{"id":"https://openalex.org/W2000578571","doi":"https://doi.org/10.1155/2014/560919","title":"Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory","display_name":"Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2000578571","doi":"https://doi.org/10.1155/2014/560919","mag":"2000578571","pmid":"https://pubmed.ncbi.nlm.nih.gov/25431585"},"language":"en","primary_location":{"id":"doi:10.1155/2014/560919","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/560919","pdf_url":"https://downloads.hindawi.com/journals/cin/2014/560919.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2014/560919.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080939756","display_name":"Long Cheng","orcid":"https://orcid.org/0000-0003-3720-4093"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Cheng","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China"],"raw_orcid":"https://orcid.org/0000-0003-3720-4093","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071671094","display_name":"Xuewu Chen","orcid":"https://orcid.org/0000-0002-2334-9702"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewu Chen","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081081539","display_name":"Ming Wei","orcid":"https://orcid.org/0000-0002-7894-5843"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Wei","raw_affiliation_strings":["School of Transportation, Nantong University, Nantong 226019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation, Nantong University, Nantong 226019, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424095","display_name":"Jingxian Wu","orcid":"https://orcid.org/0000-0002-9588-814X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxian Wu","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034061180","display_name":"Xianyao Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyao Hou","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou No. 2, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080939756"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.3672,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.62145079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2014","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/rough-set","display_name":"Rough set","score":0.6847932934761047},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.6843744516372681},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.5988179445266724},{"id":"https://openalex.org/keywords/mode-choice","display_name":"Mode choice","score":0.5898229479789734},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5874451398849487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5311134457588196},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5096609592437744},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.47530636191368103},{"id":"https://openalex.org/keywords/econometric-model","display_name":"Econometric model","score":0.4396122694015503},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4190748333930969},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3469119668006897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3358978033065796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31558188796043396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27390623092651367},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20942074060440063},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.13234415650367737},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.12283730506896973},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10649469494819641}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6847932934761047},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.6843744516372681},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.5988179445266724},{"id":"https://openalex.org/C2776017872","wikidata":"https://www.wikidata.org/wiki/Q3226683","display_name":"Mode choice","level":3,"score":0.5898229479789734},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5874451398849487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5311134457588196},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5096609592437744},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.47530636191368103},{"id":"https://openalex.org/C180075932","wikidata":"https://www.wikidata.org/wiki/Q5333342","display_name":"Econometric model","level":2,"score":0.4396122694015503},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4190748333930969},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3469119668006897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3358978033065796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31558188796043396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27390623092651367},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20942074060440063},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.13234415650367737},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.12283730506896973},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10649469494819641},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002755","descriptor_name":"Choice Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005191","descriptor_name":"Family Characteristics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005191","descriptor_name":"Family Characteristics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005191","descriptor_name":"Family Characteristics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012449","descriptor_name":"Safety","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012449","descriptor_name":"Safety","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012449","descriptor_name":"Safety","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012718","descriptor_name":"Set, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012718","descriptor_name":"Set, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012718","descriptor_name":"Set, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012923","descriptor_name":"Social Class","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012923","descriptor_name":"Social Class","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012923","descriptor_name":"Social Class","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014195","descriptor_name":"Travel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014195","descriptor_name":"Travel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014195","descriptor_name":"Travel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1155/2014/560919","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/560919","pdf_url":"https://downloads.hindawi.com/journals/cin/2014/560919.