{"id":"https://openalex.org/W2890544248","doi":"https://doi.org/10.1007/978-981-13-2206-8_29","title":"Predictive Simulation of Airline Passenger Volume Based on Three Models","display_name":"Predictive Simulation of Airline Passenger Volume Based on Three Models","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890544248","doi":"https://doi.org/10.1007/978-981-13-2206-8_29","mag":"2890544248"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-13-2206-8_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-13-2206-8_29","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5031538102","display_name":"Han-tao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han-Tao Yang","raw_affiliation_strings":["Sanya Aviation and Tourism College, Sanya, 572000, Hainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanya Aviation and Tourism College, Sanya, 572000, Hainan, China","institution_ids":["https://openalex.org/I4210149102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100778439","display_name":"Xia Liu","orcid":"https://orcid.org/0000-0001-7190-5032"},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Liu","raw_affiliation_strings":["Sanya Aviation and Tourism College, Sanya, 572000, Hainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanya Aviation and Tourism College, Sanya, 572000, Hainan, China","institution_ids":["https://openalex.org/I4210149102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210149102"],"apc_list":null,"apc_paid":null,"fwci":5.5008,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96476427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.978600025177002,"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":0.978600025177002,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6473892331123352},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6182565689086914},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.6062849164009094},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5886074304580688},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5711091160774231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5296492576599121},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.487473726272583},{"id":"https://openalex.org/keywords/passenger-transport","display_name":"Passenger transport","score":0.46191075444221497},{"id":"https://openalex.org/keywords/civil-aviation","display_name":"Civil aviation","score":0.4597156047821045},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42185139656066895},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.41223573684692383},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3435705602169037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1949438452720642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17017170786857605},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16675686836242676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16306880116462708},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.13494214415550232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10795590281486511}],"concepts":[{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6473892331123352},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6182565689086914},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6062849164009094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5886074304580688},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5711091160774231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5296492576599121},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.487473726272583},{"id":"https://openalex.org/C3018364605","wikidata":"https://www.wikidata.org/wiki/Q7590","display_name":"Passenger transport","level":2,"score":0.46191075444221497},{"id":"https://openalex.org/C512918668","wikidata":"https://www.wikidata.org/wiki/Q206814","display_name":"Civil aviation","level":3,"score":0.4597156047821045},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42185139656066895},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.41223573684692383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3435705602169037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1949438452720642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17017170786857605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16675686836242676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16306880116462708},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.13494214415550232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10795590281486511},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-13-2206-8_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-13-2206-8_29","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2783097502"],"related_works":["https://openalex.org/W4212957699","https://openalex.org/W4386259002","https://openalex.org/W4213075786","https://openalex.org/W4212948585","https://openalex.org/W4213021151","https://openalex.org/W3191198889","https://openalex.org/W2538965848","https://openalex.org/W2802491896","https://openalex.org/W4386780631","https://openalex.org/W3175454233"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}