{"id":"https://openalex.org/W2897276459","doi":"https://doi.org/10.1145/3264746.3264781","title":"Travel planning problem considering site selection and itinerary making","display_name":"Travel planning problem considering site selection and itinerary making","publication_year":2018,"publication_date":"2018-10-09","ids":{"openalex":"https://openalex.org/W2897276459","doi":"https://doi.org/10.1145/3264746.3264781","mag":"2897276459"},"language":"en","primary_location":{"id":"doi:10.1145/3264746.3264781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264746.3264781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","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/A5100545788","display_name":"Du Jiaoman","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Du Jiaoman","raw_affiliation_strings":["Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065422134","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-1857-8233"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li Lei","raw_affiliation_strings":["Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015227261","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-2694-1250"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xiang","raw_affiliation_strings":["Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100545788"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.7391,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78365555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/site-selection","display_name":"Site selection","score":0.6719048023223877},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6649515628814697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6335499286651611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2304675281047821}],"concepts":[{"id":"https://openalex.org/C2780561860","wikidata":"https://www.wikidata.org/wiki/Q7531796","display_name":"Site selection","level":2,"score":0.6719048023223877},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6649515628814697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6335499286651611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2304675281047821},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3264746.3264781","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264746.3264781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W307896644","https://openalex.org/W1972755385","https://openalex.org/W1990222692","https://openalex.org/W1990793881","https://openalex.org/W2020608533","https://openalex.org/W2021690776","https://openalex.org/W2029681015","https://openalex.org/W2034329931","https://openalex.org/W2045610944","https://openalex.org/W2046280257","https://openalex.org/W2046550886","https://openalex.org/W2049614971","https://openalex.org/W2058777262","https://openalex.org/W2059536960","https://openalex.org/W2071573772","https://openalex.org/W2094688336","https://openalex.org/W2100918166","https://openalex.org/W2109720027","https://openalex.org/W2121786531","https://openalex.org/W2129380263","https://openalex.org/W2135149549","https://openalex.org/W2323627046","https://openalex.org/W2341171179","https://openalex.org/W2344208292","https://openalex.org/W2415259406","https://openalex.org/W2606056921","https://openalex.org/W2964290823","https://openalex.org/W2982516619","https://openalex.org/W4211007335","https://openalex.org/W4243277671"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Tourism":[0],"development":[1],"has":[2],"become":[3],"indispensable":[4],"activity":[5],"for":[6,20],"people's":[7],"daily":[8],"life,":[9],"especially":[10],"self-driving":[11,21,52],"travel.":[12],"We":[13],"study":[14],"destination":[15,35,45,71],"choice":[16,36],"and":[17,76,92,121,154],"itinerary":[18,53,59],"problem":[19,55,65],"travel":[22,44,70,99,150],"planning.":[23],"A":[24,105],"fuzzy":[25],"analytic":[26],"hierarchy":[27],"process":[28],"(FAHP)":[29],"is":[30,115,152],"utilized":[31],"to":[32,40,56,102],"solve":[33],"the":[34,41,49,58,83,98,119,124,139,147],"problem.":[37],"Then,":[38,94],"according":[39,101],"priority":[42],"of":[43,51,85,126,138,141,149],"schemes,":[46],"we":[47,129],"formulate":[48],"model":[50],"arrangement":[54],"determine":[57,69],"by":[60],"quantitative":[61],"criteria.":[62],"This":[63],"proposed":[64],"can":[66,96],"not":[67],"only":[68],"scheme,":[72],"hotel":[73],"choice,":[74],"tour":[75],"resting":[77,87],"break":[78,88],"time,":[79],"but":[80],"also":[81],"discuss":[82],"effect":[84],"differ":[86],"time":[89],"on":[90,136],"cost":[91],"time.":[93],"tourists":[95],"choose":[97],"planning":[100,151],"their":[103],"taste.":[104],"dynamic":[106],"programming":[107],"integrated":[108],"with":[109],"an":[110],"efficient":[111],"constraint":[112],"inspection":[113],"procedure":[114],"presented.":[116],"To":[117],"illustrate":[118],"practicability":[120],"validity":[122],"through":[123],"use":[125],"our":[127],"methodology,":[128],"present":[130],"results":[131,144],"from":[132],"numerical":[133],"experiments":[134],"based":[135],"networks":[137],"sites":[140],"Japan.":[142],"The":[143],"show":[145],"that":[146],"design":[148],"applicable":[153],"effective.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
