A user-based adaptive joint relocation model combining electric car-sharing and bicycle-sharing

References

• Amjad, M. K., S. I. Butt, and N. Anjum. 2021. “Improved Genetic Algorithm Integrated with Scheduling Rules for Flexible Job Shop Scheduling Problems.” E3S Web of Conferences 243: 1–5. doi:10.1051/e3sconf/202124302010.
   Google Scholar
• Angelopoulos, A., D. Gavalas, C. Konstantopoulos, D. Kypriadis, and G. Pantziou. 2018. “Incentivized Vehicle Relocation in Vehicle Sharing Systems.” Transportation Research Part C-Emerging Technologies 97: 175–193. doi:10.1016/j.trc.2018.10.016.
   Web of Science ®Google Scholar
• Balac, M., F. Ciari, and K. W. Axhausen. 2016. “Carsharing Demand Estimation: Zurich, Switzerland, Area Case Study.” Transportation Research Record 2563 (1): 10–18. doi:10.3141/2536-02.
   Google Scholar
• Berg, J., M. Henriksson, and J. Ihlstrm. 2019. “Comfort First! Vehicle-Sharing Systems in Urban Residential Areas: the Importance for Everyday Mobility and Reduction of car use among Pilot Users.” Sustainability 11 (9): 2521–2536. doi:10.3390/su11092521.
   Web of Science ®Google Scholar
• Bie, Y., J. Ji, X. Wang, and X. Qu. 2021. “Optimization of Electric bus Scheduling Considering Stochastic Volatilities in Trip Travel Time and Energy Consumption.” Computer-Aided Civil and Infrastructure Engineering 52: 1–19. doi:10.1111/mice.12684.
   Google Scholar
• Bordagaray, M., L. dell’Olio, A. Fonzone, and A. Ibeas. 2016. “Capturing the Conditions That Introduce Systematic Variation in Bike-Sharing Travel Behavior Using Data Mining Techniques.” Transportation Research Part C: Emerging Technologies 71: 231–248. doi:10.1016/j.trc.2016.07.009.
   Web of Science ®Google Scholar
• Boyacı, B., K. G. Zografos, and N. Geroliminis. 2017. “An Integrated Optimization-Simulation Framework for Vehicle and Personnel Relocations of Electric Carsharing Systems with Reservations.” Transportation Research Part B 95: 214–237. doi:10.1016/j.trb.2016.10.007.
   Google Scholar
• Boyaci, B., K. G. Zografos, and N. Geroliminis. 2015. “An Optimization Framework for the Development of Efficient one-way car-Sharing Systems.” European Journal of Operational Research 240 (3): 718–733. doi:10.1016/j.ejor.2014.07.020.
   Web of Science ®Google Scholar
• Bruglieri, M., F. Pezzella, and O. Pisacane. 2017. “Heuristic Algorithms for the Operator-Based Relocation Problem in one-way Electric Carsharing Systems.” Discrete Optimization 23: 56–80. doi:10.1016/j.disopt.2016.12.001.
   Web of Science ®Google Scholar
• Cepolina, E. M., A. Farina, and A. Pratelli. 2014. “Car-sharing Relocation Strategies: A State of the art.” Public Mobility Systems 7: 109–120. doi:10.2495/978-1-84564-908-1/010.
   Google Scholar
• Cheng, Y., X. Deng, and M. Zhang. 2019. “Two-tier Sharing in Electric Vehicle Service Market.” IEEE Transactions on Cloud Computing 99: 1–1. doi:10.1109/TCC.2019.2941484.
   Google Scholar
• Cheu, R. L., J. Xu, A. Kek, W. P. Lim, and W. L. Chen. 2006. “Forecasting of Shared-Use Vehicle Trips Using Neural Networks and Support Vector Machines.” Transportation Research Board 1968 (1): 40–46. doi:10.3141/1968-05.
   Google Scholar
• Clemente, M., M. P. Fanti, and A. M. Mangini. 2013. “The Vehicle Relocation Problem in Car Sharing Systems: Modeling and Simulation in a Petri Net Framework.” Springer 7927: 250–269. doi:10.1007/978-3-642-38697-8_14.
   Google Scholar
• Ding, Z. J., Z. Dai, X. M. Chen, and R. Jiang. 2020. “Simulating on-Demand Ride Services in a Manhattan-Like Urban Network Considering Traffic Dynamics.” Physica A: Statistical Mechanics and its Applications 545: 1–17. doi:10.1016/j.physa.2019.123621.
   Web of Science ®Google Scholar
• Dj, A., B. Zt, and C. Bvw. 2020. “Factors Influencing the Acceptance and use of a Bicycle Sharing System: Applying an Extended Unified Theory of Acceptance and use of Technology (Utaut).” Case Studies on Transport Policy 8 (4): 1212–1223.
