Acknowledgement
본 연구는 국토교통부 교통물류사업 (과제번호: 21TLRP-B148676-04)의 지원을 받아 수행되었습니다.
References
- Arentze, T. A. and Timmermans, H. J.(2004), "A learning-based transportation oriented simulation system", Transportation Research Part B: Methodological, vol. 38, no. 7, pp.613-633. https://doi.org/10.1016/j.trb.2002.10.001
- Babicheva, T., Cebecauer, M., Barth, D., Burghout, W. and Kloul, L.(2021), "Empty Vehicle Redistribution with Time Windows in Autonomous Taxi Systems", ACM Transactions on Data Science, vol. 2, no. 1, pp.1-22.
- Baek, K., Lee, H., Chung, J. H. and Kim, J.(2021), "Electric scooter sharing: How do people value it as a last-mile transportation mode?", Transportation Research Part D: Transport and Environment, vol. 90, 102642. https://doi.org/10.1016/j.trd.2020.102642
- Bellemans, T., Kochan, B., Janssens, D., Wets, G., Arentze, T. and Timmermans, H.(2010), "Implementation framework and development trajectory of FEATHERS activity-based simulation platform", Transportation Research Record, vol. 2175, no. 1, pp.111-119. https://doi.org/10.3141/2175-13
- Bhat, C. R., Guo, J. Y., Srinivasan, S. and Sivakumar, A.(2004), "Comprehensive econometric microsimulator for daily activity-travel patterns", Transportation Research Record, vol. 1894, no. 1, pp.57-66. https://doi.org/10.3141/1894-07
- Caggiani, L., Camporeale, R. and Ottomanelli, M.(2017), "A dynamic clustering method for relocation process in free-floating vehicle sharing systems", Transportation Research Procedia, vol. 27, pp.278-285. https://doi.org/10.1016/j.trpro.2017.12.146
- Cho, S. J., Bellemans, T., Joh, C. H. and Choi, K.(2017), "A Study on the Transport-related Impacts of Flexible Working Policy using Activity-Based Model", Journal of Korean Society of Transportation, vol. 35, no. 6, pp.511-524. https://doi.org/10.7470/jkst.2017.35.6.511
- Choi, H. J., Chung, J. H. and Kim, I. K.(2004), "A Study on Application of TRANSIMS in Korea", Journal of the Korean Society of Civil Engineers, vol. 24, no. 4D, pp.593-600.
- Eom, J. K.(2008), "Estimating travel demand by using a spatial-temporal activity presence-based approach", Journal of Korean Society of Transportation, vol. 26, no. 5, pp.163-174.
- Eom, J. K., Lee, K. S. and Seong, M. E.(2020), "Development and application of the Activity-BAsed Traveler Analyzer (ABATA) system", Future Generation Computer Systems, vol. 106, pp.135-153. https://doi.org/10.1016/j.future.2019.12.048
- Eom, J. K., Lee, K. S., Lee, J. and Moon, D. S.(2018), "Activity-Based Traveler Analyzer Using Mobile and Socioeconomic Bigdata: Case Study of Seoul in Korea", In International Conference on Big Data, Springer, Cham, June, pp.312-318.
- Guan, Y., Annaswamy, A. M. and Tseng, H. E.(2019), "Cumulative prospect theory based dynamic pricing for shared mobility on demand services", In 2019 IEEE 58th Conference on Decision and Control(CDC), December, IEEE, pp.2239-2244.
- Heikkila, S.(2014), Mobility as a service-a proposal for action for the public administration, Case Helsinki.
- Hellebuyck, A.(2019), Investigating dynamic pricing to solve the fleet rebalancing problem in bike sharing systems, Master's Thesis, Universiteit Gent.
- Horni, A., Nagel, K. and Axhausen, K. W.(2016), Introducing matsim, Ubiquity Press, pp.3-7.
- Jung, J. Y. and Chow, J.(2019), "Large-scale simulation-based evaluation of fleet repositioning strategies for dynamic rideshare in New York City", SAE Technical Paper, No. 2019-01-0924.
- Kim, K. and Lee, C. H.(2021), "A K-Means-Based Clustering Algorithm for Traffic Prediction in a Bike-Sharing System", KIPS Transactions on Software and Data Engineering, vol. 10, no. 5, pp.169-178. https://doi.org/10.3745/KTSDE.2021.10.5.169
- Kumar, P. and Khani, A.(2021), "An algorithm for integrating peer-to-peer ridesharing and schedule-based transit system for first mile/last mile access", Transportation Research Part C: Emerging Technologies, vol. 122, 102891. https://doi.org/10.1016/j.trc.2020.102891
- Lahoorpoor, B., Faroqi, H., Sadeghi-Niaraki, A. and Choi, S. M.(2019), "Spatial cluster-based model for static rebalancing bike sharing problem", Sustainability, vol. 11, no. 11, 3205. https://doi.org/10.3390/su11113205
- Lee, E. and Son, B.(2019), "Optimal rebalancing strategy for public bike-sharing system in Seoul", Journal of Korean Society of Transportation, vol. 37, no. 1, pp.27-38. https://doi.org/10.7470/jkst.2019.37.1.027
- Lei, C., Jiang, Z. and Ouyang, Y.(2019), "Path-based dynamic pricing for vehicle allocation in ridesharing systems with fully compliant drivers", Transportation Research Procedia, vol. 38, pp.77-97. https://doi.org/10.1016/j.trpro.2019.05.006
- Liu, C., Chen, C. X. and Chen, C.(2021), "META: A City-Wide Taxi Repositioning Framework Based on Multi-Agent Reinforcement Learning", IEEE Transactions on Intelligent Transportation Systems.
