{"id":"https://openalex.org/W2916912644","doi":"https://doi.org/10.1109/tits.2019.2897341","title":"Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information","display_name":"Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information","publication_year":2019,"publication_date":"2019-02-19","ids":{"openalex":"https://openalex.org/W2916912644","doi":"https://doi.org/10.1109/tits.2019.2897341","mag":"2916912644"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2897341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2897341","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbit.dtu.dk/en/publications/f427b47c-6994-4ab1-9d83-4f6f159f390c","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012755517","display_name":"Ioulia Markou","orcid":"https://orcid.org/0000-0002-3261-4176"},"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":true,"raw_author_name":"Ioulia Markou","raw_affiliation_strings":["Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-3261-4176","affiliations":[{"raw_affiliation_string":"Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078981714","display_name":"Filipe Rodrigues","orcid":"https://orcid.org/0000-0001-6979-6498"},"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":"Filipe Rodrigues","raw_affiliation_strings":["Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark"],"raw_orcid":"https://orcid.org/0000-0001-6979-6498","affiliations":[{"raw_affiliation_string":"Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001424439","display_name":"Francisco C. Pereira","orcid":"https://orcid.org/0000-0001-5457-9909"},"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":"Francisco C. Pereira","raw_affiliation_strings":["Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012755517"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":0.975,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76037014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"2","first_page":"641","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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":0.9986000061035156,"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":0.7258219122886658},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6581334471702576},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6232506036758423},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6082955002784729},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5630755424499512},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5450920462608337},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.50481116771698},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47310972213745117},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4606916904449463},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.455698162317276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42956024408340454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42842021584510803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3528646230697632},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12505784630775452},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10813647508621216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258219122886658},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6581334471702576},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6232506036758423},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6082955002784729},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5630755424499512},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5450920462608337},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.50481116771698},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47310972213745117},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4606916904449463},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.455698162317276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42956024408340454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42842021584510803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3528646230697632},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12505784630775452},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10813647508621216},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2019.2897341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2897341","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/f427b47c-6994-4ab1-9d83-4f6f159f390c","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/f427b47c-6994-4ab1-9d83-4f6f159f390c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Markou , I , Rodrigues , F & Pereira , F C 2020 , ' Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information ' , I E E E Transactions on Intelligent Transportation Systems , vol. 21 , no. 2 , 19320350 , pp. 641-652 . https://doi.org/10.1109/TITS.2019.2897341","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/f427b47c-6994-4ab1-9d83-4f6f159f390c","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/f427b47c-6994-4ab1-9d83-4f6f159f390c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Markou , I , Rodrigues , F & Pereira , F C 2020 , ' Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information ' , I E E E Transactions on Intelligent Transportation Systems , vol. 21 , no. 2 , 19320350 , pp. 641-652 . https://doi.org/10.1109/TITS.2019.2897341","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G177484282","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G2025007194","display_name":null,"funder_award_id":"MSCA-IF-2016","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G2596785601","display_name":null,"funder_award_id":"H2020-MSCA-IF-2016","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3345895242","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3829048491","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3904306218","display_name":null,"funder_award_id":"609405","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4055255573","display_name":null,"funder_award_id":"609405 (COFUNDPostdocDTU)","funder_id":"https://openalex.org/F4320333065","funder_display_name":"Seventh Framework Programme"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G504025110","display_name":null,"funder_award_id":"H2020-MSCA-IF-2016","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5219110804","display_name":"HC \u00d8rsted Postdoc, cofunded by Marie Curie Actions","funder_award_id":"609405","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5404085735","display_name":"PRobabilistic PRedictIon for Smart Mobility under stress scenarios","funder_award_id":"745673","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5593277320","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8512683158","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8574376095","display_name":null,"funder_award_id":"H2020-MSCA-IF","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320333065","display_name":"Seventh Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W197341177","https://openalex.org/W615344948","https://openalex.org/W1481376060","https://openalex.org/W1502922572","https://openalex.org/W1560739766","https://openalex.org/W1589901016","https://openalex.org/W1836465849","https://openalex.org/W1866206747","https://openalex.org/W1880262756","https://openalex.org/W1964082888","https://openalex.org/W1970598633","https://openalex.org/W1973803644","https://openalex.org/W1988580225","https://openalex.org/W1994005439","https://openalex.org/W1994377164","https://openalex.org/W2004353783","https://openalex.org/W2005236385","https://openalex.org/W2034636363","https://openalex.org/W2036785686","https://openalex.org/W2054296758","https://openalex.org/W2076063813","https://openalex.org/W2080678433","https://openalex.org/W2101234009","https://openalex.org/W2115737340","https://openalex.org/W2124499489","https://openalex.org/W2131241448","https://openalex.org/W2132968912","https://openalex.org/W2137958601","https://openalex.org/W2294749418","https://openalex.org/W2513610673","https://openalex.org/W2528639018","https://openalex.org/W2529205007","https://openalex.org/W2557606700","https://openalex.org/W2565638783","https://openalex.org/W2569460227","https://openalex.org/W2584174354","https://openalex.org/W2743316574","https://openalex.org/W2753977519","https://openalex.org/W2766311542","https://openalex.org/W2885354784","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2962875063","https://openalex.org/W2963711523","https://openalex.org/W2997591727","https://openalex.org/W3099751368","https://openalex.org/W4231510805","https://openalex.org/W4236047370","https://openalex.org/W4237747303","https://openalex.org/W4293459451","https://openalex.org/W6607940070","https://openalex.org/W6619280576","https://openalex.org/W6635252591","https://openalex.org/W6639216784","https://openalex.org/W6639619044","https://openalex.org/W6659849045","https://openalex.org/W6675354045","https://openalex.org/W6678911119","https://openalex.org/W6680441624","https://openalex.org/W6697091597","https://openalex.org/W6728547873","https://openalex.org/W6738492492","https://openalex.org/W6903748486"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"In":[0,115],"transportation,":[1],"nature,":[2],"economy,":[3],"environment,":[4],"and":[5,21,40,70,122,129,200],"many":[6],"other":[7],"settings,":[8],"there":[9],"are":[10,16,179],"multiple":[11],"simultaneous":[12],"phenomena":[13],"happening":[14],"that":[15,31,65,82,141,175],"of":[17,47,89,136,151,191,206],"interest":[18],"to":[19,67,96,144,181],"model":[20,140],"predict.":[22],"Over":[23],"the":[24,28,45,87,134,152,158,176,184,187,201],"last":[25],"few":[26],"years,":[27],"traffic":[29],"data":[30,49,91,121],"we":[32,41,110,118],"have":[33,37,42],"at":[34],"our":[35,207],"disposal":[36],"significantly":[38,182],"increased,":[39],"truly":[43],"entered":[44],"era":[46],"big":[48],"for":[50,213],"transportation.":[51],"Most":[52],"existing":[53],"travel":[54],"demand":[55],"prediction":[56,139,208],"methods":[57,199],"mainly":[58],"focus":[59],"on":[60,71],"capturing":[61],"recurrent":[62],"mobility":[63],"trends":[64],"relate":[66],"habitual/routine":[68],"behavior,":[69],"exploiting":[72],"short-term":[73],"correlations":[74],"with":[75],"recent":[76],"observation":[77],"patterns.":[78],"However,":[79],"valuable":[80],"information":[81,124,193],"is":[83,92,142,194,209],"often":[84],"available":[85,169],"in":[86,133,146,161,164,186,196],"form":[88],"unstructured":[90],"neglected":[93],"when":[94],"attempting":[95],"improve":[97],"forecasting":[98],"results.":[99],"Particularly,":[100],"under":[101],"non-recurrent":[102],"conditions,":[103],"such":[104],"as":[105],"large":[106],"events,":[107],"or":[108],"incidents,":[109],"need":[111],"much":[112],"better":[113],"models.":[114],"this":[116],"paper,":[117],"explore":[119],"time-series":[120],"semantic":[123,192],"combinations":[125],"using":[126,167],"machine":[127],"learning":[128,131],"deep":[130],"techniques":[132],"context":[135],"creating":[137],"a":[138,214],"able":[143,180],"capture":[145],"real-time":[147],"future":[148],"stressful":[149],"situations":[150],"studied":[153],"transportation":[154],"system.":[155],"We":[156,172],"apply":[157],"proposed":[159,177],"approaches":[160],"event":[162],"areas":[163],"New":[165],"York":[166],"publicly":[168],"taxi":[170],"data.":[171],"empirically":[173],"show":[174],"models":[178],"reduce":[183],"error":[185,205],"forecasts.":[188],"The":[189],"importance":[190],"highlighted":[195],"all":[197],"presented":[198],"final":[202],"mean":[203],"absolute":[204],"decreased":[210],"by":[211],"23.8%":[212],"three":[215],"months":[216],"testing":[217],"period.":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}