{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T21:24:15Z","timestamp":1781731455352,"version":"3.54.5"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031059803","type":"print"},{"value":"9783031059810","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-05981-0_27","type":"book-chapter","created":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T12:02:50Z","timestamp":1652097770000},"page":"338-352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["User Incentive Based Bike-Sharing Dispatching Strategy"],"prefix":"10.1007","author":[{"given":"Bing","family":"Shi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoxiang","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xizi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianqiao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,5,10]]},"reference":[{"issue":"4","key":"27_CR1","doi-asserted-by":"publisher","first-page":"41","DOI":"10.5038\/2375-0901.12.4.3","volume":"12","author":"P Demaio","year":"2009","unstructured":"Demaio, P.: Bike-sharing: history, impacts, models of provision, and future. J. Public Transp. 12(4), 41\u201356 (2009)","journal-title":"J. Public Transp."},{"key":"27_CR2","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1613\/jair.5308","volume":"58","author":"S Ghosh","year":"2017","unstructured":"Ghosh, S., Varakantham, P., Adulyasak, Y., et al.: Dynamic repositioning to reduce lost demand in bike sharing systems. J. Artif. Intell. Res. 58, 387\u2013430 (2017)","journal-title":"J. Artif. Intell. Res."},{"issue":"16","key":"27_CR3","doi-asserted-by":"publisher","first-page":"7227","DOI":"10.3390\/app11167227","volume":"11","author":"X Zheng","year":"2021","unstructured":"Zheng, X., Tang, M., Liu, Y., et al.: Repositioning bikes with carrier vehicles and bike trailers in bike sharing systems. Appl. Sci. 11(16), 7227 (2021)","journal-title":"Appl. Sci."},{"issue":"12","key":"27_CR4","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.3390\/su8121299","volume":"8","author":"L Li","year":"2016","unstructured":"Li, L., Shan, M.: Bidirectional incentive model for bicycle redistribution of a bicycle sharing system during rush hour. Sustainability 8(12), 1299 (2016)","journal-title":"Sustainability"},{"key":"27_CR5","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.trpro.2017.03.016","volume":"22","author":"R Svenja","year":"2017","unstructured":"Svenja, R., Klaus, B.: A relocation strategy for Munich\u2019s bike sharing system: combining an operator-based and a user-based scheme. Transp. Res. Procedia 22, 105\u2013114 (2017)","journal-title":"Transp. Res. Procedia"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Aeschbach, P., Zhang, X., Georghiou, A., et al.: Balancing bike sharing systems through customer cooperation - a case study on London\u2019s Barclays Cycle Hire. In: The 54th IEEE Conference on Decision and Control, pp. 4722\u20134727 (2015)","DOI":"10.1109\/CDC.2015.7402955"},{"issue":"8","key":"27_CR7","doi-asserted-by":"publisher","first-page":"2396","DOI":"10.3390\/su11082396","volume":"11","author":"S Ban","year":"2019","unstructured":"Ban, S., Hyun, K.H.: Designing a user participation-based bike rebalancing service. Sustainability 11(8), 2396 (2019)","journal-title":"Sustainability"},{"issue":"01","key":"27_CR8","first-page":"1393","volume":"33","author":"P Ling","year":"2019","unstructured":"Ling, P., Cai, Q., Fang, Z., et al.: A deep reinforcement learning framework for rebalancing dockless bike sharing systems. AAAI Conf. Artif. Intell. 33(01), 1393\u20131400 (2019)","journal-title":"AAAI Conf. Artif. Intell."},{"issue":"13","key":"27_CR9","first-page":"11844","volume":"35","author":"J Huang","year":"2021","unstructured":"Huang, J., Chou, M.C., Teo, C.P.: Bike-repositioning using volunteers: crowd sourcing with choice restriction. AAAI Conf. Artif. Intell. 35(13), 11844\u201311852 (2021)","journal-title":"AAAI Conf. Artif. Intell."},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Duan, Y., Wu, J.: optimizing rebalance scheme for dock-less bike sharing systems with adaptive user incentive. In: The 20th IEEE International Conference on Mobile Data Management, pp. 176\u2013181 (2019)","DOI":"10.1109\/MDM.2019.00-59"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Caggiani, L., Camporeale, R., Marinelli, M., et al.: User satisfaction based model for resource allocation in bike-sharing systems. Transport Policy, pp. 117\u2013126 (2019)","DOI":"10.1016\/j.tranpol.2018.03.003"},{"key":"27_CR12","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. Advances in Neural Information Processing Systems, pp. 3104\u20133112 (2014)"},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Singla, A., Santoni, M., Bart\u00f3k, G., et al.: Incentivizing users for balancing bike sharing systems. In: The 29th AAAI Conference on Artificial Intelligence, pp. 723\u2013729 (2015)","DOI":"10.1609\/aaai.v29i1.9251"},{"key":"27_CR14","unstructured":"Lillicrap, T.P., Hunt, J.J., Pritzel, A., et al.: Continuous control with deep reinforcement learning. In: The 4th International Conference on Learning Representations (2016)"},{"issue":"1","key":"27_CR15","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1137\/0105003","volume":"5","author":"J Munkres","year":"1957","unstructured":"Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5(1), 32\u201338 (1957)","journal-title":"J. Soc. Ind. Appl. Math."},{"issue":"12","key":"27_CR16","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.14778\/2994509.2994523","volume":"9","author":"Y Tong","year":"2016","unstructured":"Tong, Y., She, J., Ding, B., et al.: Online minimum matching in real-time spatial data: experiments and analysis. VLDB Endowm. 9(12), 1053\u20131064 (2016)","journal-title":"VLDB Endowm."}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-05981-0_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:41:20Z","timestamp":1710337280000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-05981-0_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031059803","9783031059810"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-05981-0_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chengdu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/pakdd.net\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"558","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"121","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.75","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6.45","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}