{"id":"https://openalex.org/W4416799600","doi":"https://doi.org/10.1109/snpd65828.2025.11254832","title":"Method of extracting regional characteristics from travel satisfaction","display_name":"Method of extracting regional characteristics from travel satisfaction","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4416799600","doi":"https://doi.org/10.1109/snpd65828.2025.11254832"},"language":null,"primary_location":{"id":"doi:10.1109/snpd65828.2025.11254832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11254832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5088797128","display_name":"Hiroaki Tsukamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroaki Tsukamoto","raw_affiliation_strings":["Chiba Institute of Technology,Graduate School of Social Systems Science,Chiba,Japan"],"affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology,Graduate School of Social Systems Science,Chiba,Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041766990","display_name":"Motoi Iwashita","orcid":"https://orcid.org/0000-0003-1791-2391"},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoi Iwashita","raw_affiliation_strings":["Chiba Institute of Technology,Dept. of Management Information Science,Chiba,Japan"],"affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology,Dept. of Management Information Science,Chiba,Japan","institution_ids":["https://openalex.org/I8488066"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088797128"],"corresponding_institution_ids":["https://openalex.org/I8488066"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49308927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13729","display_name":"Korean Urban and Social Studies","score":0.09109999984502792,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13729","display_name":"Korean Urban and Social Studies","score":0.09109999984502792,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11955","display_name":"Urban and spatial planning","score":0.0731000006198883,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14101","display_name":"Financial Crisis of the 21st Century","score":0.05350000038743019,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"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/attractiveness","display_name":"Attractiveness","score":0.8052999973297119},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.7135999798774719},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6559000015258789},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.5105000138282776},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4731999933719635},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.35929998755455017}],"concepts":[{"id":"https://openalex.org/C31173074","wikidata":"https://www.wikidata.org/wiki/Q2632514","display_name":"Attractiveness","level":2,"score":0.8052999973297119},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.7135999798774719},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6559000015258789},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.5105000138282776},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4731999933719635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4050999879837036},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3935999870300293},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3617999851703644},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C2988250419","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Consumer satisfaction","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C39896193","wikidata":"https://www.wikidata.org/wiki/Q380344","display_name":"Descriptive statistics","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C73945780","wikidata":"https://www.wikidata.org/wiki/Q814232","display_name":"Survey methodology","level":2,"score":0.26649999618530273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd65828.2025.11254832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11254832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2319096277","https://openalex.org/W4392941103"],"related_works":[],"abstract_inverted_index":{"In":[0,36,56,88],"order":[1],"to":[2,9,20,30,42,61,74,77,93,128,140,155,167],"cope":[3],"with":[4],"the":[5,10,22,44,79,82,95,102,137,157,174,187,193],"changed":[6],"tourism":[7,27],"due":[8],"Corona":[11],"Disaster,":[12],"new":[13],"perspectives":[14],"and":[15,29,49,73,125,151],"analytical":[16],"methods":[17],"are":[18,70,123],"required":[19],"make":[21],"best":[23],"use":[24],"of":[25,46,67,81,97,104,119,176,189,195],"regional":[26],"resources":[28],"enhance":[31,78],"competitiveness":[32],"among":[33,178],"tourist":[34],"destinations.":[35],"other":[37],"words,":[38],"it":[39,58,145,163],"is":[40,59,112,164],"important":[41],"clarify":[43],"characteristics":[45,96],"each":[47],"region":[48,100,111],"construct":[50,129],"specific":[51],"measures":[52,76,169,184],"based":[53,84,185],"on":[54,85,173,186],"them.":[55],"addition,":[57],"necessary":[60],"understand":[62],"in":[63],"detail":[64],"what":[65],"kind":[66],"points":[68],"travelers":[69],"satisfied":[71],"with,":[72],"take":[75],"attractiveness":[80],"destination":[83],"such":[86],"information.":[87],"this":[89,161],"study,":[90],"a":[91,98,120,130,141,153],"method":[92,154],"extract":[94],"certain":[99,142],"from":[101,192],"level":[103,188],"satisfaction":[105,115,132,138,190],"that":[106,110],"tourists":[107],"feel":[108],"toward":[109],"proposed.":[113],"Specifically,":[114],"factors":[116],"by":[117,146,171],"means":[118],"descriptive":[121],"questionnaire":[122],"extracted":[124],"classified":[126],"them":[127],"three-level":[131],"model.":[133],"Next,":[134],"we":[135],"applied":[136],"model":[139],"region,":[143],"analyzed":[144],"structural":[147],"equation":[148],"modeling":[149],"(SEM),":[150],"devised":[152],"evaluate":[156],"results.":[158],"By":[159],"applying":[160],"method,":[162],"now":[165],"possible":[166],"examine":[168],"efficiently":[170],"focusing":[172],"degree":[175],"influence":[177],"factors,":[179],"rather":[180],"than":[181],"simply":[182],"examining":[183],"obtained":[191],"results":[194],"traveler":[196],"questionnaires.":[197]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}