1. Home
  2. Archives
  3. Vol 20 (2022) Issue 1
  4. Articles

Research Framework: Tourist Walkability and Sustainable Tourism Impact on Residents

Abstract

Tourist walkability has the latent possibility to change how the travelling public moves around tourist destinations. This research paper brings in new perspectives that studies wide-ranging implications of tourist walkability. Set through the lens of Tourism Area Life Cycle, and residents’ perception of community-based tourism, the paper discusses the trepidations and developments in economic, environmental sustainability, quality-of-life satisfaction, and socio-cultural aspects of this urban and recreational tourism activity. A critical review of relevant literature, predominantly from 2011 to 2021 was extracted from ABDC publications, Scorpus, ResearchGate.net and Google Scholar. A new sub-field on tourist walkability and community-based tourism, is of relevance to tourism policymakers and entrepreneurs. A novel research framework is developed. It is proposed for scoping the research context and offer guidelines on proposed themes that can inform scholars when formulating valid and reliable survey measurements for their future works.

Keywords

1. Introduction

Walking has been increasingly introduced as a leisure and travel activity that forms personalised tourist experiences during their pilgrimage routes and walking trails (Timothy and Boyd, 2015). There has been growing interest to make tourist destinations more sustainable by making tourist walking more convenient. Walking has been considered a recreational activity that enables sustainable mobility for people (Wang and Wen, 2017). Therefore, the term Tourist Walkability was coined as a means of alternative transportation. Tourists mostly walk on foot except for some parts of their trips, where they resort to using the public transport or hire private cars to get around large spatial areas in tourist destinations (Wang and Wen, 2017). Under these assumptions, the related industries which is tied to fuel-based land transportation will be gradually disrupted. Digital mapping services for tourists to get around on foot such as Google Maps or using other interactive Geographic Information

Systems (Endalew, Shiferaw and Kindie, 2019) are becoming popular. The other themes, which are linked to cycling using online user-generated content (Chiu and Leng, 2017), urban bicycle tourism (Nilsson, 2019), and cycle-tourism strategy (Bakogiannis et al., 2020) are emerging steadily in the sustainable tourism research stream.

Therefore, the concept of tourist walkability would blend well with the goals of environmentalists which is to educate consumers in the downstream of the marketing channel of distribution of travel and tourism products. Significant awareness and efforts have been adopted by the travel and tourism suppliers. Airports, accommodation, and transportation businesses are keen to invest their effort in energy and water conservation measures; they are seemingly encouraging to do their part to save utility costs. However, the role of the consumers aka tourists has been downplayed in preserving the environment or are they just not equipped to do so with the current walkability infrastructure in tourist destinations around the world. Therefore, public infrastructure such as pedestrian walks, cycling paths and walkway shelters connecting the places of attractions within tourist destinations is seemingly important. If not, tourists are coaxed to think that tourist walkability would make their travel experience seamless and unique.

Walkability infrastructure in tourist destinations may enhance the tourists' perceptions of getting an eco-friendly vacation. Based on the growing trend of tourist walkability, it is important for public agencies that are involved in the urban and recreational planning and the local tourist boards to work hand in hand to plan and equip tourist destinations with cycling paths and proper infrastructure for pedestrians. In addition, proper connection with the public transport such as hop-on buses and trains in strategic locations to pick-up and alight the tourists must be included in the plan. There are limited cross-comparison destination studies on the potential values of tourist walkability in the tourism industry. Extant studies have mostly explored on longitudinal investigation on the positive social and health impacts of walkability and the facilities provided in the neighbourhoods and residential areas across different family life stages (Rundle et al., 2019).

In the tourism context, there has been cross-sectional studies and specific tourist destinations selected as case studies. However, cross-comparison studies in this topic remains very rudimentary. Therefore, it would be interesting to examine a few similar destinations in each of the six Tourism Area Life Cycle (TALC) stages (Butler, 1980) and analyse its impact on the communities that thrive on the tourism industry. The comparative lack of social science perspectives, alongside with the rapid pace of the tourist walkability trend, and the accompanying impacts on the development of communitybased tourism, have led to this urgent call. Further studies are needed to examine the relationship between tourists and residents and the economic, environmental sustainability, quality-of-life satisfaction, and socio-cultural implications. Yet, few authors (e.g., Sharmin and Khan, 2019) have examined tourist walkability in the context of urban and recreational planning together with community-based tourism in Bagerhat, Bangladesh.

Against this background, this paper aims to penetrate new grounds in the socio-economic and environmental study of tourism by exploring the implications of tourist walkability. The paper focuses on analysing various impacts of tourist walkability on the residents' life in different tourist destinations. The selected tourist destinations are in the Indonesia-Malaysia-Singapore Growth Triangle (or IMS-GT) where the host communities have similar demographics, social, economic, and environmental status, and are experiencing growth in the travel and tourism industry. The research gaps in the sustainable tourism development would be addressed by studying the residents' perceptions of sustaining community-based tourism. Although the concept of tourist walkability has wide-ranging economic, environmental, quality-of-life satisfaction, and socio-cultural impacts for both tourists and residents, limited research has been emphasised on the residents' perspective in the Asian context (Jordon et al., 2019). Studies (e.g., Hunt and Stronza, 2014; Lundberg, 2015) have considered monitoring the changes in residents' perceptions in varying development phases of the community-based tourism (Li et al., 2015). Therefore, the relationships between tourist walkability and indicators of sustainable tourism are discussed by applying a research framework developed for this purpose, and it is named Tourist Walkability Sustainable Tourism Impact on Residents (or TWS).

This paper advocates future studies to be undertaken in studying tourist walkability in tourist destinations that are in six different stages based on the TALC model. Set against key arguments in the urban and recreational tourism, it is to gather residents' perceptions on how tourist walkability may impact the tourist destinations in terms of spatial changes, choices on the transport mode, tourism employment, social behaviour, and environmental resources. The discussion in this paper may not only be of interest to the scholarly world, as its original idea and concluding research agenda are burrowing into a new sub-field of empirical interest in tourism research. A widespread potential of tourist walkability for urban and recreational tourism infers that local and state tourism policymakers, travel and tourism entrepreneurs may find this paper of instant and ongoing relevance. As the following sections reveal, tourist walkability will not only lead to new social, economic, and environmental opportunities for urban and recreational tourism spaces. It would also present the sacrifices and inequalities of communities, in which the attention of tourism policymakers and the communities that thrive on the travel and tourism industry must not be neglected. A critical review of relevant literature, predominantly from 2011 to 2021 was extracted from ABDC publications, Scopus, ResearchGate.net and Google Scholar is performed to develop a novel research framework of the six TALC stages with informed guidelines and identified themes.

2. Literature Review

2.1. Tourism Area Life Cycle (TALC) for Community-Based Tourism

The TALC model by Butler (1980) depicts the changes in the tourism development over the years. The TALC model or its S-curve is an adaptation of the product life cycle concept to suit the tourism context, in which the x axis represents the evolution of the tourism development over six stages and the y axis represents the number of tourists (Butler, 1980). The S-curve shape may vary across tourist destinations due to their different characteristics; though the evolution of the tourism industry regularly undergoes the following six stages, namely exploration, involvement, development, consolidation, stagnation, and decline or rejuvenation (Butler, 1980). Based on the Butler's (1980) model, it describes the incipient number of tourists taking interest in a new destination at the exploration stage. As tourists visit more often at the development stage; better-equipped infrastructure, facilities and services are offered by the residents. At the development stage, the number of tourists hover close to the number of residents at any point of time (Butler, 1980). Butler (1980) accounted that when the number of tourists surpasses the number of residents but at a declining growth rate, this phenomenon signals the reach of the consolidation stage. The residents begin to feel irritated with the likely commodification of their local activities and the mass tourist behaviour at this stage. The irritation leads to the decline stage in which the residents choose social and environmental conservation over the positive economic benefits (Butler, 1980). This may lead to a rejuvenation of the tourist activity that would shape a new S-curve all over again (Butler, 1980). Since residents may have different viewpoints and involvement across the six TALC stages, it is important for the destination managers to recognise each stage of the tourism development plan, to consider progress of infrastructure, facilities, and services that appeal communities (Kubickova and Martin, 2020). Both positive and negative perceptions of the residents are vital determinants for the success of implementing the tourism development plans (Kubickova and Martin, 2020). Liu and Li (2018) studied resident perceptions in developing countries and found that the residents desire to attract more tourists and further develop the tourism infrastructure to host the tourists, despite environmental apprehension. It was found that the residents strongly agreed to open their communities to tourists between the development and the stagnation stages of the TALC due to the increase in job opportunities and the revival of community cultural activities (Liu and Li, 2018). Whereas environmental pollution, which results in strict industry regulations, was a key concern among the residents in the exploration stage (Liu and Li, 2018). Therefore, the TALC model may

help destination managers make informed decisions, formulate, and implement effective sustainability strategies based on the past and present tourism development trends (Kubickova and Martin, 2020).

