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The Influence of Built Environment on Walking Behavior: Measurement Issues, Theoretical Considerations, Modeling Methodologies and Chinese Empirical Studies

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Space-Time Integration in Geography and GIScience

Abstract

The influence of built environment on walking behavior has been widely studied in Western cities since the 1990s. This study reviews and analyzes Western experiences and results, including related measurement issues and the theoretical basis of the influence. A conceptual model is proposed, combining a discrete choice model and the theory of planned behavior, and integrating objective and subjective variables to explore the built environment’s influence on walking behavior. The progress of such studies in China is summarized in detail, and the application of walking behavior experiences and policies to Chinese cities is also discussed.

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Acknowledgement

This research is sponsored by Direct Grant from CUHK (CUHK 2021094) and partially supported by National Natural Science Foundation of China (Grant NO. 41171146 and 41101370).

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Authors and Affiliations

  1. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, Hong Kong

    Hui Lin, Guibo Sun & Rongrong Li

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  1. Hui Lin
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  2. Guibo Sun
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  3. Rongrong Li
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Correspondence to Hui Lin .

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Editors and Affiliations

  1. Department of Geography and Geographic Information Science, University of Illinois, Urbana-Champaign, Illinois, USA

    Mei-Po Kwan

  2. Association of American Geographers, Washington, District of Columbia, USA

    Douglas Richardson

  3. Department of Geography, Hong Kong Baptist University, Hong Kong, China

    Donggen Wang

  4. Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, China

    Chenghu Zhou

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Lin, H., Sun, G., Li, R. (2015). The Influence of Built Environment on Walking Behavior: Measurement Issues, Theoretical Considerations, Modeling Methodologies and Chinese Empirical Studies. In: Kwan, MP., Richardson, D., Wang, D., Zhou, C. (eds) Space-Time Integration in Geography and GIScience. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9205-9_5

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