AI-Based Evaluation of Streets for People in Bangkok: Perspectives from Walkability and Lingerability
Yuka Bando,
Kento Yoh (),
Kanyou Sou,
Chun-Chen Chou and
Kenji Doi
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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
Sustainability, 2023, vol. 15, issue 24, 1-16
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.
Keywords: spatial performance; walkability; lingerability; AI evaluation; pedestrian; Bangkok; soi (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:24:p:16884-:d:1300988
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