Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

Community Bus Route Planning Based on Metro Short-Range Trips Analysis

Publication: ICTE 2019

ABSTRACT

As the last part of urban public transport, community bus serves for the last part of trips. Aimed to share the pressure of high-flow-density metro section and provide short-walk-distance server for remote districts that away from metro stations, this paper analyzed the time/space distribution of trips that travel short than 4 sections in the metro net based on metro AFC data (Nanjing) on weekdays/weekends/vacations. Result shows that the time/space distribution varies different among different type of days. Based on the analysis, this paper raised a heuristic route plan method for community bus that aimed to replace the metros. Using metro data and minimize the sum of travel time cost and operating cost, method finally get the route/station/gap of community bus, and the real data of Nanjing is applied to the method. The research results of this paper will provide important method support for the construction of urban public transport.

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REFERENCE

Chien, S, Schonfeld, P (2010). Joint optimization of a rail transit line and its feeder bus system[J]. Journal of Advanced Transportation, 32(3): 253-284.
Kuah, G K, Perl, J (1988). Optimization of Feeder Bus Routes and Bus-Stop Spacing[J]. Journal of Transportation Engineering, 114(3): 341-354.
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Sawada, Y, Uchida, T (2015). Analysis of Resident Interest and Intentions for Community Bus Network Reorganization[J]. Memoirs of the Faculty of Engineering Osaka City University, 56.
Takakura, M, Tanaka, M S (2015). Bus transportation system design of community bus "Notty" based on optimization theory[C]// Ieee/sice International Symposium on System Integration. IEEE: 489-494.
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Information & Authors

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Published In

Go to ICTE 2019
ICTE 2019
Pages: 59 - 66
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Authors

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Professor, Jiangsu Province Key Laboratory of Urban Intelligent Transportation, School of Transportation, Southeast Univ., Jiulonghu Campus, Nanjing 211189, P.R. China (corresponding author). E-mail: [email protected]
Jiangsu Province Key Laboratory of Urban Intelligent Transportation, School of Transportation, Southeast Univ., Jiulonghu Campus, Nanjing 211189, P.R. China. E-mail: [email protected]

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