棉花糖直播

Civil Engineering Associate Professor Seri Park, PhD, and Assistant Professor Virginia Smith, PhD

Associate Professor Seri Park, PhD, and Assistant Professor Virginia Smith, PhD, colleagues in 棉花糖直播 University鈥檚 Department of Civil Engineering, published a study titled in the August 2018 issue of the Journal of Infrastructure Systems, a publication of the American Society of Civil Engineers. Working with then-undergraduates Thomas Saldutti 鈥�17 CE and Nicholas Zoccoli 鈥�17 CE (both of whom have continued in the program as graduate students), the team studied five years鈥� worth of southeastern Pennsylvania crash data from the Pennsylvania Department of Transportation to investigate the relationship between level of crash severity and physical roadway variables, which amplify wet conditions on roadways. Their findings revealed correlations that may eventually be used to identify areas of high crash risk in existing roadway infrastructure and thus improve the ability for practitioners to develop proactive safety countermeasures.

Taking an innovative approach to analyzing network safety through systemic analysis, wet road condition crash investigation and spatial analysis, the 棉花糖直播 team created a novel research method for correlating risk factors for crashes during wet conditions on a roadway. Their study systematically analyzed the influence of three risk factors鈥攗rban influence (the prevalence of impervious surfaces), stream influence (relative location within the floodplain) and surface slope鈥攁long with precipitation data, on the severity of wet roadway crashes by geospatially assessing factors contributing to each specific crash within the five-year data set.

The researchers found that within metro Philadelphia, Bucks, Chester, Delaware and Montgomery counties, 713 fatal and major injury crashes occurred during wet road conditions over the five-year study period, with 4,441 fatal and major injury crashes overall. Roadways in these counties were wet approximately 10 percent of the time during the five-year period. According to the study鈥檚 findings:

• Roadway wetness was the most prominent adverse road condition associated with severe crashes.
• Out of the three physical variables investigated, urban influence appears to have the greatest impact on the severity of crashes on wet roads.
• Roadways in developed watersheds, within floodways and on high slopes all display a positive relationship with wet road crashes. These factors all amplify wetness conditions and reduce roadway safety.
• The most common types of crashes to occur during wet road conditions were angle, hit fixed object, and hit pedestrian crashes, indicating that engineers should focus countermeasures on addressing these crash types in areas potentially affected by the above factors.

鈥淭he Federal Highway Administration Office of Safety should include physical factors that contribute to wet roadways, which correlate with fatality and major injury crashes, in their systemic safety analyses,鈥� says Dr. Park. 鈥淭hese analyses rank risk factors to identify locations in need of safety improvements, but do not currently take environmental factors in to account.鈥�

Dr. Smith adds, 鈥淒ue to climate change, the frequency of extreme weather events, such as large-scale rain events, is expected to increase. Deploying the proper countermeasures against wet roadway risks in target areas identified with our method of geospatial analysis contributes to the overall safety and sustainability of roadways.鈥