{"id":"https://openalex.org/W3021173937","doi":"https://doi.org/10.1109/tvcg.2020.2992200","title":"UrbanMotion: Visual Analysis of Metropolitan-Scale Sparse Trajectories","display_name":"UrbanMotion: Visual Analysis of Metropolitan-Scale Sparse Trajectories","publication_year":2020,"publication_date":"2020-05-04","ids":{"openalex":"https://openalex.org/W3021173937","doi":"https://doi.org/10.1109/tvcg.2020.2992200","mag":"3021173937","pmid":"https://pubmed.ncbi.nlm.nih.gov/32386157"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.2992200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.2992200","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100658547","display_name":"Lei Shi","orcid":"https://orcid.org/0009-0000-6050-0144"},"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":true,"raw_author_name":"Lei Shi","raw_affiliation_strings":["SKLSDE and Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1965-2602","affiliations":[{"raw_affiliation_string":"SKLSDE and Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102730408","display_name":"Congcong Huang","orcid":"https://orcid.org/0000-0002-2971-8978"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congcong Huang","raw_affiliation_strings":["SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101571323","display_name":"Meijun Liu","orcid":null},"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":"Meijun Liu","raw_affiliation_strings":["SKLSDE and Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLSDE and Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045006366","display_name":"Yan Jia","orcid":"https://orcid.org/0000-0002-8282-8105"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Yan","raw_affiliation_strings":["SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648260","display_name":"Tao Jiang","orcid":"https://orcid.org/0000-0001-8221-0674"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jiang","raw_affiliation_strings":["SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8221-0674","affiliations":[{"raw_affiliation_string":"SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024028370","display_name":"Zhihao Tan","orcid":"https://orcid.org/0000-0002-6777-708X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Tan","raw_affiliation_strings":["SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLCS, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708726","display_name":"Yifan Hu","orcid":"https://orcid.org/0000-0003-2017-924X"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Hu","raw_affiliation_strings":["Yahoo Labs, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2017-924X","affiliations":[{"raw_affiliation_string":"Yahoo Labs, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344494","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-8365-4741"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8365-4741","affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082275076","display_name":"Xiatian Zhang","orcid":"https://orcid.org/0000-0003-0228-6359"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiatian Zhang","raw_affiliation_strings":["Beijing Tendcloud Tianxia Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Tendcloud Tianxia Technology Co., Ltd, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100658547"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":4.9435,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9445765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":"10","first_page":"3881","last_page":"3899"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.8013952374458313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624677419662476},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.731410026550293},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7272821664810181},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6469907760620117},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6066338419914246},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5094011425971985},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48468688130378723},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4730583429336548},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45080018043518066},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.42430227994918823},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4218651056289673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3801825940608978},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.19041040539741516},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14934593439102173}],"concepts":[{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.8013952374458313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624677419662476},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.731410026550293},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7272821664810181},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6469907760620117},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6066338419914246},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5094011425971985},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48468688130378723},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4730583429336548},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45080018043518066},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.42430227994918823},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4218651056289673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3801825940608978},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.19041040539741516},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14934593439102173},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2020.2992200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.2992200","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:32