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Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem


  • Regue, Robert
  • Recker, Will


Bikesharing suffers from the effects of fluctuating demand that leads to system inefficiencies. We propose a framework to solve the dynamic bikesharing repositioning problem based on four core models: a demand forecasting model, a station inventory model, a redistribution needs model, and a vehicle-routing model. The approach is proactive instead of reactive, as bike repositioning occurs before inefficiencies are observed. The framework is tested using data from the Hubway Bikesharing system. Simulation results indicate that system performance improvements of 7% are achieved reducing the number of empty and full events by 57% and 76%, respectively, during PM peaks.

Suggested Citation

  • Regue, Robert & Recker, Will, 2014. "Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 192-209.
  • Handle: RePEc:eee:transe:v:72:y:2014:i:c:p:192-209
    DOI: 10.1016/j.tre.2014.10.005

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    References listed on IDEAS

    1. Donald W. K. Andrews & Xiaoxia Shi, 2013. "Inference Based on Conditional Moment Inequalities," Econometrica, Econometric Society, vol. 81(2), pages 609-666, March.
    2. ., 2012. "Globalization and income inequalities," Chapters,in: The New Global Political Economy, chapter 3, pages 79-105 Edward Elgar Publishing.
    3. Kek, Alvina G.H. & Cheu, Ruey Long & Meng, Qiang & Fung, Chau Ha, 2009. "A decision support system for vehicle relocation operations in carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 149-158, January.
    4. Bojin Zheng & Wenhua Du & Wanneng Shu & Jianmin Wang & Deyi Li, 2012. "Equalitarian Societies are Economically Impossible," Papers 1210.2132,
    5. Friedman, Jerome H., 2002. "Stochastic gradient boosting," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 367-378, February.
    6. Hipólito Hernández-Pérez & Juan-José Salazar-González, 2004. "Heuristics for the One-Commodity Pickup-and-Delivery Traveling Salesman Problem," Transportation Science, INFORMS, vol. 38(2), pages 245-255, May.
    7. Mohamed Karim KEFI & Hadhek Zouhaier, 2012. "Inequality and Economic Growth," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(8), pages 1013-1025, December.
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    Cited by:

    1. repec:eee:transb:v:109:y:2018:i:c:p:176-211 is not listed on IDEAS
    2. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    3. Li, Xiaopeng & Ma, Jiaqi & Cui, Jianxun & Ghiasi, Amir & Zhou, Fang, 2016. "Design framework of large-scale one-way electric vehicle sharing systems: A continuum approximation model," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 21-45.
    4. Ranran Yang & Ruyin Long, 2016. "Analysis of the Influencing Factors of the Public Willingness to Participate in Public Bicycle Projects and Intervention Strategies—A Case Study of Jiangsu Province, China," Sustainability, MDPI, Open Access Journal, vol. 8(4), pages 1-16, April.
    5. repec:eee:transb:v:103:y:2017:i:c:p:188-207 is not listed on IDEAS
    6. repec:gam:jsusta:v:8:y:2016:i:4:p:349:d:67929 is not listed on IDEAS
    7. repec:kap:netspa:v:17:y:2017:i:4:d:10.1007_s11067-017-9366-x is not listed on IDEAS


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