Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China
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DOI: 10.1016/j.tra.2021.11.017
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- Yin, Chun & Cao, Jason & Sun, Bindong & Liu, Jiahang, 2023. "Exploring built environment correlates of walking for different purposes: Evidence for substitution," Journal of Transport Geography, Elsevier, vol. 106(C).
- Tao, Sui & Cheng, Long & He, Sylvia & Witlox, Frank, 2023. "Examining the non-linear effects of transit accessibility on daily trip duration: A focus on the low-income population," Journal of Transport Geography, Elsevier, vol. 109(C).
- Wang, Kailai & Chen, Zhenhua & Cheng, Long & Zhu, Pengyu & Shi, Jian & Bian, Zheyong, 2023. "Integrating spatial statistics and machine learning to identify relationships between e-commerce and distribution facilities in Texas, US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
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- Wali, Behram & Frank, Lawrence D. & Saelens, Brian E. & Young, Deborah R. & Meenan, Richard T. & Dickerson, John F. & Keast, Erin M. & Fortmann, Stephen P., 2024. "Associations of walkability, regional and transit accessibility around home and workplace with active and sedentary travel," Journal of Transport Geography, Elsevier, vol. 116(C).
- Lin Zhang & Suhong Zhou & Lanlan Qi & Yue Deng, 2022. "Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
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Keywords
Walking behaviors; Workplace; Built environment; Non-linear associations; Machine learning;All these keywords.
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