{"id":"https://openalex.org/W4392518374","doi":"https://doi.org/10.3390/app14052209","title":"The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities","display_name":"The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities","publication_year":2024,"publication_date":"2024-03-06","ids":{"openalex":"https://openalex.org/W4392518374","doi":"https://doi.org/10.3390/app14052209"},"language":"en","primary_location":{"id":"doi:10.3390/app14052209","doi":"https://doi.org/10.3390/app14052209","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14052209","pdf_url":"https://www.mdpi.com/2076-3417/14/5/2209/pdf?version=1709731075","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/14/5/2209/pdf?version=1709731075","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033447199","display_name":"F\u00e1tima Trindade Neves","orcid":"https://orcid.org/0000-0003-1778-9717","observed_orcids":["https://orcid.org/0000-0003-1778-9717"]},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"F\u00e1tima Trindade Neves","raw_affiliation_strings":["NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL), Campus de Campolide, 1070-312 Lisboa, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-1778-9717","affiliations":[{"raw_affiliation_string":"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL), Campus de Campolide, 1070-312 Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061027683","display_name":"Manuela Apar\u00edcio","orcid":"https://orcid.org/0000-0003-4261-0344","observed_orcids":["https://orcid.org/0000-0003-4261-0344"]},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Manuela Aparicio","raw_affiliation_strings":["NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL), Campus de Campolide, 1070-312 Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL), Campus de Campolide, 1070-312 Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044712567","display_name":"Miguel de Castro Neto","orcid":"https://orcid.org/0000-0002-7265-3890","observed_orcids":["https://orcid.org/0000-0002-7265-3890"]},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Miguel de Castro Neto","raw_affiliation_strings":["NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL), Campus de Campolide, 1070-312 Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa (UNL), Campus de Campolide, 1070-312 Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033447199"],"corresponding_institution_ids":["https://openalex.org/I83558840"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2728},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2728},"fwci":16.9956,"has_fulltext":true,"cited_by_count":60,"citation_normalized_percentile":{"value":0.99432951,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"14","issue":"5","first_page":"2209","last_page":"2209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"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/T10632","display_name":"Housing Market and Economics","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13920","display_name":"Urban Planning and Valuation","score":0.0071000000461936,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.005200000014156103,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/house-price-prediction","display_name":"house price prediction","score":0.9879999756813049},{"id":"https://openalex.org/keywords/open-data","display_name":"open data","score":0.8960000276565552},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.9350000023841858},{"id":"https://openalex.org/keywords/smart-cities","display_name":"smart cities","score":0.968999981880188},{"id":"https://openalex.org/keywords/housing-market","display_name":"housing market","score":0.8679999709129333},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8899999856948853},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.843999981880188},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.6060000061988831},{"id":"https://openalex.org/keywords/urban-planning","display_name":"urban planning","score":0.7490000128746033},{"id":"https://openalex.org/keywords/urban-development-policy","display_name":"urban development policy","score":0.5429999828338623}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.42264077067375183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36503392457962036},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3466989994049072},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33156388998031616},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.15791556239128113}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/app14052209","doi":"https://doi.org/10.3390/app14052209","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14052209","pdf_url":"https://www.mdpi.com/2076-3417/14/5/2209/pdf?version=1709731075","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:937e8acfdec84b02ac0171bcfb66c7e3","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/937e8acfdec84b02ac0171bcfb66c7e3","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 14, Iss 5, p 2209 (2024)","raw_type":"article"},{"id":"pmh:oai:run.unl.pt:10362/164626","doi":null,"is_oa":true,"landing_page_url":"https://www.scopus.com/pages/publications/85192456613","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.3390/app14052209","doi":"https://doi.org/10.3390/app14052209","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app14052209","pdf_url":"https://www.mdpi.com/2076-3417/14/5/2209/pdf?version=1709731075","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9333000183105469,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G84549046","display_name":"Centro de Investiga\u00e7\u00e3o em Gest\u00e3o de Informa\u00e7\u00e3o","funder_award_id":"UIDB/04152/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392518374.pdf","grobid_xml":"https://content.openalex.org/works/W4392518374.