A Stop-Probability Approach for O-D Service Frequency on High-Speed Railway Lines

Shuo Zhao, Xiwei Mi and Zhenyi Li
Additional contact information
Shuo Zhao: School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan 410075, China
Xiwei Mi: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Zhenyi Li: Institute of Computing Technologies, China Academy of Railway Sciences, Beijing 100081, China

Sustainability, 2019, vol. 11, issue 24, 1-21

Abstract: Train stop planning provides appropriate service for travel demand and stations and plays a significant role in railway operation. This paper formulates stop planning from the point of view of direct travel between origin-destination (O-D) stations and proposes an analytical method to theoretically derive optimal service frequencies for O-D demand on different levels. Considering different O-D demand characteristics and train service types, we introduce the concept of stop probability to present the mathematical formulation for stop planning with the objective of minimizing per capita travel time, which is solved by an iterative algorithm combined with local search. The resulting optimal stop probabilities can be used to calculate the required service frequency for each train type serving different demand categories. Numerical examples, based on three real-life high-speed railway lines, demonstrate the validity of the proposed method. The proposed approach provides a more flexible and practical way for stop planning that explicitly takes into account the importance of different stations and passenger travel characteristics.

Keywords: High-speed Railway; Stop planning; Stop Probability; Per Capita Travel Time; Average Number of Train Services (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/24/6996/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/24/6996/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:24:p:6996-:d:295417

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().