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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
21.12.2017
DOI
https://doi.org/10.7307/ptt.v29i6.2271
ISSUE
2017 (Vol 29), Issue 6
LICENSE
Copyright (c) 2024 Zhongzhen Yang, Jiannan Cheng
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Optimization of Trip-end Networks and Ride Price for Express Coach Systems in the High-speed Rail Era

Authors:

Zhongzhen Yang
Dalian Maritime University

Jiannan Cheng
Dalian Maritime University

Keywords:express coach, high-speed rail, door-to-door mode, trip-end network, ticket price, operating prof-it,

Abstract

Express coach (EC) lost a considerable share of passengers after high-speed rail (HSR) was implemented. This paper proposes a door-to-door operation mode for the EC system and builds a model to design an EC trip-end network in the origin city with the aim of maximizing the EC’s daily operating profit. A case study is undertaken, and the results show that the operating profit of the EC system first increases and then decreases with the growth of the trip-end routes. In the HSR era, door-to-door operation can effectively guarantee the market share and operating profits of the EC.

References

  1. Lampkim S. The design of routes, undertaking: a case study. Transp Res. 1967;34(2): 123-127.

    Mandl CE. Evaluation and optimization of urban public transportation networks. Eur J Oper Res. 1980;5(6): 396-404.

    Van Nes R, Bovy PHL. The importance of objectives in urban transit network design. Transp Res Rec. 2000;1735: 50-57.

    Chakroborty P, Wivedi T. Optimal route network design for transit systems using genetic algorithms. Eng Optim. 2002;34(1):83-100.

    Ceder A, Wilson NHM. Bus network design. Transp Res B Methodol. 1986;20(4): 331-344.

    Baaj MH, Mahmassani HS. An AI-based approach for transit route system planning and design. J Adv Transp. 1991;25(2): 187-209.

    Baaj MH, Mahmassani HS. Hybrid route generation heuristic algorithm for the design of transit networks. Transp Res C Emerg Technol. 1995;3(1): 31-50.

    Ceder A, Israeli Y. User and operator perspectives in transit network design. Transp Res Rec. 1998;1623: 3-7.

    Pattnaik SB, Mohan S, Tom VM. route network des

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How to Cite
Yang, Z. (et al.) 2017. Optimization of Trip-end Networks and Ride Price for Express Coach Systems in the High-speed Rail Era. Traffic&Transportation Journal. 29, 6 (Dec. 2017), 581-592. DOI: https://doi.org/10.7307/ptt.v29i6.2271.

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