Considering built environment and spatial correlation in modeling pedestrian injury severity

Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

(2016) Kira H. Janstrup et al.   Traffic Injury Prevention

Older Adults at Increased Risk as Pedestrians in Victoria, Australia: An Examination of Crash Characteristics and Injury Outcomes

(2015) Steve O’Hern et al.   Traffic Injury Prevention

A Spatial Analysis of Land Use and Network Effects on Frequency and Severity of Cyclist–Motorist Crashes in the Copenhagen Region

(2015) Sigal Kaplan et al.   Traffic Injury Prevention

Pedestrian crossing location influences injury severity in urban areas

(2012) Linda Rothman et al.   INJURY PREVENTION

A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada

(2012) Mohamed Gomaa Mohamed et al.   SAFETY SCIENCE

The Correlation Between Pedestrian Injury Severity in Real-Life Crashes and Euro NCAP Pedestrian Test Results

(2011) Johan Strandroth et al.   Traffic Injury Prevention

Estimating Potential Effect of Speed Limits, Built Environment, and Other Factors on Severity of Pedestrian and Cyclist Injuries in Crashes

(2011) Seyed Amir H. Zahabi et al.   TRANSPORTATION RESEARCH RECORD

Severity of injury resulting from pedestrian–vehicle crashes: What can we learn from examining the built environment?

(2009) Kelly J. Clifton et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Clustering of Auto Supplier Plants in the United States

(2008) Thomas Klier et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS