{"id":"https://openalex.org/W4391879231","doi":"https://doi.org/10.3390/s24041266","title":"A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction","display_name":"A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction","publication_year":2024,"publication_date":"2024-02-16","ids":{"openalex":"https://openalex.org/W4391879231","doi":"https://doi.org/10.3390/s24041266","pmid":"https://pubmed.ncbi.nlm.nih.gov/38400424"},"language":"en","primary_location":{"id":"doi:10.3390/s24041266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24041266","pdf_url":"https://www.mdpi.com/1424-8220/24/4/1266/pdf?version=1708086280","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/4/1266/pdf?version=1708086280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073372023","display_name":"Nihad Brahimi","orcid":"https://orcid.org/0000-0001-5987-9919"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nihad Brahimi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084300721","display_name":"Huaping Zhang","orcid":"https://orcid.org/0000-0002-0137-4069"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaping Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":"https://orcid.org/0000-0002-0137-4069","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113120605","display_name":"Syed Danial Asghar Zaidi","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Syed Danial Asghar Zaidi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106181602","display_name":"Lin Dai","orcid":"https://orcid.org/0000-0002-0093-137X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Dai","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084300721"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.6875,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62795302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"24","issue":"4","first_page":"1266","last_page":"1266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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"}},"topics":[{"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9991000294685364,"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":0.9975000023841858,"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":0.716124951839447},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6820176243782043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5965598225593567},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.547737181186676},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5424677729606628},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4613741636276245},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4135957956314087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40536874532699585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3884175419807434},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13584497570991516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.716124951839447},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6820176243782043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5965598225593567},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.547737181186676},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5424677729606628},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4613741636276245},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4135957956314087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40536874532699585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3884175419807434},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13584497570991516},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24041266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24041266","pdf_url":"https://www.mdpi.com/1424-8220/24/4/1266/pdf?version=1708086280","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:38400424","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38400424","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10892602","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10892602","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10892602/pdf/sensors-24-01266.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9bb904a9ba2f4e659e9a3f4a8e2e7ab9","is_oa":false,"landing_page_url":"https://doaj.org/article/9bb904a9ba2f4e659e9a3f4a8e2e7ab9","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 4, p 1266 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24041266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24041266","pdf_url":"https://www.mdpi.com/1424-8220/24/4/1266/pdf?version=1708086280","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3683535306","display_name":null,"funder_award_id":"2021-JCJQ-JJ-0059","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5231727202","display_name":null,"funder_award_id":"4212026","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391879231.pdf","grobid_xml":"https://content.openalex.org/works/W4391879231.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1971001667","https://openalex.org/W1998198404","https://openalex.org/W2004353783","https://openalex.org/W2025982122","https://openalex.org/W2559207704","https://openalex.org/W2598379669","https://openalex.org/W2733535563","https://openalex.org/W2766654964","https://openalex.org/W2780374489","https://openalex.org/W2788134583","https://openalex.org/W2954482899","https://openalex.org/W2969732941","https://openalex.org/W2996847713","https://openalex.org/W2997601537","https://openalex.org/W3004417816","https://openalex.org/W3005888097","https://openalex.org/W3017116930","https://openalex.org/W3080911033","https://openalex.org/W3103942004","https://openalex.org/W3126367810","https://openalex.org/W3154701891","https://openalex.org/W4206035758","https://openalex.org/W4246225438","https://openalex.org/W4248439738","https://openalex.org/W4308788575","https://openalex.org/W4321455465","https://openalex.org/W4386001598","https://openalex.org/W4386365035","https://openalex.org/W4389915514","https://openalex.org/W6730304164"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W3147584709","https://openalex.org/W2741131631","https://openalex.org/W2045526782","https://openalex.org/W4405841813","https://openalex.org/W2156919374","https://openalex.org/W1483472507"],"abstract_inverted_index":{"Car-sharing":[0],"systems":[1],"require":[2],"accurate":[3],"demand":[4,21,48,75,106],"prediction":[5],"to":[6,27,83,103,118,142,164],"ensure":[7],"efficient":[8],"resource":[9],"allocation":[10],"and":[11,65,77,91,125,148,151],"scheduling":[12],"decisions.":[13],"However,":[14],"developing":[15],"precise":[16],"predictive":[17],"models":[18],"for":[19,47],"vehicle":[20],"remains":[22],"a":[23,42,57,61,66,84],"challenging":[24],"problem":[25],"due":[26],"the":[28,36,94,112,120,166],"complex":[29],"spatio-temporal":[30,67,113],"relationships.":[31],"This":[32],"paper":[33],"introduces":[34],"USTIN,":[35],"Unified":[37],"Spatio-Temporal":[38],"Inference":[39],"Prediction":[40],"Network,":[41],"novel":[43],"neural":[44],"network":[45],"architecture":[46],"prediction.":[49],"The":[50,70,135],"model":[51,119,138],"consists":[52],"of":[53,100],"three":[54],"key":[55],"components:":[56],"temporal":[58,71],"feature":[59,63,68],"unit,":[60,64],"spatial":[62,95],"unit.":[69],"unit":[72,96,114],"utilizes":[73],"historical":[74],"data":[76,102,117],"comprises":[78],"four":[79],"layers,":[80],"each":[81],"corresponding":[82],"different":[85],"time":[86],"scale":[87],"(hourly,":[88],"daily,":[89],"weekly,":[90],"monthly).":[92],"Meanwhile,":[93],"incorporates":[97,115],"contextual":[98],"points":[99],"interest":[101],"capture":[104],"geographic":[105],"factors":[107,169],"around":[108],"parking":[109],"stations.":[110],"Additionally,":[111],"weather":[116],"meteorological":[121],"impacts":[122],"across":[123],"locations":[124],"time.":[126],"We":[127],"conducted":[128],"extensive":[129],"experiments":[130],"on":[131],"real-world":[132],"car-sharing":[133],"data.":[134],"proposed":[136],"USTIN":[137],"demonstrated":[139],"its":[140],"ability":[141],"effectively":[143],"learn":[144],"intricate":[145],"temporal,":[146],"spatial,":[147],"spatiotemporal":[149],"relationships,":[150],"outperformed":[152],"existing":[153],"state-of-the-art":[154],"approaches.":[155],"Moreover,":[156],"we":[157],"employed":[158],"negative":[159],"binomial":[160],"regression":[161],"with":[162],"uncertainty":[163],"identify":[165],"most":[167],"influential":[168],"affecting":[170],"car":[171],"usage.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}