{"id":"https://openalex.org/W2803304669","doi":"https://doi.org/10.1109/tkde.2018.2837027","title":"Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data","display_name":"Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data","publication_year":2018,"publication_date":"2018-05-15","ids":{"openalex":"https://openalex.org/W2803304669","doi":"https://doi.org/10.1109/tkde.2018.2837027","mag":"2803304669"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2018.2837027","doi":"https://doi.org/10.1109/tkde.2018.2837027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2837027","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-a","cwts-core","dongbi-a","fnege-3","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024","observed_orcids":["https://orcid.org/0000-0002-1767-8024"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO"],"raw_orcid":"https://orcid.org/0000-0002-1767-8024","affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607490","display_name":"Guannan Liu","orcid":"https://orcid.org/0000-0002-4532-7109","observed_orcids":["https://orcid.org/0000-0002-4532-7109","https://orcid.org/0009-0009-6336-0891"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Liu","raw_affiliation_strings":["Beihang University, Beijing, 100083, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-4532-7109","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, 100083, P.R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744165","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0001-8094-4180","observed_orcids":["https://orcid.org/0000-0001-8094-4180"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Ge","raw_affiliation_strings":["University of Arizona, Tucson, AZ"],"raw_orcid":"https://orcid.org/0000-0001-8094-4180","affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036270316","display_name":"Pengyang Wang","orcid":"https://orcid.org/0000-0003-3961-5523","observed_orcids":["https://orcid.org/0000-0003-3961-5523","https://orcid.org/0009-0009-7808-042X"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengyang Wang","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO"],"raw_orcid":"https://orcid.org/0000-0003-3961-5523","affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X","observed_orcids":["https://orcid.org/0000-0003-4570-643X"]},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Research, Sunnyvale, CA"],"raw_orcid":"https://orcid.org/0000-0003-4570-643X","affiliations":[{"raw_affiliation_string":"Baidu Research, Sunnyvale, CA","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459271","display_name":"Chunxiao Li","orcid":"https://orcid.org/0000-0002-2863-7180","observed_orcids":["https://orcid.org/0000-0002-2863-7180"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Li","raw_affiliation_strings":["Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465","observed_orcids":["https://orcid.org/0000-0001-6016-6465","https://orcid.org/0000-0002-4665-9850","https://orcid.org/0000-0001-5759-3001"]},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.732,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92202825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"31","issue":"3","first_page":"535","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collective-learning","display_name":"collective learning","score":0.8149999976158142},{"id":"https://openalex.org/keywords/urban-form","display_name":"urban form","score":0.7059999704360962},{"id":"https://openalex.org/keywords/residential-communities","display_name":"residential communities","score":0.9850000143051147},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"point of interest","score":0.7689999938011169},{"id":"https://openalex.org/keywords/latent-representation-learning","display_name":"latent representation learning","score":0.7990000247955322},{"id":"https://openalex.org/keywords/lasso-regularization","display_name":"LASSO regularization","score":0.9380000233650208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804337739944458},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6088763475418091},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5845868587493896},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5104019045829773},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4694642126560211},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.44799959659576416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4366593360900879},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4286292493343353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3687124252319336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3557322919368744},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14341214299201965},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