Understanding mobility patterns in a university setting: Transport mode preferences and modal shift potential
DOI:
https://doi.org/10.17533/udea.redin.20251189Keywords:
Mobility Patterns, Sustainable Transport, University Community, Modal Shift, logistic regressionAbstract
This study investigates mobility patterns within the University of Cuenca community, focusing on transport mode preferences and the potential for modal shifts toward sustainable transport. Unlike previous studies that primarily examine urban transport in general contexts, this research uniquely explores a university setting in a mid-sized city in a developing country, providing insights into transport choices' demographic and behavioral determinants. An online survey with 1,253 university members reveals distinct differences between students and employees: Students predominantly use active transport modes, while employees rely on private vehicles. Logistic regression analysis highlights key factors influencing mobility preferences, such as age, gender, and income. Notably, the female students tend to prefer private vehicle use, while younger and lower-income students prefer sustainable transport options. The study also examines the willingness to adopt public and active transport modes, identifying targeted interventions, such as improving public transit safety and infrastructure. These findings contribute to understanding sustainable mobility in university communities and provide actionable insights for urban planning and policy development in comparable settings. This research establishes a pre-pandemic baseline for evaluating post-pandemic shifts in commuting behaviors. It offers a framework for advancing sustainable transport strategies in mid-sized cities of developing nations.
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