[1] García-Palomares J C, Gutiérrez J, Latorre M. Optimizing the location of stations in bike-sharing programs: A GIS approach[J]. Applied Geography (S0143-6228), 2012, 35(1-2): 235-246. [2] Lin J R, Yang T H.Strategic design of public bicycle sharing systems with service level constraints[J]. Transportation Research Part E (S1366-5545), 2011, 47(2): 294. [3] Chen L, Zhang D, Pan G, et al.Bike Sharing Station Placement Leveraging Heterogeneous Urban Open Data[C]. UBICOMP '15. Osaka, Japan: ACM, 2015: 571-575. [4] Liu J, Sun L, Chen W, et al.Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization[C]. Acm Sigkdd International Conference on Knowledge Discovery & Data Mining. San Francisco, CA, USA: ACM, 2016: 1005-1014. [5] O'Mahony E, Shmoys D B. Data Analysis and Optimization for (Citi) Bike Sharing[C]. Twenty-ninth Aaai Conference on Artificial Intelligence. Austin, Texas, USA: AAAI Press, 2015: 687-694. [6] Fricker C, Gast N.Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity[J]. EURO Journal on Transportation and Logistics (S2192-4376), 2016, 5(3): 261-291. [7] Santoni M, Santoni M, Meenen M, et al.Incentivizing users for balancing bike sharing systems[C]. Twenty-ninth Aaai Conference on Artificial Intelligence. Austin, Texas, USA: AAAI Press, 2015: 723-729. [8] Chen L, Zhang D, Wang L, et al.Dynamic cluster-based over-demand prediction in bike sharing systems[C]. Acm International Joint Conference on Pervasive & Ubiquitous Computing. Heidelberg, Germany: ACM, 2016: 841-852. [9] Li Y, Zheng Y, Zhang H, et al.Traffic prediction in a bike-sharing system[C]. the 23rd SIGSPATIAL International Conference. Seattle, Washington: ACM, 2015: 1-10. [10] Froehlich J, Neumann J, Oliver N.Sensing and Predicting the Pulse of the City through Shared Bicycling[C]. IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009. DBLP, 2009: 1420-1426. [11] Gast N, Massonnet G, Reijsbergen D, et al.Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning[C]. The 24th ACM International Conference on Information and Knowledge Management, CIKM. Melbourne, Australia: ACM, 2015: 703-712. [12] Hoang M X, Zheng Y, Singh A K.FCCF: forecasting citywide crowd flows based on big data[C]. The 24th ACM SIGSPATIAL International Conference. Burlingame, California: ACM, 2016: 1-10. [13] Yang Z, Hu J, Shu Y, et al.Mobility Modeling and Prediction in Bike-Sharing Systems[C]. The 14th Annual International Conference. Singapore: ACM, 2016: 165-178. [14] Dill J, Voros K.Factors Affecting Bicycling Demand: Initial Survey Findings from the Portland, Oregon, Region[J]. Transportation Research Record: Journal of the Transportation Research Board (S0361-1981), 2007, 2031: 9-17. [15] Gebhart K, Noland R B.The impact of weather conditions on bikeshare trips in Washington, DC[J]. Transportation (S1572-9435), 2014, 41(6): 1205-1225. [16] Borgnat P, Abry P, Flandrin P, et al.Shared bicycles in a city: a signal processing and data analysis perspective[J]. Advances in Complex Systems (S0219-5259), 2011, 14(3): 1100295. [17] Faghihimani A, Eluru N.Analyzing Destination Choice Preferences in Bicycle Sharing Systems: An Investigation of Chicago’s Divvy System[J]. Transportation Research Board Annual Meeting (S1073-1652), 2015, 6270: 20. [18] Seddighi H R, Theocharous A L.A model of tourism destination choice: A theoretical and empirical analysis[J]. Tourism Management (S0261-5177), 2002, 23(5): 475-487. [19] Pan L, Cai Q, Fang Z, et al.A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems[C]. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). Honolulu, Hawaii, USA: AAAI Press, 2019: 1393-1400. [20] Liu Z, Shen Y, Zhu Y.Inferring Dockless Shared Bike Distribution in New Cities[C]. Eleventh Acm International Conference on Web Search & Data Mining. Marina Del Rey, CA, USA: ACM, 2018: 378-386. [21] Li G, Reis S D S, Moreira A A, et al. Towards design principles for optimal transport networks[J]. Physical Review Letters (S0031-9007), 2010, 104(1): 018701. |