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作者:

Zhou, Y. (Zhou, Y..) | Yao, L. (Yao, L..) | Zhao, J. (Zhao, J..) (学者:赵京) | Chen, Y. (Chen, Y..) | Zhao, Q. (Zhao, Q..)

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摘要:

In order to guide travelers for green public transport, it is pressing to improve the level of public transport network services and ease the increasing serious problem of traffic jam. The multi-mode public transport includes the metro, the bus rapid transit and the ordinary bus. Therefore, the individual travel chain data was extracted based on IC card data. The station coverage ratio, the load factor and the travel time relative reliability were taken as indicators to calculate public transport relative reliability of different bus lines and areas. Then the relative reliability grades from four large living quarters to Guomao in Jing-Ji area were marked. Results show that with the higher station coverage ratio, the more appropriate load factor and the higher travel time relative reliability index, the relative reliability of public transport is better. The relative reliabilities of Tiantongyuan, Huilongguan, Tongzhou and Yanjiao are 0.85, 0.70, 0.50 and 0.25 respectively. It provides quantitative data support for station layout of public transport. © 2017, Editorial Department of Journal of Beijing University of Technology. All right reserved.

关键词:

IC card data; Intelligent transport; Load factor of line; Multi-mode public transport; Relative reliability; Travel time

作者机构:

  • [ 1 ] [Zhou, Y.]Key Laboratory of Advanced Public Transportation Science, Ministry of Transport PRC (Beijing University of Technology), Beijing, 100124, China
  • [ 2 ] [Zhou, Y.]Beijing Key Laboratory of Transportation Engineering (Beijing University of Technology), Beijing, 100124, China
  • [ 3 ] [Yao, L.]Key Laboratory of Advanced Public Transportation Science, Ministry of Transport PRC (Beijing University of Technology), Beijing, 100124, China
  • [ 4 ] [Zhao, J.]Key Laboratory of Advanced Public Transportation Science, Ministry of Transport PRC (Beijing University of Technology), Beijing, 100124, China
  • [ 5 ] [Chen, Y.]Key Laboratory of Advanced Public Transportation Science, Ministry of Transport PRC (Beijing University of Technology), Beijing, 100124, China
  • [ 6 ] [Chen, Y.]Beijing Key Laboratory of Transportation Engineering (Beijing University of Technology), Beijing, 100124, China
  • [ 7 ] [Zhao, Q.]Key Laboratory of Advanced Public Transportation Science, Ministry of Transport PRC (Beijing University of Technology), Beijing, 100124, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2017

期: 8

卷: 43

页码: 1227-1233

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