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作者

Long Chen;Yi Lu;Yu Ye;Yang Xiao;Linchuan Yang

来源

CITIES,Vol.127,Issue1,Article 103734

语言

英文

关键字

Pedestrian volume;Population-level walking behaviors;Built environment;Streetscape features;Street view images;Machine learning

作者单位

Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR;City University of Hong Kong Shenzhen Research Institute, Shenzhen, China;Department of Architecture, Tongji University, Shanghai, China;Department of Urban Planning, Tongji University, Shanghai, China;Department of Urban and Rural Planning, Southwest Jiaotong University, Chengdu, China;Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR;City University of Hong Kong Shenzhen Research Institute, Shenzhen, China;Department of Architecture, Tongji University, Shanghai, China;Department of Urban Planning, Tongji University, Shanghai, China;Department of Urban and Rural Planning, Southwest Jiaotong University, Chengdu, China

摘要

Many studies have confirmed that the characteristics of the built environment affect individual walking behaviors. However, scant attention has been paid to population-level walking behaviors, such as pedestrian volume, because of the difficulty of collecting such data. We propose a new approach to extract citywide pedestrian volume using readily available street view images and machine learning technique. This innovative method has superior efficiency and geographic reach. In addition, we explore the associations between the extracted pedestrian volume and both macro- and micro-scale built environment characteristics. The results show that micro-scale characteristics, such as the street-level greenery, open sky, and sidewalk, are positively associated with pedestrian volume. Macro-scale characteristics, operationalized using the 5Ds framework including density, diversity, design, destination accessibility, and distance to transit, are also associated with pedestrian volume. Hence, to stimulate population-level walking behaviors, policymakers and urban planners should focus on the built environment intervetions at both the micro and macroscale.