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 language | English |
|---|---|
| Title of host publication | Recent Trends in Decision Science and Management - Proceedings of ICDSM 2019 |
| Editors | Tao-Sheng Wang, Andrew W.H. Ip, Madjid Tavana, Vipul Jain |
| Publisher | Springer |
| Pages | 381-394 |
| Number of pages | 14 |
| ISBN (Print) | 9789811535871 |
| DOIs | |
| State | Published - 2020 |
| Event | 2nd International Conference on Decision Science and Management, ICDSM 2019 - Changsha, China Duration: 20 Sep 2019 → 21 Sep 2019 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 1142 |
| ISSN (Print) | 2194-5357 |
| ISSN (Electronic) | 2194-5365 |
Conference
| Conference | 2nd International Conference on Decision Science and Management, ICDSM 2019 |
|---|---|
| Country/Territory | China |
| City | Changsha |
| Period | 20/09/19 → 21/09/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Distribution characteristic
- Express/local trains
- Stopping schedules
- Urban rail transit
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