4.7 Article

Examining non-linear associations between built environments around workplace and adults' walking behaviour in Shanghai, China

Journal

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
Volume 155, Issue -, Pages 234-246

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tra.2021.11.017

Keywords

Walking behaviors; Workplace; Built environment; Non-linear associations; Machine learning

Funding

  1. National Natural Science of China [51778552, 42001123]
  2. Strategic Priority Research Program (A) of Chinese Academy of Sciences [XDA19040402]
  3. Fundamental Research Funds for the Central Universities
  4. Academy of Humanities & Social Science in ECNU

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This study found that the built environment around workplaces is crucial for promoting walking behaviors and overall physical activity levels in the working population. Different built environment features have distinct associations with different domains of walking behaviors.
Considering that most working adults spend nearly half their waking time at work, creating a supportive built environment around workplaces could be a feasible approach to maintain adequate levels of physical activity. However, the extent to which the built environment around workplaces influences walking behaviors in working adults remains unclear. Using survey data of 1009 full-time employees in Shanghai, China, this study assessed the nonlinear relationships between the built environment characteristics around workplaces and three domains of walking behaviors (commuting, utilitarian, and recreational walking). Using gradient boosting decision trees, our results showed that the built environment around workplaces is crucial for higher levels of walking behaviors, but built environment features tended to have distinctive associations with different domains of walking behaviors. Specifically, the number of physical activity facilities was positively associated with all three domains of walking behaviors, while a high floor area ratio was negatively associated with different domains of walking behaviors to some extent. Furthermore, several built environment characteristics, such as land use entropy, street view greenery, distance from home to the city center, and distance between the city center and workplaces had distinctive associations with different domains of walking behaviors. The findings of this study could provide nuanced guidance for creating pedestrian-friendly environments around workplaces to promote walking behaviors and overall physical activity levels in the working population.

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