{"id":"https://openalex.org/W4406461587","doi":"https://doi.org/10.1109/bigdata62323.2024.10825121","title":"Demand Modeling for Advanced Air Mobility","display_name":"Demand Modeling for Advanced Air Mobility","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406461587","doi":"https://doi.org/10.1109/bigdata62323.2024.10825121"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5037048698","display_name":"K. Acharya","orcid":"https://orcid.org/0000-0002-9712-0265"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kamal Acharya","raw_affiliation_strings":["University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,US"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,US","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115087398","display_name":"Mehul Lad","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehul Lad","raw_affiliation_strings":["University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,US"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,US","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043777246","display_name":"Liang Sun","orcid":"https://orcid.org/0000-0003-2326-4802"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Sun","raw_affiliation_strings":["Baylor University,Department of Mechanical Engineering,Waco,TX,US"],"affiliations":[{"raw_affiliation_string":"Baylor University,Department of Mechanical Engineering,Waco,TX,US","institution_ids":["https://openalex.org/I157394403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Song","raw_affiliation_strings":["University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,US"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,US","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037048698"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":2.0219,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87649714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2855","last_page":"2863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9919000267982483,"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":0.4709421396255493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4709421396255493}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316895","display_name":"Aeronautics Research Mission Directorate","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W123430343","https://openalex.org/W2051224630","https://openalex.org/W2321707316","https://openalex.org/W2912298805","https://openalex.org/W2950631793","https://openalex.org/W2960484328","https://openalex.org/W3096464902","https://openalex.org/W3125526623","https://openalex.org/W3134758986","https://openalex.org/W4393983110"],"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/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,39,52,84,90,95,112,139,142,154],"rapid":[4],"pace":[5],"of":[6,42,55,86,115,138,156],"urbanization":[7],"has":[8,31],"posed":[9],"profound":[10],"challenges":[11],"globally,":[12],"exacerbating":[13],"environmental":[14],"concerns":[15],"and":[16,70,100,107,141,164,174],"escalating":[17],"traffic":[18],"congestion":[19],"in":[20,77],"metropolitan":[21],"areas.":[22],"To":[23],"mitigate":[24],"these":[25],"issues,":[26],"Advanced":[27],"Air":[28],"Mobility":[29],"(AAM)":[30],"emerged":[32],"as":[33],"a":[34],"promising":[35],"transportation":[36,133],"alternative.":[37],"However,":[38],"effective":[40],"implementation":[41],"AAM":[43,56,130,157],"requires":[44],"robust":[45],"demand":[46,53,78,158],"modeling.":[47],"This":[48],"study":[49,150],"delves":[50],"into":[51],"dynamics":[54],"by":[57],"analyzing":[58],"employment":[59],"based":[60],"trip":[61],"data":[62,173],"across":[63],"Tennessee\u2019s":[64],"census":[65],"tracts,":[66],"employing":[67],"statistical":[68],"techniques":[69],"machine":[71],"learning":[72],"models":[73],"to":[74,110,126],"enhance":[75],"accuracy":[76],"forecasting.":[79],"Drawing":[80],"on":[81,179],"datasets":[82],"from":[83],"Bureau":[85],"Transportation":[87],"Statistics":[88],"(BTS),":[89],"Internal":[91],"Revenue":[92],"Service":[93],"(IRS),":[94],"Federal":[96],"Aviation":[97],"Administration":[98],"(FAA),":[99],"additional":[101],"sources,":[102],"we":[103],"perform":[104],"cost,":[105],"time,":[106],"risk":[108],"assessments":[109],"compute":[111],"Generalized":[113],"Cost":[114],"Trip":[116],"(GCT).":[117],"Our":[118],"findings":[119],"indicate":[120],"that":[121],"trips":[122],"are":[123],"more":[124,145],"likely":[125],"be":[127,177],"viable":[128],"for":[129,135,167],"if":[131],"air":[132],"accounts":[134],"over":[136],"70%":[137],"GCT":[140],"journey":[143],"spans":[144],"than":[146],"250":[147],"miles.":[148],"The":[149,172],"not":[151],"only":[152],"refines":[153],"understanding":[155],"but":[159],"also":[160],"guides":[161],"strategic":[162],"planning":[163],"policy":[165],"formulation":[166],"sustainable":[168],"urban":[169],"mobility":[170],"solutions.":[171],"code":[175],"can":[176],"accessed":[178],"GitHub.":[180],"<sup":[181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
