{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:49:39Z","timestamp":1742978979685,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819944019"},{"type":"electronic","value":"9789819944026"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-4402-6_29","type":"book-chapter","created":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T23:02:45Z","timestamp":1690412565000},"page":"399-413","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Generating Transportation Network Datasets for\u00a0Benchmarking Maritime Location-Based Services: A Preliminary Approach"],"prefix":"10.1007","author":[{"given":"Jiali","family":"Yao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongpeng","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,27]]},"reference":[{"key":"29_CR1","doi-asserted-by":"publisher","unstructured":"Amaral, L.A.N., Scala, A., Barth\u00e9l\u00e9my, M., Stanley, H.E.: Classes of small-world networks. Proc. Nat. Acad. Sci. 97(21), 11149\u201311152 (2000). https:\/\/doi.org\/10.1073\/pnas.200327197, https:\/\/www.pnas.org\/doi\/abs\/10.1073\/pnas.200327197","DOI":"10.1073\/pnas.200327197"},{"key":"29_CR2","unstructured":"Graser, A., Schmidt, J., Dragaschnig, M., Widhalm, P.: Data-driven trajectory prediction and spatial variability of prediction performance in maritime location based services. In: LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services\/Gartner, Georg; Huang, Haosheng. Wien (2019)"},{"key":"29_CR3","doi-asserted-by":"publisher","unstructured":"Hartigan, P.: Transport and processing of perishable information: essential infrastructure for location based services. In: Third International Conference on 3G Mobile Communication Technologies, pp. 345\u2013349 (2002). https:\/\/doi.org\/10.1049\/cp:20020417","DOI":"10.1049\/cp:20020417"},{"key":"29_CR4","doi-asserted-by":"publisher","unstructured":"He, X., Cormode, G., Machanavajjhala, A., Procopiuc, C.M., Srivastava, D.: DPT: differentially private trajectory synthesis using hierarchical reference systems. Proc. VLDB Endow. 8(11), 1154\u20131165 (2015). https:\/\/doi.org\/10.14778\/2809974.2809978","DOI":"10.14778\/2809974.2809978"},{"key":"29_CR5","unstructured":"Hu, W., et al.: Open graph benchmark: Datasets for machine learning on graphs. In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H. (eds.) Advances in Neural Information Processing Systems, vol. 33, pp. 22118\u201322133. Curran Associates, Inc. (2020)"},{"key":"29_CR6","doi-asserted-by":"publisher","unstructured":"Hu, Y., Zhu, D.: Empirical analysis of the worldwide maritime transportation network. Phys. A: Stat. Mech. Appl. 388(10), 2061\u20132071 (2009). https:\/\/doi.org\/10.1016\/j.physa.2008.12.016, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378437108010273","DOI":"10.1016\/j.physa.2008.12.016"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Karrer, B., Newman, M.E.J.: Stochastic blockmodels and community structure in networks. Phys. Rev. E Stat. Nonlinear, Soft Matter Phys. 83 1 Pt 2, 016107 (2010)","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"29_CR8","doi-asserted-by":"publisher","unstructured":"Kim, J.W., Jang, B.: Deep learning-based privacy-preserving framework for synthetic trajectory generation. J. Netw. Comput. Appl. 206, 103459 (2022). https:\/\/doi.org\/10.1016\/j.jnca.2022.103459, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1084804522001096","DOI":"10.1016\/j.jnca.2022.103459"},{"issue":"1","key":"29_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s41109-019-0232-2","volume":"4","author":"C Lee","year":"2019","unstructured":"Lee, C., Wilkinson, D.J.: A review of stochastic block models and extensions for graph clustering. Appl. Netw. Sci. 4(1), 1\u201350 (2019). https:\/\/doi.org\/10.1007\/s41109-019-0232-2","journal-title":"Appl. Netw. Sci."},{"issue":"1","key":"29_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0029721","volume":"7","author":"D Levinson","year":"2012","unstructured":"Levinson, D.: Network structure and city size. PLOS ONE 7(1), 1\u201311 (2012). https:\/\/doi.org\/10.1371\/journal.pone.0029721","journal-title":"PLOS ONE"},{"issue":"11","key":"29_CR11","doi-asserted-by":"publisher","first-page":"7977","DOI":"10.1109\/TII.2022.3165886","volume":"18","author":"RW Liu","year":"2022","unstructured":"Liu, R.W., et al.: Stmgcn: mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multigraph convolutional network. IEEE Trans. Industr. Inf. 18(11), 7977\u20137987 (2022). https:\/\/doi.org\/10.1109\/TII.2022.3165886","journal-title":"IEEE Trans. Industr. Inf."},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Notteboom*, T.E., Rodrigue, J.P.: Port regionalization: towards a new phase in port development. Marit. Policy Manag. 