   Web of Science ®Google Scholar
• El-Assi, W., M. S. Mahmoud, and K. N. Habib. 2017. “Effects of Built Environment and Weather on Bike Sharing Demand: a Station Level Analysis of Commercial Bike Sharing in Toronto.” Transportation 44 (3): 589–613. doi:10.1007/s11116-015-9669-z.
   Web of Science ®Google Scholar
• Faghih-Imani, A., N. Eluru, A. M. El-Geneidy, M. Rabbat, and U. Haq. 2014. “How Land-use and Urban Form Impact Bicycle Flows: Evidence from the Bicycle-Sharing System (Bixi) in Montreal.” Journal of Transport Geography 41: 306–314. doi:10.1016/j.jtrangeo.2014.01.013.
   Web of Science ®Google Scholar
• Faghih-Imani, A., R. Hampshire, L. Marla, and N. Eluru. 2017. “An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville.” Transportation Research Part A 97: 177–191. doi:10.1016/j.tra.2016.12.007.
   Google Scholar
• Forma, I. A., T. Raviv, and M. Tzur. 2015. “A 3-Step Math Heuristic for the Static Repositioning Problem in Bike-Sharing Systems.” Transportation Research Part B 71: 230–247. doi:10.1016/j.trb.2014.10.003.
   Google Scholar
• Gao, K. Z., Z. Cao, L. Zhang, Z. Chen, Y. Han, and Q. Pan. 2019. “A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems.” IEEE/CAA Journal of Automatica Sinica 6 (4): 904–916. doi:10.1109/JAS.2019.1911540.
   Google Scholar
• Gao, J., L. Sun, and M. Gen. 2008. “A Hybrid Genetic and Variable Neighborhood Descent Algorithm for Flexible job Shop Scheduling Problems.” Computers and Operations Research 35 (9): 2892–2907. doi:10.1016/j.cor.2007.01.001.
   Web of Science ®Google Scholar
• Gehrke, S. R., and T. F. Welch. 2019. “A Bikeshare Station Area Typology to Forecast the Station-Level Ridership of System Expansion.” Journal of Transport and Land Use 12 (1): 221–235. doi:10.5198/jtlu.2019.1395.
   Web of Science ®Google Scholar
• Glerum, A., L. Stankovikj, M. Themans, and M. Bierlaire. 2015. “Forecasting the Demand for Electric Vehicles: Accounting for Attitudes and Perceptions.” Operations Research 48 (4): 483–499. doi:10.1287/trsc.2013.0487.
   Google Scholar
• Hansen, R. G., and G. Pantuso. 2018. “Pricing car-Sharing Services in Multi-Modal Transportation Systems: an Analysis of the Cases of Copenhagen and Milan.” Computational Logistics 11184: 344–359. doi:10.1007/978-3-030-00898-7_23.
   Google Scholar
• Ho, S. C., and W. Y. Szeto. 2014. “Solving a Static Repositioning Problem in Bike-Sharing Systems Using Iterated Tabu Search.” Transportation Research Part E-Logistics and Transportation Review 69: 180–198. doi:10.1016/j.tre.2014.05.017.
   Web of Science ®Google Scholar
• Hou, Y., N. Wu, M. Zhou, and Z. Li. 2017. “Pareto-Optimization for Scheduling of Crude Oil Operations in Refinery via Genetic Algorithm.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (3): 517–530. doi:10.1109/TSMC.2015.2507161.
   Web of Science ®Google Scholar
• Hua, Y., D. Zhao, X. Wang, and X. Li. 2019. “Joint Infrastructure Planning and Fleet Management for one-way Electric car Sharing Under Time-Varying Uncertain Demand.” Transportation Research Part B: Methodological 128: 185–206. doi:10.1016/j.trb.2019.07.005.
   Web of Science ®Google Scholar
• Huang, K., K. An, and G. Correia. 2020. “Planning Station Capacity and Fleet Size of one-way Electric Carsharing Systems with Continuous State of Charge Functions.” European Journal of Operational Research 287 (3): 1075–1091. doi:10.1016/j.ejor.2020.05.001.
   Web of Science ®Google Scholar
• Huang, K., G. H. d. A. Correia, and K. An. 2018. “Solving the Station-Based one-way Carsharing Network Planning Problem with Relocations and non-Linear Demand.” Transportation Research Part C-Emerging Technologies 90: 1–17. doi:10.1016/j.trc.2018.02.020.
   Web of Science ®Google Scholar
• Illgen, S., and M. Höck. 2019. “Literature Review of the Vehicle Relocation Problem in one-way car Sharing Networks.” Transportation Research Part B 120: 193–204. doi:10.1016/j.trb.2018.12.006.
