Abstract

This study addresses the lack of knowledge regarding the diversity in commuter travel behavior, particularly the effects of different types of ride-hailing services (RHS). It focuses on the distinct impacts of motorcycle-based RHS (MRHS) and car-based RHS (CRHS) on user behaviors. By applying multinomial logit and bivariate probit regression analyses to data from 500 RHS users gathered in March 2023, the study reveals that increases in income and personal vehicle ownership have contrasting effects on MRHS and CRHS usage. Notably, MRHS usage is positively associated with employing RHS as a feeder mode to metro stations, while CRHS usage demonstrates a negative correlation. Furthermore, the study establishes a user preference for MRHS over CRHS during peak traffic times. These insights highlight the importance of creating specific policies for different types of RHS, which is vital for the development of successful urban transportation strategies.

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