Geographic Information System–Based Spatial and Statistical Analysis of Severe Crash Hotspot Accessibility to Hospitals

Abstract

Previous studies have examined hospital accessibility issues, and other work has exhaustively investigated several aspects of roadway crashes, such as their severity and frequency, possible causal factors, and their clustering on networks. However, the nature of the relationship between them, in the accessibility of severe crash hotspots to hospitals with emergency services, is relatively unexplored. Looking at both elements simultaneously is especially critical, given the need to provide the necessary aid to crash victims in a timely manner to help reduce roadway deaths. To the authors’ knowledge, such an assessment has not been attempted before. The objective of this study was twofold. First, the study investigated accessibility through the use of geographic information systems and statistical analysis to detect high-risk locations. Second, the study used hierarchical multinomial logistic regression analysis to examine several environmental, traffic, and human factors to identify the determinants of the crashes that constitute hotspots. The results show that several roadway segments portend an elevated threat of injury and fatalities for drivers and passengers, not only due to a higher probability of being severely injured, but also because of the low accessibility to hospitals having emergency services. The results suggest that particular spatial, traffic, and roadway factors, such as intersection presence or speed limits, substantially imperil traffic safety. The knowledge gained from this study can help agencies and officials pinpoint and investigate high-risk locations to enhance the safety of roadway users.