Exploring factors that affect single-mode and multimodal travel preference for commute trips: a case study in Shanghai, China

Abstract

This study examines the factors influencing multimodal travel behavior and mode choice among two commuter groups: those using a single mode and those using multiple modes. An online survey of 1630 commuters in Shanghai, China, collected data on socio-economic characteristics, commuting patterns, and the built environment. Using probit models, we analyzed the effects of these factors on multimodal travel behavior and mode choice. The results show that while variables like gender, education, and income do not significantly differ between groups, factors such as being part of Generation Z, renting, having fewer than two cars, traveling during off-peak times, and high transit efficiency and public transport density at destinations promote multimodal travel and influence mode choice preferences.

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