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The Feasibility Research on Express/Local Train Plan of Beijing Subway with Passenger Flow Analysis

  • Beihang University
  • Beijing Transportation Information Center
  • Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The paper aims to analyze the feasibility of express/local trains in Beijing urban rail transit based on the distribution characteristics of passenger flow; the study analyzes the advantages of express train schemes compared with the existing stopping schedules according to the specific passenger flow distribution. In this paper, four schemes are discussed, i.e., All-Stop, Stop-Skip, Non-Stop-Skip, and Non-all-stop. Four different stopping modes of operation schemes and whether overtaking is necessary are analyzed and discussed. Compared with other modes of travel, such as public transportation and automobiles, rail transit produces the least amount of pollution per capita, which is also an important force for the country to promote green development. Then, from the three aspects of passenger travel time, line capacity, and operation cost of enterprises, the most suitable operation scheme for Beijing rail transit is found out. The present situation of Beijing rail transit is illustrated from five aspects: the time distribution characteristics of passenger flow, the spatial distribution characteristics of passenger flow, the distribution characteristics of average passenger stations, the distribution characteristics of passenger flow between stations, and the distribution characteristics of full load rate, and the suitability of different operation schemes for the reflected passenger flow characteristics is analyzed and discussed. The result suggests that the Non-all-stop express trains plan is the best choice for Beijing urban rail transit.

Original languageEnglish
Title of host publicationRecent Trends in Decision Science and Management - Proceedings of ICDSM 2019
EditorsTao-Sheng Wang, Andrew W.H. Ip, Madjid Tavana, Vipul Jain
PublisherSpringer
Pages381-394
Number of pages14
ISBN (Print)9789811535871
DOIs
StatePublished - 2020
Event2nd International Conference on Decision Science and Management, ICDSM 2019 - Changsha, China
Duration: 20 Sep 2019 → 21 Sep 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1142
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Decision Science and Management, ICDSM 2019
Country/TerritoryChina
CityChangsha
Period20/09/19 → 21/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Distribution characteristic
  • Express/local trains
  • Stopping schedules
  • Urban rail transit

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