Does the mental health of migrant workers suffer from long commute time? Evidence from China

Chenghan Xiao, Yang Yang, Guangqing Chi

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Introduction: Migrant workers in developing counties have become increasingly vulnerable to mental health issues. Although existing studies have identified multiple factors associated with migrant workers’ mental health, commute time has not been investigated as a possible factor, especially in a development context. This study fills the gap by linking the commute time of migrant workers to their mental health outcomes through a Chinese rural-to-urban migrant workers sample. Method: Respondent-driven sampling (RDS) was applied to recruit 2019 qualified rural-to-urban migrant workers in Chengdu, China, from June 2017 to June 2018. Information was collected on mental health status, average one-way commute time, basic sociodemographics, adaptation to urban life and satisfaction with living conditions, social support conditions, and physical health status. Continuous data spatial scan statistics and linear mixed models were used in this study. Results: Though the average one-way commute time of migrant workers is not very long (simply because of their housing location choice, such as urban villages), the mental health status of these commuters who use active modes (such as walking or biking) is associated with increased commute time. An increased commute time may also influence the relationship between commute mode and mental health among migrant workers. As commute time increases, the differences in mental health status between active and passive commuters could disappear. Conclusions: The mental health of migrant workers in the development context is associated with commute time and commute mode. Policymakers should avoid applying simplistic strategies to urban villages without considering the positive effects of such villages on reducing commute time and the commute mode choices of migrant workers.

Original languageEnglish (US)
Article number100932
JournalJournal of Transport and Health
Volume19
DOIs
StatePublished - Dec 2020

All Science Journal Classification (ASJC) codes

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

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