{"id":"https://openalex.org/W4415974453","doi":"https://doi.org/10.1016/j.procs.2025.09.415","title":"Smart Zoning for Enhanced Urban Safety: Crime Risk Assessment Using Unsupervised Learning","display_name":"Smart Zoning for Enhanced Urban Safety: Crime Risk Assessment Using Unsupervised Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974453","doi":"https://doi.org/10.1016/j.procs.2025.09.415"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.415","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.415","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.415","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sabina-Petru\u0163a Mure\u015fan","orcid":null},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sabina-Petru\u0163a Mure\u015fan","raw_affiliation_strings":["Babe\u015f-Bolyai University, M. Kog\u0103lniceanu 1 Street, Cluj-Napoca 400347, Romania"],"affiliations":[{"raw_affiliation_string":"Babe\u015f-Bolyai University, M. Kog\u0103lniceanu 1 Street, Cluj-Napoca 400347, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119918496","display_name":"Matei-Vasile C\u0103p\u00eelna\u0219","orcid":"https://orcid.org/0009-0004-5869-783X"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Matei-Vasile C\u0103p\u00eelna\u015f","raw_affiliation_strings":["Babe\u015f-Bolyai University, M. Kog\u0103lniceanu 1 Street, Cluj-Napoca 400347, Romania"],"affiliations":[{"raw_affiliation_string":"Babe\u015f-Bolyai University, M. Kog\u0103lniceanu 1 Street, Cluj-Napoca 400347, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051822008","display_name":"Adriana Mihaela Coroiu","orcid":"https://orcid.org/0000-0001-5275-3432"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Adriana Mihaela Coroiu","raw_affiliation_strings":["Babe\u015f-Bolyai University, M. Kog\u0103lniceanu 1 Street, Cluj-Napoca 400347, Romania"],"affiliations":[{"raw_affiliation_string":"Babe\u015f-Bolyai University, M. Kog\u0103lniceanu 1 Street, Cluj-Napoca 400347, Romania","institution_ids":["https://openalex.org/I3125347698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119918496"],"corresponding_institution_ids":["https://openalex.org/I3125347698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41365786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"2929","last_page":"2938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.08799999952316284,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.08799999952316284,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11479","display_name":"Smart Cities and Technologies","score":0.0786999985575676,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.04650000110268593,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.7319999933242798},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6937000155448914},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6089000105857849},{"id":"https://openalex.org/keywords/zoning","display_name":"Zoning","score":0.6013000011444092},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48590001463890076},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.43160000443458557},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.3831000030040741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514999747276306},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7319999933242798},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6937000155448914},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C520944541","wikidata":"https://www.wikidata.org/wiki/Q702232","display_name":"Zoning","level":2,"score":0.6013000011444092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5812000036239624},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4771000146865845},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.3831000030040741},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.09.415","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.415","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.415","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.415","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2040492037","https://openalex.org/W2108323654","https://openalex.org/W2802119699","https://openalex.org/W2804181952","https://openalex.org/W2963909158","https://openalex.org/W3049379054","https://openalex.org/W4322502671","https://openalex.org/W4378232444","https://openalex.org/W4387523044"],"related_works":[],"abstract_inverted_index":{"The":[0,98,119],"primary":[1],"objective":[2],"of":[3,20,68,88,104,114],"this":[4],"article":[5],"is":[6,125],"to":[7,40,51,95,131],"enhance":[8],"community":[9],"safety":[10],"by":[11,110],"employing":[12],"unsupervised":[13,73],"machine":[14,74],"learning":[15,75],"algorithms":[16,76],"in":[17,31,62],"the":[18,35,48,66,69,71,102,112,115,122,128],"development":[19,67],"a":[21],"mobile":[22,129],"application":[23,49,130],"that":[24,93],"provides":[25],"accessible":[26],"information":[27],"on":[28],"crime":[29],"risks":[30],"specific":[32],"areas":[33],"for":[34],"users.":[36],"By":[37],"allowing":[38],"individuals":[39],"avoid":[41],"high-risk":[42],"zones":[43,109],"or":[44],"take":[45],"precautionary":[46],"measures,":[47],"aims":[50],"stimulate":[52],"local":[53],"economic":[54],"activities":[55],"such":[56],"as":[57],"tourism":[58],"and":[59,81,90],"real":[60],"estate":[61],"safer":[63],"areas.":[64],"In":[65],"application,":[70],"following":[72],"were":[77],"used:":[78],"K-Means,":[79],"DBSCAN,":[80],"Hierarchical":[82],"Clustering,":[83],"along":[84],"with":[85,121],"an":[86],"examination":[87],"environmental":[89],"social":[91],"factors":[92],"contribute":[94],"urban":[96],"crime.":[97],"experimental":[99],"chapter":[100],"presents":[101],"process":[103],"translating":[105],"data":[106],"into":[107,127],"risk":[108],"comparing":[111],"performance":[113,124],"three":[116],"clustering":[117],"algorithms.":[118],"algorithm":[120],"best":[123],"integrated":[126],"ensure":[132],"optimal":[133],"functionality.":[134]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-11-06T00:00:00"}
