{"id":"https://openalex.org/W4386597477","doi":"https://doi.org/10.1109/mt-its56129.2023.10241377","title":"Long-term &amp; short-term bike sharing demand predictions using contextual data","display_name":"Long-term &amp; short-term bike sharing demand predictions using contextual data","publication_year":2023,"publication_date":"2023-06-14","ids":{"openalex":"https://openalex.org/W4386597477","doi":"https://doi.org/10.1109/mt-its56129.2023.10241377"},"language":"en","primary_location":{"id":"doi:10.1109/mt-its56129.2023.10241377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mt-its56129.2023.10241377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","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":"https://openalex.org/A5113554847","display_name":"M. Tabandeh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167111","display_name":"GfK (Germany)","ror":"https://ror.org/05n6np283","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210167111"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mirfarnam Tabandeh","raw_affiliation_strings":["Sch&#x00FC;&#x00DF;ler-Plan,Nuremberg,Germany"],"affiliations":[{"raw_affiliation_string":"Sch&#x00FC;&#x00DF;ler-Plan,Nuremberg,Germany","institution_ids":["https://openalex.org/I4210167111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001459918","display_name":"Constantinos Antoniou","orcid":"https://orcid.org/0000-0003-0203-9542"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Constantinos Antoniou","raw_affiliation_strings":["Technical University of Munich,TUM School of Engineering and Design,Munich,Germany","TUM School of Engineering and Design, Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,TUM School of Engineering and Design,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072454652","display_name":"Guido Cantelmo","orcid":"https://orcid.org/0000-0001-5218-2609"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Guido Cantelmo","raw_affiliation_strings":["Technical University of Denmark,Department of Technology, Management and Economics,Lyngby,Denmark","Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Department of Technology, Management and Economics,Lyngby,Denmark","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113554847"],"corresponding_institution_ids":["https://openalex.org/I4210167111"],"apc_list":null,"apc_paid":null,"fwci":0.7815,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79214229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"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/T10298","display_name":"Urban Transport and Accessibility","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"}},"topics":[{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9958000183105469,"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":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8195304274559021},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.731643557548523},{"id":"https://openalex.org/keywords/bike-sharing","display_name":"Bike sharing","score":0.654481828212738},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.645988404750824},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6297450065612793},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4816650152206421},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47831395268440247},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47745421528816223},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4514438807964325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42611730098724365},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.42005494236946106},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4139511287212372},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3865868151187897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32331210374832153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28453487157821655},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11583012342453003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195304274559021},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.731643557548523},{"id":"https://openalex.org/C2994001137","wikidata":"https://www.wikidata.org/wiki/Q1358919","display_name":"Bike sharing","level":2,"score":0.654481828212738},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.645988404750824},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6297450065612793},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4816650152206421},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47831395268440247},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47745421528816223},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4514438807964325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42611730098724365},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42005494236946106},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4139511287212372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3865868151187897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32331210374832153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28453487157821655},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11583012342453003},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mt-its56129.2023.10241377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mt-its56129.2023.10241377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1815076433","https://openalex.org/W1892081045","https://openalex.org/W1989522934","https://openalex.org/W2060834546","https://openalex.org/W2208177462","https://openalex.org/W2610909953","https://openalex.org/W2772724270","https://openalex.org/W2783226629","https://openalex.org/W2791959023","https://openalex.org/W2795577446","https://openalex.org/W2797380693","https://openalex.org/W2900803712","https://openalex.org/W2912528068","https://openalex.org/W3041374122","https://openalex.org/W3197120450","https://openalex.org/W6638545294"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2787712487","https://openalex.org/W4302083251"],"abstract_inverted_index":{"Bike":[0],"Sharing":[1],"Systems":[2],"(BSSs)":[3],"have":[4],"gained":[5],"popularity":[6],"in":[7,75,150],"the":[8,22,33,83,98,127,141,145,192],"last":[9],"two":[10],"decades,":[11],"becoming":[12],"an":[13],"integrated":[14],"part":[15],"of":[16,21,134,140],"our":[17],"mobility":[18,34,104,186,189],"ecosystem.":[19],"One":[20],"major":[23],"issues":[24],"BSS":[25],"operators":[26],"struggle":[27],"to":[28,71,92,112],"deal":[29,46],"with":[30,47,167],"is":[31,90,110],"forecasting":[32],"demand,":[35],"namely":[36],"how":[37],"many":[38],"bikes":[39],"are":[40,124],"needed,":[41],"when,":[42],"and":[43,68,89,153,195],"where.":[44],"To":[45],"this":[48,50],"challenge,":[49],"paper":[51],"introduces":[52],"a":[53,132,174],"novel":[54],"deep":[55],"learning":[56],"architecture":[57],"that":[58,144,154,172],"combines":[59],"Convolutional":[60],"Neural":[61,108],"Networks":[62],"(CNN),":[63],"Long":[64],"Short-Term":[65],"Memory":[66],"(LSTM),":[67],"contextual":[69,114,162],"data":[70,119],"predict":[72],"hourly":[73],"demand":[74,95],"large-scale":[76],"bike-sharing":[77],"systems":[78],"one":[79,135],"day":[80],"ahead.":[81],"Specifically,":[82],"CNN":[84],"layer":[85,100],"captures":[86,180],"spatio-temporal":[87],"trends":[88],"used":[91,111,149],"model":[93,142],"long-term":[94,185],"patterns,":[96,187],"while":[97],"LSTM":[99],"focuses":[101],"on":[102],"short-term":[103,188],"strategies.":[105],"A":[106],"separate":[107],"Network":[109],"include":[113],"data,":[115],"such":[116,173],"as":[117],"weather":[118],"or":[120],"special":[121],"events.":[122],"Predictions":[123],"provided":[125],"for":[126],"next":[128],"24":[129],"hours":[130],"at":[131],"frequency":[133],"hour.":[136],"The":[137],"modular":[138,175],"structure":[139],"ensures":[143],"framework":[146],"can":[147,157,164],"be":[148,158,165],"different":[151,181],"situations":[152],"individual":[155],"components":[156],"replaced.":[159],"Similarly,":[160],"additional":[161],"information":[163],"included":[166],"limited":[168],"effort.":[169],"Results":[170],"show":[171],"framework,":[176],"where":[177],"each":[178],"module":[179],"dynamics":[182],"(weather":[183],"effects,":[184],"patterns)":[190],"outperforms":[191],"baseline":[193],"models":[194],"also":[196],"reduces":[197],"their":[198],"computational":[199],"times.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
