{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:26:00Z","timestamp":1750220760675,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T00:00:00Z","timestamp":1579219200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,1,17]]},"DOI":"10.1145\/3379310.3379319","type":"proceedings-article","created":{"date-parts":[[2020,3,29]],"date-time":"2020-03-29T09:41:57Z","timestamp":1585474917000},"page":"157-164","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Spatio-temporal Network for Demand Prediction of Electric Vehicle Sharing Systems"],"prefix":"10.1145","author":[{"given":"Qin","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Software Engineering, Tongji University, Shanghai, China"}]},{"given":"Hongming","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Tongji University, Shanghai, China"}]},{"given":"Yi","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Tongji University, Shanghai, China"}]},{"given":"Qin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Tongji University and Tsingtao Advanced Research Institute, Tongji University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2020,3,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the Pattern Recognition and Machine Intelligence. 6th International Conference, PReMI 2015","author":"Abughali I. K. A.","year":"1994","unstructured":"Abughali , I. K. A. and Minz , S . 2015. Binarizing Change for Fast Trend Similarity Based Clustering of Time Series Data . In Proceedings of the Pattern Recognition and Machine Intelligence. 6th International Conference, PReMI 2015 . Springer International Publishing, Cham, Switzerland, 257--267. DOI= http:\/\/dx.doi.org\/10.1007\/978-3-319- 1994 1-2_25. 10.1007\/978-3-319-19941-2_25 Abughali, I. K. A. and Minz, S. 2015. Binarizing Change for Fast Trend Similarity Based Clustering of Time Series Data. In Proceedings of the Pattern Recognition and Machine Intelligence. 6th International Conference, PReMI 2015. Springer International Publishing, Cham, Switzerland, 257--267. DOI= http:\/\/dx.doi.org\/10.1007\/978-3-319-19941-2_25."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2017.1372762"},{"key":"#cr-split#-e_1_3_2_1_3_1.1","doi-asserted-by":"crossref","unstructured":"Alfian G. Rhee J. Ijaz M. F. Syafrudin M. and Fitriyani N. L. 2017. Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing. Applied Sciences 7 6 (06\/ 2017) 598 (522 pp.). DOI= http:\/\/dx.doi.org\/10.3390\/app7060598. 10.3390\/app7060598","DOI":"10.3390\/app7060598"},{"key":"#cr-split#-e_1_3_2_1_3_1.2","doi-asserted-by":"crossref","unstructured":"Alfian G. Rhee J. Ijaz M. F. Syafrudin M. and Fitriyani N. L. 2017. Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing. Applied Sciences 7 6 (06\/ 2017) 598 (522 pp.). DOI= http:\/\/dx.doi.org\/10.3390\/app7060598.","DOI":"10.3390\/app7060598"},{"key":"e_1_3_2_1_4_1","volume-title":"Switzerland: A spatial regression and conditional logit approach. Transport Res C-Emer, 81 (Aug","author":"Becker H.","year":"2017","unstructured":"Becker , H. , Ciari , F. and Axhausen , K. W . 2017 . Modeling free-floating car-sharing use in Switzerland: A spatial regression and conditional logit approach. Transport Res C-Emer, 81 (Aug 2017), 286--299. DOI= http:\/\/dx.doi.org\/10.1016\/j.trc.2017.06.008. 10.1016\/j.trc.2017.06.008 Becker, H., Ciari, F. and Axhausen, K. W. 2017. Modeling free-floating car-sharing use in Switzerland: A spatial regression and conditional logit approach. Transport Res C-Emer, 81 (Aug 2017), 286--299. DOI= http:\/\/dx.doi.org\/10.1016\/j.trc.2017.06.008."