Demand exploitation and route optimization design of rail transit feeder based on shared bicycle orders

Zhiguo Zheng; Jushang Ou; Jiandong Qiu; Heng Liu; Yubo Zhao; Junshao Luo

doi:10.1117/12.3054720

20 December 2024 Demand exploitation and route optimization design of rail transit feeder based on shared bicycle orders

Zhiguo Zheng, Jushang Ou, Jiandong Qiu, Heng Liu, Yubo Zhao, Junshao Luo

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134215L (2024) https://doi.org/10.1117/12.3054720
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

The design and optimization of rail feeder routes has become a new focus of public transport operation in the face of the continuous expansion of rail transit in large cities and the shrinking of bus passenger flow. In the areas where feeder buses are lacking, bike sharing has become an important way of rail passenger feeder. This paper extracts the rail feeder travel demand based on shared bicycle orders, and establishes a multi-objective two-layer planning model for solving the feeder bus routes and frequencies in the dual-rail station area from the perspectives of bus operation revenue and passengers' travel mode selection. Combined with the actual road condition data, the designed bus line operation time is projected, and the optimized bus line design scheme is obtained by using the elite non-dominated sorting genetic algorithm. The effectiveness of this method is verified by applying it on the actual data of Shenzhen city area.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiguo Zheng, Jushang Ou, Jiandong Qiu, Heng Liu, Yubo Zhao, and Junshao Luo "Demand exploitation and route optimization design of rail transit feeder based on shared bicycle orders", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134215L (20 December 2024); https://doi.org/10.1117/12.3054720

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