2018.2837027","doi":"https://doi.org/10.1109/tkde.2018.2837027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2837027","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-a","cwts-core","dongbi-a","fnege-3","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":1.0}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W108274833","https://openalex.org/W1546477643","https://openalex.org/W1561752229","https://openalex.org/W1845798005","https://openalex.org/W1903787972","https://openalex.org/W1976094288","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W1988134474","https://openalex.org/W1990444226","https://openalex.org/W1990589796","https://openalex.org/W1992323181","https://openalex.org/W1992402576","https://openalex.org/W2012580531","https://openalex.org/W2032576386","https://openalex.org/W2056451973","https://openalex.org/W2075892055","https://openalex.org/W2077451659","https://openalex.org/W2101626488","https://openalex.org/W2108862644","https://openalex.org/W2112738128","https://openalex.org/W2115240023","https://openalex.org/W2115584760","https://openalex.org/W2116597564","https://openalex.org/W2118152081","https://openalex.org/W2127860643","https://openalex.org/W2139846410","https://openalex.org/W2156114095","https://openalex.org/W2172211955","https://openalex.org/W2285984879","https://openalex.org/W2293355662","https://openalex.org/W2295787074","https://openalex.org/W2400255467","https://openalex.org/W2467530212","https://openalex.org/W2528040708","https://openalex.org/W3105669253","https://openalex.org/W3125842917","https://openalex.org/W4248863881","https://openalex.org/W4289866267"],"related_works":["https://openalex.org/W2794518829","https://openalex.org/W2901188091","https://openalex.org/W1936264711","https://openalex.org/W2774646783","https://openalex.org/W2583189593","https://openalex.org/W2946691003","https://openalex.org/W2344461354","https://openalex.org/W2973211136","https://openalex.org/W4416187280","https://openalex.org/W2945319864"],"abstract_inverted_index":{"Human":[0,48],"mobility":[1,24,110,118],"data":[2,25],"refers":[3],"to":[4,44,68,180],"records":[5],"of":[6,82,148,162,167,200,209],"human":[7,23],"movements,":[8],"such":[9,30],"as":[10,31,115,120,136,145],"cellphone":[11],"traces,":[12],"vehicle":[13],"GPS":[14],"trajectories,":[15],"geo-tagged":[16],"posts,":[17],"and":[18,37,77,108,117,129,164,172,188,214],"photos.":[19],"While":[20],"successfully":[21],"mining":[22],"can":[26,154],"benefit":[27],"many":[28],"applications":[29,217],"city":[32],"planning,":[33],"transportation,":[34],"urban":[35,80,104,157],"economics,":[36],"public":[38],"safety,":[39],"it":[40],"is":[41],"very":[42],"challenging":[43],"model":[45,69],"large-scale":[46],"Heterogeneous":[47],"Mobility":[49],"Data":[50],"(HHMD)":[51],"that":[52],"are":[53],"generated":[54],"from":[55,170],"different":[56],"resources.":[57],"In":[58,150],"this":[59,151],"paper,":[60],"we":[61,96,123,153,193],"develop":[62],"a":[63,137,160,198],"general":[64],"collective":[65],"learning":[66,135],"approach":[67],"HHMD":[70],"at":[71],"an":[72],"individual":[73],"level":[74],"towards":[75],"identifying":[76],"quantifying":[78],"the":[79,99,146,156,207],"forms":[81],"residential":[83,102,168],"communities.":[84,149],"Specifically,":[85],"our":[86,210],"proposed":[87,211],"method":[88,213],"exploits":[89],"two":[90,182],"geographic":[91],"regularities":[92],"among":[93,101],"HHMD.":[94],"First,":[95],"jointly":[97],"capture":[98],"correlations":[100],"communities,":[103],"functions,":[105],"temporal":[106],"effects,":[107],"user":[109],"patterns":[111,119],"by":[112,140],"analogizing":[113,141],"communities":[114,169],"documents":[116],"words.":[121],"Also,":[122],"further":[124,175],"combine":[125],"explicit":[126],"LASSO":[127],"analysis":[128],"significant":[130],"testing":[131],"into":[132],"latent":[133],"representation":[134],"regularization":[138],"term":[139],"compatible":[142],"Point-of-Interests":[143],"(POIs)":[144],"meta-data":[147],"way,":[152],"learn":[155],"forms,":[158],"including":[159],"mix":[161],"functions":[163],"corresponding":[165],"portfolios,":[166],"HHDM":[171],"POIs.":[173],"We":[174],"leverage":[176],"these":[177],"learned":[178],"results":[179,205],"address":[181],"application":[183],"problems:":[184],"real":[185],"estate":[186],"ranking":[187],"restaurant":[189],"popularity":[190],"prediction.":[191],"Finally,":[192],"conduct":[194],"intensive":[195],"evaluations":[196],"with":[197],"variety":[199],"real-world":[201],"data,":[202],"where":[203],"experimental":[204],"demonstrate":[206],"effectiveness":[208],"modeling":[212],"its":[215],"successful":[216],"for":[218],"other":[219],"problems.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-06-01T00:00:00"}