},{"key":"#cr-split#-e_1_3_2_1_5_1.1","doi-asserted-by":"crossref","unstructured":"Boldrini C. Incaini R. and Bruno R. 2017. Relocation in Car Sharing Systems with Shared Stackable Vehicles: Modelling Challenges and Outlook. In Proceedings of the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (Yokohama Japan 2017). IEEE Piscataway NJ USA 2017. DOI= http:\/\/dx.doi.org\/10.1109\/ITSC.2017.8317752. 10.1109\/ITSC.2017.8317752","DOI":"10.1109\/ITSC.2017.8317752"},{"key":"#cr-split#-e_1_3_2_1_5_1.2","doi-asserted-by":"crossref","unstructured":"Boldrini C. Incaini R. and Bruno R. 2017. Relocation in Car Sharing Systems with Shared Stackable Vehicles: Modelling Challenges and Outlook. In Proceedings of the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (Yokohama Japan 2017). IEEE Piscataway NJ USA 2017. DOI= http:\/\/dx.doi.org\/10.1109\/ITSC.2017.8317752.","DOI":"10.1109\/ITSC.2017.8317752"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.07.020"},{"key":"#cr-split#-e_1_3_2_1_7_1.1","doi-asserted-by":"crossref","unstructured":"Boyaci B. Zografos K. G. and Geroliminis N. 2017. An integrated optimization-simulation framework for vehicle and personnel relocations of electric carsharing systems with reservations. Transportation Research Part B: Methodological 95 (01\/ 2017) 214--237. DOI= http:\/\/dx.doi.org\/10.1016\/j.trb.2016.10.007. 10.1016\/j.trb.2016.10.007","DOI":"10.1016\/j.trb.2016.10.007"},{"key":"#cr-split#-e_1_3_2_1_7_1.2","doi-asserted-by":"crossref","unstructured":"Boyaci B. Zografos K. G. and Geroliminis N. 2017. An integrated optimization-simulation framework for vehicle and personnel relocations of electric carsharing systems with reservations. Transportation Research Part B: Methodological 95 (01\/ 2017) 214--237. DOI= http:\/\/dx.doi.org\/10.1016\/j.trb.2016.10.007.","DOI":"10.1016\/j.trb.2016.10.007"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41324-017-0122-6"},{"key":"#cr-split#-e_1_3_2_1_9_1.1","doi-asserted-by":"crossref","unstructured":"Gambella C. Malaguti E. Masini F. and Vigo D. 2018. Optimizing relocation operations in electric car-sharing. Omega-Int J Manage S 81 (Dec 2018) 234--245. DOI= http:\/\/dx.doi.org\/10.1016\/j.omega.2017.11.007. 10.1016\/j.omega.2017.11.007","DOI":"10.1016\/j.omega.2017.11.007"},{"key":"#cr-split#-e_1_3_2_1_9_1.2","doi-asserted-by":"crossref","unstructured":"Gambella C. Malaguti E. Masini F. and Vigo D. 2018. Optimizing relocation operations in electric car-sharing. Omega-Int J Manage S 81 (Dec 2018) 234--245. DOI= http:\/\/dx.doi.org\/10.1016\/j.omega.2017.11.007.","DOI":"10.1016\/j.omega.2017.11.007"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_11_1","first-page":"25","volume-title":"Transp Res Proc","author":"Hui Y.","year":"2017","unstructured":"Hui , Y. , Ding , M. T. , Qian , C. , Wang , W. and Xu , Q . 2017. Research on the operational characteristics of car sharing service stations: A case study of a car sharing program in Hangzhou . Transp Res Proc , 25 ( 2017 ). DOI= http:\/\/doi.acm.org\/10.1016\/j.trpro.2017.05.352. Hui, Y., Ding, M. T., Qian, C., Wang, W. and Xu, Q. 2017. Research on the operational characteristics of car sharing service stations: A case study of a car sharing program in Hangzhou. Transp Res Proc, 25 (2017). DOI= http:\/\/doi.acm.org\/10.1016\/j.trpro.2017.05.352."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015. Association for Computing Machinery","author":"Li Y.","year":"2078","unstructured":"Li , Y. , Zheng , Y. , Zhang , H. and Chen , L . 