{"id":"https://openalex.org/W4210754377","doi":"https://doi.org/10.3390/s22031060","title":"Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning","display_name":"Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning","publication_year":2022,"publication_date":"2022-01-29","ids":{"openalex":"https://openalex.org/W4210754377","doi":"https://doi.org/10.3390/s22031060","pmid":"https://pubmed.ncbi.nlm.nih.gov/35161806"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031060","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1060/pdf?version=1644383554","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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/3/1060/pdf?version=1644383554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057874694","display_name":"Aliasghar Mehdizadeh Dastjerdi","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Aliasghar Mehdizadeh Dastjerdi","raw_affiliation_strings":["Department of Civil, Geological and Mining Engineering, Polytechnique Montr\u00e9al, Montreal, QC H3T 1J4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Geological and Mining Engineering, Polytechnique Montr\u00e9al, Montreal, QC H3T 1J4, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091320315","display_name":"Catherine Morency","orcid":"https://orcid.org/0000-0002-3211-4243"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Catherine Morency","raw_affiliation_strings":["Department of Civil, Geological and Mining Engineering, Polytechnique Montr\u00e9al, Montreal, QC H3T 1J4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Geological and Mining Engineering, Polytechnique Montr\u00e9al, Montreal, QC H3T 1J4, Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057874694"],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598,"provenance":"doaj"},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598,"provenance":"doaj"},"fwci":7.457,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":36,"citation_normalized_percentile":{"value":0.99974,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"22","issue":"3","first_page":"1060","last_page":"1060"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9999,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9999,"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":0.9936,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9831,"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/bike-sharing","display_name":"Bike Sharing","score":0.700805},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.63760173},{"id":"https://openalex.org/keywords/demand-patterns","display_name":"Demand patterns","score":0.48338336}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.83646315},{"id":"https://openalex.org/C2994001137","wikidata":"https://www.wikidata.org/wiki/Q1358919","display_name":"Bike sharing","level":2,"score":0.700805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69714296},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.63760173},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.6029569},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5879667},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.5227727},{"id":"https://openalex.org/C32597650","wikidata":"https://www.wikidata.org/wiki/Q5255044","display_name":"Demand patterns","level":3,"score":0.48338336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43571183},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4324856},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42454737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3846347},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35981372},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.28201425},{"id":"https://openalex.org/C179366874","wikidata":"https://www.wikidata.org/wiki/Q1185130","display_name":"Demand management","level":2,"score":0.2775118},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.21323222},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15844133},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.090250164},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"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":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001642","descriptor_name":"Bicycling","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031060","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1060/pdf?version=1644383554","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},{"is_oa":false,"landing_page_url":"https://doaj.org/article/f3d2e76d25324685a0b011fece80d7ab","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":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838375","pdf_url":null,"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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35161806","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031060","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1060/pdf?version=1644383554","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},