{"id":"https://openalex.org/W4323022510","doi":"https://doi.org/10.1109/mis.2023.3250600","title":"MFGCN: A Multimodal Fusion Graph Convolutional Network for Online Car-Hailing Demand Prediction","display_name":"MFGCN: A Multimodal Fusion Graph Convolutional Network for Online Car-Hailing Demand Prediction","publication_year":2023,"publication_date":"2023-03-02","ids":{"openalex":"https://openalex.org/W4323022510","doi":"https://doi.org/10.1109/mis.2023.3250600"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2023.3250600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2023.3250600","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent 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/A5037780024","display_name":"Lyuchao Liao","orcid":"https://orcid.org/0000-0001-5337-9083"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lyuchao Liao","raw_affiliation_strings":["Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355587","display_name":"Ben Li","orcid":"https://orcid.org/0000-0003-1069-3608"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Li","raw_affiliation_strings":["Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101747184","display_name":"Fumin Zou","orcid":"https://orcid.org/0000-0002-4234-1861"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Zou","raw_affiliation_strings":["Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037230435","display_name":"Dejuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejuan Huang","raw_affiliation_strings":["Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037780024"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":1.574,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80324982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"38","issue":"3","first_page":"21","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9990000128746033,"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":0.8413325548171997},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6234034895896912},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5282928943634033},{"id":"https://openalex.org/keywords/taxis","display_name":"Taxis","score":0.5156963467597961},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5124133229255676},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4787287414073944},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4739801287651062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43451637029647827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41637828946113586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3677329421043396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23403257131576538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413325548171997},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6234034895896912},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5282928943634033},{"id":"https://openalex.org/C183373512","wikidata":"https://www.wikidata.org/wiki/Q949618","display_name":"Taxis","level":2,"score":0.5156963467597961},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5124133229255676},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4787287414073944},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4739801287651062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43451637029647827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41637828946113586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3677329421043396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23403257131576538},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2023.3250600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2023.3250600","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"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 Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1354500092","display_name":null,"funder_award_id":"61304199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2015268736","display_name":null,"funder_award_id":"2020D002","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"},{"id":"https://openalex.org/G2928725106","display_name":null,"funder_award_id":"41971340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3457145488","display_name":null,"funder_award_id":"2019I0019","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"},{"id":"https://openalex.org/G5010278465","display_name":null,"funder_award_id":"41471333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6285416034","display_name":null,"funder_award_id":"2021Y4019","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"},{"id":"https://openalex.org/G8039379669","display_name":null,"funder_award_id":"2020L3014","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2004353783","https://openalex.org/W2135046866","https://openalex.org/W2165991108","https://openalex.org/W2295598076","https://openalex.org/W2519887557","https://openalex.org/W2528639018","https://openalex.org/W2572939427","https://openalex.org/W2782920454","https://openalex.org/W2901504064","https://openalex.org/W2904832339","https://openalex.org/W2946160394","https://openalex.org/W2947812485","https://openalex.org/W2964015378","https://openalex.org/W3089044119","https://openalex.org/W3091801004","https://openalex.org/W3107128980","https://openalex.org/W3133663379","https://openalex.org/W3178811037","https://openalex.org/W3210639084","https://openalex.org/W4241050402","https://openalex.org/W4285182450"],"related_works":["https://openalex.org/W2731640799","https://openalex.org/W3145095895","https://openalex.org/W2594548639","https://openalex.org/W4387544810","https://openalex.org/W2978498151","https://openalex.org/W2782837293","https://openalex.org/W1946755446","https://openalex.org/W2388377527","https://openalex.org/W565532978","https://openalex.org/W2897012299"],"abstract_inverted_index":{"The":[0,83],"rapid":[1],"growth":[2],"of":[3,21,36,48,61,86],"online":[4,24,26,80],"car":[5],"hailing":[6],"provides":[7],"an":[8],"excellent":[9],"opportunity":[10],"to":[11,101],"provide":[12],"convenient":[13],"travel":[14],"services.":[15],"However,":[16],"with":[17,66],"the":[18,34,46,59,133,148],"tremendous":[19],"increase":[20],"users":[22,42],"and":[23,43,52,57,108,119,123],"taxis,":[25],"car-hailing":[27,81],"prediction":[28],"systems":[29],"face":[30],"several":[31],"challenges:":[32],"1)":[33],"difficulty":[35,47],"modeling":[37],"nonlinear":[38],"spatiotemporal":[39],"interactions":[40],"between":[41],"vehicles,":[44],"2)":[45],"incorporating":[49],"context":[50],"information":[51],"multimodal":[53,73,88,112],"attribute":[54,113],"enhancement":[55,114],"data,":[56],"3)":[58],"problems":[60],"data":[62],"sparsity.":[63],"To":[64],"cope":[65],"these":[67],"challenges,":[68],"we":[69],"propose":[70],"a":[71,87,111,124],"novel":[72],"fusion":[74],"graph":[75,91,98],"convolutional":[76,92,99],"network":[77,93],"(MFGCN)":[78],"for":[79],"prediction.":[82],"model":[84],"consists":[85],"origin":[89],"destination":[90],"module":[94,115,130],"that":[95,116,131,145],"contains":[96],"three":[97],"networks":[100],"extract":[102],"spatial":[103],"patterns":[104],"from":[105],"geography,":[106],"semantics,":[107],"functional":[109],"correlation;":[110],"incorporates":[117],"weather":[118],"temporal":[120,125],"activity":[121],"patterns;":[122],"attention":[126],"skip-long":[127],"short-term":[128],"memory":[129],"captures":[132],"periodic":[134],"variations.":[135],"Extensive":[136],"experiments":[137],"conducted":[138],"on":[139],"real-world":[140],"taxi":[141],"demand":[142],"datasets":[143],"show":[144],"MFGCN":[146],"outperforms":[147],"state-of-the-art":[149],"methods.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}