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Walkability Perception in Asian Cities: A Comparative Study in Bangkok and Nagoya

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  • Varameth Vichiensan

    (Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
    Center for Logistics Engineering Technology and Management, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand)

  • Kazuki Nakamura

    (Department of Civil Engineering, Meijo University, Nagoya 468-8502, Japan)

Abstract

Asian cities are unique, where people may need more than just walking; however, the walkability research in a local context has received less attention. This paper analyses the walking needs and the influential factors of walking behavior in Asian cities. A comparative analysis in Bangkok and Nagoya is presented, taking into account the characteristics of local street design and development. Street evaluation experiments of various streets are conducted through 360-degree videos. The factor analyses indicate that the walking needs in both cities can be considered in two levels, but the components of the needs are different. Being smooth and having no obstacles are common basic needs. Safety and security are regarded as basic needs in Nagoya, but as higher-level needs in Bangkok. Attractiveness of activity and walk pleasure are the common upper-level needs. Street elements such as width, green, traffic, parking, pollution exposure, and activity are found to be influential on the walking needs. The structural equation models indicate that higher-level needs have more of an influence than the lower-level needs for walking behavior in Bangkok and for shop walking in Nagoya, while the basic need has more influence on walking willingness for transit access. These findings call for practical attention for street design and development where local context and street functions must be carefully considered.

Suggested Citation

  • Varameth Vichiensan & Kazuki Nakamura, 2021. "Walkability Perception in Asian Cities: A Comparative Study in Bangkok and Nagoya," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6825-:d:576269
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    References listed on IDEAS

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    1. Letizia Appolloni & Alberto Giretti & Maria Vittoria Corazza & Daniela D’Alessandro, 2020. "Walkable Urban Environments: An Ergonomic Approach of Evaluation," Sustainability, MDPI, vol. 12(20), pages 1-31, October.
    2. Letizia Appolloni & Maria Vittoria Corazza & Daniela D’Alessandro, 2019. "The Pleasure of Walking: An Innovative Methodology to Assess Appropriate Walkable Performance in Urban Areas to Support Transport Planning," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    3. Fernando Alves & Sara Cruz & Anabela Ribeiro & Ana Bastos Silva & João Martins & Inês Cunha, 2020. "Walkability Index for Elderly Health: A Proposal," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    4. Matthew A. Coogan & Thomas Adler & Karla Karash, 2012. "The paths from walk preference to walk behavior: Applying latent factors in structural equation modeling," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 68-82.
    5. Eun Jung Kim & Hyunjung Kim, 2020. "Neighborhood Walkability and Housing Prices: A Correlation Study," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    6. Rawiwan Oranratmanee & Veera Sachakul, 2014. "Streets as Public Spaces in Southeast Asia: Case Studies of Thai Pedestrian Streets," Journal of Urban Design, Taylor & Francis Journals, vol. 19(2), pages 211-229, March.
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    Cited by:

    1. Kitsaphon Thitisiriwech & Teerapong Panboonyuen & Pittipol Kantavat & Boonserm Kijsirikul & Yuji Iwahori & Shinji Fukui & Yoshitsugu Hayashi, 2023. "Quality of Life Prediction in Driving Scenes on Thailand Roads Using Information Extraction from Deep Convolutional Neural Networks," Sustainability, MDPI, vol. 15(3), pages 1-19, February.
    2. Varameth Vichiensan & Yoshitsugu Hayashi & Sudarat Kamnerdsap, 2021. "COVID-19 Countermeasures and Passengers’ Confidence of Urban Rail Travel in Bangkok," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    3. Varameth Vichiensan & Vasinee Wasuntarasook & Sathita Malaitham & Atsushi Fukuda & Wiroj Rujopakarn, 2025. "Willingness to Pay for Station Access Transport: A Mixed Logit Model with Heterogeneous Travel Time Valuation," Sustainability, MDPI, vol. 17(15), pages 1-21, July.
    4. Eun Jung Kim & Suin Jin, 2023. "Walk Score and Neighborhood Walkability: A Case Study of Daegu, South Korea," IJERPH, MDPI, vol. 20(5), pages 1-12, February.
    5. Anna Visvizi & Shahira Assem Abdel-Razek & Roman Wosiek & Radosław Malik, 2021. "Conceptualizing Walking and Walkability in the Smart City through a Model Composite w 2 Smart City Utility Index," Energies, MDPI, vol. 14(23), pages 1-20, December.

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