This study investigates trip-level destination choice behavior of users of the dockless bike sharing service (DBS). A random parameter latent segmentation-based logit (RPLSL) model is developed utilizing the DBS users’ trip itinerary data for Kelowna, Canada. The RPLSL model captures multi-dimensional heterogeneity such as inter-segment and intra-segment heterogeneity. The model is developed at a micro-spatial resolution which is defined as the bicycle analysis zone. One of the key features of this study is to test the interdependencies between the origin and destination of a trip using their built environment attributes. Model results suggest that segment 1 is more likely to include trips originating from the urban neighborhoods; whereas, segment 2 includes trips originating from the suburban neighborhoods. The parameter estimation results reveal that DBS trips are more likely to be destined to locations with longer length of cycle tracks, higher employment density, and that are closer to the Central Business District and bus stops (i.e., within 500 m). The model confirms multi-layer heterogeneity. For instance, trips originating from the urban areas in segment 1 are more likely to be destined to destinations within 500 m of the designated bike return sites (i.e., havens). In contrast, shorter trips originating in suburban areas in segment 2 show a negative relationship. Interestingly, a bike-friendly environment might increase the attractiveness of destinations closer to havens, even for the trips originating in suburban areas. The findings of this study will assist in developing policies and infrastructure investment decision making at the destination locations to promote DBS usage.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modeling Destination Choice Behavior of the Dockless Bike Sharing Service Users


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board




    Publication date :

    2020-09-09




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Destination Prediction Based on Virtual POI Docks in Dockless Bike-Sharing System

    Jiang, Mingda / Li, Chao / Li, Kehan et al. | IEEE | 2022


    Dockless Bike-Sharing Rebalancing Problem with Simultaneous Faulty Bike Recycling

    Usama, Muhammad / Zahoor, Onaira / Bao, Qiong et al. | ASCE | 2019


    How does Bike Absence Influence Mode Shifts Among Dockless Bike-Sharing Users? Evidence From Nanjing, China

    Cui, Hongjun / Ren, Zhixiao / Ma, Xinwei et al. | Transportation Research Record | 2025


    Dockless bike-sharing systems: what are the implications?

    Chen, Zheyan / van Lierop, Dea / Ettema, Dick | Taylor & Francis Verlag | 2020

    Free access

    Comparing the Travel Behavior of Older Users Between Station-Based and Dockless Bike Sharing Systems

    Hua, Mingzhuang / Chen, Xuewu / Cheng, Long et al. | Transportation Research Record | 2023