2015. Traffic prediction in a bike-sharing system . In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015. Association for Computing Machinery , New York, NY, DOI= http:\/\/dx.doi.org\/10.1145\/28 2078 3.2820837. 10.1145\/2820783.2820837 Li, Y., Zheng, Y., Zhang, H. and Chen, L. 2015. Traffic prediction in a bike-sharing system. In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015. Association for Computing Machinery, New York, NY, DOI= http:\/\/dx.doi.org\/10.1145\/2820783.2820837."},{"volume-title":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017. Association for Computing Machinery, 957--966","author":"Liu J.","key":"e_1_3_2_1_13_1","unstructured":"Liu , J. , Sun , L. , Li , Q. , Ming , J. , Liu , Y. and Xiong , H . 2017. Functional zone based hierarchical demand prediction for bike system expansion . In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017. Association for Computing Machinery, 957--966 . DOI= http:\/\/dx.doi.org\/10.1145\/3097983.3098180. 10.1145\/3097983.3098180 Liu, J., Sun, L., Li, Q., Ming, J., Liu, Y. and Xiong, H. 2017. Functional zone based hierarchical demand prediction for bike system expansion. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017. Association for Computing Machinery, 957--966. DOI= http:\/\/dx.doi.org\/10.1145\/3097983.3098180."},{"volume-title":"Proceedings of the 11th ACM International Conference on Web Search and Data Mining, WSDM 2018. Association for Computing Machinery","author":"Liu Z.","key":"e_1_3_2_1_14_1","unstructured":"Liu , Z. , Shen , Y. and Zhu , Y . 2018. Inferring dockless shared bike distribution in new cities . In Proceedings of the 11th ACM International Conference on Web Search and Data Mining, WSDM 2018. Association for Computing Machinery , New York, NY, 378--386. DOI= http:\/\/dx.doi.org\/10.1145\/3159652.3159708. 10.1145\/3159652.3159708 Liu, Z., Shen, Y. and Zhu, Y. 2018. Inferring dockless shared bike distribution in new cities. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining, WSDM 2018. Association for Computing Machinery, New York, NY, 378--386. DOI= http:\/\/dx.doi.org\/10.1145\/3159652.3159708."},{"key":"#cr-split#-e_1_3_2_1_15_1.1","doi-asserted-by":"crossref","unstructured":"Mounce R. and Nelson J. D. 2019. On the potential for one-way electric vehicle car-sharing in future mobility systems. Transport Res a-Pol 120 (Feb 2019) 17--30. DOI= http:\/\/dx.doi.org\/10.1016\/j.tra.2018.12.003. 10.1016\/j.tra.2018.12.003","DOI":"10.1016\/j.tra.2018.12.003"},{"key":"#cr-split#-e_1_3_2_1_15_1.2","doi-asserted-by":"crossref","unstructured":"Mounce R. and Nelson J. D. 2019. On the potential for one-way electric vehicle car-sharing in future mobility systems. Transport Res a-Pol 120 (Feb 2019) 17--30. DOI= http:\/\/dx.doi.org\/10.1016\/j.tra.2018.12.003.","DOI":"10.1016\/j.tra.2018.12.003"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.2991\/icseee-16.2016.104"},{"key":"e_1_3_2_1_17_1","first-page":"10","volume-title":"Proceedings of the 2017 Smart City Symposium Prague (Scsp). IEEE","author":"Pagani A.","unstructured":"Pagani , A. , Bruschi , F. and Rana , V . 2017. Knowledge Discovery from Car Sharing Data for Traffic Flows Estimation . In Proceedings of the 2017 Smart City Symposium Prague (Scsp). IEEE , Piscataway, NJ, USA, 6 pp. DOI= http:\/\/doi.org\/ 10 .1109\/SCSP.2017.7973845. 10.1109\/SCSP.2017.7973845 Pagani, A., Bruschi, F. and Rana, V. 2017. Knowledge Discovery from Car Sharing Data for Traffic Flows Estimation. In Proceedings of the 2017 Smart City Symposium Prague (Scsp). IEEE, Piscataway, NJ, USA, 6 pp. DOI= http:\/\/doi.org\/10.1109\/SCSP.2017.7973845."