{"id":"https://openalex.org/W4312500648","doi":"https://doi.org/10.1109/tcss.2022.3226177","title":"Urban Overtourism Detection Based on Graph Temporal Convolutional Networks","display_name":"Urban Overtourism Detection Based on Graph Temporal Convolutional Networks","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4312500648","doi":"https://doi.org/10.1109/tcss.2022.3226177"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2022.3226177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3226177","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5030323127","display_name":"Xiangjie Kong","orcid":"https://orcid.org/0000-0003-2698-3319"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Kong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2698-3319","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003042870","display_name":"Zhiqiang Huang","orcid":"https://orcid.org/0000-0001-7809-3241"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Huang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048752035","display_name":"Guojiang Shen","orcid":"https://orcid.org/0000-0003-1064-1250"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojiang Shen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1064-1250","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025581436","display_name":"Hang Lin","orcid":"https://orcid.org/0000-0002-5924-5163"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101704790","display_name":"Mingjie Lv","orcid":"https://orcid.org/0000-0002-4236-9952"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Lv","raw_affiliation_strings":["Research Center for Intelligent Society and Governance, Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent Society and Governance, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9282,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71625558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"442","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9944000244140625,"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":0.9944000244140625,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9894000291824341,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953281164169312},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5185259580612183},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.47906503081321716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34713995456695557},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.26809024810791016},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21631097793579102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953281164169312},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5185259580612183},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.47906503081321716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34713995456695557},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.26809024810791016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21631097793579102},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2022.3226177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3226177","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3267229679","display_name":null,"funder_award_id":"LR21F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3383391166","display_name":null,"funder_award_id":"RF-B2020001","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"},{"id":"https://openalex.org/G4211196075","display_name":null,"funder_award_id":"62073295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4794680191","display_name":null,"funder_award_id":"62072409","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1540596182","https://openalex.org/W1973749534","https://openalex.org/W1973943669","https://openalex.org/W1999110238","https://openalex.org/W2064675550","https://openalex.org/W2074949586","https://openalex.org/W2126194848","https://openalex.org/W2157270747","https://openalex.org/W2158787690","https://openalex.org/W2194775991","https://openalex.org/W2463787190","https://openalex.org/W2763884542","https://openalex.org/W2795138333","https://openalex.org/W2903871660","https://openalex.org/W2912492375","https://openalex.org/W2964015378","https://openalex.org/W2966587068","https://openalex.org/W2990045899","https://openalex.org/W3023625663","https://openalex.org/W3038246189","https://openalex.org/W3086895954","https://openalex.org/W3088611441","https://openalex.org/W3093759913","https://openalex.org/W3094858524","https://openalex.org/W3096604274","https://openalex.org/W3109476376","https://openalex.org/W3137531938","https://openalex.org/W3157414468","https://openalex.org/W3165806999","https://openalex.org/W3174093214","https://openalex.org/W3201339195","https://openalex.org/W3216070494","https://openalex.org/W4206503836","https://openalex.org/W4211213044","https://openalex.org/W4225512856","https://openalex.org/W4285228658","https://openalex.org/W4293207828","https://openalex.org/W6632267817","https://openalex.org/W6726873649","https://openalex.org/W6749825310"],"related_works":["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/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Urban":[0],"overtourism":[1,14,28,73,79,87,96,103,133,150],"results":[2,168],"in":[3],"heavy":[4],"traffic,":[5],"degraded":[6],"tourist":[7],"experiences,":[8],"and":[9,39,84,97,134],"overloaded":[10],"infrastructure.":[11],"Detecting":[12],"urban":[13,27,78,132,149],"at":[15,140],"the":[16,23,63,71,86,100,112,116,122,127,136,141,148,154,170],"early":[17],"stage":[18],"is":[19,31],"important":[20],"to":[21,36,61,76,125],"minimize":[22],"adverse":[24],"effects.":[25],"However,":[26],"detection":[29,88],"(UOD)":[30],"a":[32,50,81,92,163],"challenging":[33],"task":[34],"due":[35],"ambiguity,":[37],"sparsity,":[38],"complex":[40,128],"spatiotemporal":[41,129],"relations":[42,130],"of":[43,95,115,131,172],"overtourism.":[44],"In":[45],"this":[46],"article,":[47],"we":[48,69,110,120,146],"propose":[49,70,85],"novel":[51],"UOD":[52],"framework":[53],"based":[54,152,161],"on":[55,80,153,162],"graph":[56,123,139],"temporal":[57],"convolutional":[58],"networks":[59],"(TCNs)":[60],"tackle":[62],"challenges":[64],"mentioned":[65],"above.":[66],"More":[67],"specifically,":[68],"grid":[72,82],"mode":[74],"(GOM)":[75],"detect":[77],"level":[83],"mechanism,":[89],"which":[90],"gives":[91],"quantitative":[93],"definition":[94],"screens":[98],"out":[99],"regions":[101],"where":[102],"may":[104],"occur":[105],"as":[106],"candidate":[107,117],"regions.":[108,118],"Then,":[109],"construct":[111],"GOM":[113,138],"graphs":[114],"Next,":[119],"employ":[121],"TCNs":[124],"model":[126],"predict":[135],"future":[137],"next":[142],"time":[143],"interval.":[144],"Finally,":[145],"calculate":[147],"scores":[151],"prediction":[155],"results.":[156],"The":[157,166],"experiments":[158],"are":[159],"conducted":[160],"real-world":[164],"dataset.":[165],"evaluation":[167],"demonstrate":[169],"effectiveness":[171],"our":[173],"methods.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}