Modeling the capacity of multimodal and intermodal urban transportation networks that incorporate emerging travel modes
Document Type
Journal Article
Publication Date
2022
Subject Area
place - urban, mode - car, mode - bus, planning - methods, ridership - behaviour
Keywords
urban transport, multimodal mobility, travel behavior
Abstract
Given the increasing prevalence of new urban transport modes such as ridesharing, e-hailing, and combined transport, it is essential to evaluate their effects on the capacity of transportation networks. Hence, this paper develops a novel transportation network capacity model to capture the travel behaviors of inter-multimodal mobility in an urban transportation system that incorporates emerging travel modes. The novel model is formulated as a bi-level programming problem, in which the lower-level model is a combined modal split and traffic assignment (CMSTA) problem based on mathematical programming. The CMSTA problem adopts the cross-nested logit model to account for intermodal travel behavior in the modal split phase and the path-sized logit model to account for route overlap in the traffic assignment phase. Moreover, the logit-based trip distribution model is used to capture the dispatch of the e-hailing traffic flow and the matching of ridesharing drivers with passengers. Besides, we consider flow interactions (e.g., cars and buses sharing the same link) in the road network. We customize a solution framework for solving this novel model that adopts the recently developed fast path-based algorithm with the Barzilai–Borwein stepsize strategy to efficiently solve the CMSTA problem, and derive a sensitivity analysis-based (SAB) algorithm to solve the entire bi-level programming problem. The effectiveness of the novel model is verified in numerical experiments that demonstrate the effects of intermodal transportation, e-hailing, and ridesharing on the capacity of a multimodal transportation network.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Du, M., Zhou, J., Chen, A., & Tan, H. (2022). Modeling the capacity of multimodal and intermodal urban transportation networks that incorporate emerging travel modes. Transportation Research Part E: Logistics and Transportation Review, Vol. 168, 102937.
Comments
Transportation Research Part E Home Page:
http://www.sciencedirect.com/science/journal/13665545