Past studies based on the carrying capacity theory have discussed about the degree of residents' support towards tourism development in the different stages of the TALC model (Liu and Li, 2018). One of the positive residents' perceptions toward tourism is the economic benefits gained at the early developmental stages (Diedrich and García-Buades, 2009; Liu and Li, 2019). Peters, Chan, and Legerer (2018) found that the attitude of the residents in Austria towards tourism is highly positive as the respondents indicated a sense of openness towards tourism development and that the benefits outweigh the costs. Although significant positive relationship between attitude and support is detected, the findings should be treated with discretion. There are residents within the Austrian community who tend to act more passively in supporting tourism development, therefore the association of their attitude and support is not obvious (Peters, Chan and Legerer, 2018).

Negative impact on the environmental and socio-cultural factors may occur but deemed acceptable; and in some developing nations, negative impacts were ignored during the early stages of the tourism development (Liu and Li, 2018). Meanwhile, the negative perceptions in comparison are suppressed by the increasing positive perceptions of the residents following the early stages of the tourism development. This leads to residents supporting the advancement of the tourism development that is taking place. Despite those positive perceptions gradually increase the degree of tourism development, the pace of increased development declines and the negative perceptions start to rise in the consolidation and stagnation stages (Diedrich and García-Buades, 2009; Yun and Zhang, 2017). Yu, Cole and Chancellor (2011) shared that socio-cultural and environmental repercussions reduce resident support for tourism, whereas economic and socio-cultural benefits positively garner residents' support. Furthermore, it is found that there is insignificant relationship between the environmental benefits and the negative economic impacts as well as the residents' support for tourism development. In the studies of resident attitude, factors such as positive and negative economic, socio-cultural, and environmental impacts have been observed in the resident and tourist exchange processes. In the tourism literature, the TALC model suggests that residents tend to have positive perceptions for tourism development, and they subsequently support it when they perceive the advantages outweigh the disadvantages. Several studies have reported that the TALC model explains how residents respond to tourism development. Residents who appreciate local resources and support tourism development will portray higher involvement (Shakeela and Weaver, 2018). On the other hand, there are also claims that residents who are not involved in the tourism sector tend to have a more negative attitude toward tourism development as compared to residents who do participate (Hunt and Stronza, 2014; Wang, Xu and Huang, 2020). Therefore, motivating residents to partake in the tourism development phase with additional economic advantages can improve residents' perceptions of tourism development (Hunt and Stronza, 2014; Ng and Feng, 2020).

2.2. Sustainability of Community-Based Tourism

During the initial stages of the community-based development, the biophysical environmental elements, tourism policymaking and managerial implications for future tourism development must be examined (Cerveny, Miller and Gende, 2020). Substantive planning, management, and control enable community-based tourism to progressively improve the quality-of-life of communities. Other than drawing respect from others, people can embrace the local cultures while preserving the biodiversity in communal spaces (Cerveny, Miller and Gende, 2020). There has been a shift of focus on the concept of Gross National Happiness (GNH) that encompasses 33 indicators which could be classified into nine domains and four pillars. These four pillars are socio-economic development, cultural conservancy, environmental protection, and good governance (United Nations, n.d.). GNH recognises the effort from major groups and other stakeholders (MGoS) and upholds the practice of sustainable tourism development. The adoption of low impact and high value tourism policies aim to protect the socio-economic and environmental interests, as well as the happiness of the local communities (United Nations, n.d.).

Hasty and poorly thought-out plans and environmental management for an emerging tourist destination may cause dreadful problems for the local communities such as strained water and energy resource management, lack of waste and sewage management, pollution, and biodiversity damage (Chen, 2020). The growth of tourism development in a destination on one hand may create job opportunities for the tourism communities, on the other hand it may jeopardise the traditional livelihoods of the non-tourism communities (Chakraborty, Gasparatos and Blasiak 2020). Therefore, the local communities and residents possibly will endure these opposed impacts to gain economic benefits in the early stages of the community-based tourism (Diedrich and García-Buades, 2009; Liu and Li, 2019).

In order to sustain community-based tourism, tourism policymakers and managers must obtain greater knowledge in sustainability, garnering support from the public-private companies such as universities, non-governmental organisations (NGOs), urban and planning architects, tourist boards, tourism-based commercial companies, the local residents and the sojourners that form the broad ecosystem of the tourist destination. In some emerging tourism-based nations, NGOs and scholars offer education on sustainable tourism and provide training to the local residents on how to preserve their socio-cultural resources (Chakraborty, Gasparatos and Blasiak 2020) and conserve their environment (Cerveny, Miller and Gende, 2020; Chen 2020). Likewise, governments implement tourism policies to control tourism development in an effort to secure the welfare of the local residents and their quality-of-life (Rubio-Cisneros et al., 2019).

Sustainability implications in terms of community-based tourism have been intensely debated (Cerveny, Miller and Gende, 2020). Community-based tourism must foster local economic opportunities to residents, fairly protect the local environment, and improve the quality-of-life of residents (Diedrich and García-Buades, 2009; Liu and Li, 2019). Furthermore, tourism policymakers and managers of community-based tourism may offer farming expenses and educational services that can generate new income for some agricultural communities and socio-economic sustainability, while enhancing tourists' satisfaction (Ohe, 2020). Community-based tourism has several caveats. Cuong (2020) claims that the minority ethnic groups could be alienated in the community-based tourism business ventures and other value production activities. Stone and Stone (2020) attempt to explain that the challenges arise are due to loose community definitions, passive involvement of multistakeholders, lack in business acumen, unfair income distribution and poor reinvestment planning.

Dewi, Ristianti and Kurniati (2020) commented that while there is gradual increase in interest amongst the local villages of Balik Kampong Semarang in Indonesia, it has resulted unplanned disappearance of historic buildings and changes of modern buildings and activities to fulfil the emerging commercial and tourist needs. The economic sustainability has not been meaningfully achieved despite help from the local government to develop the local villages into tourist destinations. Barbieri, Sotomayor and Gil Arroyo (2020) find that the direct government support in communitybased tourism had not been forthcoming. The goal to improve the welfare of the rural communities in Peruvian Andes, in Peru has not been formally evaluated until now. In the progress development of community-based tourism, Barbieri, Sotomayor and Gil Arroyo (2020) assert that the communitybased tourism should be maintained as a side income to agricultural livelihoods.

Giampiccoli, Abdul Muhsin and Mtapuri (2020) commented that unequal distribution of benefits and control can lead to uneven redistribution of resources in a matured tourist destination. Decentralisation of the guesthouse sector in the community-based tourism destinations is recommended. For instance, the foreign controlled organisations develop resorts, while the locals can focus on community guesthouses to serve the high-yield tourists and the budget market. Gan (2020) adds that reasons attributing to the negative perception of native communities may be due to prolonged disruption of livelihood as they gradually lose the non-tourism land to the industry. The loss of native livelihood exacerbates socio-economic deprivations and thus amplifies the anticipation for income replacement. When the income is deemed lacking, the perceived costs of communitybased tourism is magnified. Therefore, it is pivotal to manage the expectations of the locals. Overplaying the role of community-based tourism as the primary source of income may result conflicts and unhappiness for its residents.

