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An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective

Author

Listed:
  • Xueqiao Yu

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Maoxiang Lang

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
    MOE Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, China)

  • Yang Gao

    (School of Business, Dalian University of Technology, Panjin 124221, China)

  • Kai Wang

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China)

  • Ching-Hsia Su

    (College of Tourism and Service Management, Nankai University, Tianjin 300071, China)

  • Sang-Bing Tsai

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
    Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China)

  • Mingkun Huo

    (Zhong Zi Hua Ke Traffic Construction Technology Co. Ltd., Beijing 100195, China)

  • Xiao Yu

    (Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100044, China)

  • Shiqi Li

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

The sustained and steady development of China’s economy has led to the rapid improvement of the logistics. At the same time, the rise of the e-commerce mode has given rise to a huge demand for express delivery and the express industry has entered a period of boom. Fortunately, China’s high-speed rail network has been networked, and the development of a high-speed rail express train has entered the test stage. After the high-speed rail express train is put into use, it could effectively relieve the pressure of highway transportation and significantly reduce transport pollution. To make better use of high-speed rail transport resources and give full play to its green and efficient advantages, this study established a two-stage model of a high-speed rail express train operation plan. In the first stage, a train candidate set generation model aiming for the minimum total cost of train operation was established that considered the high-speed line carrying capacity, section flow capacity, and OD requirement satisfaction constraints, which reduces the scale of train spare parts and improves the efficiency of solution. In addition, a column generation algorithm was designed to solve the model. In the second stage, an accurate flow distribution model aiming for the optimal economic efficiency was established, and then the high-speed express train operation plan was designed completely. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.

Suggested Citation

  • Xueqiao Yu & Maoxiang Lang & Yang Gao & Kai Wang & Ching-Hsia Su & Sang-Bing Tsai & Mingkun Huo & Xiao Yu & Shiqi Li, 2018. "An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2478-:d:158156
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    References listed on IDEAS

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    1. Qunzhen Qu & Sang-Bing Tsai & Mengxue Tang & Congjiang Xu & Weiwei Dong, 2016. "Marine Ecological Environment Management Based on Ecological Compensation Mechanisms," Sustainability, MDPI, vol. 8(12), pages 1-10, December.
    2. Frederick A. Armah & David O. Yawson & Alex A. N. M. Pappoe, 2010. "A Systems Dynamics Approach to Explore Traffic Congestion and Air Pollution Link in the City of Accra, Ghana," Sustainability, MDPI, vol. 2(1), pages 1-14, January.
    3. Feng Chen & Xiaopeng Shen & Zijia Wang & Yang Yang, 2017. "An Evaluation of the Low-Carbon Effects of Urban Rail Based on Mode Shifts," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
    4. Mor Kaspi & Tal Raviv, 2013. "Service-Oriented Line Planning and Timetabling for Passenger Trains," Transportation Science, INFORMS, vol. 47(3), pages 295-311, August.
    5. Sang-Bing Tsai & Jie Zhou & Yang Gao & Jiangtao Wang & Guodong Li & Yuxiang Zheng & Peng Ren & Wei Xu, 2017. "Combining FMEA with DEMATEL models to solve production process problems," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    6. Pazour, Jennifer A. & Meller, Russell D. & Pohl, Letitia M., 2010. "A model to design a national high-speed rail network for freight distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(3), pages 119-135, March.
    7. Baoshan Ge & Dake Jiang & Yang Gao & Sang-Bing Tsai, 2016. "The Influence of Legitimacy on a Proactive Green Orientation and Green Performance: A Study Based on Transitional Economy Scenarios in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    8. Tsai, Sang-Bing, 2018. "Using the DEMATEL model to explore the job satisfaction of research and development professionals in china's photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 62-68.
    9. Jeong, Seung-Ju & Lee, Chi-Guhn & Bookbinder, James H., 2007. "The European freight railway system as a hub-and-spoke network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 523-536, July.
    10. Bin Liu & Tao Li & Sang-Bing Tsai, 2017. "Low Carbon Strategy Analysis of Competing Supply Chains with Different Power Structures," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
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    3. Eun Hak Lee & Inmook Lee & Shin-Hyung Cho & Seung-Young Kho & Dong-Kyu Kim, 2019. "A Travel Behavior-Based Skip-Stop Strategy Considering Train Choice Behaviors Based on Smartcard Data," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    4. Xueqiao Yu & Maoxiang Lang & Wenhui Zhang & Shiqi Li & Mingyue Zhang & Xiao Yu, 2019. "An Empirical Study on the Comprehensive Optimization Method of a Train Diagram of the China High Speed Railway Express," Sustainability, MDPI, vol. 11(7), pages 1-30, April.
    5. Jin Qin & Wenxuan Qu & Xuanke Wu & Yijia Zeng, 2019. "Differential Pricing Strategies of High Speed Railway Based on Prospect Theory: An Empirical Study from China," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    6. Shicheng Li & Jian Gong & Qinghai Deng & Tianyu Zhou, 2018. "Impacts of the Qinghai–Tibet Railway on Accessibility and Economic Linkage of the Third Pole," Sustainability, MDPI, vol. 10(11), pages 1-17, October.
    7. Di Wu & Juan Carlos Martín, 2022. "Research on Passengers’ Preference for High-Speed Railways (HSRs) and High-Speed Trains (HSTs)," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    8. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    9. Eun Hak Lee & Hosuk Shin & Shin-Hyung Cho & Seung-Young Kho & Dong-Kyu Kim, 2019. "Evaluating the Efficiency of Transit-Oriented Development Using Network Slacks-Based Data Envelopment Analysis," Energies, MDPI, vol. 12(19), pages 1-15, September.
    10. Mingwei Li & Bingxue Shao & Xiasheng Shi, 2022. "Impact of High-Speed Rail on the Development Efficiency of Low-Carbon Tourism: A Case Study of an Agglomeration in China," Sustainability, MDPI, vol. 14(16), pages 1-16, August.

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