   Google Scholar
• Jia, H., H. Miao, G. Tian, M. Zhou, Y. Feng, Z. Li, and J. Li. 2020. “Multiobjective Bike Repositioning in Bike-Sharing Systems via a Modified Artificial bee Colony Algorithm.” IEEE Transactions on Automation Science and Engineering 17 (2): 621–632. doi:10.1109/TASE.2019.2950964.
   Web of Science ®Google Scholar
• Jin, W. Z., W. Y. Hu, J. Y. Deng, C. W. Luo, and L. H. Wei. 2021. “Flexible Scheduling Model of Demand Response Transit Based on Hybrid Algorithm.” Journal of South China University of Technolog 49 (1): 123–133.
   Google Scholar
• Jorge, D., and G. Correia. 2013. “Carsharing Systems Demand Estimation and Defined Operations: a Literature Review.” European Journal of Transport and Infrastructure Research 13 (3): 201–220. doi:10.18757/ejtir.2013.13.3.2999.
   Web of Science ®Google Scholar
• Kronsell, A., and D. Mukhtar-Landgren. 2018. “Experimental Governance: the Role of Municipalities in Urban Living Labs.” European Planning Studies 26 (5): 988–1007. doi:10.1080/09654313.2018.1435631.
   Web of Science ®Google Scholar
• Kypriadis, D., G. Pantziou, C. Konstantopoulos, and D. Gavalas. 2020. “Optimizing Relocation Cost in Free-Floating car-Sharing Systems.” IEEE Transactions on Intelligent Transportation Systems 21 (9): 4017–4030. doi:10.1109/TITS.2020.2995197.
   Web of Science ®Google Scholar
• Lorimier, A., and A. M. El-Geneidy. 2013. “Understanding the Factors Affecting Vehicle Usage and Availability in Carsharing Networks: A Case Study of Communauto Carsharing System from Montreal, Canada.” International Journal of Sustainable Transportation 7 (1): 35–51. doi:10.1080/15568318.2012.660104.
   Web of Science ®Google Scholar
• Ma, Y., Z. Wang, H. Yang, and L. Yang. 2020. “Artificial Intelligence Applications in the Development of Autonomous Vehicles: a Survey.” IEEE/CAA Journal of Automatica Sinica 7 (2): 315–329. doi:10.1109/JAS.2020.1003021.
   Google Scholar
• Miao, H., H. Jia, J. Li, and T. Z. Qiu. 2019. “Autonomous Connected Electric Vehicle (ACEV)-Based car-Sharing System Modeling and Optimal Planning: A Unified two-Stage Multi-Objective Optimization Methodology.” Energy 169: 797–818. doi:10.1016/j.energy.2018.12.066.
   Web of Science ®Google Scholar
• Miseviius, A., and D. Veren. 2021. “A Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem.” Entropy 23 (1): 108–138. doi:10.3390/e23010108.
   PubMed Web of Science ®Google Scholar
• Morency, C., K. M. N. Habib, V. Grasset, and M. T. Islam. 2012. “Understanding Members’ Carsharing (Activity) Persistency by Using Econometric Model.” Journal of Advanced Transportation 46 (1): 26–38. doi:10.1002/atr.142.
   Web of Science ®Google Scholar
• Mounce, R., and J. D. Nelson. 2019. “On the Potential for one-way Electric Vehicle car-Sharing in Future Mobility Systems.” Transportation Research Part A 120: 17–30. doi:10.1016/j.tra.2018.12.003.
   Google Scholar
• Nath, R. B., and T. Rambha. 2019. “Modelling Methods for Planning and Operation of Bike-Sharing Systems.” Journal of The Indian Institute of Science 99 (4): 621–645. doi:10.1007/s41745-019-00134-8.
   Google Scholar
• Nourinejad, M., S. Zhu, S. Bahrami, and M. J. Roorda. 2015. “Vehicle Relocation and Staff Rebalancing in one-way Carsharing Systems.” Transportation Research Part E-Logistics and Transportation Review 81 (7): 98–113. doi:10.1016/j.tre.2015.06.012.
   Google Scholar
• Park, C., and S. Y. Sohn. 2017. “An Optimization Approach for the Placement of Bicycle-Sharing Stations to Reduce Short car Trips: an Application to the City of Seoul.” Transportation Research Part A Policy & Practice 105: 154–166. doi:10.1016/j.tra.2017.08.019.
   Web of Science ®Google Scholar
• Schmöller, S., and K. Bogenberger. 2014. “Analyzing External Factors on the Spatial and Temporal Demand of Car Sharing Systems.” Procedia - Social and Behavioral Sciences 111: 8–17. doi:10.1016/j.sbspro.2014.01.033.
   Google Scholar
• Szeto, W. Y., Y. Liu, and S. C. Ho. 2016. “Chemical Reaction Optimization for Solving a Static Bike Repositioning Problem.” Transportation Research Part D 47: 104–135. doi:10.1016/j.trd.2016.05.005.
