{"id":"https://openalex.org/W2951127371","doi":"https://doi.org/10.1145/3325112.3325211","title":"Predicting Road Traffic Accident Severity using Accident Report Data in South Africa","display_name":"Predicting Road Traffic Accident Severity using Accident Report Data in South Africa","publication_year":2019,"publication_date":"2019-06-14","ids":{"openalex":"https://openalex.org/W2951127371","doi":"https://doi.org/10.1145/3325112.3325211","mag":"2951127371"},"language":"en","primary_location":{"id":"doi:10.1145/3325112.3325211","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325112.3325211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Annual International Conference on Digital Government Research","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/A5033666817","display_name":"Mpho Mokoatle","orcid":"https://orcid.org/0000-0001-7689-2840"},"institutions":[{"id":"https://openalex.org/I27765905","display_name":"North-West University","ror":"https://ror.org/010f1sq29","country_code":"ZA","type":"education","lineage":["https://openalex.org/I27765905"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Mpho Mokoatle","raw_affiliation_strings":["North West University, *CSIR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North West University, *CSIR","institution_ids":["https://openalex.org/I27765905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060690192","display_name":"Vukosi Marivate","orcid":"https://orcid.org/0000-0002-6731-6267"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Dr. Vukosi Marivate","raw_affiliation_strings":["University of Pretoria South Africa, *CSIR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pretoria South Africa, *CSIR","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068532864","display_name":"Professor. Michael Esiefarienrhe Bukohwo","orcid":null},"institutions":[{"id":"https://openalex.org/I27765905","display_name":"North-West University","ror":"https://ror.org/010f1sq29","country_code":"ZA","type":"education","lineage":["https://openalex.org/I27765905"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Professor. Michael Esiefarienrhe Bukohwo","raw_affiliation_strings":["North West University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North West University","institution_ids":["https://openalex.org/I27765905"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8073,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.97712717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.578432559967041},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.5648444890975952},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.5219427943229675},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.47961223125457764},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.469959020614624},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4680808484554291},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.451114684343338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42681872844696045},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.4138595163822174},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3466220796108246},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.22961199283599854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22754225134849548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19266217947006226},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1904190480709076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1578216552734375}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.578432559967041},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.5648444890975952},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.5219427943229675},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.47961223125457764},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.469959020614624},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4680808484554291},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.451114684343338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42681872844696045},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.4138595163822174},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3466220796108246},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.22961199283599854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22754225134849548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19266217947006226},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1904190480709076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1578216552734375},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3325112.3325211","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325112.3325211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Annual International Conference on Digital Government Research","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W84561140","https://openalex.org/W191253868","https://openalex.org/W1635138928","https://openalex.org/W1901743643","https://openalex.org/W1941659294","https://openalex.org/W1976364950","https://openalex.org/W2007019606","https://openalex.org/W2053932742","https://openalex.org/W2071054921","https://openalex.org/W2078965693","https://openalex.org/W2086927126","https://openalex.org/W2088712730","https://openalex.org/W2090563475","https://openalex.org/W2101234009","https://openalex.org/W2101281941","https://openalex.org/W2105180131","https://openalex.org/W2118502261","https://openalex.org/W2148143831","https://openalex.org/W2168025622","https://openalex.org/W2292045100","https://openalex.org/W2295598076","https://openalex.org/W2306760703","https://openalex.org/W2549035799","https://openalex.org/W2562005416","https://openalex.org/W2609055119","https://openalex.org/W2782120158","https://openalex.org/W2914705570","https://openalex.org/W2923165391","https://openalex.org/W2999549716","https://openalex.org/W3102476541","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2606446052","https://openalex.org/W2036021480","https://openalex.org/W1517019597","https://openalex.org/W4404544825","https://openalex.org/W1968776045","https://openalex.org/W2296713838","https://openalex.org/W767149399","https://openalex.org/W3036261569","https://openalex.org/W2889950528","https://openalex.org/W2944557777"],"abstract_inverted_index":{"Road":[0],"traffic":[1,19],"accidents":[2],"(RTAs)":[3],"have":[4,38,163],"a":[5,67,173],"significant":[6],"impact":[7,110],"on":[8,111,153],"individuals,":[9],"their":[10],"families":[11],"and":[12,56,90,131,160,202],"the":[13,25,32,124,132,164,169,203,206,211],"nation.":[14],"Without":[15],"knowledgeable":[16],"action,":[17],"road":[18,57],"injuries":[20],"are":[21],"said":[22],"to":[23,41,64,99,103,166,205,216],"be":[24],"seventh":[26],"leading":[27],"cause":[28],"of":[29,74,80,83,92,106,114,172,219],"death":[30],"by":[31,76],"year":[33],"2030.":[34],"Generally,":[35],"classification":[36,68,119,129,138],"models":[37,120],"been":[39],"created":[40,122],"predict":[42],"injury":[43,72,112,174,217],"severity":[44,73,113,175,218],"in":[45,116,221],"RTAs":[46],"while":[47],"taking":[48],"into":[49],"account":[50],"vehicle,":[51],"light":[52,182],"&":[53],"weather":[54],"conditions,":[55],"characteristics.":[58],"This":[59],"study":[60],"looked":[61],"at":[62],"how":[63],"best":[65],"create":[66],"model":[69],"that":[70,148,150,214],"predicts":[71],"drivers":[75,115,220],"adding":[77],"distance":[78,204],"features":[79],"nearest":[81],"places":[82,105],"interest":[84,107],"namely,":[85],"malls,":[86],"bars,":[87],"schools,":[88],"buildings,":[89],"points":[91],"interest.":[93],"The":[94,118,144],"reason":[95],"for":[96],"this":[97],"was":[98],"determine":[100],"if":[101],"distances":[102],"closest":[104,207],"has":[108],"an":[109],"RTAs.":[117,222],"were":[121,209],"with":[123],"Multivariate":[125],"logistic":[126],"regression":[127],"(MLR)":[128],"method":[130],"Extreme":[133],"gradient":[134],"boosting":[135],"tree":[136],"(XGBoost)":[137],"method,":[139],"where":[140],"XGBoost":[141],"out-performed":[142],"MLR.":[143],"findings":[145],"also":[146],"showed":[147],"data":[149,162],"is":[151],"collected":[152],"South":[154],"African":[155],"Accident":[156],"Report":[157],"(AR)":[158],"forms":[159],"spatial":[161],"ability":[165],"significantly":[167],"improve":[168],"overall":[170],"performance":[171],"model.":[176],"Also,":[177],"truck":[178],"licenses":[179],"code":[180,186],"C1,":[181],"motor":[183],"duty":[184],"license":[185],"EB,":[187],"vehicle":[188,200],"type":[189],"(motor":[190],"car":[191],"or":[192],"station":[193],"wagon),":[194],"single":[195],"vehicle:":[196],"overturned":[197],"accident":[198],"type,":[199],"manoeuvre,":[201],"building":[208],"among":[210],"top":[212],"predictors":[213],"contributed":[215]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}