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Author:

Hu, Hong (Hu, Hong.) | Yang, Xiao-Kuan (Yang, Xiao-Kuan.) | Wei, Zhong-Hua (Wei, Zhong-Hua.) | Dai, Shuai (Dai, Shuai.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Different system combinations of BRT elements exhibit different service levels and reflect different budgetary constraints. The objectives of this paper are mainly focused on BRT design to reduce the overall passenger waiting time and to determine appropriate numbers of BRT vehicles, and to present a quantitative evaluation model based on optimizing cost-efficiency of a BRT system. The method provides useful tools to evaluate the planning schemes of BRT systems for Chinese big cities. The method takes much actual transit condition and investment constraints in Chinese cities into account. The paper depicts the detailed formulas and procedures for recommending an optimal combination of feasible BRT planning based on specific transportation investigations. Furthermore, a case study of the integrated BRT planning used in Hangzhou City is conducted to show how the adaptability of this method would be utilized.

Keyword:

Rapid transit Optimization Planning Vehicles Costs Design Investments Mathematical models

Author Community:

  • [ 1 ] [Hu, Hong]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Yang, Xiao-Kuan]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Wei, Zhong-Hua]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Dai, Shuai]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 5 ] [Dai, Shuai]Shandong Jiaotong University, Jinan 250023, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2007

Issue: 4

Volume: 33

Page: 393-397

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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