{"id":"https://openalex.org/W4405196388","doi":"https://doi.org/10.1080/01605682.2024.2433191","title":"A novel untapped flight segment flow prediction framework based on graph deep learning and heuristic algorithm for sustainable transport development","display_name":"A novel untapped flight segment flow prediction framework based on graph deep learning and heuristic algorithm for sustainable transport development","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4405196388","doi":"https://doi.org/10.1080/01605682.2024.2433191"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2024.2433191","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2024.2433191","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-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/A5100327244","display_name":"Linlin Chen","orcid":"https://orcid.org/0000-0002-3173-2859"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Chen","raw_affiliation_strings":["Xiamen University","Xiamen University, Xiamen China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen University, Xiamen China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073824526","display_name":"Shuihua Han","orcid":"https://orcid.org/0000-0003-1374-3885"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuihua Han","raw_affiliation_strings":["Xiamen University","Xiamen University, Xiamen China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen University, Xiamen China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023290544","display_name":"Shivam Gupta","orcid":"https://orcid.org/0000-0002-2714-4958"},"institutions":[{"id":"https://openalex.org/I1289910757","display_name":"NEOMA Business School","ror":"https://ror.org/01g1pe685","country_code":"FR","type":"education","lineage":["https://openalex.org/I1289910757"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Shivam Gupta","raw_affiliation_strings":["NEOMA Business School","NEOMA Business School, Reims, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEOMA Business School","institution_ids":["https://openalex.org/I1289910757"]},{"raw_affiliation_string":"NEOMA Business School, Reims, France","institution_ids":["https://openalex.org/I1289910757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005452016","display_name":"Uthayasankar Sivarajah","orcid":"https://orcid.org/0000-0002-6401-540X"},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]},{"id":"https://openalex.org/I4210154901","display_name":"Kingston University","ror":"https://ror.org/0517ce304","country_code":"US","type":"education","lineage":["https://openalex.org/I4210154901"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Uthayasankar Sivarajah","raw_affiliation_strings":["Kingston University London, Kingston Business School","Kingston University London, Kingston Business School, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kingston University London, Kingston Business School","institution_ids":["https://openalex.org/I205051169","https://openalex.org/I4210154901"]},{"raw_affiliation_string":"Kingston University London, Kingston Business School, London, United Kingdom","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003168340","display_name":"Fred A. Yamoah","orcid":"https://orcid.org/0000-0001-6368-7952"},"institutions":[{"id":"https://openalex.org/I19668297","display_name":"Buckinghamshire New University","ror":"https://ror.org/02q3bak66","country_code":"GB","type":"education","lineage":["https://openalex.org/I19668297"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fred A. Yamoah","raw_affiliation_strings":["Buckinghamshire New University, High Wycombe Campus","Buckinghamshire New University, High Wycombe Campus, Buckinghamshire, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Buckinghamshire New University, High Wycombe Campus","institution_ids":["https://openalex.org/I19668297"]},{"raw_affiliation_string":"Buckinghamshire New University, High Wycombe Campus, Buckinghamshire, United Kingdom","institution_ids":["https://openalex.org/I19668297"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073824526"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.3607,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57222972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"76","issue":"7","first_page":"1338","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12095","display_name":"Vehicle emissions and performance","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461761593818665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.506517767906189},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.49087077379226685},{"id":"https://openalex.org/keywords/sustainable-development","display_name":"Sustainable