Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.trd.2022.103316
Title: The roads one must walk down: Commute and depression for Beijing’s residents
Authors: Wang, Xize 
Liu, Tao
Keywords: Well-being
Health
Planning
Sustainable mobility
China
Travel behavior
Issue Date: Aug-2022
Publisher: Elsevier BV
Citation: Wang, Xize, Liu, Tao (2022-08). The roads one must walk down: Commute and depression for Beijing’s residents. Transportation Research Part D: Transport and Environment 109 : 103316-103316. ScholarBank@NUS Repository. https://doi.org/10.1016/j.trd.2022.103316
Abstract: As a vital aspect of individual’s quality of life, mental health has been included as an important component of the U.N. Sustainable Development Goals. This study focuses on a specific aspect of mental health: depression, and examines its relationship with commute patterns. Using survey data from 1,528 residents in Beijing, China, we find that every 10 additional minutes of commute time is associated with 1.1% higher probability of depression. We test for the mechanisms of the commute-depression link and find that commute is associated with depression as a direct stressor rather than triggering higher work stress. When decomposing commute time into mode-specific time, we found that time on mopeds/motorcycles has the strongest association with depression. Moreover, the commute-depression associations are stronger for older workers and bluecollar workers. Hence, policies that could reduce commute time, encourage work from home, improve job-housing balance or increase motorcyclists’ safety would help promote mental health.
Source Title: Transportation Research Part D: Transport and Environment
URI: https://scholarbank.nus.edu.sg/handle/10635/228783
ISSN: 1361-9209
DOI: 10.1016/j.trd.2022.103316
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
2022-06-22-trd-depression-commute.pdfPublished version1.04 MBAdobe PDF

OPEN

PublishedView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.