},{"key":"#cr-split#-e_1_3_2_1_18_1.1","doi-asserted-by":"crossref","unstructured":"Pei-Chann C. Jheng-Long W. Yahui X. Min Z. and Xiao-Yong L. 2019. Bike sharing demand prediction using artificial immune system and artificial neural network. Soft Computing 23 2 (01\/30-2019) 613--626. DOI= http:\/\/dx.doi.org\/10.1007\/s00500-017-2909-8. 10.1007\/s00500-017-2909-8","DOI":"10.1007\/s00500-017-2909-8"},{"key":"#cr-split#-e_1_3_2_1_18_1.2","doi-asserted-by":"crossref","unstructured":"Pei-Chann C. Jheng-Long W. Yahui X. Min Z. and Xiao-Yong L. 2019. Bike sharing demand prediction using artificial immune system and artificial neural network. Soft Computing 23 2 (01\/30-2019) 613--626. DOI= http:\/\/dx.doi.org\/10.1007\/s00500-017-2909-8.","DOI":"10.1007\/s00500-017-2909-8"},{"volume-title":"Proceedings of the 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 5","author":"Po-Chuan C.","key":"e_1_3_2_1_19_1","unstructured":"Po-Chuan , C. , He-Yen , H. , Sigalingging , X. K. , Yan-Ru , C. and Jenq-Shiou , L . 2017. Prediction of Station Level Demand in a Bike Sharing System Using Recurrent Neural Networks . In Proceedings of the 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 5 pp. DOI= http:\/\/dx.doi.org\/10.1109\/VTCSpring.2017.8108575. 10.1109\/VTCSpring.2017.8108575 Po-Chuan, C., He-Yen, H., Sigalingging, X. K., Yan-Ru, C. and Jenq-Shiou, L. 2017. Prediction of Station Level Demand in a Bike Sharing System Using Recurrent Neural Networks. In Proceedings of the 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 5 pp. DOI= http:\/\/dx.doi.org\/10.1109\/VTCSpring.2017.8108575."},{"volume-title":"Proceedings of the 29th Annual Conference on Neural Information Processing Systems, NIPS 2015. Neural information processing systems foundation, 802--810","author":"Shi X.","key":"e_1_3_2_1_20_1","unstructured":"Shi , X. , Chen , Z. , Wang , H. , Yeung , D.-Y. , Wong , W.-K. and Woo , W . -C. 2015. Convolutional LSTM network: A machine learning approach for precipitation nowcasting . In Proceedings of the 29th Annual Conference on Neural Information Processing Systems, NIPS 2015. Neural information processing systems foundation, 802--810 . Shi, X., Chen, Z., Wang, H., Yeung, D.-Y., Wong, W.-K. and Woo, W.-C. 2015. Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In Proceedings of the 29th Annual Conference on Neural Information Processing Systems, NIPS 2015. Neural information processing systems foundation, 802--810."},{"key":"#cr-split#-e_1_3_2_1_21_1.1","doi-asserted-by":"crossref","unstructured":"Shuo L. Haiquan W. Chen Y. Bowen D. Runxing Z. and Runhe H. 2017. Forecasting car rental demand based temporal and spatial travel patterns. In Proceedings of the 2017 IEEE SmartWorld Ubiquitous Intelligence & Computing Advanced & Trusted Computed Scalable Computing & Communications Cloud & Big Data Computing Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI). IEEE Piscataway NJ USA 8 pp. DOI= http:\/\/dx.doi.org\/10.1109\/UIC-ATC.2017.8397484. 10.1109\/UIC-ATC.2017.8397484","DOI":"10.1109\/UIC-ATC.2017.8397484"},{"key":"#cr-split#-e_1_3_2_1_21_1.2","doi-asserted-by":"crossref","unstructured":"Shuo L. Haiquan W. Chen Y. Bowen D. Runxing Z. and Runhe H. 2017. Forecasting car rental demand based temporal and spatial travel patterns. In Proceedings of the 2017 IEEE SmartWorld Ubiquitous Intelligence & Computing Advanced & Trusted Computed Scalable Computing & Communications Cloud & Big Data Computing Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI). IEEE Piscataway NJ USA 8 pp. DOI= http:\/\/dx.doi.org\/10.1109\/UIC-ATC.2017.8397484.","DOI":"10.1109\/UIC-ATC.2017.8397484"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2018.8444588"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317917"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the 2nd International Conference on Communications and Cyber-Physical Engineering, ICCCE","author":"Wagle S.","year":"2019","unstructured":"Wagle , S. , Uttamani , S. , Dsouza , S. and Devadkar , K . 