32(3), 297\u2013313 (2005)","DOI":"10.1080\/03088830500139885"},{"key":"29_CR13","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/S0966-6923(98)00010-6","volume":"6","author":"ME O\u2019Kelly","year":"1998","unstructured":"O\u2019Kelly, M.E.: A geographer\u2019s analysis of hub-and-spoke network. J. Transp. Geogr. 6, 171\u2013186 (1998)","journal-title":"J. Transp. Geogr."},{"key":"29_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/978-3-642-40994-3_49","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"N Pelekis","year":"2013","unstructured":"Pelekis, N., Ntrigkogias, C., Tampakis, P., Sideridis, S., Theodoridis, Y.: Hermoupolis: A trajectory generator for simulating generalized mobility patterns. In: Blockeel, H., Kersting, K., Nijssen, S., \u017delezn\u00fd, F. (eds.) ECML PKDD 2013. LNCS, pp. 659\u2013662. Springer, Berlin Heidelberg, Berlin, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40994-3_49"},{"issue":"1","key":"29_CR15","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1080\/03088839800000043","volume":"25","author":"R Robinson","year":"1998","unstructured":"Robinson, R.: Asian hub\/feeder nets: the dynamics of restructuring. Marit. Policy Manag. 25(1), 21\u201340 (1998). https:\/\/doi.org\/10.1080\/03088839800000043","journal-title":"Marit. Policy Manag."},{"issue":"1","key":"29_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10708-008-9210-4","volume":"74","author":"JP Rodrigue","year":"2009","unstructured":"Rodrigue, J.P., Notteboom, T.: The geography of containerization: half a century of revolution, adaptation and diffusion. GeoJournal 74(1), 1\u20135 (2009). https:\/\/doi.org\/10.1007\/s10708-008-9210-4","journal-title":"GeoJournal"},{"key":"29_CR17","doi-asserted-by":"publisher","unstructured":"Sen, P., Dasgupta, S., Chatterjee, A., Sreeram, P.A., Mukherjee, G., Manna, S.S.: Small-world properties of the Indian railway network. Phys. Rev. E 67, 036106 (2003). https:\/\/doi.org\/10.1103\/PhysRevE.67.036106, https:\/\/link.aps.org\/doi\/10.1103\/PhysRevE.67.036106","DOI":"10.1103\/PhysRevE.67.036106"},{"issue":"1","key":"29_CR18","doi-asserted-by":"publisher","first-page":"126","DOI":"10.6339\/21-JDS1004","volume":"19","author":"X Wang","year":"2021","unstructured":"Wang, X., Liu, X., Lu, Z., Yang, H.: Large scale GPS trajectory generation using map based on two stage GAN. J. Data Sci. 19(1), 126\u2013141 (2021). https:\/\/doi.org\/10.6339\/21-JDS1004","journal-title":"J. Data Sci."},{"key":"29_CR19","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1086\/jar.33.4.3629752","volume":"33","author":"W Zachary","year":"1976","unstructured":"Zachary, W.: An information flow model for conflict and fission in small groups1. J. Anthropol. Res. 33, 452\u2013473 (1976). https:\/\/doi.org\/10.1086\/jar.33.4.3629752","journal-title":"J. Anthropol. Res."},{"issue":"2","key":"29_CR20","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MITS.2019.2903431","volume":"11","author":"J Zhao","year":"2019","unstructured":"Zhao, J., Gao, Y., Bai, Z., Wang, H., Lu, S.: Traffic speed prediction under non-recurrent congestion: based on LSTM method and BeiDou navigation satellite system data. IEEE Intell. Transp. Syst. Mag. 11(2), 70\u201381 (2019). https:\/\/doi.org\/10.1109\/MITS.2019.2903431","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"29_CR21","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/OJITS.2022.3233904","volume":"4","author":"M Zhong","year":"2023","unstructured":"Zhong, M., Kim, J., Zheng, Z.: Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approach. IEEE Open J. Intell. Transp. Syst. 4, 14\u201329 (2023). https:\/\/doi.org\/10.1109\/OJITS.2022.3233904","journal-title":"IEEE Open J. Intell. Transp. Syst."}],"container-title":["Communications in Computer and Information Science","Service Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-4402-6_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T23:05:33Z","timestamp":1690412733000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-4402-6_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819944019","9789819944026"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-4402-6_29","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"27 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Service Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Harbin","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icss22023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.ccf.org.cn\/ICSS2023","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"71","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":"36","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":"2","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":"51% - 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","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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}