{"id":"https://openalex.org/W3136928990","doi":"https://doi.org/10.1002/cpe.6263","title":"The forecasting of air transport passenger demands in Turkey by using novel meta\u2010heuristic algorithms","display_name":"The forecasting of air transport passenger demands in Turkey by using novel meta\u2010heuristic algorithms","publication_year":2021,"publication_date":"2021-03-18","ids":{"openalex":"https://openalex.org/W3136928990","doi":"https://doi.org/10.1002/cpe.6263","mag":"3136928990"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.6263","doi":"https://doi.org/10.1002/cpe.6263","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.6263","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"volume":null,"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/A5077938470","display_name":"Ersin Korkmaz","orcid":"https://orcid.org/0000-0003-3725-164X","observed_orcids":["https://orcid.org/0000-0003-3725-164X"]},"institutions":[{"id":"https://openalex.org/I45642913","display_name":"K\u0131r\u0131kkale University","ror":"https://ror.org/01zhwwf82","country_code":"TR","type":"education","lineage":["https://openalex.org/I45642913"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ersin Korkmaz","raw_affiliation_strings":["Engineering Faculty, Department of Civil Engineering, Kirikkale University, Kirikkale, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-3725-164X","affiliations":[{"raw_affiliation_string":"Engineering Faculty, Department of Civil Engineering, Kirikkale University, Kirikkale, Turkey","institution_ids":["https://openalex.org/I45642913"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058120601","display_name":"Ali Pay\u0131dar Akg\u00fcng\u00f6r","orcid":"https://orcid.org/0000-0003-0669-5715","observed_orcids":["https://orcid.org/0000-0003-0669-5715"]},"institutions":[{"id":"https://openalex.org/I45642913","display_name":"K\u0131r\u0131kkale University","ror":"https://ror.org/01zhwwf82","country_code":"TR","type":"education","lineage":["https://openalex.org/I45642913"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Pay\u0131dar Akg\u00fcng\u00f6r","raw_affiliation_strings":["Engineering Faculty, Department of Civil Engineering, Kirikkale University, Kirikkale, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Faculty, Department of Civil Engineering, Kirikkale University, Kirikkale, Turkey","institution_ids":["https://openalex.org/I45642913"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077938470"],"corresponding_institution_ids":["https://openalex.org/I45642913"],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":5.292,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95580644,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"33","issue":"16","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.7461000084877014,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.7461000084877014,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.13259999454021454,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.03610000014305115,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metaheuristic-algorithms","display_name":"metaheuristic algorithms","score":0.8240000009536743},{"id":"https://openalex.org/keywords/flower-pollination-algorithm","display_name":"flower pollination algorithm","score":0.8799999952316284},{"id":"https://openalex.org/keywords/artificial-bee-colony-algorithm","display_name":"artificial bee colony algorithm","score":0.9860000014305115},{"id":"https://openalex.org/keywords/crow-search-algorithm","display_name":"crow search algorithm","score":0.9980000257492065},{"id":"https://openalex.org/keywords/krill-herd-algorithm","display_name":"krill herd algorithm","score":1.0},{"id":"https://openalex.org/keywords/butterfly-optimization-algorithm","display_name":"butterfly optimization algorithm","score":0.9990000128746033},{"id":"https://openalex.org/keywords/fuel-prices","display_name":"fuel prices","score":0.7419999837875366},{"id":"https://openalex.org/keywords/seat-capacity","display_name":"seat capacity","score":0.75},{"id":"https://openalex.org/keywords/fuel-consumption","display_name":"fuel consumption","score":0.5440000295639038},{"id":"https://openalex.org/keywords/gdp-per-capita","display_name":"GDP per capita","score":0.7960000038146973},{"id":"https://openalex.org/keywords/scenario-analysis","display_name":"scenario analysis","score":0.531000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48474594950675964},{"id":"https://openalex.org/C114350782","wikidata":"https://www.wikidata.org/wiki/Q12638","display_name":"Gross domestic product","level":2,"score":0.47997355461120605},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.44630640745162964},{"id":"https://openalex.org/C127598652","wikidata":"https://www.wikidata.org/wiki/Q558635","display_name":"Per