{"id":"https://openalex.org/W4404295017","doi":"https://doi.org/10.1109/idsta62194.2024.10746998","title":"Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration","display_name":"Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4404295017","doi":"https://doi.org/10.1109/idsta62194.2024.10746998"},"language":"en","primary_location":{"id":"doi:10.1109/idsta62194.2024.10746998","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/idsta62194.2024.10746998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","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/A5017277682","display_name":"Peter J. Bentley","orcid":"https://orcid.org/0000-0001-6744-9302"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Peter J. Bentley","raw_affiliation_strings":["University College London (UCL),Dept. of Computer Science,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London (UCL),Dept. of Computer Science,London,United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111215502","display_name":"Rajat Mathur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajat Mathur","raw_affiliation_strings":["TheSqua.re,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"TheSqua.re,London,United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019035134","display_name":"Soo Ling Lim","orcid":"https://orcid.org/0000-0003-1325-6542"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Soo Ling Lim","raw_affiliation_strings":["University College London (UCL),Dept. of Computer Science,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London (UCL),Dept. of Computer Science,London,United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082120992","display_name":"Sid Narang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sid Narang","raw_affiliation_strings":["TheSqua.re,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"TheSqua.re,London,United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017277682"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.516,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71574187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.1615999937057495,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.1615999937057495,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.13850000500679016,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.12890000641345978,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/accommodation","display_name":"Accommodation","score":0.8558114767074585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.572478175163269},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.5318666696548462},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.4132625460624695},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3308194875717163},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3261607587337494},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2470153570175171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1439838707447052},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07536351680755615}],"concepts":[{"id":"https://openalex.org/C157660682","wikidata":"https://www.wikidata.org/wiki/Q419793","display_name":"Accommodation","level":2,"score":0.8558114767074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.572478175163269},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5318666696548462},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.4132625460624695},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3308194875717163},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3261607587337494},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2470153570175171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1439838707447052},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07536351680755615},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idsta62194.2024.10746998","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/idsta62194.2024.10746998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1999057612","https://openalex.org/W2010760613","https://openalex.org/W2013946069","https://openalex.org/W2090392766","https://openalex.org/W2137070227","https://openalex.org/W2785552914","https://openalex.org/W2890746822","https://openalex.org/W2925282525","https://openalex.org/W2989936006","https://openalex.org/W3213963952","https://openalex.org/W4248163639"],"related_works":["https://openalex.org/W61434238","https://openalex.org/W4248007958","https://openalex.org/W1973833648","https://openalex.org/W2965932060","https://openalex.org/W2498980263","https://openalex.org/W2016762717","https://openalex.org/W4384575630","https://openalex.org/W2126703991","https://openalex.org/W2610897791","https://openalex.org/W4308292299"],"abstract_inverted_index":{"Consumers":[0],"wish":[1],"to":[2,18,100,149,154],"choose":[3],"sustainable":[4,29,61],"accommodation":[5,22,41,121,157,173],"for":[6,28,39,118],"their":[7,156],"travels,":[8],"and":[9,76,123],"in":[10,91],"the":[11,43,85,95,108,136],"case":[12],"of":[13,42,60,97,140],"corporations,":[14],"may":[15],"be":[16],"required":[17],"do":[19],"so.":[20],"Yet":[21],"marketplaces":[23],"provide":[24],"no":[25],"meaningful":[26],"capability":[27],"choice:":[30],"typically":[31],"CO2":[32],"estimates":[33],"are":[34,37],"provided":[35],"that":[36,56],"identical":[38],"all":[40,151],"same":[44],"type":[45],"across":[46],"an":[47],"entire":[48],"country.":[49],"We":[50,63,83,105,147,177],"propose":[51],"a":[52,65,114,119],"decision":[53,115,180],"support":[54,116,181],"system":[55,117,182],"enables":[57],"real":[58,126],"choice":[59],"accommodation.":[62],"develop":[64],"data-driven":[66],"address-specific":[67],"metric":[68,86,109],"called":[69],"EcoGrade,":[70],"which":[71],"integrates":[72],"government":[73],"approved":[74],"datasets":[75],"uses":[77],"interpolation":[78],"where":[79,166],"data":[80],"is":[81,102,144,163,174],"sparse.":[82],"validate":[84],"on":[87],"10,000":[88],"UK":[89],"addresses":[90],"10":[92],"cities,":[93],"showing":[94],"match":[96],"our":[98,179],"interpolations":[99],"reality":[101],"statistically":[103],"significant.":[104],"show":[106],"how":[107],"has":[110],"been":[111],"embedded":[112],"into":[113],"global":[120],"marketplace":[122],"tested":[124],"by":[125],"users":[127],"over":[128],"several":[129],"months":[130],"with":[131],"positive":[132,188],"user":[133],"feedback.":[134],"In":[135],"EU,":[137],"forty":[138],"percent":[139],"final":[141],"energy":[142],"consumption":[143],"from":[145],"buildings.":[146],"need":[148],"encourage":[150,186],"building":[152],"owners":[153],"make":[155],"more":[158],"efficient.":[159],"The":[160],"rental":[161],"sector":[162],"one":[164],"area":[165],"change":[167],"can":[168],"occur":[169],"rapidly,":[170],"as":[171],"rented":[172],"renovated":[175],"frequently.":[176],"anticipate":[178],"using":[183],"EcoGrade":[184],"will":[185],"this":[187],"change.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