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W575847903","https://openalex.org/W1585983533","https://openalex.org/W1678356000","https://openalex.org/W2282821441","https://openalex.org/W2295598076","https://openalex.org/W2618851150","https://openalex.org/W2754756389","https://openalex.org/W2786598843","https://openalex.org/W2803321336","https://openalex.org/W2805819406","https://openalex.org/W2905162522","https://openalex.org/W2912275277","https://openalex.org/W2912494098","https://openalex.org/W2917130929","https://openalex.org/W2949676527","https://openalex.org/W2951282667","https://openalex.org/W2964303497","https://openalex.org/W2981731882","https://openalex.org/W2999615587","https://openalex.org/W3017564172","https://openalex.org/W3040699571","https://openalex.org/W3083942313","https://openalex.org/W3088897126","https://openalex.org/W3092089460","https://openalex.org/W3093949277","https://openalex.org/W3093985594","https://openalex.org/W3118899449","https://openalex.org/W3123930234","https://openalex.org/W3129524391","https://openalex.org/W3131580611","https://openalex.org/W3132460254","https://openalex.org/W3153734228","https://openalex.org/W3155753394","https://openalex.org/W3162265364","https://openalex.org/W3166976141","https://openalex.org/W3185488975","https://openalex.org/W3200404759","https://openalex.org/W3208497064","https://openalex.org/W3217321523","https://openalex.org/W4200385155","https://openalex.org/W4205463683","https://openalex.org/W4211207248","https://openalex.org/W4214853082","https://openalex.org/W4220868580","https://openalex.org/W4229021609","https://openalex.org/W4229336790","https://openalex.org/W4280524400","https://openalex.org/W4280555306","https://openalex.org/W4283077289","https://openalex.org/W4288350322","https://openalex.org/W4289782123","https://openalex.org/W4292451778","https://openalex.org/W4293765820","https://openalex.org/W4294608596","https://openalex.org/W4295954054","https://openalex.org/W4306250693","https://openalex.org/W4307633330","https://openalex.org/W4307724963","https://openalex.org/W4310721062","https://openalex.org/W4312221905","https://openalex.org/W4317930631","https://openalex.org/W4321377319","https://openalex.org/W4323671079","https://openalex.org/W4324100926","https://openalex.org/W4324356857","https://openalex.org/W4360985272","https://openalex.org/W4362611851","https://openalex.org/W4365147427","https://openalex.org/W4366990306","https://openalex.org/W4372231831","https://openalex.org/W4376869851","https://openalex.org/W4376880182","https://openalex.org/W4378981991","https://openalex.org/W4379535647","https://openalex.org/W4379800150","https://openalex.org/W4380203594","https://openalex.org/W4385623509","https://openalex.org/W4385636757","https://openalex.org/W4385721843","https://openalex.org/W4385980625","https://openalex.org/W4386385416","https://openalex.org/W4386775125","https://openalex.org/W4387187512","https://openalex.org/W4387236908","https://openalex.org/W4387972748","https://openalex.org/W4388188452","https://openalex.org/W4388362341","https://openalex.org/W4388660682","https://openalex.org/W4390356010","https://openalex.org/W4400709224"],"related_works":["https://openalex.org/W7220239969","https://openalex.org/W4387972748","https://openalex.org/W7131239540","https://openalex.org/W4404690921","https://openalex.org/W4404752997","https://openalex.org/W4410918774","https://openalex.org/W4416649901","https://openalex.org/W7170182763","https://openalex.org/W4416939235","https://openalex.org/W4410854004"],"abstract_inverted_index":{"In":[0],"the":[1,50,68,107,161,169,194,199,206,234],"rapidly":[2],"evolving":[3],"landscape":[4],"of":[5,53,72,125,163,171,190,196,201,210,237],"urban":[6,38,212],"development,":[7,213],"where":[8],"smart":[9,78,238],"cities":[10],"increasingly":[11],"rely":[12],"on":[13,81,174],"artificial":[14],"intelligence":[15],"(AI)":[16],"solutions":[17],"to":[18,24,37,66,88,111,146,159,219],"address":[19,160],"complex":[20],"challenges,":[21],"using":[22],"AI":[23,64],"accurately":[25],"predict":[26],"real":[27,73,148,185,224],"estate":[28,74,149,186,225],"prices":[29],"becomes":[30],"a":[31,120],"multifaceted":[32],"and":[33,40,59,70,177,181,198,208,222,229],"crucial":[34],"task":[35],"integral":[36],"planning":[39],"economic":[41],"development.":[42],"This":[43,139,166],"paper":[44],"delves":[45],"into":[46,96],"this":[47,191],"endeavor,":[48],"highlighting":[49],"transformative":[51],"impact":[52],"specifically":[54],"chosen":[55],"contextual":[56],"open":[57,93,136,143,202],"data":[58,94,137,203],"recent":[60],"advances":[61],"in":[62,183,204],"eXplainable":[63],"(XAI)":[65],"improve":[67],"accuracy":[69],"transparency":[71,162,207],"price":[75,150,175],"predictions":[76],"within":[77],"cities.":[79,239],"Focusing":[80],"Lisbon\u2019s":[82],"dynamic":[83],"housing":[84],"market":[85],"from":[86],"2018":[87],"2021,":[89],"we":[90,153],"integrate":[91],"diverse":[92],"sources":[95],"an":[97],"eXtreme":[98],"Gradient":[99],"Boosting":[100],"(XGBoost)":[101],"machine":[102],"learning":[103],"model":[104,118],"optimized":[105],"with":[106],"Optuna":[108],"hyperparameter":[109],"framework":[110],"enhance":[112],"its":[113],"predictive":[114],"precision.":[115],"Our":[116],"initial":[117],"achieved":[119],"Mean":[121],"Absolute":[122],"Error":[123],"(MAE)":[124],"EUR":[126],"51,733.88,":[127],"which":[128],"was":[129],"significantly":[130],"reduced":[131],"by":[132],"8.24%":[133],"upon":[134],"incorporating":[135],"features.":[138],"substantial":[140],"improvement":[141],"underscores":[142],"data\u2019s":[144],"potential":[145],"boost":[147],"predictions.":[151],"Additionally,":[152],"employed":[154],"SHapley":[155],"Additive":[156],"exPlanations":[157],"(SHAP)":[158],"our":[164],"model.":[165],"approach":[167],"clarifies":[168],"influence":[170],"each":[172],"predictor":[173],"estimates":[176],"fosters":[178],"enhanced":[179],"accountability":[180],"trust":[182],"AI-driven":[184,211],"analytics.":[187],"The":[188],"findings":[189],"study":[192],"emphasize":[193],"role":[195],"XAI":[197],"value":[200],"enhancing":[205],"efficacy":[209],"explicitly":[214],"demonstrating":[215],"how":[216],"they":[217],"contribute":[218],"more":[220],"accurate":[221],"insightful":[223],"analytics,":[226],"thereby":[227],"informing":[228],"improving":[230],"policy":[231],"decisions":[232],"for":[233],"sustainable":[235],"development":[236]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-03-07T00:00:00"}