Community-based tourism increases social unity, consolidates socio-cultural identity (Su et al., 2020) and protect natural resources (Dewi, Ristianti and Kurniati, 2020). Life satisfaction benefits concerning the community's well-being, health and safety, emotional well-being, and material are paramount (Sirgy, 2019). Tourism policymakers can comprehend the local residents' perceptions of tourism impacts by evaluating those four life satisfaction benefits. It can infer the level of success of community-based tourism (Sirgy, 2019). Tourism policymakers, travel and tourism business entrepreneurs are able to gain a better understanding of local residents' perceptions by continuing studies spanning the pre-, during and post- development of community-based tourism (Mustafa, Omar and Mukhiar, 2020). The research framework of this study would be useful for reference to manage and observe changes caused by community-based tourism development and assess sustainability.

2.3. Residents' Perceptions of Tourism Impacts

Demographic factors such as gender, age, education level, and years of residence can influence residents' perceptions for community-based tourism (Sinclair-Maragh, 2017). Other factors that affect residents' perceptions include tourism planning (Gong, Detchkhajornjaroensri and Knight, 2019), the stage of tourism development (Lee and Jan 2019) and community attachment (Eslami et al., 2019). Models that encompassed the three connections - tourism, local residents, and biodiversity are formulated to comprehend the benefits and costs to the community (Brandt and Buckley, 2018). Previous studies that evaluated residents' perceptions had covered socio-economic impacts and their support for tourism development (Chang et al., 2018; Hunt and Stronza, 2014). Several scholars have incorporated life satisfaction indicators and stakeholders' well-being in their study on communitybased tourism. Residents' perception on well-being and life satisfaction may impact the direction of tourism planning and policymaking (Lin, Chen and Filieri, 2017; Kim, Uysal and Sirgy; 2013). The rest of scholars applied the PESTEL model and situational analysis to examine the development of tourism management and strategies (Jalani and Rahim, 2018). Lee and Hsieh (2016) studied the community-based tourism perceptions of stakeholders which include government agencies, for-profit and non-for-profit firms, residents, visitors, and the environmentalists. 141 indicators were formulated to measure each of the stakeholders' perceptions. Residents appear to be the most visible stakeholder in community-based tourism development (Lee and Hsieh, 2016).

Studies on residents' perceptions of tourism impact have become an area of interest in tourism literature, namely linked with the concept of societal sustainability since the tourism phenomenon intervenes directly in the life of individuals (Kubickova and Martin, 2020; Lee and Hsieh, 2016). The costs and benefits of tourism impacts will determine the residents' support for tourism development, particularly towards community-based tourism (Lee, 2013; Lee and Hsieh, 2016; Jordon et al., 2019). Residents are important stakeholders in community-based tourism because tourists communicate and interact with the residents who forge memorable experiences for one another. Carvalho, Ribeiro and Peter (2020) used the attitudes-behavioural approach to study the order of residents' perceptions for community-based tourism. One primary contribution was when the three authors introduced residents' attitude towards tourism and tourists as a new variable in the tourism literature.

The findings of Carvalho, Riberio and Peter's (2020) study deduce that the residents have dismal belief for the environmental impacts of tourism, but they have higher appreciation for the social impacts, and they value the economic benefits the most. Framing on Weber's theory of substantive and formal rationality and social exchange theory, Gannon, Rasoolimanesh and Taheri (2020) found that the residents' perceptions of tourism impacts play a mediating role in influencing the relationships between economic gain, community attachment, environmental attitudes, and resident support for tourism development. The indirect effects of involvement and cultural attitudes are not significant in determining residents' support for tourism development (Gannon, Rasoolimanesh and Taheri 2020). This study proposes that for future empirical evidence gathering to apply a mixed method approach. This encompasses investigation of residents' perceptions of tourist walkability and the economic, environmental, quality-of-life, and socio-cultural impacts on its communities.

2.4. Walkability, Weighing Benefits versus Costs

Some studies focus on the perceived economic, socio-cultural, quality-of-life satisfaction and environmental impacts when examining the residents' perceptions on tourism development. Litman (2017) explains that walking offers a fair and an efficient mode of transport. Traditional transportation planning tends to overlook the economic assessment of walking and its benefits, therefore underestimating the potentials of walking, and seeing far less investment in walkability infrastructure. Studies with regards to the resident and tourist exchange process include tourists' reliance on walking and/or cycling for basic mobility and paying for the accommodation, entertainment, and foodservices offered by the residents in the communities. Despite many government officials, tourism practitioners, tourists and residents show support for active transport, Litman (2017) observes that they prefer cycling rather than walking.

Provokingly, majority of the community stakeholders consider walking is too communal and its pedestrian benefits are too obvious to call for serious research. Better assessment tools for tourist walkability need to be developed to receive the support and attention that this touristy activity deserves. Tourist walkability depends on the walkability improvements which include the automobile travel reductions beyond just the travel shifts to walking and cycling from automobile travel (Litman, 2017). An automobile-mile travelled will be saved with an additional mile walked by tourists. Tourist walkability improvements would not only reduce the need for car rentals, but they also support public transit travel and multi-modal neighbourhood development.

Cycling and walking pathways, side and cross walks, street scaping, comfort and safety are a few important considerations for walkability improvements. From the economic perspective, the direct benefits of walkability improvements include the ease of managing travelling time and the money savings valued at a percentage of wages (Blincoe et al., 2014). Nearby property values increase when pedestrian paths, sidewalks, and street scaping are built and improved (Litman, 2017). Street scaping draws residents to set-up their business in the new-found commercial streets and attracts local and touristy business activities (Fleming, Turner and Tarjomi, 2013). Hotel real estate values rise in New York City in areas of high walkability (Lee, 2019).

On the other hand, there are economic costs for the walkability improvements such as upgrading pedestrian walks and cycling paths that can potentially increase tourist tax collection (Litman, 2017). From the socio-economic equity grounds, walkability improvements with universal design features like the ramps and curb cuts, offer basic and independent mobility that would benefit the socially and economically disadvantaged people (Litman, 2017). Pedestrian facility investments enable nonautomobile travel for residents and tourists from all age groups, incomes, preferences, or disabilities. Public investments in the walking, cycling, and public feeder services allow non-drivers including tourists to travel economically (Litman, 2017). Other socio-cultural benefits and quality-of-life satisfaction have been observed too. Walking ranks as one of the popular recreation activities and it is a common alternative mode of transport where people walk on trips for enjoyment, even if they could drive or hire a car. Studies have shown that walking improvements enable more walking activities and lead to higher user enjoyment (Calogiuri et al., 2018; Forsyth, 2015; Wang and Wen, 2017). Other than the routine gym and sports activities, walking is often the most accessible way to increase public fitness that offer positive health benefits (Mansfield and Gibson, 2015). Another utmost benefit is community cohesion and increased security (Litman, 2017).

Improved walkability potentially enhances the quality of relationships of tourists and residents as well as residents and neighbours, friends, and acquaintances, leading to improved community connections and better sense of responsibility (Litman, 2017). Gilderbloom, Riggs, and Meares (2015) found that local crime rate declines and residents' security increases when community walkability escalates. The shift of automobile travel to walking and cycling can help to relieve traffic woes. A travel in the urban areas that encompasses a short distance could shift to walking and cycling. When walking and cycling conditions are better, tourists can walk or cycle to nearby places and subsequently reduce traffic friction, hailing taxi and chaperon needs, as well as reduce the public transit travel such as feeder buses.

Kuzmyak (2012) and Litman (2017) claimed that when the tourist and resident communities do more walking and cycling or both, the walkability improvements increase traffic calmness, reduce vehicle travel speeds, and road accidents. Both scholars added that lower traffic congestion costs reduce vehicle ownership costs and energy consumption. It is noted that energy consumption causes several external costs encompassing national security and economic impacts from the need of important fuel, in addition to the health and environmental damage from pollution (Litman, 2017). Litman (2017) explains that vehicle ownership costs increase when motorised travel for short urban trips is made, in which more fuel is burnt due to starting a cold engine and being stuck longer in traffic congestion. Litman (2017) added that with less motor vehicles on the roads, results in less water, noise, and air pollution which can otherwise harm the natural environment, vegetation, and people. Walkability improvements that encourage walking and cycling can improve the overall quality-of-life satisfaction for both residents and tourists due less carbon emissions. On the hindsight, walking requires additional travelling time since walking tends to take a longer time to reach one's intended destination. Depending on the infrastructure conditions, walking and cycling travel time can result in negative social costs. If walking or cycling is undertaken under stressful conditions such as without designated walking and cycling paths, additional stress and health problems for people who cannot cope with a sudden prolonged walking and cycling can happen (Litman, 2017).

