{"id":"https://openalex.org/W2145771572","doi":"https://doi.org/10.1145/2533828.2533832","title":"Discovering Spatial Co-Clustering Patterns in Traffic Collision Data","display_name":"Discovering Spatial Co-Clustering Patterns in Traffic Collision Data","publication_year":2013,"publication_date":"2013-11-05","ids":{"openalex":"https://openalex.org/W2145771572","doi":"https://doi.org/10.1145/2533828.2533832","mag":"2145771572"},"language":"en","primary_location":{"id":"doi:10.1145/2533828.2533832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2533828.2533832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049145146","display_name":"Dapeng Li","orcid":"https://orcid.org/0000-0002-0749-0001"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dapeng Li","raw_affiliation_strings":["Dept. of Computing Science, University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computing Science, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021763337","display_name":"J\u00f6rg Sander","orcid":"https://orcid.org/0000-0003-4068-7268"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Joerg Sander","raw_affiliation_strings":["Dept. of Computing Science, University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computing Science, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014272131","display_name":"M\u00e1rio A. Nascimento","orcid":"https://orcid.org/0000-0002-7609-1805"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mario A. Nascimento","raw_affiliation_strings":["Dept. of Computing Science, University of Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computing Science, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061168110","display_name":"Dae-Won Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I1291123497","display_name":"Public Safety Canada","ror":"https://ror.org/032mgcs57","country_code":"CA","type":"government","lineage":["https://openalex.org/I1291123497"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dae-Won Kwon","raw_affiliation_strings":["Office of Traffic Safety, City of Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Office of Traffic Safety, City of Edmonton, Canada","institution_ids":["https://openalex.org/I1291123497"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9886000156402588,"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/hotspot","display_name":"Hotspot (geology)","score":0.8109232187271118},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7369084358215332},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.7014802694320679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308357119560242},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5397224426269531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5193206071853638},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5183373689651489},{"id":"https://openalex.org/keywords/spatial-ecology","display_name":"Spatial ecology","score":0.4498544931411743},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3032951354980469},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13524436950683594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1341702938079834},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08223924040794373},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06804108619689941}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.8109232187271118},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7369084358215332},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7014802694320679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308357119560242},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5397224426269531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5193206071853638},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5183373689651489},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.4498544931411743},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3032951354980469},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13524436950683594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1341702938079834},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08223924040794373},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06804108619689941},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2533828.2533832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2533828.2533832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7400000095367432,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1593288466","https://openalex.org/W1700547585","https://openalex.org/W1731123982","https://openalex.org/W1964744847","https://openalex.org/W1967137980","https://openalex.org/W1981880238","https://openalex.org/W1994231679","https://openalex.org/W2026593185","https://openalex.org/W2038083916","https://openalex.org/W2054965269","https://openalex.org/W2127472087","https://openalex.org/W2131586477","https://openalex.org/W2161850932","https://openalex.org/W2797177778","https://openalex.org/W2799706920","https://openalex.org/W4299589694"],"related_works":["https://openalex.org/W4238028212","https://openalex.org/W2963387968","https://openalex.org/W4239351380","https://openalex.org/W1486009484","https://openalex.org/W2146714472","https://openalex.org/W2361570780","https://openalex.org/W2149765389","https://openalex.org/W1520742015","https://openalex.org/W2343030682","https://openalex.org/W2137117200"],"abstract_inverted_index":{"Identifying":[0],"spatial":[1,73],"patterns":[2,111],"of":[3,14,17,62,75,84,98,108],"traffic":[4,18],"collisions":[5],"is":[6],"critical":[7],"for":[8,58,124],"improving":[9],"the":[10,15,44,60,72,76,96,120],"efficiency":[11],"and":[12,118],"effectiveness":[13],"deployment":[16],"enforcement":[19],"resources":[20],"as":[21,23],"well":[22],"road":[24],"safety.":[25],"In":[26,51],"recent":[27],"years,":[28],"many":[29],"studies":[30],"have":[31],"focused":[32],"on":[33,95],"finding":[34],"locations":[35],"with":[36],"high":[37],"collision":[38,101],"concentration,":[39],"so-called":[40],"hotspots,":[41],"without":[42],"integrating":[43],"likely":[45],"available":[46],"non-spatial":[47,63,122],"attributes":[48],"into":[49],"analysis.":[50],"this":[52],"paper":[53],"we":[54,103],"propose":[55],"a":[56,82,86,105],"method":[57,94],"identifying":[59],"sets":[61],"attribute-value":[64],"pairs":[65],"(AVPs)":[66],"that":[67],"together":[68],"contribute":[69],"significantly":[70],"to":[71],"clustering":[74],"corresponding":[77],"collisions.":[78],"We":[79],"call":[80],"such":[81],"set":[83],"AVPs":[85],"Spatial":[87],"Co-Clustering":[88],"Pattern":[89],"(SCCP).":[90],"By":[91],"applying":[92],"our":[93],"city":[97],"Edmonton's":[99],"historical":[100],"data,":[102],"discovered":[104],"larger":[106],"number":[107],"meaningful":[109],"hotspot":[110,114],"than":[112],"traditional":[113],"analysis":[115],"methods":[116],"did,":[117],"revealed":[119],"relevant":[121],"indicators":[123],"explaining":[125],"those":[126],"hotspots.":[127]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}