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Spatially-varying effects of built environment determinants on walking

Author

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  • Kim, Suji
  • Park, Sungjin
  • Jang, Kitae

Abstract

•This study explores the spatially-varying relationship between walking and built environment.•Geographically Weighted Regression is utilized for a spatially-sensitive analysis.•This approach enhanced the understanding about the influential pattern of variables at various geographic scales.•The coefficients spatially vary depending on the site-specific characteristics.

Suggested Citation

  • Kim, Suji & Park, Sungjin & Jang, Kitae, 2019. "Spatially-varying effects of built environment determinants on walking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 188-199.
    • Handle: RePEc:eee:transa:v:123:y:2019:i:c:p:188-199
    DOI: 10.1016/j.tra.2019.02.003
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    Citations

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    Cited by:

    1. Singleton, Patrick A. & Park, Keunhyun & Lee, Doo Hong, 2021. "Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event data," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Regine Gerike & Caroline Koszowski & Bettina Schröter & Ralph Buehler & Paul Schepers & Johannes Weber & Rico Wittwer & Peter Jones, 2021. "Built Environment Determinants of Pedestrian Activities and Their Consideration in Urban Street Design," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    3. Yang, Xiong & Zhuge, Chengxiang & Shao, Chunfu & Huang, Yuantan & Hayse Chiwing G. Tang, Justin & Sun, Mingdong & Wang, Pinxi & Wang, Shiqi, 2022. "Characterizing mobility patterns of private electric vehicle users with trajectory data," Applied Energy, Elsevier, vol. 321(C).
    4. Suji Kim, 2020. "Urban Vitality, Urban Form, and Land Use: Their Relations within a Geographical Boundary for Walkers," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    5. Ma, Xiaobo & Karimpour, Abolfazl & Wu, Yao-Jan, 2020. "Statistical evaluation of data requirement for ramp metering performance assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 248-261.
    6. Marques, Samuel de França & Pitombo, Cira Souza, 2023. "Local modeling as a solution to the lack of stop-level ridership data," Journal of Transport Geography, Elsevier, vol. 112(C).
    7. Avital Angel & Achituv Cohen & Sagi Dalyot & Pnina Plaut, 2023. "Impact of COVID-19 policies on pedestrian traffic and walking patterns," Environment and Planning B, , vol. 50(5), pages 1178-1193, June.
    8. Ding, Chuan & Cao, Xinyu & Yu, Bin & Ju, Yang, 2021. "Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 22-35.
    9. Cheng, Long & Shi, Kunbo & De Vos, Jonas & Cao, Mengqiu & Witlox, Frank, 2021. "Examining the spatially heterogeneous effects of the built environment on walking among older adults," Transport Policy, Elsevier, vol. 100(C), pages 21-30.

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