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<p>The present study explores students’ decisions to either relocate or commute to their place of study depending on the availability of student tickets. By leveraging regional variations in the coverage of these subsidized public transport tickets, we explore whether their availability decreases students’ likelihood of moving. We investigate how the importance of subsidized tickets changes with commuting time and how their relevance varies based on students’ financial resources, social backgrounds, and risk attitudes. To do so, we use the MESARAS 2013 (Mobility, Expectations, Self-Assessment, and Risk Attitude of Students) survey, which queries university entrants in the field of economics at seven German universities. We link locational identifiers from the survey with the Google Distance Matrix API to assess commuting times and regional administrative data. Our logistic regression models suggest that the availability of student tickets may decrease the likelihood of moving. The association appears to be less pronounced as commuting time increases and seems to depend on parental academic status as well as students’ budget. Thus, our study offers three contributions: First, we provide policy-relevant evidence on the importance of affordable public transportation. Second, we address (social) inequalities in the moving versus commuting decision. Third, we demonstrate how accurate spatial modeling of commuting times and integration of survey data with external data sources benefits socio-spatial analysis.</p>

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Another one rides the bus—Moving versus commuting decisions during the transition to higher education

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月10日

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  • Dennis Oliver Kubitza,
  • Katarina Weßling

摘要

The present study explores students’ decisions to either relocate or commute to their place of study depending on the availability of student tickets. By leveraging regional variations in the coverage of these subsidized public transport tickets, we explore whether their availability decreases students’ likelihood of moving. We investigate how the importance of subsidized tickets changes with commuting time and how their relevance varies based on students’ financial resources, social backgrounds, and risk attitudes. To do so, we use the MESARAS 2013 (Mobility, Expectations, Self-Assessment, and Risk Attitude of Students) survey, which queries university entrants in the field of economics at seven German universities. We link locational identifiers from the survey with the Google Distance Matrix API to assess commuting times and regional administrative data. Our logistic regression models suggest that the availability of student tickets may decrease the likelihood of moving. The association appears to be less pronounced as commuting time increases and seems to depend on parental academic status as well as students’ budget. Thus, our study offers three contributions: First, we provide policy-relevant evidence on the importance of affordable public transportation. Second, we address (social) inequalities in the moving versus commuting decision. Third, we demonstrate how accurate spatial modeling of commuting times and integration of survey data with external data sources benefits socio-spatial analysis.