{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:51:02Z","timestamp":1760151062430,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T00:00:00Z","timestamp":1644451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Zhi Cai","award":["No.4212016"],"award-info":[{"award-number":["No.4212016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>In recent years, with the development of various types of public transportation, they are also more and more closely connected. Among them, subway transportation has become the first choice of major cities. However, the planning of subway stations is very difficult and there are many factors to consider. Besides, few methods for selecting optimal station locations take other public transport in to consideration. In order to study the relationship between different types of public transportation, the authors collected and analyzed the travel data of subway passengers and the passenger trajectory data of taxis. In this paper, a method based on LeaderRank and Gaussian Mixed Model (GMM) is proposed to conduct subway station locations selection. In this method, the author builds a subway-passenger traffic zone weighted network and a station location prediction model. First, we evaluate the nodes in the network, then use the GPS track data of taxis to predict the location of new stations in future subway construction, and analyze and discuss the land use characteristics in the prediction area. Taking the design of the Beijing subway line as an example, the suitability of this method is illustrated.<\/jats:p>","DOI":"10.3390\/ijgi11020126","type":"journal-article","created":{"date-parts":[[2022,2,11]],"date-time":"2022-02-11T02:35:51Z","timestamp":1644546951000},"page":"126","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Novel Trajectory Based Prediction Method for Urban Subway Design"],"prefix":"10.3390","volume":"11","author":[{"given":"Zhi","family":"Cai","sequence":"first","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"}]},{"given":"Jiawei","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8881-0037","authenticated-orcid":false,"given":"Tong","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6305-5565","authenticated-orcid":false,"given":"Bowen","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4214-3363","authenticated-orcid":false,"given":"Xing","family":"Su","sequence":"additional","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"}]},{"given":"Limin","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"}]},{"given":"Zhiming","family":"Ding","sequence":"additional","affiliation":[{"name":"College of Computer Science, Beijing University of Technology, Beijing 100124, China"},{"name":"Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data, Chinese Academy of Sciences, Beijing 100144, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Li, M., Dong, L., Shen, Z., Lang, W., and Ye, X. (2017). Examining the Interaction of Taxi and Subway Ridership for Sustainable Urbanization. Sustainability, 9.","DOI":"10.3390\/su9020242"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1716","DOI":"10.1109\/TITS.2014.2371815","article-title":"Taxi-RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data","volume":"16","author":"Xu","year":"2015","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Mazimpaka, J.D., and Timpf, S. (2015). Exploring the Potential of Combining Taxi GPS and Flickr Data for Discovering Functional Regions, Springer International Publishing.","DOI":"10.1007\/978-3-319-16787-9_1"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s40864-017-0054-4","article-title":"Rail Transportation Lead Urban Form Change: A Case Study of Beijing","volume":"3","author":"Zhang","year":"2017","journal-title":"Urban Rail Transit"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"e5332","DOI":"10.1002\/cpe.5332","article-title":"Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in Beijing","volume":"33","author":"Liu","year":"2021","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Croce, A., Musolino, G., Rindone, C., and Vitetta, A. (2021). Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters\u2019 Calibration. Sustainability, 13.","DOI":"10.3390\/su13168838"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.apgeog.2017.07.001","article-title":"Street as a big geo-data assembly and analysis unit in urban studies: A case study using Beijing taxi data","volume":"86","author":"Zhu","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ibrahim, R., and Shafiq, M.O. (2018, January 24\u201326). Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips. Proceedings of the Thirteenth International Conference on Digital Information Management (ICDIM 2018), Berlin, Germany.","DOI":"10.1109\/ICDIM.2018.8847135"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Comi, A., Rossolov, A., Polimeni, A., and Nuzzolo, A. (2021). Private Car O-D Flow Estimation Based on Automated Vehicle Monitoring Data: Theoretical Issues and Empirical Evidence. Information, 12.","DOI":"10.3390\/info12120493"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3981845","DOI":"10.1155\/2018\/3981845","article-title":"Exploring the Intermodal Relationship between Taxi and Subway in Beijing, China","volume":"2018","author":"Jiang","year":"2018","journal-title":"J. Adv. Transp."