{"title":"积极主动地审核行人安全地点,这是发展中国家的典范","authors":"D. Chimba","doi":"10.1109/SCAT.2014.7055123","DOIUrl":null,"url":null,"abstract":"This paper presents a pedestrian safety hotspot analysis to identify and prioritize specific road segments and intersections with high crash locations using Geographic Information System (GIS) which can be applied in sub-Saharan countries. The approach can well be applied in developing countries which are coupled with high traffic accident rates and injury severities. The identification process uses GIS environment through Getis-Ord Gi-star hotspot analysis tool. The goal is to examine the existence of a spatial pattern for pedestrian crashes associated with roadway geometry, socioeconomic, population distribution and other related factors. This methodology ranks high crash locations based on: crash frequency; weighted crash frequency by injury severities (EPDO); crash rates calculated per vehicle miles of travel (VMT), total population, and mean household income within a defined boundaries. The identified high crash locations and the rankings enable agencies to properly invest and prioritize funds to improve safety. It assists in identifying suitable locations for safety audits.","PeriodicalId":315622,"journal":{"name":"Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Proactive approaches to audit pedestrian safety locations, a model for developing countries\",\"authors\":\"D. Chimba\",\"doi\":\"10.1109/SCAT.2014.7055123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a pedestrian safety hotspot analysis to identify and prioritize specific road segments and intersections with high crash locations using Geographic Information System (GIS) which can be applied in sub-Saharan countries. The approach can well be applied in developing countries which are coupled with high traffic accident rates and injury severities. The identification process uses GIS environment through Getis-Ord Gi-star hotspot analysis tool. The goal is to examine the existence of a spatial pattern for pedestrian crashes associated with roadway geometry, socioeconomic, population distribution and other related factors. This methodology ranks high crash locations based on: crash frequency; weighted crash frequency by injury severities (EPDO); crash rates calculated per vehicle miles of travel (VMT), total population, and mean household income within a defined boundaries. The identified high crash locations and the rankings enable agencies to properly invest and prioritize funds to improve safety. It assists in identifying suitable locations for safety audits.\",\"PeriodicalId\":315622,\"journal\":{\"name\":\"Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCAT.2014.7055123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCAT.2014.7055123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proactive approaches to audit pedestrian safety locations, a model for developing countries
This paper presents a pedestrian safety hotspot analysis to identify and prioritize specific road segments and intersections with high crash locations using Geographic Information System (GIS) which can be applied in sub-Saharan countries. The approach can well be applied in developing countries which are coupled with high traffic accident rates and injury severities. The identification process uses GIS environment through Getis-Ord Gi-star hotspot analysis tool. The goal is to examine the existence of a spatial pattern for pedestrian crashes associated with roadway geometry, socioeconomic, population distribution and other related factors. This methodology ranks high crash locations based on: crash frequency; weighted crash frequency by injury severities (EPDO); crash rates calculated per vehicle miles of travel (VMT), total population, and mean household income within a defined boundaries. The identified high crash locations and the rankings enable agencies to properly invest and prioritize funds to improve safety. It assists in identifying suitable locations for safety audits.