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Optimizing the spatio-temporal deployment of battery electric bus system

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  • Wei, Ran
  • Liu, Xiaoyue
  • Ou, Yi
  • Kiavash Fayyaz, S.

Abstract

Environmental concerns due to fossil fuel consumption and emissions drive transportation industry to shift towards low-impact and sustainable energy sources. Public transit system, as an integral part of multimodal transportation ecosystem, has been supporting such shift by exploring the adoption of electric vehicles. In recent years, the advancement in Battery Electric Buses (BEBs) and their supporting infrastructure technology made them a viable replacement for diesel and Compressed Natural Gas (CNG) buses. Yet, it remains a challenge on how to optimally deploy the BEB system due to its unique spatio-temporal characteristics. To fill this gap, this research introduces a spatio-temporal optimization model to identify the optimal deployment strategies for BEB system. The identified spatio-temporal deployment of BEB system can minimize the cost associated with vehicle procurement and charging station allocation, while satisfying transit operation constraints such as maintaining existing bus operation routes and schedules. The proposed method is implemented onto the transit network operated by the Utah Transit Authority (UTA) to showcase its effectiveness. As many transit agencies are testing electric buses and considering the integration of electric buses into future fleet, this research will help transit agencies make informed decisions regarding strategic planning and design of BEB systems.

Suggested Citation

  • Wei, Ran & Liu, Xiaoyue & Ou, Yi & Kiavash Fayyaz, S., 2018. "Optimizing the spatio-temporal deployment of battery electric bus system," Journal of Transport Geography, Elsevier, vol. 68(C), pages 160-168.
  • Handle: RePEc:eee:jotrge:v:68:y:2018:i:c:p:160-168
    DOI: 10.1016/j.jtrangeo.2018.03.013
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    References listed on IDEAS

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    1. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    2. He, Fang & Wu, Di & Yin, Yafeng & Guan, Yongpei, 2013. "Optimal deployment of public charging stations for plug-in hybrid electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 47(C), pages 87-101.
    3. Chung, Sung Hoon & Kwon, Changhyun, 2015. "Multi-period planning for electric car charging station locations: A case of Korean Expressways," European Journal of Operational Research, Elsevier, vol. 242(2), pages 677-687.
    4. Kumar, Lalit & Jain, Shailendra, 2014. "Electric propulsion system for electric vehicular technology: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 924-940.
    5. Wang, Yusheng & Huang, Yongxi & Xu, Jiuping & Barclay, Nicole, 2017. "Optimal recharging scheduling for urban electric buses: A case study in Davis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 115-132.
    6. Wang, Ying-Wei & Lin, Chuah-Chih, 2009. "Locating road-vehicle refueling stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 821-829, September.
    7. Kuby, Michael & Lim, Seow, 2005. "The flow-refueling location problem for alternative-fuel vehicles," Socio-Economic Planning Sciences, Elsevier, vol. 39(2), pages 125-145, June.
    8. De Filippo, Giovanni & Marano, Vincenzo & Sioshansi, Ramteen, 2014. "Simulation of an electric transportation system at The Ohio State University," Applied Energy, Elsevier, vol. 113(C), pages 1686-1691.
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    Cited by:

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    2. Xiaoqing Su & Lanqing Jiang & Yucheng Huang, 2023. "Design of Electric Bus Transit Routes with Charging Stations under Demand Uncertainty," Energies, MDPI, vol. 16(4), pages 1-16, February.
    3. Hatem Abdelaty & Ahmed Foda & Moataz Mohamed, 2023. "The Robustness of Battery Electric Bus Transit Networks under Charging Infrastructure Disruptions," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    4. Wu, Weitiao & Lin, Yue & Liu, Ronghui & Jin, Wenzhou, 2022. "The multi-depot electric vehicle scheduling problem with power grid characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 322-347.
    5. Boud Verbrugge & Mohammed Mahedi Hasan & Haaris Rasool & Thomas Geury & Mohamed El Baghdadi & Omar Hegazy, 2021. "Smart Integration of Electric Buses in Cities: A Technological Review," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    6. Bálint Csonka, 2021. "Optimization of Static and Dynamic Charging Infrastructure for Electric Buses," Energies, MDPI, vol. 14(12), pages 1-18, June.
    7. Xinkuo Xu & Xiaofeng Lv & Liyan Han, 2019. "Carbon Asset of Electrification: Valuing the Transition from Fossil Fuel-Powered Buses to Battery Electric Buses in Beijing," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    8. Foda, Ahmed & Abdelaty, Hatem & Mohamed, Moataz & El-Saadany, Ehab, 2023. "A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling," Energy, Elsevier, vol. 277(C).
    9. Zhou, Yirong & Liu, Xiaoyue Cathy & Grubesic, Tony, 2021. "Unravel the impact of COVID-19 on the spatio-temporal mobility patterns of microtransit," Journal of Transport Geography, Elsevier, vol. 97(C).
    10. Rinaldi, Marco & Picarelli, Erika & D'Ariano, Andrea & Viti, Francesco, 2020. "Mixed-fleet single-terminal bus scheduling problem: Modelling, solution scheme and potential applications," Omega, Elsevier, vol. 96(C).
    11. Krzysztof KRAWIEC, 2021. "Vehicle Cycle Hierarchization Model To Determine The Order Of Battery Electric Bus Deployment In Public Transport," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(1), pages 99-112, March.
    12. Xinkuo Xu & Liyan Han, 2020. "Operational Lifecycle Carbon Value of Bus Electrification in Macau," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    13. Purnell, K. & Bruce, A.G. & MacGill, I., 2022. "Impacts of electrifying public transit on the electricity grid, from regional to state level analysis," Applied Energy, Elsevier, vol. 307(C).
    14. He, Yi & Liu, Zhaocai & Zhang, Yiming & Song, Ziqi, 2023. "Time-dependent electric bus and charging station deployment problem," Energy, Elsevier, vol. 282(C).
    15. Feifeng Zheng & Zhixin Wang & Zhaojie Wang & Ming Liu, 2023. "Daytime and Overnight Joint Charging Scheduling for Battery Electric Buses Considering Time-Varying Charging Power," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    16. Neil Quarles & Kara M. Kockelman & Moataz Mohamed, 2020. "Costs and Benefits of Electrifying and Automating Bus Transit Fleets," Sustainability, MDPI, vol. 12(10), pages 1-15, May.

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