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The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example

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  • Yunqiang Xue

    (School of Transportation, Southeast University, Nanjing 210096, China
    School of Transportation Engineering, East China JiaoTong University, Nanchang 330013, China)

  • Lin Cheng

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Haoran Jiang

    (Urban Mobility Institute, Tongji University, Shanghai 201804, China)

  • Jun Guo

    (College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China)

  • Hongzhi Guan

    (College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

In order to optimize the bus departure time considering uncertain factors, this paper constructed an uncertain bi-level programming model for departure frequency and scheduling of a bus line. The uncertainty of passenger arrival and bus operation time were taken into account, combined with actual operation conditions. Nanchang 207 bus line was taken as an example to optimize the departure frequency and scheduling in the morning peak hour. The optimal departure frequency in the morning peak hour is 12 times. The overall index value of the route’s non-uniform scheduling during peak hours increased by 0.06 and 9.23% compared with uniform scheduling. The analysis results show that the effect of the non-uniform scheduling is obvious. The issue of bus line departure frequency and scheduling has a positive effect on improving the efficiency of public transportation, reducing operating costs and promoting the sustainable development of the public transportation system. This paper provides a theoretical support for bus operators to optimize route operations.

Suggested Citation

  • Yunqiang Xue & Lin Cheng & Haoran Jiang & Jun Guo & Hongzhi Guan, 2023. "The Optimization of Bus Departure Time Based on Uncertainty Theory—Taking No. 207 Bus Line of Nanchang City, China, as an Example," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:7005-:d:1129569
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    References listed on IDEAS

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    1. John L. Renne & Tara Tolford & Shima Hamidi & Reid Ewing, 2016. "The Cost and Affordability Paradox of Transit-Oriented Development: A Comparison of Housing and Transportation Costs Across Transit-Oriented Development, Hybrid and Transit-Adjacent Development Statio," Housing Policy Debate, Taylor & Francis Journals, vol. 26(4-5), pages 819-834, September.
    2. Jonas Damidavičius & Marija Burinskienė & Jurgita Antuchevičienė, 2020. "Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    3. Goberna, M.A. & Jeyakumar, V. & Li, G. & Vicente-Pérez, J., 2018. "Guaranteeing highly robust weakly efficient solutions for uncertain multi-objective convex programs," European Journal of Operational Research, Elsevier, vol. 270(1), pages 40-50.
    4. Guo-Ling Jia & Rong-Guo Ma & Zhi-Hua Hu, 2019. "Urban Transit Network Properties Evaluation and Optimization Based on Complex Network Theory," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    5. El-Geneidy, Ahmed & Levinson, David & Diab, Ehab & Boisjoly, Genevieve & Verbich, David & Loong, Charis, 2016. "The cost of equity: Assessing transit accessibility and social disparity using total travel cost," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 302-316.
    6. Dong Liu & Mei‐Po Kwan, 2020. "Measuring Job Accessibility Through Integrating Travel Time, Transit Fare And Income: A Study Of The Chicago Metropolitan Area," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(4), pages 671-685, September.
    7. Monnerat, Filipe & Dias, Joana & Alves, Maria João, 2019. "Fleet management: A vehicle and driver assignment model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 64-75.
    8. Federica Ciccullo & Margherita Pero & Jonathan Gosling & Maria Caridi & Laura Purvis, 2020. "When Sustainability Becomes an Order Winner: Linking Supply Uncertainty and Sustainable Supply Chain Strategies," Sustainability, MDPI, vol. 12(15), pages 1-26, July.
    9. Liu, Tao & Ceder, Avishai (Avi), 2018. "Integrated public transport timetable synchronization and vehicle scheduling with demand assignment: A bi-objective bi-level model using deficit function approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 935-955.
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