Walking and cycling seemingly assume unique roles in offering a fair and an efficient transportation mode. Traditional transportation inclines to disregard these benefits and so undervalues walking and cycling, resulting to insignificant investment in walkability improvements that tourists and residents could have relied on and enjoy the benefits. Many government officials, municipal councils and residents may support active transport, and their efforts mostly concentrate on cycling rather than walking as the latter is apparently deemed too common to demand any serious research. Walkability improvements may shift travel from automobile to walking and cycling, and offer substance to accommodate a more compact, multi-modal neighbourhood spatial planning. On the other hand, poor walkability conditions may lead to longer travelling time, higher stress levels and adverse health benefits to residents and tourists. Therefore, the costs and benefits in the assessment of walkability offers guidance to respond to those demands and to be mindful of the adverse impacts. By understanding the walking and cycling benefits, tourism policymakers would consider changing tourism planning priorities. Furthermore, the decision to channel more tourist taxes into walking and cycling projects, shifting automobile road lanes to walking and cycling paths in touristy places, urban areas, and recreational places could be justified. More importantly the reduction of traffic woes, longterm environmental pollution, vehicle ownership costs, and the increase of tourist and resident interactions, economic benefits from the tourist spending, and potential health benefits create winwin strategies that directly benefit the tourists and residents.

2.5. Research Framework

A critical review of the literature from Sections 2.1 to 2.4 had formed Table 1, referring to publications primarily from 2011 to 2021 from ABDC publications, Scopus, ResearchGate.net and Google Scholar. The discussion and findings had allowed the framing of the aims of this paper and thereafter underpins the research framework in Figure 1.

Table 1. Critical review of literature

TopicAuthorsCritical Review
Tourism Area
Life Cycle
(TALC) for
Community
Based Tourism
Butler, 1980; Diedrich
and García-Buades,
2009; Hunt and Stronza,
2014; Kubickova and
Martin, 2020; Liu and
Li, 2018; Ng and Feng,
2020; Peters, Chan, and
Legerer, 2018; Shakeela
and Weaver, 2018;
Wang, Xu and Huang,
2020; Yu, Cole and
Chancellor, 2011; Yun
and Zhang, 2017.
Residents exhibit different viewpoints and involvement across
the six TALC stages. Destination managers need to recognise
at each stage of the tourism development plan, to consider the
progress of infrastructure, facilities, and services that appeal to
the communities. Both positive and negative perceptions of
the residents are vital determinants for the success of
implementing the tourism development plans but must take
careful deliberation of the carrying capacity of the tourist
destination. Even though significant positive relationship
between attitude and support is established, the findings
should be treated with discretion. There is evidence that
residents would partake in the tourism development phases by
providing additional economic advantages, but more research
effort in the Indonesia-Malaysia-Singapore Growth Triangle
(IMS-GT) region would be necessary.
Sustainability
of
Community
Based Tourism
Barbieri, Sotomayor and
Gil Arroyo, 2020;
Cerveny, Miller and
Gende, 2020;
Chakraborty,
Gasparatos and Blasiak
2020; Chen, 2020;
Cuong 2020; Dewi,
Ristianti and Kurniati,
2020; Diedrich and
García-Buades, 2009;
Gan, 2020; Giampiccoli,
Abdul Muhsin and
Mtapuri 2020; Liu and
Li, 2019; Mustafa, Omar
and Mukhiar, 2020;
Ohe, 2020; Sirgy, 2019;
Su et al., 2020.
There has been a shift of focus in the more recent studies.
This refers to the adoption of low impact and high value
tourism policies aim to protect the socio-economic and
environmental interests, as well as the happiness of the local
communities. The growth of tourism development in a
destination on one hand may create job opportunities for the
tourism communities, on the other hand it may jeopardise the
traditional livelihoods of the non-tourism communities.
Sustainability implications in terms of community-based
tourism have been intensely debated. Henceforth, there is a
further need for tourism policymakers to comprehend the
local residents' perceptions of tourism impacts by evaluating
in terms of sustainability from the economic, environmental,
quality-of-life, and socio-cultural perspectives.
Residents'
perceptions of
tourism
impacts
Brandt and Buckley,
2018; Carvalho, Ribeiro
and Peter, 2020; Chang
et al., 2018; Gong,
Detchkhajornjaroensri
and Knight, 2019;
Eslami et al., 2019;
Hunt and Stronza, 2014;
Jalani and Rahim, 2018;
Jordon et al., 2019;
Kubickova and Martin,
2020; Lee, 2013; Lee
and Hsieh, 2016; Lee
and Jan 2019; Lin, Chen
and Filieri, 2017; Kim,
Uysal and Sirgy; 2013;
Gannon, Rasoolimanesh
and Taheri, 2020;
Sinclair-Maragh, 2017.
Extant studies have identified residents' demographic factors,
PESTEL and situation analyses can influence residents'
perceptions for community-based tourism. In turn, models
that encompassed the three connections - tourism, local
residents, and biodiversity are formulated to comprehend the
benefits and costs to the community. Residents appear to be
the most visible stakeholder in community-based tourism
development. Studies on residents' perceptions of tourism
impact have become an area of interest in tourism literature,
namely linked with the concept of societal sustainability since
the tourism phenomenon intervenes directly in the life of
individuals. The costs and benefits of tourism impacts will
determine the residents' support for tourism development,
particularly towards community-based tourism. Therefore,
more research effort is vital for future empirical evidence
gathering that encompasses investigation of residents'
perceptions of tourist walkability and the economic,
environmental, quality-of-life, and socio-cultural impacts on its
communities.
AuthorsCritical Review
Walkability,Blincoe et al., 2014;Traditional transportation planning tends to overlook the
WeighingCalogiuri et al., 2018;economic assessment of walkability (walking and cycling) and
Benefits versusFleming, Turner andits benefits. Fewer studies were seen on examining the
CostsTarjomi, 2013; Forsyth,residents' perspectives on the socio-economic, environmental
2015; Lee, 2019,and quality-of-life impacts of walkability. Provokingly,
Gilderbloom, Riggs, andmajority of the community stakeholders consider walking is
Meares, 2015; Kuzmyak,too communal and its pedestrian benefits are too obvious to
2012 Litman, 2017;call for serious research. Better assessment tools for tourist
Mansfield and Gibson,walkability needs more attention. Walking and cycling
2015; Wang and Wen,seemingly assume unique roles in offering a fair and an
2017.efficient transportation mode. By further exploring the costs
and benefits in the assessment of walkability, future research
findings can offer guidance to tourism policymakers when
considering the tourism planning priorities and to create win
win strategies that directly benefit the tourists and residents.

Sources: ABDC publications, Scopus, ResearchGate.net and Google Scholar (2011-2020)

A tourist destination can be reeling over its lifetime in six stages: exploration, involvement, development, consolidation, stagnation, and decline/rejuvenation stages; coined the S-curve of the Butler's (1980) TALC model. The extent of evolution of tourism development or S-curve pattern may differ based on factors such as the tourist and resident demographics, the tourist walkability places and connectivity as well as the carrying capacity (Butler, 1980). Butler (1980) claimed that the residents' attitude may change from being euphoric in the early stages of the TALC model in community-based tourism destinations to being annoyed and even aggressive towards tourists in the later stages of the TALC model. By mapping the six TALC stages, this paper uncovers both positive and negative residents' perceptions as well as the extent of resident support for community-based tourism. Residents' positive attitude towards community-based tourism development in the early stages is mostly related to economic benefits that outweigh the socio-cultural costs, otherwise ignored in developing nations (Diedrich and García-Buades, 2009).

However, negative residents' perception may begin to increase, particularly in the consolidation stage, although tourism development is on the right track and is reaping positive economic benefits (Diedrich and García-Buades, 2009). The residents' support for community-based tourism may vary significantly and it depends on the reaction and adjustment of the residents towards the negative impacts on environment, quality-of-life, and socio-cultural aspects of their lives (Diedrich and García-Buades, 2009). Tourist walkability is deemed less imposing on residents' life (Calogiuri et al., 2018; Forsyth, 2015; Wang and Wen, 2017), so it is interesting to establish the degree of residents' involvement with tourism across several tourism destinations at different TALC stages. Walkable and cycling places are being positively associated in enhancing economic performance (Credit, 2018) and real estate development (Trowbridge et al., 2014).