development","score":0.45598605275154114},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44814062118530273},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4240979850292206},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4041884243488312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3991861641407013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35637712478637695},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1638091504573822},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1497848927974701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461761593818665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.506517767906189},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49087077379226685},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.45598605275154114},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44814062118530273},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4240979850292206},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4041884243488312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3991861641407013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35637712478637695},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1638091504573822},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1497848927974701},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01605682.2024.2433191","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2024.2433191","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:eprints.kingston.ac.uk:56465","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2060143536","https://openalex.org/W2160573593","https://openalex.org/W2162988664","https://openalex.org/W2793146237","https://openalex.org/W2884738862","https://openalex.org/W2904832339","https://openalex.org/W2956801422","https://openalex.org/W2964015378","https://openalex.org/W2980971193","https://openalex.org/W2989567700","https://openalex.org/W2998652672","https://openalex.org/W3004515714","https://openalex.org/W3008197164","https://openalex.org/W3011364549","https://openalex.org/W3027983943","https://openalex.org/W3080284469","https://openalex.org/W3087813748","https://openalex.org/W3096576185","https://openalex.org/W3097349949","https://openalex.org/W3103720336","https://openalex.org/W3109146615","https://openalex.org/W3109641554","https://openalex.org/W3133816501","https://openalex.org/W3148507594","https://openalex.org/W3169232624","https://openalex.org/W3210002883","https://openalex.org/W4200311003","https://openalex.org/W4210497946","https://openalex.org/W4213105815","https://openalex.org/W4223549822","https://openalex.org/W4283390308","https://openalex.org/W4284977760","https://openalex.org/W4285302049","https://openalex.org/W4293428450","https://openalex.org/W4293764473","https://openalex.org/W4294643517","https://openalex.org/W4297282267","https://openalex.org/W4297733535","https://openalex.org/W4313291741","https://openalex.org/W4313855753","https://openalex.org/W4321442777","https://openalex.org/W4378714768","https://openalex.org/W4382877508","https://openalex.org/W4385618374","https://openalex.org/W4396673417"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W1536056491","https://openalex.org/W2041180560"],"abstract_inverted_index":{"This":[0],"study":[1],"explores":[2],"a":[3,33,37,45],"novel":[4],"machine":[5],"learning":[6],"framework":[7,76],"for":[8,86],"predicting":[9,83],"the":[10,18,23,42,74,110,116,127,130,139,144,148],"flow":[11,27,85,103],"of":[12,25,44,129,138,151],"untapped":[13,155],"flight":[14,88],"segments,":[15,89],"focusing":[16],"on":[17,101],"unique":[19],"challenges":[20],"posed":[21],"by":[22],"absence":[24],"historical":[26,102],"data":[28],"in":[29,81,154],"airline":[30],"networks.":[31],"Utilizing":[32],"real-world":[34],"datasets":[35],"from":[36],"major":[38],"airline,":[39],"we":[40,106,133],"evaluate":[41],"performance":[43],"graph":[46],"deep":[47],"learning-based":[48],"approach":[49],"that":[50,73,99,108,142],"combines":[51],"Multi-Graph":[52],"Attention":[53],"Networks":[54],"(MGAT)":[55],"and":[56],"Long":[57],"Short-Term":[58],"Memory":[59],"(LSTM)":[60],"networks,":[61],"as":[62,64],"well":[63],"Nondominated":[65],"Sorting":[66],"Genetic":[67],"Algorithm":[68],"II.":[69],"The":[70],"results":[71],"demonstrate":[72],"proposed":[75],"significantly":[77],"outperforms":[78],"traditional":[79],"models":[80,98],"accurately":[82],"passenger":[84],"new":[87],"particularly":[90],"when":[91],"compared":[92],"to":[93],"statistical":[94],"benchmarks":[95],"like":[96],"time-series":[97],"rely":[100],"data.":[104],"Moreover,":[105],"find":[107],"optimizing":[109],"affinity":[111],"coefficients":[112],"within":[113],"MGAT":[114],"using":[115],"NSGA-":[117],"II":[118],"not":[119],"only":[120],"enhances":[121],"predictive":[122],"accuracy":[123],"but":[124],"also":[125],"improves":[126],"interpretability":[128],"model.":[131],"Finally,":[132],"provide":[134],"an":[135],"in-depth":[136],"analysis":[137],"key":[140],"factor":[141],"influence":[143],"predicted":[145],"outcomes,":[146],"highlighting":[147],"critical":[149],"role":[150],"market":[152],"competition":[153],"segment":[156],"operations.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}