Abstract
This paper describes a method of bi-modal public transport network optimization considering the relationships between bus rapid transit (BRT) routes and conventional bus routes. BRT has large capacity and speed. In order to reduce travel time in the bus network, bus passengers should transfer to BRT often. The paper establishes the optimization model of public transportation network combining the competitive and cooperative relationship concepts of the bus network and ensure that public transport can cover all the original bus sites. Lanzhou, a medium-sized city in China, has two kinds of public transport modes, conventional bus and BRT. After BRT routes were added, not enough attention was paid to cooperation and competition between BRT and conventional routes. This paper shows how to optimize the network of Lanzhou. Comparing the optimization network with the current network, the average passengers travel time in network is significantly lower than the current one.
| Original language | English |
|---|---|
| Title of host publication | CICTP 2019 |
| Subtitle of host publication | Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals |
| Editors | Lei Zhang, Jianming Ma, Pan Liu, Guangjun Zhang |
| Publisher | American Society of Civil Engineers (ASCE) |
| Pages | 1133-1146 |
| Number of pages | 14 |
| ISBN (Electronic) | 9780784482292 |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019 - Nanjing, China Duration: 6 Jul 2019 → 8 Jul 2019 |
Publication series
| Name | CICTP 2019: Transportation in China - Connecting the World - Proceedings of the 19th COTA International Conference of Transportation Professionals |
|---|
Conference
| Conference | 19th COTA International Conference of Transportation Professionals: Transportation in China - Connecting the World, CICTP 2019 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 6/07/19 → 8/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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