{"id":"https://openalex.org/W4413181660","doi":"https://doi.org/10.3390/systems13080681","title":"Multi-Region Taxi Pick-Up Demand Prediction Based on Edge-GATv2-LSTM","display_name":"Multi-Region Taxi Pick-Up Demand Prediction Based on Edge-GATv2-LSTM","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4413181660","doi":"https://doi.org/10.3390/systems13080681"},"language":"en","primary_location":{"id":"doi:10.3390/systems13080681","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13080681","pdf_url":"https://www.mdpi.com/2079-8954/13/8/681/pdf?version=1755055047","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/13/8/681/pdf?version=1755055047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100331443","display_name":"Jiawen Li","orcid":"https://orcid.org/0000-0002-8586-9535"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Li","raw_affiliation_strings":["Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903500","display_name":"Zhengfeng Huang","orcid":"https://orcid.org/0000-0002-7711-4343"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengfeng Huang","raw_affiliation_strings":["Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876428","display_name":"Jinliang Li","orcid":"https://orcid.org/0009-0007-2814-2077"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Li","raw_affiliation_strings":["Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114180453","display_name":"Pengjun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjun Zheng","raw_affiliation_strings":["Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101903500"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":3.3906,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91975752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":"8","first_page":"681","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9997000098228455,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6139034032821655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5334886312484741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5089437961578369}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6139034032821655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5334886312484741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5089437961578369}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/systems13080681","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13080681","pdf_url":"https://www.mdpi.com/2079-8954/13/8/681/pdf?version=1755055047","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:caffbcdfe1e7426abe36476508385221","is_oa":true,"landing_page_url":"https://doaj.org/article/caffbcdfe1e7426abe36476508385221","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 13, Iss 8, p 681 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/systems13080681","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13080681","pdf_url":"https://www.mdpi.com/2079-8954/13/8/681/pdf?version=1755055047","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4221085132","display_name":null,"funder_award_id":"52272334","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/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413181660.pdf","grobid_xml":"https://content.openalex.org/works/W4413181660.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2946160394","https://openalex.org/W3039360488","https://openalex.org/W3108897154","https://openalex.org/W3113543587","https://openalex.org/W3119457309","https://openalex.org/W3138337643","https://openalex.org/W3155957538","https://openalex.org/W3176075655","https://openalex.org/W3202884006","https://openalex.org/W3214882838","https://openalex.org/W4205893309","https://openalex.org/W4221045876","https://openalex.org/W4225725834","https://openalex.org/W4229450637","https://openalex.org/W4285216302","https://openalex.org/W4319163704","https://openalex.org/W4321373902","https://openalex.org/W4385245566","https://openalex.org/W4386912169","https://openalex.org/W4387092491","https://openalex.org/W4389616124","https://openalex.org/W4393140353","https://openalex.org/W4400956258","https://openalex.org/W4404616090","https://openalex.org/W4404896028","https://openalex.org/W4405131131","https://openalex.org/W4405941129","https://openalex.org/W4407425290","https://openalex.org/W4407574873","https://openalex.org/W4409683216","https://openalex.org/W6739901393","https://openalex.org/W6787308829","https://openalex.org/W6803991797","https://openalex.org/W6839627060"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Currently,":[0],"the":[1,30,83,95,103,125,129,144,147],"short-term":[2],"accurate":[3],"prediction":[4,43,141],"of":[5,105,138,152],"multi-region":[6],"taxi":[7,118,177,193],"pick-up":[8,139,194],"demand":[9,140,168],"often":[10],"adopts":[11,40],"methods":[12,160],"that":[13,128],"integrate":[14],"graph":[15,51],"neural":[16,52],"networks":[17],"with":[18,55,90],"temporal":[19,57,73],"modeling.":[20],"However,":[21],"most":[22],"models":[23,65],"focus":[24],"solely":[25],"on":[26,116],"node":[27,91,100],"features":[28,81],"during":[29,108],"learning":[31],"process,":[32],"neglecting":[33],"or":[34],"simplifying":[35],"edge":[36,80],"features.":[37,92],"This":[38,93,170],"study":[39],"a":[41,56,188],"hybrid":[42],"framework,":[44],"Edge-GATv2-LSTM,":[45],"which":[46],"integrates":[47],"an":[48],"edge-aware":[49],"attention-based":[50],"network":[53],"(Edge-GATv2)":[54],"modeling":[58],"component":[59],"(LSTM).":[60],"The":[61],"framework":[62],"not":[63],"only":[64],"spatial":[66],"interactions":[67],"among":[68],"regions":[69],"via":[70,75],"GATv2":[71],"and":[72,102,124,150,154,161,181],"evolution":[74],"LSTM":[76],"but":[77],"also":[78],"incorporates":[79],"into":[82],"attention":[84,109],"computation":[85],"structure,":[86],"jointly":[87],"representing":[88],"them":[89],"enables":[94],"model":[96,132,145],"to":[97],"perceive":[98],"both":[99],"attributes":[101],"strength":[104],"inter-regional":[106],"relationships":[107],"weight":[110],"calculation.":[111],"Experiments":[112],"are":[113,199],"conducted":[114],"based":[115],"real-world":[117],"order":[119],"data":[120],"from":[121],"Ningbo":[122],"City,":[123],"results":[126],"demonstrate":[127],"adopted":[130],"Edge-GATv2-LSTM":[131],"exhibits":[133],"favorable":[134],"performance":[135],"in":[136,165],"terms":[137],"accuracy.":[142],"Specifically,":[143],"achieves":[146],"lowest":[148],"RMSE":[149],"MAE":[151],"3.85":[153],"2.86,":[155],"respectively,":[156],"outperforming":[157],"all":[158],"baseline":[159],"confirming":[162],"its":[163],"effectiveness":[164],"capturing":[166],"spatiotemporal":[167],"patterns.":[169],"research":[171],"can":[172],"provide":[173],"decision-making":[174],"support":[175],"for":[176,191],"drivers,":[178],"platform":[179],"operators,":[180],"traffic":[182],"management":[183],"departments\u2014for":[184],"example,":[185],"by":[186],"offering":[187],"reference":[189],"basis":[190],"optimizing":[192],"route":[195],"planning":[196],"when":[197],"vehicles":[198],"unoccupied.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
