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Does Operation Scheduling Make a Difference: Tapping the Potential of Optimized Design for Skipping-Stop Strategy in Reducing Bus Emissions

Author

Listed:
  • Xumei Chen

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

  • Xiaomi Han

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

  • Lei Yu

    (College of Science, Engineering and Technology, Texas Southern University, Houston, TX 77004, USA)

  • Changhai Wei

    (Nanjing Institute of City & Transport Panning Co., Ltd, Nanjing 210008, China)

Abstract

The idea of corporate social responsibility has promoted bus operation agencies to rethink how to provide not only efficient but also environmentally friendly services for residents. A study on the potential of using an optimized design of skip-stop services, one of the essential operational strategies in practice, to reduce emissions is conducted in this paper. The underlying scheduling problem is formulated as a nonlinear programming problem with the primary objective of optimizing the total costs for both passengers and operating agencies, as well as with the secondary objective of minimizing bus emissions. A solution method is developed to solve the problem. A real-world case of Route 16 in Beijing is studied, in which the optimal scheduling strategy that maximizes the cost savings and environmental benefits is determined. The costs and emissions of the proposed scheduling strategy are compared with the optimal scheduling with skip-stop services without considering bus emissions. The results show that the proposed scheduling strategy outperforms the other operating strategy with respect to operational costs and bus emissions. A sensitivity study is then conducted to investigate the impact of the fleet size in operations and passenger demand on the effectiveness of the proposed stop-skipping strategy considering bus emissions.

Suggested Citation

  • Xumei Chen & Xiaomi Han & Lei Yu & Changhai Wei, 2017. "Does Operation Scheduling Make a Difference: Tapping the Potential of Optimized Design for Skipping-Stop Strategy in Reducing Bus Emissions," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1737-:d:113274
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    References listed on IDEAS

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    1. Steven I.-Jy Chien & Yavuz Y. Ulusoy & Chien-Hung Wei, 2010. "Integrated transit services for minimum cost operation considering heterogeneous demand," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(7), pages 605-624, July.
    2. Yavuz Y. Ulusoy & Steven I-Jy Chien, 2015. "Optimal bus service patterns and frequencies considering transfer demand elasticity with genetic algorithm," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(4), pages 409-424, June.
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    Cited by:

    1. Liang Gong & Yinzhen Li & Dejie Xu, 2019. "Combinational Scheduling Model Considering Multiple Vehicle Sizes," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    2. Cheng, Han & Mao, Chao & Madanat, Samer & Horvath, Arpad, 2018. "Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco," Transport Policy, Elsevier, vol. 66(C), pages 40-48.
    3. Qian Yu & Lili Lu & Tiezhu Li & Ran Tu, 2022. "Quantifying the Impact of Alternative Bus Stop Platforms on Vehicle Emissions and Individual Pollution Exposure at Bus Stops," IJERPH, MDPI, vol. 19(11), pages 1-16, May.

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