386157","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32386157","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5047629933","display_name":null,"funder_award_id":"U1609217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8388974342","display_name":null,"funder_award_id":"61772504","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W54893867","https://openalex.org/W56164328","https://openalex.org/W108067688","https://openalex.org/W117683186","https://openalex.org/W1506583902","https://openalex.org/W1514900972","https://openalex.org/W1537940195","https://openalex.org/W1566585832","https://openalex.org/W1605476884","https://openalex.org/W1663973292","https://openalex.org/W1673310716","https://openalex.org/W1737853022","https://openalex.org/W1870353999","https://openalex.org/W1899829068","https://openalex.org/W1912056476","https://openalex.org/W1969301519","https://openalex.org/W1971751574","https://openalex.org/W1980799317","https://openalex.org/W1990776069","https://openalex.org/W2013452503","https://openalex.org/W2021705019","https://openalex.org/W2023289472","https://openalex.org/W2023846135","https://openalex.org/W2044145621","https://openalex.org/W2056638635","https://openalex.org/W2060793167","https://openalex.org/W2062037128","https://openalex.org/W2075364600","https://openalex.org/W2076111524","https://openalex.org/W2081813350","https://openalex.org/W2085009188","https://openalex.org/W2088061407","https://openalex.org/W2090227767","https://openalex.org/W2090747210","https://openalex.org/W2095759957","https://openalex.org/W2108230739","https://openalex.org/W2113298739","https://openalex.org/W2124145056","https://openalex.org/W2129449798","https://openalex.org/W2130438374","https://openalex.org/W2133136052","https://openalex.org/W2133946031","https://openalex.org/W2135822894","https://openalex.org/W2139892394","https://openalex.org/W2143021593","https://openalex.org/W2145005733","https://openalex.org/W2145022515","https://openalex.org/W2145132952","https://openalex.org/W2148420803","https://openalex.org/W2150908758","https://openalex.org/W2152670036","https://openalex.org/W2153553545","https://openalex.org/W2153940791","https://openalex.org/W2154969126","https://openalex.org/W2161587450","https://openalex.org/W2166279335","https://openalex.org/W2332401067","https://openalex.org/W2341937654","https://openalex.org/W2344489012","https://openalex.org/W2462625002","https://openalex.org/W2495571292","https://openalex.org/W2508837977","https://openalex.org/W2510576630","https://openalex.org/W2530516535","https://openalex.org/W2739457923","https://openalex.org/W2750749591","https://openalex.org/W4210813334","https://openalex.org/W4212863985","https://openalex.org/W6602249480","https://openalex.org/W6604775290","https://openalex.org/W6630675754","https://openalex.org/W6633953636","https://openalex.org/W6636268392","https://openalex.org/W6637131181","https://openalex.org/W6704181020"],"related_works":["https://openalex.org/W2062940763","https://openalex.org/W2186032312","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2080934634","https://openalex.org/W4246764483","https://openalex.org/W2126824079","https://openalex.org/W2143428259","https://openalex.org/W2112083262","https://openalex.org/W4378086562"],"abstract_inverted_index":{"Visualizing":[0],"massive":[1],"scale":[2],"human":[3],"movement":[4,59],"in":[5,11,170,194],"cities":[6,19],"plays":[7],"an":[8],"important":[9],"role":[10],"solving":[12],"many":[13],"of":[14,40,50,142,174,191],"the":[15,48,70,113,143,171,187],"problems":[16],"that":[17,37,92,111],"modern":[18],"face":[20],"(e.g.,":[21],"traffic":[22],"optimization,":[23],"business":[24,180],"site":[25,181],"configuration).":[26],"In":[27,69],"this":[28],"article,":[29],"we":[30],"study":[31,184],"a":[32,74,107],"big":[33],"mobile":[34,90],"location":[35],"dataset":[36],"covers":[38],"millions":[39],"city":[41],"residents,":[42],"but":[43],"is":[44],"temporally":[45],"sparse":[46,54,79],"on":[47],"trajectory":[49,80],"individual":[51],"user.":[52],"Mapping":[53],"trajectories":[55,87,144],"to":[56,133,196],"illustrate":[57],"population":[58,124,127,137],"poses":[60],"several":[61],"challenges":[62],"from":[63,89,139],"both":[64],"analysis":[65],"and":[66,126,135,151,156,166,179,189],"visualization":[67],"perspectives.":[68],"literature,":[71],"there":[72],"are":[73,131,154],"few":[75],"techniques":[76],"designed":[77],"for":[78,201],"visualization;":[81],"yet":[82],"they":[83],"do":[84],"not":[85],"consider":[86],"collected":[88,167],"apps":[91],"possess":[93],"long-tailed":[94,147],"sparsity":[95],"with":[96],"record":[97],"intervals":[98],"as":[99,101],"long":[100],"hours.":[102],"This":[103],"article":[104],"introduces":[105],"UrbanMotion,":[106],"visual":[108],"analytics":[109,199],"system":[110,193],"extends":[112],"original":[114],"wind":[115],"map":[116],"design":[117],"by":[118],"supporting":[119],"map-matched":[120],"local":[121],"movements,":[122],"multi-directional":[123],"flows,":[125],"distributions.":[128],"Effective":[129],"methods":[130],"proposed":[132],"extract":[134],"aggregate":[136],"movements":[138],"dense":[140],"parts":[141],"leveraging":[145],"their":[146],"sparsity.":[148],"Both":[149],"characteristic":[150],"anomalous":[152],"patterns":[153],"discovered":[155],"visualized.":[157],"We":[158],"conducted":[159],"three":[160],"case":[161],"studies,":[162],"one":[163],"comparative":[164],"experiment,":[165],"expert":[168],"feedback":[169],"application":[172],"domains":[173],"commuting":[175],"analysis,":[176],"event":[177],"detection,":[178],"configuration.":[182],"The":[183],"result":[185],"demonstrates":[186],"significance":[188],"effectiveness":[190],"our":[192],"helping":[195],"complete":[197],"key":[198],"tasks":[200],"urban":[202],"users.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
