Exploring the role of passengers’ attitude in the integration of dockless bike-sharing and public transit: A hybrid choice modeling approach

Abstract

The emergence of dockless bike-sharing (DBS) has made it more convenient for residents to travel within the city. The integration of public transit and DBS provides an effective method to sustainable transportation development. While some studies have accounted for heterogeneity of travel behavior, very few have considered how attitudes and preferences towards DBS affect combined travel mode choice. This study aims to reveal the effect of residents’ attitude towards bike-sharing on combined travel mode choice using stated-preference data collected in Beijing, China. An integrated model of choice model and latent variables based on nested logit model (ICLV-NL) is used to incorporate two latent variables of social benefit and satisfaction with bike-sharing into the discrete choice model and thereby captures relationships between attitudinal factors and observed variables. The results indicate that compared with multinomial logit and nested logit models, the ICLV-NL model yields a better fit and explanatory power. The ICLV-NL model results show that positive impressions on bike-sharing make residents more likely to choose the integration of public transit and DBS, and the pick-up distance of DBS significantly affects the use of DBS as a feeder mode to public transit. Surprisingly, the status of DBS does not have a significant impact on travel mode choice. This paper provides more insights into the choice of the integration of DBS and public transit, which is helpful to the development of green and sustainable transportation.