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:25431585","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25431585","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:archive.ugent.be:8639095","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8639095","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISSN: 1687-5273","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:d6e53c401b854cf8a680f585d8d1ab27","is_oa":false,"landing_page_url":"https://doaj.org/article/d6e53c401b854cf8a680f585d8d1ab27","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2014 (2014)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3212378","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4241256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2014/560919","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/560919","pdf_url":"https://downloads.hindawi.com/journals/cin/2014/560919.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.6000000238418579,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G2175932022","display_name":null,"funder_award_id":"51178109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3028828187","display_name":null,"funder_award_id":"2012CB725402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8849880930","display_name":null,"funder_award_id":"2012CB725402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2000578571.pdf","grobid_xml":"https://content.openalex.org/works/W2000578571.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W7023465","https://openalex.org/W128455981","https://openalex.org/W646777059","https://openalex.org/W1479892260","https://openalex.org/W1533530351","https://openalex.org/W1550812296","https://openalex.org/W1557923305","https://openalex.org/W1570448133","https://openalex.org/W1592571746","https://openalex.org/W1607225427","https://openalex.org/W1936340546","https://openalex.org/W1966962088","https://openalex.org/W1972725533","https://openalex.org/W1973129089","https://openalex.org/W1988005902","https://openalex.org/W1988897392","https://openalex.org/W2005496942","https://openalex.org/W2006955106","https://openalex.org/W2018930518","https://openalex.org/W2027870918","https://openalex.org/W2058879468","https://openalex.org/W2078901196","https://openalex.org/W2081345313","https://openalex.org/W2081762866","https://openalex.org/W2104757522","https://openalex.org/W2108319525","https://openalex.org/W2143040521","https://openalex.org/W2143451122","https://openalex.org/W2241930630","https://openalex.org/W2966207845","https://openalex.org/W4255833381","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W248217186","https://openalex.org/W2606769752","https://openalex.org/W121134219","https://openalex.org/W4308497264","https://openalex.org/W2009117960","https://openalex.org/W1966004773","https://openalex.org/W2043649051","https://openalex.org/W2384678397","https://openalex.org/W2036746233","https://openalex.org/W3130964826"],"abstract_inverted_index":{"Most":[0],"traditional":[1],"mode":[2,19,55,120,131,166,197],"choice":[3,20,121,198],"models":[4],"are":[5,125,168],"based":[6],"on":[7,88,195],"the":[8,32,37,44,68,76,105,141,179,185],"principle":[9],"of":[10,35,48,70,82,107],"random":[11],"utility":[12],"maximization":[13],"derived":[14],"from":[15,31,133],"econometric":[16],"theory.":[17],"Alternatively,":[18],"modeling":[21],"can":[22],"be":[23],"regarded":[24],"as":[25],"a":[26],"pattern":[27],"recognition":[28],"problem":[29],"reflected":[30],"explanatory":[33],"variables":[34],"determining":[36],"choices":[38,56,132,167],"between":[39],"alternatives.":[40],"The":[41,73,100,146,157],"paper":[42],"applies":[43],"knowledge":[45,101],"discovery":[46],"technique":[47],"rough":[49,147,186],"sets":[50,148,187],"theory":[51],"to":[52,66,128,163],"model":[53,96,149,181,188],"travel":[54,63,78,93,130,165,196],"incorporating":[57],"household":[58,90,171],"and":[59,62,65,91,98,140,153,174,193],"individual":[60,92],"sociodemographics":[61],"information,":[64],"identify":[67],"significance":[69],"each":[71,117],"attribute.":[72],"study":[74],"uses":[75],"detailed":[77],"diary":[79],"survey":[80],"data":[81],"Changxing":[83],"county":[84],"which":[85,114],"contains":[86],"information":[87,134],"both":[89],"behaviors":[94],"for":[95],"estimation":[97],"evaluation.":[99],"is":[102,144],"presented":[103],"in":[104],"form":[106],"easily":[108],"understood":[109],"IF-THEN":[110],"statements":[111],"or":[112],"rules":[113,124],"reveal":[115],"how":[116],"attribute":[118],"influences":[119],"behavior.":[122],"These":[123],"then":[126],"used":[127],"predict":[129],"held":[135],"about":[136],"previously":[137],"unseen":[138],"individuals":[139],"classification":[142],"performance":[143],"assessed.":[145],"shows":[150],"high":[151],"robustness":[152],"good":[154],"predictive":[155],"ability.":[156],"most":[158],"significant":[159],"condition":[160],"attributes":[161],"identified":[162],"determine":[164],"gender,":[169],"distance,":[170],"annual":[172],"income,":[173],"occupation.":[175],"Comparative":[176],"evaluation":[177],"with":[178],"MNL":[180],"also":[182],"proves":[183],"that":[184],"gives":[189],"superior":[190],"prediction":[191],"accuracy":[192],"coverage":[194],"modeling.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}