详情

Analyzing Crash Clusters near Senior Destination Sites Using GIS

项目名称：	Analyzing Crash Clusters near Senior Destination Sites Using GIS
摘要：	Roadway crashes claim more than 30,000 lives each year in the United States, and they continue to affect the lives of people adversely. This problem becomes even more challenging when aging populations are considered due to their vulnerability and fragility to crashes. This is especially a principal concern in Florida since the crash risk for the aging population is increasing day by day, proportional to the population growth of aging Floridians. This study investigates the spatial and temporal patterns of aging-involved crashes to identify aging related crash hotspots, using Geographical Information Systems (GIS)-based methods on a case study of ten urban counties in Florida. The counties were selected based on the high aging-involved crash rates, as identified by the Safe Mobility for Life Coalition of Florida. Both different spatial and temporal methods were employed. Among the methods studied, SANET, a network distance-based kernel density estimation method, was identified as a very effective tool in providing an unbiased distribution of the crashes by calculating the actual distances between the crashes over the roadway network. GIS-based results were also supported with a binary logistic regression analysis to identify the significant factors affecting aging-involved crash occurrence when compared to other age group crashes. Results indicate that high risk locations for aging-involved crashes show different spatial and temporal patterns than those for other age groups. These pattern specific differences include the following: (a) Intersections have an adverse effect on the 65+ populations more than other adult age groups, and the locations of high crash risk intersections are different than those of other age groups, (b) Aging-involved population crashes occur during the mid-day rather than the peak hours, which is not a similar pattern for other adult age groups, especially for the working populations, and (c) Week days have more aging-involved crashes than the weekends contrary to the other age group crashes.
状态：	Completed
资金：	96700.00
资助组织：	Research and Innovative Technology Administration
项目负责人：	Tucker-Thomas, Dawn
执行机构：	Center for Accessibility and Safety for an Aging Population
开始时间：	20140109
预计完成日期：	20141223
实际结束时间：	20160229
主题领域：	Data and Information Technology；Highways；Operations and Traffic Management；Safety and Human Factors