What influences intermodal Choices: Metro-Centric, Bus-Centric, Hybrid? insights from Machine learning Approaches
Document Type
Journal Article
Publication Date
2024
Subject Area
place - asia, place - urban, mode - bike, mode - bus, mode - car, mode - subway/metro, planning - surveys, ridership - behaviour, ridership - mode choice
Keywords
Intermodal travel choice, bus, metro, non-transit
Abstract
Three types of intermodals are defined: bus-centric, metro-centric, and hybrid, each representing combinations of bus, metro, and a mix of metro and bus with other travel modes for a trip, respectively. Using the household survey from Nanjing, China, comprising 162,191 trips, we applied the multiple models to reveal the nonlinear effects of socio-demographic and travel-related attributes on intermodal travel choices. Results show that bus-centric intermodal choice accounts for 65.82% of the total among the three types. The optimal model, random forest, indicates the relative importance of travel-related, individual, and household attributes, contributing 46.28%, 31.14%, and 22.59% respectively. Non-public transit travel time demonstrates an inverted V-shaped association with bus-centric intermodal choice, with a peak at around 5 min. Older individuals prefer bus-centric intermodal, while younger lean towards metro-centric and hybrid intermodal. Compared to car ownership and motorcycle ownership, bike ownership and E-bike ownership exhibit relatively high impact on intermodal travel choices.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Ma, X., Tian, X., Cui, H., He, M., Wang, J., & Cheng, L. (2024). What influences intermodal Choices: Metro-Centric, Bus-Centric, Hybrid? insights from Machine learning Approaches. Transportation Research Part D: Transport and Environment, 136, 104407.
Comments
Transportation Research Part D Home Page:
http://www.sciencedirect.com/science/journal/13619209