Exploring non-linear and synergistic effects of green spaces on active travel using crowdsourced data and interpretable machine learning-Reference-Cited by-同舟云学术

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Exploring non-linear and synergistic effects of green spaces on active travel using crowdsourced data and interpretable machine learning

Published:2024-01 Issue: Volume:34 Page:100673
ISSN:2214-367X
Container-title:Travel Behaviour and Society
language:en
Short-container-title:Travel Behaviour and Society

Author:

Yang Linchuan,Yang Haosen,Yu Bingjie,Lu Yi,Cui Jianqiang,Lin Dong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Transportation,Geography, Planning and Development

Reference65 articles.

1. Public participation geographic information system (PPGIS) as a method for active travel data acquisition;Alattar;J. Transp. Geogr.,2021

2. Impact of built environment on physical activity and obesity among children and adolescents in China: A narrative systematic review;An;J. Sport Health Sci.,2019

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

4. Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai;Bi;Transp. Policy,2022

5. How does the individual perception of local conditions affect cycling? An analysis of the impact of built and non-built environment factors on cycling behaviour and attitudes in an urban setting;Blitz;Travel Behav. Soc.,2021

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2. Association between outdoor jogging behavior and PM2.5 exposure: Evidence from massive GPS trajectory data in Beijing;Science of The Total Environment;2024-10

3. How does the perception of informal green spaces in urban villages influence residents’ complaint Sentiments? a Machine learning analysis of Fuzhou City, China;Ecological Indicators;2024-09

4. Multi-group exploration of the built environment and metro ridership: Comparison of commuters, seniors and students;Transport Policy;2024-09

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