{"id":"https://openalex.org/W4410779826","doi":"https://doi.org/10.1109/cacml64929.2025.11010961","title":"Demand Prediction with Gravity Graph Attention Networks for Shared Bike Systems","display_name":"Demand Prediction with Gravity Graph Attention Networks for Shared Bike Systems","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4410779826","doi":"https://doi.org/10.1109/cacml64929.2025.11010961"},"language":"en","primary_location":{"id":"doi:10.1109/cacml64929.2025.11010961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacml64929.2025.11010961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML)","raw_type":"proceedings-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":null,"display_name":"Peigen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peigen Zhang","raw_affiliation_strings":["Southwest Jiaotong University,School of Transportation and Logistics,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Transportation and Logistics,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101353361","display_name":"Yujie Du","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Du","raw_affiliation_strings":["Academy of Arts &amp; Design Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Academy of Arts &amp; Design Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062459130","display_name":"Jian Ming","orcid":"https://orcid.org/0000-0001-6133-0335"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Jian","raw_affiliation_strings":["Southwest Jiaotong University,School of Transportation and Logistics,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Transportation and Logistics,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1192137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9886000156402588,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9886000156402588,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9690999984741211,"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/computer-science","display_name":"Computer science","score":0.6535286903381348},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47720083594322205},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.431792676448822},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30294883251190186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1461459994316101},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0944286584854126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535286903381348},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47720083594322205},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.431792676448822},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30294883251190186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1461459994316101},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0944286584854126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cacml64929.2025.11010961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacml64929.2025.11010961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2043179846","https://openalex.org/W2100194699","https://openalex.org/W2106913814","https://openalex.org/W2151828736","https://openalex.org/W2525783181","https://openalex.org/W2766977575","https://openalex.org/W2772724270","https://openalex.org/W2809303669","https://openalex.org/W2915109348","https://openalex.org/W3121772369","https://openalex.org/W3157345337","https://openalex.org/W3214685769","https://openalex.org/W3217402958","https://openalex.org/W4221146484","https://openalex.org/W4321010072","https://openalex.org/W4384450936","https://openalex.org/W4387747759","https://openalex.org/W6726873649"],"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/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"Shared":[0],"bicycles,":[1],"as":[2,78],"an":[3],"important":[4],"component":[5],"of":[6,98,108,115,144],"green":[7],"transportation,":[8],"have":[9],"experienced":[10],"rapid":[11],"development":[12],"worldwide,":[13],"making":[14],"accurate":[15],"demand":[16,55],"forecasting":[17],"crucial":[18],"for":[19],"urban":[20],"transportation":[21],"planning":[22],"and":[23,37,73,84,137,147,154],"operational":[24],"management.":[25],"However,":[26],"existing":[27],"deep":[28,104],"learning":[29],"approaches":[30],"primarily":[31],"focus":[32],"on":[33,121],"time":[34],"series":[35],"data":[36],"often":[38],"fail":[39],"to":[40],"capture":[41],"the":[42,87,90,95,99,103,129],"complex":[43],"spatial":[44,116],"characteristics":[45],"among":[46,118],"stations.":[47,119],"To":[48],"address":[49],"this":[50],"issue,":[51],"we":[52],"propose":[53],"a":[54,69,112,122],"prediction":[56],"method":[57,92],"that":[58,128],"integrates":[59],"Graph":[60],"Attention":[61],"Network":[62],"(GAT)":[63],"with":[64,102],"Gravity":[65,135],"model.":[66],"By":[67],"constructing":[68],"geographic":[70,85],"adjacency":[71],"graph":[72],"incorporating":[74],"multi-source":[75],"information\u2014":[76],"such":[77],"station":[79],"flow,":[80],"built":[81],"environment":[82],"features,":[83],"coordinates\u2014into":[86],"node":[88],"representations,":[89],"proposed":[91],"effectively":[93],"combines":[94],"prior":[96],"knowledge":[97],"gravity":[100],"model":[101,131],"feature":[105],"extraction":[106],"capabilities":[107],"GAT,":[109,134],"thus":[110],"providing":[111],"comprehensive":[113],"characterization":[114],"interactions":[117],"Experiments":[120],"public":[123],"dataset":[124],"from":[125],"Xiamen":[126],"demonstrate":[127],"fusion":[130],"outperforms":[132],"standalone":[133],"model,":[136],"GCN":[138],"(Graph":[139],"Convolutional":[140],"Network)":[141],"in":[142,156],"terms":[143],"MAE,":[145],"RMSE":[146],"R<sup":[148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>,":[150],"validating":[151],"its":[152],"effectiveness":[153],"superiority":[155],"predicting":[157],"shared":[158],"bicycle":[159],"demand.":[160]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