   Web of Science ®Google Scholar
• Taekwan, Y., R. C. Christopher, S. R. Megan, and E. B. John. 2019. “Carsharing Demand Estimation and Fleet Simulation with EV Adoption.” Journal of Cleaner Production 206: 1051–1058. doi:10.1016/j.jclepro.2018.09.124.
   Web of Science ®Google Scholar
• Tian, C. Y., and W. K. Chan. 2021. “Spatial-temporal Attention Wavenet: A Deep Learning Framework for Traffic Prediction Considering Spatial-Temporal Dependencies.” IET Intelligent Transport Systems 15 (4): 549–561. doi:10.1049/itr2.12044.
   Web of Science ®Google Scholar
• Wang, X., Z. Ning, C. Z. Meng, X. Hu, and B. Hu. 2019. “Privacy-preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions.” IEEE Communications Surveys & Tutorials 21 (2): 1314–1345. doi:10.1109/COMST.2018.2882064.
   Web of Science ®Google Scholar
• Wang, F. Y., N. N. Zheng, D. Cao, C. M. Martinez, L. Li, and T. Liu. 2017. “Parallel Driving in Cpss: a Unified Approach for Transport Automation and Vehicle Intelligence.” IEEE/CAA Journal of Automatica Sinica 4 (4): 577–587. doi:10.1109/JAS.2017.7510598.
   Google Scholar
• Wierbos, M. J., V. L. Knoop, F. S. Hänseler, and S. P. Hoogendoorn. 2021. “A Macroscopic Flow Model for Mixed Bicycle–car Traffic.” Transportmetrica A Transport Science 17: 340–355. doi:10.1080/23249935.2019.1708512.
   Web of Science ®Google Scholar
• Xu, M., Q. Meng, and Z. Liu. 2018. “Electric Vehicle Fleet Size and Trip Pricing for one-way Carsharing Services Considering Vehicle Relocation and Personnel Assignment.” Transportation Research Part B 111: 60–82. doi:10.1016/j.trb.2018.03.001.
   Google Scholar
• Yang, B., S. Sun, J. Li, X. Lin, and Y. Tian. 2018. “Traffic Flow Prediction Using LSTM with Feature Enhancement.” Neurocomputing 221: 320–327. doi:10.1016/j.neucom.2018.12.016.
   Google Scholar
• Yang, J., W. Q. Wang, K. Ma, B. Yang, and C. X. Dou. 2020. “Optimization and Self-Adaptive Dispatching Strategy for Multiple Shared Battery Stations of Electric Vehicles.” IEEE Transactions on Industrial Informatics 99: 1–11. doi:10.1109/TII.2020.2983393.
   Google Scholar
• Yao, E. J., T. Liu, T. W. Lu, and Y. Yang. 2020. “Optimization of Electric Vehicle Scheduling with Multiple Vehicle Types in Public Transport.” Sustainable Cities and Society 52: 1–10. doi:10.1016/j.scs.2019.101862.
   Web of Science ®Google Scholar
• Yuan, H., J. Bi, and M. C. Zhou. 2019. “Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers.” IEEE Transactions on Automation Science & Engineering 16 (4): 1686–1697. doi:10.1109/TASE.2019.2892480.
   Web of Science ®Google Scholar
• Zhang, Y., D. Lin, and Z. Mi. 2019. “Electric Fence Planning for Dockless Bike-Sharing Services.” Journal of Cleaner Production 206: 383–393. doi:10.1016/j.jclepro.2018.09.215.
   Web of Science ®Google Scholar
• Zhao, M., X. Li, J. Yin, J. Cui, L. Yang, and S. An. 2018. “An Integrated Framework for Electric Vehicle Rebalancing and Staff Relocation in one-way Carsharing Systems: Model Formulation and Lagrangian Relaxation-Based Solution Approach.” Transportation Research Part B 117: 542–572. doi:10.1016/j.trb.2018.09.014.
   Google Scholar
• Zhao, Z., S. Liu, M. C. Zhou, and A. Abusorrah. 2021. “Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem.” IEEE/CAA Journal of Automatica Sinica 8 (6): 1199–1209. doi:10.1109/JAS.2020.1003539.
   Google Scholar
• Zhao, L., Y. J. Song, C. Zhang, Y. Liu, P. Wang, T. Lin, M. Deng, and H. F. Li. 2020. “T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction.” IEEE Transactions on Intelligent Transportation Systems 21 (9): 3848–3858. doi:10.1109/TITS.2019.2935152.
   Web of Science ®Google Scholar
• Zheng, J., M. Scott, M. Rodriguez, W. Sierzchula, D. Platz, J. Y. Guo, and T. M. Adams. 2009. “Carsharing in a University Community Assessing Potential Demand and Distinct Market Characteristics.” Transportation Research Record 2110 (1): 18–26. doi:10.3141/2110-03.
   Google Scholar