- Liu, Z., Li, J. and Wu, K.(2020), "Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning", IEEE Transactions on Intelligent Transportation Systems.
- Lv, C., Zhang, C., Lian, K., Ren, Y. and Meng, L.(2020), "A hybrid algorithm for the static bike-sharing re-positioning problem based on an effective clustering strategy", Transportation Research Part B: Methodological, vol. 140, pp.1-21. https://doi.org/10.1016/j.trb.2020.07.004
- Ma, G., Zhang, B., Shang, C. and Shen, Q.(2021), "Rebalancing stochastic demands for bike-sharing networks with multi-scenario characteristics", Information Sciences, vol. 554, pp.177-197. https://doi.org/10.1016/j.ins.2020.12.044
- Ma, T. Y., Rasulkhani, S., Chow, J. Y. and Klein, S.(2019), "A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers", Transportation Research Part E: Logistics and Transportation Review, vol. 128, pp.417-442. https://doi.org/10.1016/j.tre.2019.07.002
- Mohiuddin, H.(2021), "Planning for the First and Last Mile: A Review of Practices at Selected Transit Agencies in the United States", Sustainability, vol. 13, no. 4, 2222. https://doi.org/10.3390/su13042222
- Niu, K., Cheng, C., Chang, J., Zhang, H. and Zhou, T.(2018), "Real-time taxi-passenger prediction with L-CNN", IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp.4122-4129. https://doi.org/10.1109/tvt.2018.2880007
- Pan, L., Cai, Q., Fang, Z., Tang, P. and Huang, L.(2019), "A deep reinforcement learning framework for rebalancing dockless bike sharing systems", In Proceedings of the AAAI Conference on Artificial Intelligence, July, vol. 33, no. 01, pp.1393-1400.
- Park, K., Farb, A. and Chen, S.(2021), "First-/last-mile experience matters: The influence of the built environment on satisfaction and loyalty among public transit riders", Transport Policy, vol. 112, pp.32-42. https://doi.org/10.1016/j.tranpol.2021.08.003
- Qiu, H., Li, R. and Zhao, J.(2018), Dynamic pricing in shared mobility on demand service, arXiv preprint arXiv:1802.03559.
- Shaheen, S. and Chan, N.(2016), Mobility and the Sharing Economy: Potential to Overcome First-and Last-Mile Public Transit Connections, UC Berkeley: Transportation Sustainability Research Center.
- Shiv, A.(2018), Analysis of last mile transport pilot: Implementation of the model and its adaptation among local citizens, Master's Thesis, Aalto University.
- Sochor, J., Arby, H., Karlsson, I. M. and Sarasini, S.(2018), "A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals", Research in Transportation Business & Management, vol. 27, pp.3-14. https://doi.org/10.1016/j.rtbm.2018.12.003
- Stiglic, M., Agatz, N., Savelsbergh, M. and Gradisar, M.(2018), "Enhancing urban mobility: Integrating ride-sharing and public transit", Computers & Operations Research, vol. 90, pp.12-21. https://doi.org/10.1016/j.cor.2017.08.016
- Tolomei, L.(2021), Relocation strategies for e-scooter system optimization, Doctoral Dissertation, Politecnico di Torino.
- Yan, C., Zhu, H., Korolko, N. and Woodard, D.(2020), "Dynamic pricing and matching in ride hailing platforms", Naval Research Logistics(NRL), vol. 67, no. 8, pp.705-724. https://doi.org/10.1002/nav.21872
- Yoon, H. and Ki, H.(2019), "Introduction of MaaS(Mobility as a Service) Seoul", Policy Report, no. 283, The Seoul Institute.
- Zhang, J., Meng, M. and David, Z. W.(2019), "A dynamic pricing scheme with negative prices in dockless bike sharing systems", Transportation Research Part B: Methodological, vol. 127, pp.201-224. https://doi.org/10.1016/j.trb.2019.07.007
- Zhao, B., Xu, P., Shi, Y., Tong, Y., Zhou, Z. and Zeng, Y.(2019), "Preference-aware task assignment in on-demand taxi dispatching: An online stable matching approach", In Proceedings of the AAAI Conference on Artificial Intelligence, July, vol. 33, no. 01, pp.2245-2252.