capita","level":3,"score":0.44042202830314636},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4248502850532532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4150562882423401},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4116383194923401},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2340221405029297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.221939355134964},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.6263","doi":"https://doi.org/10.1002/cpe.6263","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.6263","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6773999929428101}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1489864235","https://openalex.org/W1606402766","https://openalex.org/W1951290844","https://openalex.org/W1970394262","https://openalex.org/W1985460844","https://openalex.org/W2016210396","https://openalex.org/W2060143536","https://openalex.org/W2080822075","https://openalex.org/W2084421075","https://openalex.org/W2101092672","https://openalex.org/W2111590086","https://openalex.org/W2114652055","https://openalex.org/W2137266317","https://openalex.org/W2306115793","https://openalex.org/W2508177680","https://openalex.org/W2560980972","https://openalex.org/W2566260248","https://openalex.org/W2576697527","https://openalex.org/W2592635388","https://openalex.org/W2593310871","https://openalex.org/W2607805495","https://openalex.org/W2726376769","https://openalex.org/W2764241754","https://openalex.org/W2788379685","https://openalex.org/W2790662215","https://openalex.org/W2810540872","https://openalex.org/W2885799232","https://openalex.org/W2889083964","https://openalex.org/W2893508131","https://openalex.org/W2896457000","https://openalex.org/W2901954278","https://openalex.org/W2903590249","https://openalex.org/W2904707438","https://openalex.org/W2913484127","https://openalex.org/W2914985802","https://openalex.org/W2938532773","https://openalex.org/W2972093761","https://openalex.org/W2982453621","https://openalex.org/W2984191725","https://openalex.org/W3008773008","https://openalex.org/W3014974411","https://openalex.org/W3025841075","https://openalex.org/W3029801266","https://openalex.org/W3031160303","https://openalex.org/W3087509239","https://openalex.org/W3100933494","https://openalex.org/W4210428686","https://openalex.org/W7026684339"],"related_works":["https://openalex.org/W2892312171","https://openalex.org/W4401278645","https://openalex.org/W7026684339","https://openalex.org/W4239446830","https://openalex.org/W2576697527","https://openalex.org/W2560980972","https://openalex.org/W7110566003","https://openalex.org/W4390976779","https://openalex.org/W2806710868","https://openalex.org/W2913484127"],"abstract_inverted_index":{"Abstract":[0],"The":[1,201],"imbalance":[2],"between":[3],"modes":[4],"of":[5,186,203,211,219,250],"transport":[6,88,144,168],"in":[7,17,152],"our":[8],"country":[9],"appears":[10],"as":[11,109],"the":[12,27,51,79,92,110,130,158,181,184,209,212,217,225,241,248],"most":[13],"important":[14,38],"problem.":[15],"Therefore,":[16],"air":[18,87,167],"transportation,":[19],"which":[20,59],"has":[21],"a":[22,153],"significant":[23],"increasing":[24],"trend,":[25],"estimating":[26],"passenger":[28,145,169],"demand":[29,146,170],"with":[30,54],"directly":[31],"related":[32],"parameters":[33],"and":[34,78,103,123,175,192,197,216,234,243],"novel":[35],"algorithms":[36,58],"is":[37,120],"for":[39,50,195],"Turkey.":[40],"In":[41,157,180],"this":[42,134,204],"study,":[43],"different":[44,56,118],"prediction":[45],"models":[46,125],"were":[47,107,138],"developed":[48,116,126],"applying":[49],"first":[52,159],"time":[53],"five":[55],"meta\u2010heuristic":[57],"are":[60],"Flower":[61],"Pollination":[62],"Algorithm":[63,68,72,76,82],"(FPA),":[64],"Artificial":[65],"Bee":[66],"Colony":[67],"(ABC),":[69],"Crow":[70],"Search":[71],"(CSA),":[73],"Krill":[74],"Herd":[75],"(KH),":[77],"Butterfly":[80],"Optimization":[81],"(BOA)":[83],"to":[84,162,208,239],"estimate":[85],"Turkey's":[86,165],"demand.":[89],"While":[90],"developing":[91],"models,":[93,199],"Fuel":[94,105],"Price,":[95],"Gross":[96],"Domestic":[97],"Product":[98],"per":[99],"Capita,":[100],"Seat":[101],"Capacity,":[102],"Annual":[104],"Consumption":[106],"selected":[108],"model":[111,115,163],"parameters.":[112],"Although":[113],"each":[114],"using":[117,127,149],"approaches":[119],"applicable,":[121],"quadratic":[122,196],"power":[124,198],"CSA":[128],"showed":[129],"highest":[131],"performance.":[132],"For":[133],"reason,":[135],"future":[136,166],"projections":[137],"based":[139],"on":[140],"these":[141],"models.":[142],"Air":[143],"was":[147],"examined":[148],"two":[150],"scenarios":[151],"process":[154],"until":[155],"2035.":[156],"scenario,":[160,183],"according":[161],"forms,":[164],"will":[171,188,206,223,229],"reach":[172,189],"about":[173],"460":[174],"490":[176],"million":[177,194],"passengers,":[178],"respectively.":[179,200],"second":[182],"number":[185],"passengers":[187],"approximately":[190],"375":[191],"660":[193],"results":[202],"study":[205],"contribute":[207],"evaluation":[210],"current":[213],"investment":[214],"plans":[215,221],"development":[218],"strategic":[220],"that":[222,247],"meet":[224],"demands.":[226],"Additionally,":[227],"they":[228],"help":[230],"take":[231],"necessary":[232,237],"measures":[233],"introduce":[235],"some":[236],"regulations":[238],"ensure":[240],"income":[242],"expense":[244],"balance":[245],"so":[246],"efficiency":[249],"airline":[251],"companies":[252],"can":[253],"be":[254],"improved.":[255]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-03-29T00:00:00"}