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.65,"id":"https://metadata.un.org/sdg/3"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":54,"referenced_works":["https://openalex.org/W1995996823","https://openalex.org/W2043179846","https://openalex.org/W2062147841","https://openalex.org/W2064675550","https://openalex.org/W2070393244","https://openalex.org/W2071116316","https://openalex.org/W2112796928","https://openalex.org/W2151828736","https://openalex.org/W2297059404","https://openalex.org/W2425858923","https://openalex.org/W2460480794","https://openalex.org/W2608988527","https://openalex.org/W2695874637","https://openalex.org/W2741097030","https://openalex.org/W2754191969","https://openalex.org/W2758145709","https://openalex.org/W2772724270","https://openalex.org/W2795577446","https://openalex.org/W2796723621","https://openalex.org/W2808055185","https://openalex.org/W2886639319","https://openalex.org/W2902227922","https://openalex.org/W2903483030","https://openalex.org/W2912528068","https://openalex.org/W2936504517","https://openalex.org/W2940219259","https://openalex.org/W2951949924","https://openalex.org/W2955659952","https://openalex.org/W2956910609","https://openalex.org/W2964360976","https://openalex.org/W2973162043","https://openalex.org/W2990668842","https://openalex.org/W2993062008","https://openalex.org/W3005021926","https://openalex.org/W3005649948","https://openalex.org/W3032564070","https://openalex.org/W3035425763","https://openalex.org/W3039628929","https://openalex.org/W3040750541","https://openalex.org/W3042918615","https://openalex.org/W3090105691","https://openalex.org/W3091801004","https://openalex.org/W3094293651","https://openalex.org/W3095805159","https://openalex.org/W3098519726","https://openalex.org/W3099768174","https://openalex.org/W3111776918","https://openalex.org/W3124684701","https://openalex.org/W3128136982","https://openalex.org/W3133180636","https://openalex.org/W3164443880","https://openalex.org/W3171571592","https://openalex.org/W3175388029","https://openalex.org/W3197179447"],"related_works":["https://openalex.org/W4320801909","https://openalex.org/W4318464897","https://openalex.org/W4289539853","https://openalex.org/W4289530020","https://openalex.org/W4285392842","https://openalex.org/W3031225824","https://openalex.org/W2765247843","https://openalex.org/W2587703268","https://openalex.org/W2143732059","https://openalex.org/W2017235719"],"abstract_inverted_index":{"An":[0],"important":[1],"question":[2],"in":[3,22,50,69,89,115,194],"planning":[4],"and":[5,25,128],"designing":[6],"bike-sharing":[7,71,197],"services":[8],"is":[9,96],"to":[10,85,99,111,117],"support":[11,195],"the":[12,20,39,46,63,70,74,118,139,145,151,158,164,168,177,190],"user\u2019s":[13],"travel":[14],"demand":[15,33,49,88,122,137,192],"by":[16],"allocating":[17],"bikes":[18,48],"at":[19],"stations":[21],"an":[23],"efficient":[24],"reliable":[26],"manner":[27],"which":[28],"may":[29],"require":[30],"accurate":[31],"short-time":[32],"prediction.":[34],"This":[35],"study":[36,64],"focuses":[37],"on":[38],"short-term":[40],"forecasting,":[41],"15":[42],"min":[43],"ahead,":[44],"of":[45,60,80,121,172,196],"shared":[47],"Montreal":[51],"using":[52,73,176],"a":[53,58,103,186],"deep":[54,146],"learning":[55,147],"approach.":[56],"Having":[57],"set":[59],"bike":[61,136,191],"trips,":[62],"first":[65],"identifies":[66],"6":[67],"communities":[68],"network":[72],"Louvain":[75],"algorithm.":[76],"Then,":[77],"four":[78],"groups":[79],"LSTM-based":[81],"architectures":[82],"are":[83,113],"adopted":[84],"predict":[86],"pickup":[87],"each":[90],"community.":[91],"A":[92],"univariate":[93],"ARIMA":[94,152],"model":[95,169],"also":[97],"used":[98,114],"compare":[100],"results":[101],"as":[102],"benchmark.":[104],"The":[105,131,154],"historical":[106],"trip":[107],"data":[108],"from":[109],"2017":[110],"2021":[112],"addition":[116],"extra":[119,165],"inputs":[120],"related":[123],"engineered":[124],"features,":[125],"weather":[126],"conditions,":[127],"temporal":[129],"variables.":[130],"selected":[132],"timespan":[133],"allows":[134],"predicting":[135],"during":[138],"COVID-19":[140],"pandemic.":[141],"Results":[142],"show":[143],"that":[144],"models":[148],"significantly":[149],"outperform":[150],"one.":[153],"hybrid":[155,178],"CNN-LSTM":[156],"achieves":[157],"highest":[159],"prediction":[160],"accuracy.":[161],"Furthermore,":[162],"adding":[163],"variables":[166],"improves":[167],"performance":[170],"regardless":[171],"its":[173],"architecture.":[174],"Thus,":[175],"structure":[179],"enriched":[180],"with":[181],"additional":[182],"input":[183],"features":[184],"provides":[185],"better":[187],"insight":[188],"into":[189],"patterns,":[193],"operational":[198],"management.":[199]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4210754377","counts_by_year":[{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":9}],"updated_date":"2025-01-07T22:10:58.757192","created_date":"2022-02-08"}