Previous studies have also promoted the perceptions of environmental impacts for measuring residents' perceptions of sustainable tourism (Jordon et al., 2019; Lee, 2013; Lee and Hsieh, 2016). Researchers (e.g., Kim et al., 2013; Woo et al., 2015) have presented quality-of-life as a measure of residents' perceptions of community-based tourism and have used it to investigate residents' perceptions and support for tourism development. Various benefits of walking, cycling and improvements in walkability have been encapsulated as improved feelings, positive sense of place, better public health, as well as reduction in resource use, traffic congestion, air and noise pollution in urban and natural spaces (Calogiuri et al., 2018; Forsyth, 2015; Wang and Wen, 2017). Therefore, residents' perceptions regarding tourist walkability on economic, environment, quality-of-life, and socio-cultural outcomes of community-based tourism can be both positive and negative. This is incorporated in the TWS framework (Figure 1) with the following hypotheses:

H1a: Tourist walkability (+) has a positive impact on economic sustainability.

H1b: Tourist walkability (-) has a negative impact on economic sustainability.

H2a: Tourist walkability (+) has a positive impact on environmental sustainability.

H2b: Tourist walkability (-) has a negative impact on environmental sustainability.

H3a: Tourist walkability (+) has a positive impact on quality-of-life sustainability.

H3b: Tourist walkability (-) has a negative impact on quality-of-life sustainability.

H4a: Tourist walkability (+) has a positive impact on socio-cultural sustainability.

H4b: Tourist walkability (-) has a negative impact on socio-cultural sustainability.

9

Figure 1. TWS research framework: Pre-, During and Post- Tourism Development Stages Source: Author (2021)

3. Research Methodology

The recommended measurements for the degree of tourist walkability are to apply the Walk Score and the Transit Score. Both scores are widely used indices for assessing walking potential. Spatial features such as accessibility, attractiveness, comfort, connectivity, and continuity, to some degree form tourists' expectations that impact their levels of satisfaction (Mansouri and Ujang, 2016). The residents' perceptions on the built environment are gathered to facilitate tourist walkability based on pedestrian paths and transportation transit facilities in the pre-, during, and post- tourism development stages. This is to reflect the extent to which tourists would be able to undertake walking in their travels within each tourist destination. To reduce spurious effects, a baseline approach on the similarities that include the attraction types, population size, economic development status, residents' demographics and occupation are to be applied when selecting the tourist destinations under study. The baseline study would be able to assess the economic, environmental, quality-of-life satisfaction and socio-cultural impacts where tourist walkability has been practised in the community-based tourist destinations.

One year is cumulatively added through the passage of the subsequent TALC stage when assessing the pre-, during and post-development impacts of tourist walkability. This is to examine before- and after-effects of tourist walkability and its introduction for one year in the exploration stage, two years after in the involvement stage until six years later in the decline or rejuvenation stage. Information on tourism communities from travel websites would be gathered to identify good samples of community-based tourist destinations. Two best-fit community-based tourist destinations will be selected for each of the six stages of the TALC model. The selected tourist destinations are located

within the Indonesia-Malaysia-Singapore Growth Triangle (or IMS-GT) that host communities with similar demographic and socioeconomic status and are experiencing tourism market growth. The touristy activities are similar in its natural and man-made attraction settings as well as the targeted tourists.

Table 2 shows the tourism development stages coined by Butler (1980) and tourist destinations proposed for understudy. Permission will be sought from the leaders from each community who are willing to participate in the survey before data collection. Two similar tourist destinations representing each of the six TALC stages are targeted to improve the validity of future empirical studies and make data comparisons. A mixed methods approach is recommended to examine the goodness of fit of the proposed TWS research framework.

Table 2. Tourism development stages and proposed tourist destinations

Selected Tourist Destinations
Kusu Island in Singapore and Kapas Island in Terengganu, Malaysia
Kukup Laut, Johor, Malaysia and Labuan Bajo in Nusa Tenggara,
Indonesia
Desaru, Johor, Malaysia and Mandalika in Lombok, West Nusa
Tenggara Province, Indonesia
Genting Highlands, Malaysia and Marina Bay Sands in Singapore
Medan City, Indonesia and Malacca City in Malaysia
Lake Toba in North Sumatra and Lake Chini, Pekan District, Pahang,
Malaysia

Source: Author (2021)

Focus groups with residents applying the themes in Table 3 and construct items in Table 4 will form the core semi-structured interview questions. In each of the selected tourist destination, research team members or the local enumerators would undergo training on effective interviewing techniques. Preferably, university students who are pursuing tourism related courses and can speak the local language in case of translation into the local language and back translation is needed. A set of the survey indicators on assessing tourist walkability that impact the residents' life would be revised according to the feedback from the residents in the focus group interviews conducted in the final twelve identified community-based tourist destinations.

Table 3. Primary themes for evaluating walking accessibility

ThemesCharacteristicsUtilitySources
DistanceAccessibility (proximity) is spatial
separation among places, i.e., lower
separation implies higher accessibility.
The shorter the distance to
opportunities the higher the
Useful if opportunities are
perceived as, substitutes,
perfect, or near perfect, e.g.,
accessibility train stations or
bus stops. This assumes a
Pearce,
Witten and
Bartie,
2006;
Mavoa et
accessibility.person wants to be closest to
the most possible opportunity,
and all opportunities offer the
similar value.
al., 2012
Gravity-based
(and cumulative
opportunities)
The gravitational technique claims that
spatial interaction increases inversely
with shorter distance. Based on weight
opportunities and denominator in the
gravity model, applying an impedance
function, i.e., travel distance, travel
time
Opportunities are viewed as
complementary, and travel
(distance or time) as a cost to
be optimised or kept within at
an acceptable value, e.g.,
accessibility to attractions that
help in urban planning.
Manaugh
and El
Geneidy,
2012
Infrastructure
based or
topological
Measures accessibility that focuses on
the analysis of network connectivity
Useful for evaluating the
influences a road network has
on movements and overall
Hoedl.,
Titze and
Oja, 2010;
ThemesCharacteristicsUtilitySources
and/or the active transport
infrastructure and typology.
accessibility. Despite that
these measures do not assess
the present opportunities, are
useful as planning tools for
development proposals.
Walk
or
walkability
score-type
Built environment characteristics but
not route characteristics that defines
accessibility as the relationship
between a clear origin point to a clear
set of destination points, e.g., Walk
Score®.
Overall indicators of the
active travel fundamentals for
spaces.
Duncan et
al. 2013;
Manaugh
and El
Geneidy,
2012
Expectations of
Walkability
Elements
Close to public transport nodes, easy
to connect destination points,
directness of walkway points,
proximity to transit points, availability
and continuity of walkways/alternative
routes, pedestrian routes, walking
signages, visual attractiveness
Useful for evaluating walking
element, attributes and
outcomes including revisit
intention.
Ujang and
Muslim
(2014)
Walkability
attributes
Presence of sidewalk, ground
conditions, pavement width, slope,
vehicle traffic flow, number of
crosswalks, signage, litter, number of
trees, natural areas, shade, number of
shops and services, number of tourist
establishments, bus/subway stops,
bicycle-sharing stations, bike lanes,
street connectivity
Manzolli,
Oliveira and
Neto (2021)
Factors
influencing
walkability
Spatial climate, topography, prevailing
wind direction, urban pattern,
landscape), social (demographic data,
cultural and sociological values),
economic (land-use patterns)
Arslan et al.
(2018)
Satisfaction
on
Walkability
Connectivity, comfort,
Feelings, safety, attractiveness,
pleasantness
Ujang and
Muslim
(2014)
Revisit IntentionAuthenticity, Walkability, SatisfactionErnawadi
and Putra
(2021)
WalkabilityComfort and safety (behavioural andUseful for indicators toBerzi,
Assessmentssubjective), structured (usefulness),
structured and subjective (comfort and
attractiveness)
incorporate on walkability
assessments
Gorrini and
Vizzari
(2017, July)
AssessmentsWeather and climate are barriers of
tourism-related walkability
Hall and
Ram (2019)

Source: Multiple authors (2006, 2010, 2013, 2014, 2017 July, 2018, 2019 2021).