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Zhang, J., Lai, T., Fan, Z., and Huang, B. (2017, January 13\u201316). A Real-Time Bus Transfer Scheme Recommendation Systems. Proceedings of the International Conference on Advanced Cloud & Big Data, Shanghai, China.","DOI":"10.1109\/CBD.2017.43"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1360\/972013-1280","article-title":"Review of ranking nodes in complex networks","volume":"59","author":"Ren","year":"2014","journal-title":"Chin. Sci. Bull."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1038\/nphys1746","article-title":"Identification of influential spreaders in complex networks","volume":"6","author":"Kitsak","year":"2010","journal-title":"Nat. Phys."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"L\u00fc, L., Zhang, Y.C., Yeung, C.H., and Zhou, T. (2011). Leaders in Social Networks, the Delicious Case. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0021202"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.ijepes.2018.09.034","article-title":"Electrical LeaderRank method for node importance evaluation of power grids considering uncertainties of renewable energy","volume":"106","author":"Zhou","year":"2019","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"101517","DOI":"10.1016\/j.frl.2020.101517","article-title":"An empirical evaluation of the influential nodes for stock market network: Chinese A-shares case","volume":"38","author":"Huang","year":"2020","journal-title":"Financ. Res. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.eswa.2018.02.021","article-title":"Identifying influential individuals in microblogging networks using graph partitioning","volume":"102","author":"Huang","year":"2018","journal-title":"Expert Syst. Appl."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.physa.2014.02.041","article-title":"Identifying influential spreaders by weighted LeaderRank","volume":"404","author":"Li","year":"2014","journal-title":"Phys. Stat. Mech. Its Appl."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1061\/JEEGAV.0000909","article-title":"Discussion of environmental optimization of power lines by Economides and Sharifi","volume":"105","author":"Church","year":"1979","journal-title":"J. Environ. Eng. Div. ASCE"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1002\/atr.5670290202","article-title":"Locating rapid transit lines","volume":"29","author":"Gendreau","year":"2010","journal-title":"J. Adv. Transp."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1080\/0308106042000226899","article-title":"Optimization of bus stop locations for improving transit accessibility","volume":"27","author":"Chien","year":"2004","journal-title":"Transp. Plan. Technol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1061\/(ASCE)0733-9488(1999)125:4(135)","article-title":"Transportation\/Land-Use Relationship: Public Transit\u2019s Impact on Land Use","volume":"125","author":"Polzin","year":"1999","journal-title":"J. Urban Plan. Dev."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Cascetta, E. (2009). Transportation Systems Analysis: Models and Applications, Springer.","DOI":"10.1007\/978-0-387-75857-2"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"6518329","DOI":"10.1155\/2018\/6518329","article-title":"Passenger Mobility in a Discontinuous Space: Modelling Access\/Egress to Maritime Barrier in a Case Study","volume":"2018","author":"Birgillito","year":"2018","journal-title":"J. Adv. Transp."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.tranpol.2016.04.004","article-title":"Density-oriented versus development-oriented transit investment: Decoding metro station location selection in Shenzhen","volume":"51","author":"Yang","year":"2016","journal-title":"Transp. Policy"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Xue, W., Wei, W., and Nazif, H. (2021). A public transport network design using a hidden Markov model and an optimization algorithm. Res. Transp. Econ., 101095. in press.","DOI":"10.1016\/j.retrec.2021.101095"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Kr\u00f3l, A., and Kr\u00f3l, M. (2019). The Design of a Metro Network Using a Genetic Algorithm. Appl. Sci., 9.","DOI":"10.3390\/app9030433"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"036106","DOI":"10.1103\/PhysRevE.67.036106","article-title":"Small-world properties of the Indian Railway network","volume":"67","author":"Sen","year":"2002","journal-title":"Phys. Rev. Stat. Nonlinear Soft Matter Phys."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"Dempster","year":"1977","journal-title":"J. R. Stat. Soc."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/11\/2\/126\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:17:50Z","timestamp":1760134670000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/11\/2\/126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,10]]},"references-count":29,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["ijgi11020126"],"URL":"https:\/\/doi.org\/10.3390\/ijgi11020126","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2022,2,10]]}}}