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AI-Based Evaluation of Streets for People in Bangkok: Perspectives from Walkability and Lingerability

Author

Listed:
  • Yuka Bando

    (Department of Civil Engineering, Division of Global Architecture, Graduate School of Engineering, Osaka University, Osaka 5650871, Japan)

  • Kento Yoh

    (Department of Civil Engineering, Division of Global Architecture, Graduate School of Engineering, Osaka University, Osaka 5650871, Japan)

  • Kanyou Sou

    (Department of Civil Engineering, Division of Global Architecture, Graduate School of Engineering, Osaka University, Osaka 5650871, Japan)

  • Chun-Chen Chou

    (Department of Civil Engineering, Division of Global Architecture, Graduate School of Engineering, Osaka University, Osaka 5650871, Japan)

  • Kenji Doi

    (Department of Civil Engineering, Division of Global Architecture, Graduate School of Engineering, Osaka University, Osaka 5650871, Japan)

Abstract

Bangkok, the capital of Thailand, grapples with several urban challenges, including traffic accidents, congestion, and underdeveloped sidewalks. These issues stem from the escalating use of private cars and motorcycles driven by rapid urbanization, accompanying economic growth, and the unique street geometry of the city. Furthermore, despite the development of railroads, issues persist with the poor walking environment for pedestrian access to stations, posing a challenge to the promotion of safe and environmentally friendly public transportation. This study evaluated streets’ spatial performance, focusing on the performance of soi, the intricate network of narrow urban pathways in Bangkok. Leveraging an AI model capturing pedestrian value, this study subsequently assessed accessibility from typical residential areas to public transportation stations. The findings shed light on the challenges faced by sois in Bangkok. Based on the findings, practical implications were discussed and provided to inform urban designers, with the aim of promoting public transportation usage and encouraging a more sustainable urban form.

Suggested Citation

  • Yuka Bando & Kento Yoh & Kanyou Sou & Chun-Chen Chou & Kenji Doi, 2023. "AI-Based Evaluation of Streets for People in Bangkok: Perspectives from Walkability and Lingerability," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16884-:d:1300988
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    References listed on IDEAS

    as
    1. Guillem Artigues & Sara Mateo & Maria Ramos & Elena Cabeza, 2020. "Validation of the Urban Walkability Perception Questionnaire (UWPQ) in the Balearic Islands," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
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