{"id":"https://openalex.org/W3201002138","doi":"https://doi.org/10.1109/itsc48978.2021.9564831","title":"A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes","display_name":"A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3201002138","doi":"https://doi.org/10.1109/itsc48978.2021.9564831","mag":"3201002138"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9564831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029929277","display_name":"Zhengyong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Zhengyong Chen","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047579830","display_name":"Hongde Wu","orcid":"https://orcid.org/0000-0002-2038-1002"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Hongde Wu","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106498523","display_name":"Noel E. O\u2019Connor","orcid":"https://orcid.org/0000-0002-4033-9135"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Noel E. O'Connor","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448079","display_name":"Mingming Liu","orcid":"https://orcid.org/0000-0002-8988-2104"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Mingming Liu","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I42934936"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1299","last_page":"1305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9987999796867371,"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":0.7595920562744141},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7357279062271118},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6596910357475281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5355818867683411},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5330907702445984},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4860449433326721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38612669706344604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37838417291641235},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3016136884689331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15579569339752197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595920562744141},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7357279062271118},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6596910357475281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5355818867683411},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5330907702445984},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4860449433326721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38612669706344604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37838417291641235},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3016136884689331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15579569339752197}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9564831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1989913148","https://openalex.org/W2064675550","https://openalex.org/W2295598076","https://openalex.org/W2528639018","https://openalex.org/W2530386080","https://openalex.org/W2560675361","https://openalex.org/W2756203131","https://openalex.org/W2788134583","https://openalex.org/W2797380693","https://openalex.org/W2945827377","https://openalex.org/W2962790412","https://openalex.org/W2963124587","https://openalex.org/W2963358464","https://openalex.org/W2963858333","https://openalex.org/W2964121744","https://openalex.org/W2964321699","https://openalex.org/W2965341826","https://openalex.org/W2965806703","https://openalex.org/W2974357643","https://openalex.org/W3037147042","https://openalex.org/W3040628978","https://openalex.org/W3082188807","https://openalex.org/W3101553402","https://openalex.org/W3102476541","https://openalex.org/W3103720336","https://openalex.org/W3111993719","https://openalex.org/W3113262082","https://openalex.org/W3176075655","https://openalex.org/W4297733535","https://openalex.org/W6628877408","https://openalex.org/W6720006811","https://openalex.org/W6728254797","https://openalex.org/W6728547873","https://openalex.org/W6730235577","https://openalex.org/W6746015598","https://openalex.org/W6748555476","https://openalex.org/W6762978078","https://openalex.org/W6787308829","https://openalex.org/W6787589679","https://openalex.org/W6910723786"],"related_works":["https://openalex.org/W2611163850","https://openalex.org/W4293226380","https://openalex.org/W3015250136","https://openalex.org/W1980812295","https://openalex.org/W1845849701","https://openalex.org/W2044218713","https://openalex.org/W2625268413","https://openalex.org/W2962989220","https://openalex.org/W2379234996","https://openalex.org/W2900798793"],"abstract_inverted_index":{"Accurately":[0],"forecasting":[1],"transportation":[2,99],"demand":[3],"is":[4,23,127],"crucial":[5],"for":[6,84,111],"efficient":[7],"urban":[8],"traffic":[9],"guidance,":[10],"control":[11],"and":[12,74,164],"management.":[13],"One":[14],"solution":[15],"to":[16,24,39,60,129,167],"enhance":[17],"the":[18,37,62,68,85,113,124,132,141,151,169,177],"level":[19],"of":[20,51,64,87,115,134,143,147,171,179],"prediction":[21],"accuracy":[22],"leverage":[25],"graph":[26,44,55],"convolutional":[27,56],"networks":[28],"(GCN),":[29],"a":[30,48,53,79],"neural":[31],"network":[32,57],"based":[33,45],"modelling":[34,145],"approach":[35],"with":[36],"ability":[38],"process":[40],"data":[41,65,90],"contained":[42,66],"in":[43,67,98,118,121],"structures.":[46],"As":[47],"powerful":[49],"extension":[50],"GCN,":[52],"spatial-temporal":[54],"(ST-GCN)":[58],"aims":[59],"capture":[61],"relationship":[63],"graphical":[69],"nodes":[70],"across":[71],"both":[72],"spatial":[73,94],"temporal":[75],"dimensions,":[76],"which":[77,175],"presents":[78],"novel":[80],"deep":[81],"learning":[82],"paradigm":[83],"analysis":[86],"complex":[88],"time-series":[89],"that":[91],"also":[92,139],"involves":[93],"information":[95],"as":[96],"present":[97,106],"use":[100],"cases.":[101],"In":[102],"this":[103],"paper,":[104],"we":[105,138],"an":[107,135],"Attention-based":[108],"ST-GCN":[109],"(AST-GCN)":[110],"predicting":[112],"number":[114],"available":[116],"bikes":[117],"bike-sharing":[119],"systems":[120],"cities,":[122],"where":[123],"attention-based":[125],"mechanism":[126],"introduced":[128],"further":[130],"improve":[131],"performance":[133],"ST-GCN.":[136],"Furthermore,":[137],"discuss":[140],"impacts":[142],"different":[144],"methods":[146],"adjacency":[148],"matrices":[149],"on":[150],"proposed":[152,173],"architecture.":[153],"Our":[154],"experimental":[155],"results":[156],"are":[157],"presented":[158],"using":[159],"two":[160],"real-world":[161],"datasets,":[162],"Dublinbikes":[163],"NYC-Citi":[165],"Bike,":[166],"illustrate":[168],"efficacy":[170],"our":[172],"model":[174],"outperforms":[176],"majority":[178],"existing":[180],"approaches.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}