{"id":"https://openalex.org/W4394698446","doi":"https://doi.org/10.1109/tetci.2024.3372420","title":"Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network","display_name":"Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network","publication_year":2024,"publication_date":"2024-04-10","ids":{"openalex":"https://openalex.org/W4394698446","doi":"https://doi.org/10.1109/tetci.2024.3372420"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3372420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3372420","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5100705864","display_name":"Heli Sun","orcid":"https://orcid.org/0000-0003-0818-0301"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heli Sun","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104278778","display_name":"Ruirui Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruirui Xue","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053952675","display_name":"Tingting Hu","orcid":"https://orcid.org/0009-0001-7121-8483"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Hu","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039885799","display_name":"Tengfei Pan","orcid":"https://orcid.org/0009-0001-7909-1181"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Pan","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101469086","display_name":"Liang He","orcid":"https://orcid.org/0000-0002-6463-5158"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026575438","display_name":"Yuan Rao","orcid":"https://orcid.org/0000-0001-5658-6678"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Rao","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077846188","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0003-1389-0068"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103108855","display_name":"Yingxue Wang","orcid":"https://orcid.org/0000-0003-2270-3519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingxue Wang","raw_affiliation_strings":["National Engineering Research Center for Public Safety Risk Perception and Control by Big Data, China Academic of Electronics and Information Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Public Safety Risk Perception and Control by Big Data, China Academic of Electronics and Information Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109703935","display_name":"Yuan Chen","orcid":"https://orcid.org/0009-0002-6435-2796"},"institutions":[{"id":"https://openalex.org/I4210120069","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Chen","raw_affiliation_strings":["Information Center of Ministry of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information Center of Ministry of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210120069"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101468136","display_name":"Hui He","orcid":"https://orcid.org/0009-0005-5801-6608"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui He","raw_affiliation_strings":["Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100705864"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.5575,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63012175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"8","issue":"5","first_page":"3703","last_page":"3715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9035000205039978,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5008292198181152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3294273614883423},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32934558391571045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5008292198181152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3294273614883423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32934558391571045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3372420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3372420","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4481951867","display_name":null,"funder_award_id":"2022GY-332","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G7247189908","display_name":null,"funder_award_id":"62072365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8126848880","display_name":null,"funder_award_id":"2024GX-YBXM-533","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G8257816019","display_name":null,"funder_award_id":"2023-YBGY-230","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1968060540","https://openalex.org/W1977153226","https://openalex.org/W2034258124","https://openalex.org/W2064675550","https://openalex.org/W2085592822","https://openalex.org/W2112738128","https://openalex.org/W2135604164","https://openalex.org/W2150010190","https://openalex.org/W2510692038","https://openalex.org/W2528639018","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2910892140","https://openalex.org/W2921532413","https://openalex.org/W2950817888","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W2998436408","https://openalex.org/W2998559444","https://openalex.org/W2999045768","https://openalex.org/W2999301586","https://openalex.org/W3015379812","https://openalex.org/W3015553263","https://openalex.org/W3015712039","https://openalex.org/W3016546268","https://openalex.org/W3020398622","https://openalex.org/W3096604274","https://openalex.org/W3102272367","https://openalex.org/W3103720336","https://openalex.org/W3124426233","https://openalex.org/W3127304128","https://openalex.org/W3193349278","https://openalex.org/W3210458411","https://openalex.org/W4298069447","https://openalex.org/W4320731531","https://openalex.org/W4323042646","https://openalex.org/W6680532697","https://openalex.org/W6719327675"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Citywide":[0],"crowd":[1,109],"flow":[2,110],"prediction":[3,100,195,209],"is":[4,40,80,126,199,211],"an":[5],"important":[6,92],"problem":[7,35],"for":[8],"traffic":[9],"control,":[10],"risk":[11],"assessment,":[12],"and":[13,27,46,52,60,94,102,153,194,207],"public":[14],"safety,":[15],"especially":[16],"in":[17,111,202],"critical":[18,112,137],"areas.":[19,138],"However,":[20],"the":[21,25,28,70,91,104,108,120,130,136,140,154,171,176,208],"large":[22],"scale":[23],"of":[24,57,62,142,156],"city":[26],"interactions":[29],"between":[30,72],"multiple":[31],"regions":[32,74],"make":[33],"this":[34],"more":[36],"challenging.":[37],"Furthermore,":[38],"it":[39],"impacted":[41],"by":[42,150,162],"temporal":[43,131,158],"closeness,":[44],"period,":[45],"trend":[47],"features.":[48],"Besides,":[49],"geographic":[50,143],"information":[51,144],"meta-features,":[53],"such":[54],"as":[55],"periods":[56],"a":[58,63,116],"day":[59],"days":[61],"week":[64],"also":[65],"affect":[66],"spatio-temporal":[67,146,178],"correlation.":[68,83,179],"Simultaneously,":[69],"influence":[71],"different":[73,157],"will":[75],"change":[76],"over":[77],"time,":[78],"which":[79,134],"called":[81],"dynamic":[82,95,177],"We":[84],"concentrate":[85],"on":[86,145],"how":[87],"to":[88,98,128,174],"concurrently":[89],"model":[90,189],"features":[93,159],"spatial":[96],"correlation":[97,147],"increase":[99],"accuracy":[101,196,203],"simplify":[103],"problem.":[105],"To":[106],"forecast":[107],"areas,":[113],"we":[114,169],"propose":[115],"two-step":[117],"framework.":[118],"First,":[119],"grid":[121],"density":[122],"peak":[123],"clustering":[124],"algorithm":[125],"used":[127],"set":[129],"attenuation":[132],"factor,":[133],"selects":[135],"Then,":[139],"effects":[141,155],"are":[148,160],"modeled":[149],"graph":[151,163],"embedding":[152],"represented":[161],"convolutional":[164],"neural":[165],"networks.":[166],"In":[167],"addition,":[168],"use":[170],"multi-attention":[172],"mechanism":[173],"capture":[175],"On":[180],"two":[181],"real":[182],"datasets,":[183],"experimental":[184],"results":[185],"show":[186],"that":[187],"our":[188],"can":[190],"balance":[191],"time":[192],"complexity":[193],"well.":[197],"It":[198],"20%":[200],"better":[201,212],"than":[204,213],"other":[205],"baselines,":[206],"speed":[210],"most":[214],"models.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