2019. Predicting Surface Air Temperature Using Convolutional Long Short-Term Memory Networks . In Proceedings of the 2nd International Conference on Communications and Cyber-Physical Engineering, ICCCE 2019 . Springer Verlag, 183--188. DOI= http:\/\/dx.doi.org\/10.1007\/978-981-13-8715-9_23. 10.1007\/978-981-13-8715-9_23 Wagle, S., Uttamani, S., Dsouza, S. and Devadkar, K. 2019. Predicting Surface Air Temperature Using Convolutional Long Short-Term Memory Networks. In Proceedings of the 2nd International Conference on Communications and Cyber-Physical Engineering, ICCCE 2019. Springer Verlag, 183--188. DOI= http:\/\/dx.doi.org\/10.1007\/978-981-13-8715-9_23."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018. Association for Computing Machinery","author":"Yuan Z.","year":"1981","unstructured":"Yuan , Z. , Zhou , X. and Yang , T . 2018. Hetero-ConvLSTM: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data . In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018. Association for Computing Machinery , New York, NY, 984--992. DOI= http:\/\/dx.doi.org\/10.1145\/32 1981 9.3219922. 10.1145\/3219819.3219922 Yuan, Z., Zhou, X. and Yang, T. 2018. Hetero-ConvLSTM: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018. Association for Computing Machinery, New York, NY, 984--992. DOI= http:\/\/dx.doi.org\/10.1145\/3219819.3219922."},{"volume-title":"Proceedings of the 11th ACM International Conference on Web Search and Data Mining, WSDM 2018. Association for Computing Machinery, 736--744","author":"Zhou X.","key":"e_1_3_2_1_26_1","unstructured":"Zhou , X. , Shen , Y. , Zhu , Y. and Huang , L . 2018. Predicting multi-step citywide passenger demands using attention-based neural networks . In Proceedings of the 11th ACM International Conference on Web Search and Data Mining, WSDM 2018. Association for Computing Machinery, 736--744 . DOI= http:\/\/dx.doi.org\/10.1145\/3159652.3159682. 10.1145\/3159652.3159682 Zhou, X., Shen, Y., Zhu, Y. and Huang, L. 2018. Predicting multi-step citywide passenger demands using attention-based neural networks. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining, WSDM 2018. Association for Computing Machinery, 736--744. DOI= http:\/\/dx.doi.org\/10.1145\/3159652.3159682."}],"event":{"name":"APIT 2020: 2020 2nd Asia Pacific Information Technology Conference","acronym":"APIT 2020","location":"Bali Island Indonesia"},"container-title":["Proceedings of the 2020 2nd Asia Pacific Information Technology Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3379310.3379319","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3379310.3379319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:02Z","timestamp":1750200062000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3379310.3379319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,17]]},"references-count":33,"alternative-id":["10.1145\/3379310.3379319","10.1145\/3379310"],"URL":"https:\/\/doi.org\/10.1145\/3379310.3379319","relation":{},"subject":[],"published":{"date-parts":[[2020,1,17]]},"assertion":[{"value":"2020-03-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}