Associations between streetscape characteristics at Chinese adolescents’ activity places and active travel patterns on weekdays and weekends-Reference-Cited by-同舟云学术

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Associations between streetscape characteristics at Chinese adolescents’ activity places and active travel patterns on weekdays and weekends

Published:2023-07 Issue: Volume:31 Page:101653
ISSN:2214-1405
Container-title:Journal of Transport & Health
language:en
Short-container-title:Journal of Transport & Health

Author:

Wang Xiaoge,Liu Ye,Yao Yao,Zhou Suhong,Zhu Qia,Liu Mingyang,Luo Weijing,Helbich Marco

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Health Policy,Safety Research,Pollution,Transportation,Safety, Risk, Reliability and Quality

Reference94 articles.

1. Associations between environmental characteristics and active commuting to school among children: a cross-sectional study;Aarts;Int. J. Behav. Med.,2013

2. Impacts of an active travel intervention with a cycling focus in a suburban context: one-year findings from an evaluation of London’s in-progress mini-Hollands programme;Aldred;Transport. Res. Pol. Pract.,2019

3. Objective and perceived traffic safety for children: a systematic literature review of traffic and built environment characteristics related to safe travel;Amiour;Int. J. Environ. Res. Publ. Health,2022

4. How street greenery facilitates active travel for university students;Bai;J. Transport Health,2022

5. Daily (im)mobility behaviours in France: an application of hurdle models;Bayart;Transport. Res. Pol. Pract.,2018

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Impacts of Visible Green Spaces on the Mental well-being of University Students;Applied Spatial Analysis and Policy;2024-04-13

2. Examining the non-linear association between the built environment around residence and the risk of obesity among children and adolescents at different school stages in Guangzhou and Shenzhen, China;Cities;2024-02

3. Examining active travel behavior through explainable machine learning: Insights from Beijing, China;Transportation Research Part D: Transport and Environment;2024-02

4. Quantifying the Impact of Street Greening during Full-Leaf Seasons on Emotional Perception: Guidelines for Resident Well-Being;Forests;2024-01-07

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