Recommendations for Passenger Flow Demand-oriented City Railway Transportation Organization Optimization under Four-network Integration
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 4
Abstract
Objective The construction of regional integration places higher demands on the integrated development of multi-level rail transit networks in the region. Following the trend of four-network integration, it is crucial to fully consider passenger flow demand and optimize city railway transportation organization oriented by passenger flow demand. Method Starting from the context of four-network integration and the functional positioning of city railway within these networks particularly in Yangtze River Delta region, the connotation of rail transit interoperation is clarified. The current transportation organization challenges faced by city railway are elaborated from three aspects: the total passenger transport capacity demand, the market share of city railway, and the matching of transportation capacity supply and passenger transport demand. Oriented by passenger flow demand, recommendations for optimizing city railway transportation organization are proposed from the three strategic, tactical, and operational levels. Result & Conclusion The three main constraining factors on current city railway transportation organization are identified as the disparity between route planning/construction and passenger transport demand, unclear competitive advantages of city railway compared to other transportation modes, and the lack of train timetable adjustment mechanism and method oriented by passenger flow. From strategic level perspective, strengthening top-level design is proposed to form an integrated transportation organization system. From the tactical level perspective, transforming competition into collaboration and leveraging the network effects of multimodal rail transit are suggested. From the operational level perspective, prioritizing people and implementing diverse train operation organization modes is recommended.
Authors and Affiliations
Cheng BAI, Yuxing LIU, Weihan ZHANG, Wei ZHU, Jing TENG
Keywords
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- EP ID EP734147
- DOI 10.16037/j.1007-869x.2024.04.001
- Views 33
- Downloads 0
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