{"id":"https://openalex.org/W1987861412","doi":"https://doi.org/10.1145/2639108.2639116","title":"Exploring human mobility with multi-source data at extremely large metropolitan scales","display_name":"Exploring human mobility with multi-source data at extremely large metropolitan scales","publication_year":2014,"publication_date":"2014-09-05","ids":{"openalex":"https://openalex.org/W1987861412","doi":"https://doi.org/10.1145/2639108.2639116","mag":"1987861412"},"language":"en","primary_location":{"id":"doi:10.1145/2639108.2639116","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2639108.2639116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th annual international conference on Mobile computing and networking","raw_type":"proceedings-article"},"type":"article","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/A5100603762","display_name":"Desheng Zhang","orcid":"https://orcid.org/0000-0001-9307-8736"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Desheng Zhang","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA",", University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":", University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081625886","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0002-6862-4122"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339233","display_name":"Ye Li","orcid":"https://orcid.org/0000-0002-5351-8546"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403471","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-4974-3329"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012773300","display_name":"Chengzhong Xu","orcid":"https://orcid.org/0000-0001-9480-0356"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhong Xu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038811034","display_name":"Tian He","orcid":"https://orcid.org/0000-0001-6062-2619"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian He","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA",", University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":", University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100603762"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":22.2231,"has_fulltext":false,"cited_by_count":148,"citation_normalized_percentile":{"value":0.99407485,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"212"},"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":1.0,"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":1.0,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913617849349976},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5362657308578491},{"id":"https://openalex.org/keywords/data-source","display_name":"Data source","score":0.43174657225608826},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33118587732315063},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27245914936065674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913617849349976},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5362657308578491},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.43174657225608826},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33118587732315063},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27245914936065674}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2639108.2639116","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2639108.2639116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th annual international conference on Mobile computing and networking","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.5607","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.5607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-users.cs.umn.edu/~tianhe/Papers/mobicom-zhang.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1243689667","display_name":null,"funder_award_id":"61100220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7866365606","display_name":null,"funder_award_id":"1239226","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8263730452","display_name":null,"funder_award_id":"845994","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1973200185","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W2050123643","https://openalex.org/W2073429202","https://openalex.org/W2090978188","https://openalex.org/W2098251432","https://openalex.org/W2101823987","https://openalex.org/W2110953678","https://openalex.org/W2120453111","https://openalex.org/W2123068848","https://openalex.org/W2152204876","https://openalex.org/W2168346693","https://openalex.org/W2172211955","https://openalex.org/W4242009854"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2554282488","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Expanding":[0],"our":[1],"knowledge":[2],"about":[3],"human":[4,17,86,160,174],"mobility":[5,18,87,144,175],"is":[6],"essential":[7],"for":[8],"building":[9],"efficient":[10],"wireless":[11],"protocols":[12],"and":[13,59,78,111,138,150,158,162,190],"mobile":[14],"applications.":[15],"Previous":[16],"studies":[19],"have":[20],"typically":[21],"been":[22],"built":[23],"upon":[24,102],"empirical":[25],"single-source":[26],"data":[27,61,122,128,155],"(e.g.,":[28],"cellphone":[29,57],"or":[30,68],"transit":[31,60],"data),":[32],"which":[33],"inevitably":[34],"introduces":[35],"a":[36,80,121,143,186],"bias":[37],"against":[38],"residents":[39,55,65],"not":[40],"contributing":[41],"this":[42,74],"type":[43],"of":[44,94,106,113,126,177],"data,":[45],"e.g.,":[46],"call":[47],"detail":[48],"records":[49],"cannot":[50,62],"be":[51],"obtained":[52],"from":[53,130],"the":[54,64,103,148,153,173,178],"without":[56],"activities,":[58],"cover":[63],"who":[66],"walk":[67],"ride":[69],"private":[70],"vehicles.":[71],"To":[72],"address":[73],"issue,":[75],"we":[76],"propose":[77],"implement":[79],"novel":[81],"architecture":[82],"mPat":[83,95,114,184],"to":[84,156,167],"explore":[85],"using":[88],"multi-source":[89,154],"data.":[90],"A":[91],"reference":[92],"implementation":[93],"was":[96],"developed":[97],"at":[98],"an":[99,164],"unprecedented":[100],"scale":[101],"urban":[104,169],"infrastructures":[105],"Shenzhen,":[107],"China.":[108],"The":[109,180],"novelty":[110],"uniqueness":[112],"lie":[115],"in":[116],"its":[117,192],"three":[118],"layers:":[119],"(i)":[120],"feed":[123],"layer":[124,146,166],"consisting":[125],"real-time":[127],"feeds":[129],"24":[131],"thousand":[132],"vehicles,":[133],"16":[134],"million":[135,140],"smart":[136],"cards":[137],"10":[139],"cellphones;":[141],"(ii)":[142],"abstraction":[145],"exploring":[147],"correlation":[149],"divergence":[151],"among":[152],"analyze":[157],"infer":[159],"mobility;":[161],"(iii)":[163],"application":[165,194],"improve":[168],"efficiency":[170],"based":[171],"on":[172],"findings":[176],"study.":[179],"evaluation":[181],"shows":[182],"that":[183,191],"achieves":[185],"75%":[187],"inference":[188],"accuracy,":[189],"real-world":[193],"reduces":[195],"passenger":[196],"travel":[197],"time":[198],"by":[199],"36%.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}