Development of a Transfer-Cost-Based Logit Assignment Model for the Beijing Rail Transit Network Using Automated Fare Collection Data

This article describes the development of a transfer-cost-based logit assignment model for the Beijing Rail Transit Network (BRTN) using automated fare collection data. The BRTN is an ambitious rail transit network designed to be operations by the end of 2015 with 19 metro or light rail lines. The authors stress that it is essential to estimate passenger flows over the Beijing rail transit network for revenue sharing and daily management/operation purpose. They consider major factors, including total travel time and transfer cost, that may influence passenger flow pattern in the Beijing rail transit network. They propose a full transfer cost function, including transfer walking time, vehicle waiting time, and a penalty to additional transfers, in order to better simulate passengers' transfer behaviors. The authors also present a generalized cost function for urban rail transit network and analyze the corresponding route choice behavior of travelers. The depth-first method is used to search for “effective paths” among all origin-destination (O–D) pairs. The authors report that the average errors of estimated transfer flows from the proposed assignment model are below 20%. Thus, these models are capable of reasonably reproducing passengers' transfer and route choices and will prove helpful for understanding the transfer behaviors of passengers using large rail transit networks.

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