Pre-testing of the revised survey questionnaire would be performed with at least two residents each from the selected tourism destinations. A pilot test would be performed with at least 30 usable responses to test the reliability (Cronbach's alpha) of the scale measurements that meet the minimum acceptable level of 0.7. The Pearson Product Moment Correlation would be used to test the validity of the scale measurements. Data collection would be performed using the tested survey questionnaire to gather residents' perceptions on the accessibility of the tourist walkability based on the Walk Scores and Transit Scores and the impact on the four sustainability indicators.

Indicator No of construct Adapted from Extant Studies Economic Sustainability 6 Choi and Sirakaya (2006); Lee (2013); Yu, Chancellor and Cole (2011) Environmental Sustainability 3 Choi and Sirakaya (2006); Lee and Hsieh (2016); Yu et al. (2011) Quality-of-life Sustainability 14 Kim et al. (2013); Sirgy and Lee (2006); Woo et al. (2015) Socio-cultural Sustainability 10 Choi and Sirakaya (2006); Lee (2013) Total: 33

Table 4. Constructs for Four Sustainability Indicators

Source: Multiple authors (2006, 2011, 2013, 2015, 2016)

A compilation of the resident demographics such as gender, age, educational level, marital status, and monthly income would be incorporated in the survey. Purposive sampling would be adopted in the survey which is a useful technique for identifying and selecting information-rich cases. The primary selection criteria of the tourist destinations include meeting the descriptive characteristics of the TALC stages and following the baselines that bear similar touristy activities and community demographics. The targeted sample size for the residents in each community-based tourist destination is established based on its percentage composition over the total population. Chi-square (χ2) goodness-of-fit test can establish whether the usable samples of each community are representative of an equal percentage of the survey (Hair et al., 2010).

Descriptive statistics (e.g., frequency, and percentages of resident demographics) and non-parameter analysis results (e.g., χ2 test) would be analysed using the SPSS Statistics 28. A confirmatory factor analysis would be carried out using AMOS to assess the validity of the research instrument. The model fit, reliability, and validity i.e., convergent and discriminant validity of the four sustainability indicators would be verified. In addition, the paired-sample t-test would be used to determine the differences between the pre-, during and post-tourism development periods and the multivariate analysis of variance (MANOVA) would be used to analyse the four sustainability indicators and to establish the between-group statistical differences (Wilks's lambda). A one-way analysis of covariance (ANOCOVA) would be performed to observe if the results remain significant after controlling the co-variate. Post hoc significant differences are to perform for each of the four sustainability indicators across the six different TALC stages.

4. Discussion

A critical review of relevant literature, predominantly from 2011 to 2021 was extracted from ABDC publications, Scopus, ResearchGate.net and Google Scholar. There are a total of 4 main topics that were discussed (1) Tourism Area Life Cycle (TALC) for Community-Based Tourism (2) Sustainability of Community-Based Tourism (3) Residents' perceptions of tourism impacts and (4) Walkability, Weighing Benefits versus Costs. Although significant positive relationship between attitude and support from residents located in tourism destinations, the findings should be treated with discretion. More research effort to establish if residents would partake in the tourism development phases by providing additional economic advantages. The growth of tourism development in a destination on one hand may create job opportunities for the tourism communities, on the other hand it may jeopardise the traditional livelihoods of the non-tourism communities.

Sustainability implications in terms of community-based tourism have been intensely debated. A further need for tourism policymakers to comprehend the local residents' perceptions of tourism impacts by evaluating in terms of sustainability from the economic, environmental, quality-of-life, and socio-cultural perspectives. The costs and benefits of tourism impacts will determine the residents' support for tourism development, particularly towards community-based tourism.

Therefore, future empirical evidence gathering that embraces investigation of residents' perceptions of tourist walkability and the economic, environmental, quality-of-life, and socio-cultural impacts on its communities is necessary. In further exploring the costs and benefits in the assessment of walkability (walking and cycling), it offers guidance to tourism policymakers to respond to these changing tourism planning priorities and create win-win strategies that directly benefit both tourists and residents.

In view of the critical review in Table 1, this paper aims to determine the significance of tourist walkability on four sustainability indicators from the perspective of residents. These include the economic, environmental, quality-of-life, and socio-cultural impacts in community-based tourism destinations. TWS was formulated to scope the research. This had helped to fill up the gap in providing a research framework accompanied by a research plan on executing the studies over the six stages of the TALC advocated by Butler (1980). Eight sub-hypotheses were formulated with the intent to propose investigation of both positive and negative sustainability impacts. Using the same research measurements, the purpose is to determine the changes of these sustainability impacts on residents for tourist destinations at different development phases. Selection of tourist destinations in Table 2, two for each TALC stage is to increase validity of these study examinations. Each tourist destination was carefully selected as each exhibited similar tourism industry progress with the other counterpart within the three neighbouring countries, Indonesia, Malaysia, and Singapore.

5. Conclusion

Themes and potential indicators to assess the impacts of tourist walkability inform scholars on the technique that can be applied across the pre-, during and post development stages of the communitybased tourism. The market proposed for understudy is within the Indonesia-Malaysia-Singapore Growth Triangle (or IMS-GT). To improve data accuracy, the degree of walking potential of tourists in the selected tourist destinations would be measured using the widely applied Walk Score and Tourist Score. The contribution to the body of knowledge is the TWS research framework that is cross-disciplinary from leisure and exercise studies to tourism management.

The practical implications guided by the TALC model and a study of the residents' perceptions on pre-, during and post-tourism development will provide valuable insights to the tourist destination policymakers and managers. They can make thoughtful strategic decisions and draw a roadmap on sustainability strategies that suit the development plan for each tourist destination. These strategies would bring values and benefits not only directly to the tourists and community residents but also various groups of stakeholders. Research limitations is that there is no tangible empirical evidence collected yet and the data collection planning and implementation phase needs to be kicked off for future works. There is lack of assessment on political, technological, and legal issues and therefore future research is warranted in these three areas. Since a part of the questionnaire is adapted based on previous scale measurements in Table 3 and Table 4, some feelings and attitudes of the respondents may not be captured in this study. The validity of the questionnaire would be heavily dependent on the feedback from the focus groups to address this shortcoming. Additionally, it can be further improved using ethnography studies and in-depth unstructured interviews. Longitudinal studies rather than studying pre-, during and post-tourism development studies at one point of time may garner more insights on the development progress in community-based tourism destinations. Cost and benefit analysis can be used to evaluate the sustainability issues faced by various tourism stakeholders. Thus, research on tourist walkability and its contribution to community-based tourism is vital.

