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Bicycle sharing system design with capacity allocations

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  • Çelebi, Dilay
  • Yörüsün, Aslı
  • Işık, Hanife

Abstract

This study presents an integrated approach for the design of a Bicycle Sharing System (BSS) by jointly considering location decisions and capacity allocation. An important distinction of this approach is the definition of service levels, measured by the amount of unsatisfied demand both for bicycle pick-ups and returns. The method combines a set-covering model to assign location demands to stations with a queuing model to measure the related service levels. The key quality of this approach is its capacity in addressing the issues related to uncertainties in bicycle pick-up and return demand in BSS network design decisions. Results of the implementation of a BSS design for Istanbul Technical Universityâ;;s Ayazağa Campus show that our approach provides a balanced BSS network by equalizing the mean demand and return rates, which will decrease the need for relocation efforts once the system is put to use.

Suggested Citation

  • Çelebi, Dilay & Yörüsün, Aslı & Işık, Hanife, 2018. "Bicycle sharing system design with capacity allocations," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 86-98.
    • Handle: RePEc:eee:transb:v:114:y:2018:i:c:p:86-98
    DOI: 10.1016/j.trb.2018.05.018
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    3. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    4. Song, Jiatong & Li, Baicheng & Szeto, W.Y. & Zhan, Xingbin, 2024. "A station location design problem in a bike-sharing system with both conventional and electric shared bikes considering bike users’ roaming delay costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    5. Fu, Chenyi & Zhu, Ning & Ma, Shoufeng & Liu, Ronghui, 2022. "A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems," European Journal of Operational Research, Elsevier, vol. 298(3), pages 915-938.
    6. Dehdari Ebrahimi, Zhila & Momenitabar, Mohsen & Nasri, Arefeh A. & Mattson, Jeremy, 2022. "Using a GIS-based spatial approach to determine the optimal locations of bikeshare stations: The case of Washington D.C," Transport Policy, Elsevier, vol. 127(C), pages 48-60.
    7. Zhou, Yaoming & Lin, Zeyu & Guan, Rui & Sheu, Jiuh-Biing, 2023. "Dynamic battery swapping and rebalancing strategies for e-bike sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 177(C).
    8. Caggiani, Leonardo & Colovic, Aleksandra & Ottomanelli, Michele, 2020. "An equality-based model for bike-sharing stations location in bicycle-public transport multimodal mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 251-265.
    9. Ma, Xinwei & Zhang, Shuai & Wu, Tao & Yang, Yizhe & Yu, Jiajie, 2023. "Can dockless and docked bike-sharing substitute each other? Evidence from Nanjing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    10. Fukushige, Tatsuya & Fitch, Dillon T. & Handy, Susan, 2022. "Can an Incentive-Based approach to rebalancing a Dock-less Bike-share system Work? Evidence from Sacramento, California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 181-194.
    11. Qiang Wei & Xinyu Gou & Baiyang Zhang, 2024. "Urban Sharing Logistics Strategies against Epidemic Outbreaks: Its Feasibility and Sustainability," Sustainability, MDPI, vol. 16(17), pages 1-29, September.
    12. Obrenović, Nikola & Ataç, Selin & Bierlaire, Michel, 2024. "Light electric vehicle sharing systems: Functional design of a comprehensive decision making solution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).

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