Analysis of layout strategies for public transport hubs in polycentric urban regions considering functional classification
Date
2025
Authors
Zhou, Y.
Li, L.
Zhang, Y.
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International Journal of Transportation Science and Technology, online, 2025; online:1-16
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Abstract
The polycentric urban regions (PURs) necessitate an integrated public transport system encompassing intra and inter-city transport. Compared to traditional monocentric cities, the hubs and lines of networks within this extensive service area require functional classification to accommodate the heterogeneous features of PURs. Unfortunately, the existing studies on hub location have overlooked this crucial concept. To address this issue, we introduce a parameterized description of PURs’ travel demands with a ternary functional classification of hub nodes, and this serves as the basic framework for bi-level programming. The upper-level model aims to determine the number of hubs of each functional classification and their location. The lower-level model is a stochastic user equilibrium model with elastic demand. We apply this analysis framework to the Suzhou-Wuxi region and find that 1) an increased number of hubs may not necessarily enhance the efficiency of a regional public transport network from the perspective of passenger behaviours; 2) a decentralised layout of public transport hubs outperforms a centralised one; 3) the sub-centre or peripheral areas are more appropriate as regional hub nodes than the CBD nodes. All these findings could be valuable for the future PUR development. These conclusions have important reference value for decision-makers of PUR development, and also verify the effectiveness and applicability of the decision analysis framework of PURs public transport hubs proposed in this study.
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Copyright 2025 Tongji University and Tongji University Press. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Access Condition Notes: This is an open access article under the CC BY-NC-ND license.