Research Intelligence

Data from OpenAlex ↗

Metrics

2
Citations
0.79
FWCIfield-weighted
79th
Percentilevs same year + field
Article
Work type
Open Access

Citation Trend

Citation Timeline

YearCitations
20251
20231

Institution Network

References

  1. Arslan, T. V., Durak, S., Gebesce, F. D., & Balcik, B. (2018). Assessment of factors influencing walkability in shopping streets of tourism cities: case of Bursa, Turkey. International Journal of Tourism Cities, 4(3), 330-341. DOI: 10.1108/ijtc-11-2017-0071
  2. Bakogiannis, E., Vlastos, T., Athanasopoulos, K., Christodoulopoulou, G., Karolemeas, C., Kyriakidis, C., ... & Tzika, E. (2020). Development of a cycle-tourism strategy in Greece based on the preferences of potential cycle-tourists. Sustainability, 12(6), 2415. DOI: 10.3390/su12062415. DOI: 10.3390/su12062415
  3. Barbieri, C., Sotomayor, S., & Gil Arroyo, C. (2020). Sustainable tourism practices in indigenous communities: The case of the Peruvian Andes. Tourism Planning and Development, 17(2), 207-224.
  4. Berzi, C., Gorrini, A., & Vizzari, G. (2017, July). Mining the social media data for a bottom-up evaluation of walkability. In International Conference on Traffic and Granular Flow (pp. 167-175). Springer, Cham.
  5. Blincoe, L. J., Miller, T. R., Zaloshnja, E., & Lawrence, B. A. (2015). The economic and societal impact of motor vehicle crashes (Report No. DOT HS 812 013). Washington, DC: National Highway Traffic Safety Administration.
  6. Brandt, J. S., & Buckley, R. C. (2018). A global systematic review of empirical evidence of ecotourism impacts on forests in biodiversity hotspots. Current Opinion in Environmental Sustainability, 32, 112-118. DOI: 10.1016/j.cosust.2018.04.004
  7. Butler, R. W. (1980). The concept of a tourist area cycle of evolution: Implications for management of resources. Canadian Geographer, 24(1), 5–12. DOI: 10.1111/j.1541-0064.1980.tb00970.x
  8. Calogiuri, G., Litleskare, S., Fagerheim, K. A., Rydgren, T. L., Brambilla, E., & Thurston, M. (2018). Experiencing nature through immersive virtual environments: Environmental perceptions, physical engagement, and affective responses during a simulated nature walk. Frontiers in psychology, 8, 2321. DOI: 10.3389/fpsyg.2017.02321. DOI: 10.3389/fpsyg.2017.02321
  9. Carvalho, J., Ribeiro, S., & Peter, M. K. (2020). The Residents’ Perception of the Impacts of Tourism in Porto. In Marketing and Smart Technologies (pp. 420-434). Springer, Singapore.
  10. Cerveny, L. K., Miller, A., & Gende, S. (2020). Sustainable cruise tourism in marine world heritage sites. Sustainability, 12(2), 611. DOI: 10.3390/su12020611. DOI: 10.3390/su12020611
  11. Chakraborty, S., Gasparatos, A., & Blasiak, R. (2020). Multiple values for the management and sustainable use of coastal and marine ecosystem services. Ecosyst. Serv, 41, 101047. DOI: 10.1016/j.ecoser.2019.101047. DOI: 10.1016/j.ecoser.2019.101047
  12. Chang, K. G., Chien, H., Cheng, H., & Chen, H. I. (2018). The impacts of tourism development in rural Indigenous destinations: An investigation of the local residents’ perception using choice modeling. Sustainability, 10(12), DOI: 10.3390/su10124766. DOI: 10.3390/su10124766
  13. Chen, H. (2020). Complementing conventional environmental impact assessments of tourism with ecosystem service valuation: A case study of the Wulingyuan Scenic Area, China. Ecosystem Services, 43, 101100. DOI: 10.1016/j.ecoser.2020.101100. DOI: 10.1016/j.ecoser.2020.101100
  14. Choi, H. C., & Sirakaya, E. (2006). Sustainability indicators for managing community tourism. Tourism Management, 27(6), 1274–1289.
  15. Chiu, W., & Leng, H. K. (2017). Let’s go cycling: an analysis of tourists’ experience on online user-generated content. International Journal of Tourism Cities. 3(1), 30-42. DOI: 10.1108/ijtc-10-2016-0045
  16. Credit, K. N. (2018). Economic Development for the 21 St Century: How Proximity to Transit and Walkability Influence Business Creation and Performance. Michigan State University.
  17. Cuong, V. M. (2020). Alienation of ethnic minorities in community-based tourism. Current Issues in Tourism, 23(21), 2649-2665. DOI: 10.1080/13683500.2020.1733942
  18. Dewi, S. P., Ristianti, N. S., & Kurniati, R. (2020, January). The Economic Sustainability Model of Community Based Tourism in Batik Kampong Semarang. In IOP Conference Series: Earth and Environmental Science, 409(1), IOP Publishing. DOI: 10.1088/1755-1315/409/1/012023
  19. Diedrich, A., & García-Buades, E. (2009). Local perceptions of tourism as indicators of destination decline. Tourism Management, 30(4), 512–521.
  20. Duncan, D.T., Aldstadt, J., Whalen, J., & Melly, S.J. (2013). Validation of Walk Scores and Transit Scores for estimating neighborhood walkability and transit availability: a small-area analysis. GeoJournal, 78(2), 407-416.
  21. Endalew, M., Shiferaw, W., & Kindie, A. (2019). Development of Web Mapping Application for Spatial Ecotourism Information Using QGIS Plugin and Freely Available Web Platforms in NorthWest Highlands of Ethiopia a Case Study: Chokie Mountain Watersheds. Advances in Internet of Things, 9(3), 50-61. DOI: 10.4236/ait.2019.93004
  22. Ernawadi, Y., & Putra, H. T. (2021). Authenticity and Walkability of Iconic Heritage Destination in Bandung Indonesia. International Journal of Science, Technology and Management, 2(4), 1082-1094. DOI: 10.46729/ijstm.v2i4.243
  23. Eslami, S., Khalifah, Z., Mardani, A., Streimikiene, D., & Han, H. (2019). Community attachment, tourism impacts, quality-of-life and residents’ support for sustainable tourism development. Journal of Travel and Tourism Marketing, 36(9), 1061-1079. DOI: 10.1080/10548408.2019.1689224
  24. Fleming, T., Turner, S., & Tarjomi, L. (2013). Reallocation of road space (No. 530). Retrieved on 19 April 2020 from https://trid.trb.org/view/1262392. DOI: 10.13140/rg.2.2.28010.26566
  25. Forsyth, A. (2015). What is a walkable place? The walkability debate in urban design. Urban Design International, 20(4), 274–292. DOI: 10.1057/udi.2015.22
  26. Gan, J. E. (2020). Uncovering the Environmental and Social Conflicts Behind Residents’ Perception of CBT: A Case of Perak, Malaysia. Tourism Planning and Development, 17(6), 674-692. DOI: 10.1080/21568316.2020.1749121
  27. Gannon, M., Rasoolimanesh, S. M., & Taheri, B. (2020). Assessing the mediating role of residents’ perceptions toward tourism development. Journal of Travel Research, 60(1), 149-171. DOI: 10.1177/0047287519890926
  28. Giampiccoli, A., Muhsin, B. A., & Mtapuri, O. (2020). Community-based tourism in the case of the Maldives. Geo Journal of Tourism and Geosites, 29(2), 428-439. DOI: 10.30892/gtg.29204-479
  29. Gilderbloom, J. I., Riggs, W. W., & Meares, W. L. (2015). Does walkability matter? An examination of walkability’s impact on housing values, foreclosures and crime. Cities, 42, 13-24.
  30. Gong, J., Detchkhajornjaroensri, & Knight, D. W. (2019). Responsible tourism in Bangkok, Thailand: Resident perceptions of Chinese tourist behaviour. International Journal of Tourism Research, 21(2), 221-233.
  31. Hair, J. F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010), Multivariate Data Analysis: A Global Perspective. (7th ed.), Pearson, New Jersey.
  32. Hall, C. M., Ram, Y., & Shoval, N. (Eds.). (2017). The Routledge international handbook of walking. London, UK: Routledge.
  33. Hall, C. M., & Ram, Y. (2019). Measuring the relationship between tourism and walkability? Walk Score and English tourist attractions. Journal of Sustainable Tourism, 27(2), 223-240.
  34. Hoedl, S., Titze, S., & Oja, P. (2010). The bikeability and walkability evaluation table: Reliability and application. American Journal of Preventive Medicine, 39, 457–459. DOI: 10.4016/24392.01
  35. Hunt, C., & Stronza, A. (2014). Stage-based tourism models and resident attitudes towards tourism in an emerging destination in the developing world. Journal of Sustainable Tourism, 22(2), 279-298.
  36. Jailani, M. A. K., & Rahim, F. A. (2014). Assessing the situational analysis of heritage tourism industry in Melaka. Procedia-Social and Behavioral Sciences, 130, 28-36. DOI: 10.1016/j.sbspro.2014.04.004
  37. Kim, K., Uysal, M., & Sirgy, M. J. (2013). How does tourism in a community impact the quality-of-life of community residents?. Tourism management, 36, 527-540.
  38. Kubickova, M., & Martin, D. (2020). Exploring the relationship between government and destination competitiveness: The TALC model perspective. Tourism Management, 78, 104040. DOI: 10.1016/j.tourman.2019.104040. DOI: 10.1016/j.tourman.2019.104040
  39. Kuzmyak, J. R. (2012). Land use and traffic congestion. Report 618, Arizona Department of Transportation. Retrieved on 11 May 2020 from www.azdot.gov/docs/default-source/planning/az618.pdf?sfvrsn=2.
  40. Lee, T. H. (2013). Influence analysis of community resident support for sustainable tourism development. Tourism Management, 34, 37–46.
  41. Lee, T. H., & Hsieh, H. P. (2016). Indicators of sustainable tourism: A case study from a Taiwan DOI: 10.1016/j.ecolind.2016.03.023
  42. Lin, Z., Chen, Y., & Filieri, R. (2017). Resident-tourist value co-creation: The role of residents DOI: 10.1016/j.tourman.2017.02.013
  43. Litman, T. (2017). Economic value of walking. In Walking. Bingley, UK: Emerald Publishing Limited, 81-98. DOI: 10.1108/s2044-994120170000009005
  44. Liu, X. R., & Li, J. J. (2018). Host perceptions of tourism impact and stage of destination development in a developing country. Sustainability, 10(7), 2300. DOI: 10.3390/su10072300. DOI: 10.3390/su10072300
  45. Lundberg, E. (2015). The level of tourism development and resident attitudes: A comparative case study of coastal destinations. Scandinavian Journal of Hospitality and Tourism, 15(3), 266–294. DOI: 10.1080/15022250.2015.1005335
  46. Manaugh, K., & El-Geneidy, A. (2012). What makes travel local: Defining and understanding local travel behavior. Journal of Transport and Land Use, 5, 15–27.
  47. Mansfield, T. J., & MacDonald Gibson, J. (2015). Health impacts of increased physical activity from changes in transportation infrastructure: quantitative estimates for three communities. BioMed research international. Retrieved on 19 April 2020 from https://www.hindawi.com/journals/bmri/2015/812325/. DOI: 10.1155/2015/812325
  48. Mansouri, M., & Ujang, N. (2016). Tourist’ expectation and satisfaction towards pedestrian networks in the historical district of Kuala Lumpur, Malaysia. Asian Geographer, 33(1), 35-55. DOI: 10.1080/10225706.2016.1185639
  49. Manzolli, J. A., Oliveira, A., & Neto, M. D. C. (2021). Evaluating Walkability through a Multi-Criteria Decision Analysis Approach: A Lisbon Case Study. Sustainability, 13(3), 1450. DOI: 10.3390/su13031450. DOI: 10.3390/su13031450
  50. Mavoa, S., Witten, K., McCreanor, T., & O’Sullivan, D. (2012). GIS based destination accessibility via public transit and walking in Auckland, New Zealand. Journal of Transport Geography, 20(1), 15-22.
  51. Mustafa, H., Omar, B. and Mukhiar, S. N. S. (2020). Measuring destination competitiveness: an importance-performance analysis (IPA) of six top island destinations in South East Asia. Asia Pacific Journal of Tourism Research, 25(3), 223-243.
  52. Nilsson, J. H. (2019). Urban bicycle tourism: path dependencies and innovation in Greater Copenhagen. Journal of Sustainable Tourism, 27(11), 1648-1662. DOI: 10.1080/09669582.2019.1650749
  53. Ohe, Y. (2020). Roles of Networking NPOs Connecting Local Stakeholders in Rural Tourism. In Community-based Rural Tourism and Entrepreneurship (pp. 255-265). Springer, Singapore.
  54. Pearce, J., Witten, K., & Bartie, P. (2006). Neighborhoods and health: A GIS approach to measuring community resource accessibility. Journal of Epidemiology and Community Health, 60, 389-95.
  55. Peters, M., Chan, C. S., & Legerer, A. (2018). Local perception of impact-attitudes-actions towards tourism development in the Urlaubsregion Murtal in Austria. Sustainability, 10(7), 2360. 10(7). DOI: 10.3390/su10072360. DOI: 10.3390/su10072360
  56. Rubio-Cisneros, N. T., Moreno-Báez, M., Glover, J., Rissolo, D., Sáenz-Arroyo, A., Götz, C., ... & Herrera-Silveira, J. (2019). Poor fisheries data, many fishers, and increasing tourism development: Interdisciplinary views on past and current small-scale fisheries exploitation on Holbox Island. Marine Policy, 100, 8-20.
  57. Rundle, A. G., Chen, Y., Quinn, J. W., Rahai, N., Bartley, K., Mooney, S. J., & Neckerman, K. M. (2019). Development of a neighborhood walkability index for studying neighborhood physical activity contexts in communities across the US over the past three decades. Journal of urban health, 96(4), 583-590. DOI: 10.1007/s11524-019-00370-4
  58. Sinclair-Maragh, G. (2017). Demographic analysis of residents
  59. Shakeela, A., & Weaver, D. (2018). Participatory planning and tourism development in the Maldives: a prerequisite of sustainability?. In Managing Sian Destinations, pp. 73-85. Springer, Singapore DOI: 10.1007/978-981-10-8426-3_5
  60. Sharmin, S., & Khan, N. (2019). Community Based Cultural Tourism: An Attitude towards Sustainable Conservation Model for Heritage Site. Proceedings of International Conference on Planning, Architecture and Civil Engineering. Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh, 7 - 9 February. Retrieved on 30 April 202 from https://www.academia.edu/38754605.
  61. Sirgy, J. M. (2019). Promoting quality-of-life and well-being research in hospitality and tourism. Journal of Travel and Tourism Marketing, 36(1), 1-13. DOI: 10.1080/10548408.2018.1526757
  62. Sirgy, M. J., & Lee, D. J. (2006). Macro measures of consumer well-being (CWB): A critical analysis and a research agenda. Journal of Macromarketing, 26(1), 27–44. DOI: 10.1177/0276146705285669
  63. Stone, M. T., & Stone, L. S. (2020). Challenges of community-based tourism in Botswana: a review of literature. Transactions of the Royal Society of South Africa, 75(2), 181-193. DOI: 10.1080/0035919x.2020.1715510
  64. Su, M. M., Sun, Y., Wall, G., & Min, Q. (2020). Agricultural heritage conservation, tourism and community livelihood in the process of urbanization–Xuanhua Grape Garden, Hebei Province, China. Asia Pacific Journal of Tourism Research, 25(3), 205-222.
  65. Timothy, D. J., & Boyd, S.W. (2015). Tourism and trails: Cultural, ecological and management issues. Bristol: Channel View. DOI: 10.5860/choice.189758
  66. Trowbridge, M. J., Pickell, S. G., Pyke, C. R., & Jutte, D. P. (2014). Building healthy communities: Establishing health and wellness metrics for use within the real estate industry. Health Affairs, 33(11), 1923–1929. DOI: 10.1377/hlthaff.2014.0654
  67. Ujang, N., & Muslim, Z. (2014). Walkability and attachment to tourism places in the city of Kuala Lumpur, Malaysia. Athens journal of Tourism, 2(1), 53-65.
  68. United Nations. (n.d.). Gross National Index. Retrieved on 11 May 2020 from https://sustainabledevelopment.un.org/index.php?page=viewandtype=99andnr=266andmenu=1449.
  69. Wang, L., & Wen, C. (2017). The relationship between the neighborhood built environment and active transportation among adults: A systematic literature review. Urban Science, 1(3). DOI: 10.3390/urbansci1030029. DOI: 10.3390/urbansci1030029
  70. Wang, K., Xu, H., & Huang, L. (2020). Wellness tourism and spatial stigma: A case study of Bama, China. Tourism Management, 78, 104039. DOI: 10.1016/j.tourman.2019.104039. DOI: 10.1016/j.tourman.2019.104039
  71. Woo, E., Kim, H., & Uysal, M. (2015). Life satisfaction and support for tourism development. Annals of Tourism Research, 50, 84–97.
  72. Yu, C. P. S., Chancellor, H. C., & Cole, S. T. (2011). Measuring residents’ attitudes toward sustainable tourism: A reexamination of the sustainable tourism attitude scale. Journal of Travel Research, 50(1), 57-63.
  73. Yun, H. J., & Zhang, X. (2017). Cultural conservation and tourism development in the consolidation stage of the tourism area life cycle model. Tourism Planning and Development, 14(3), 353-368.