Safety Assessment of New England Roadways During the COVID-19 Pandemic

Details

• Creators:
  Shirazi, Mohammadali ; Ivan, John ; Marshall, Ennis ; Shahlaee, Amir
• Corporate Creators:
  University of Maine. Transportation Infrastructure Durability Center (TIDC)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Binomial Response COVID-19 Crash Data Data Analysis Evaluation And Assessment Fatalities Infrastructure Logistic Regression Analysis Mixed Effect Mixed Effect Binomial Model Safety Speeding Statistical Analysis Statistical Modeling

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• Publication/ Report Number:
  4.11
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Maine ; Connecticut
• Edition:
  Final Report
• Corporate Publisher:
  University of Maine. Transportation Infrastructure Durability Center (TIDC)
• Abstract:
  Safety assessment of roadway facilities is a critical task to maintain the system operational efficiency of transportation infrastructure. The comprehensive stay-at-home orders implemented in response to the COVID-19 pandemic have resulted in massive reductions in traffic volumes, especially on major highways. Motorists have responded to these greatly reduced volumes by increasing their travel speeds; the result of this behavioral response has been an increase in the rate and incidence of fatal crashes. There is a clear need to analyze speeding during and after the duration of stay-at-home orders. In addition, the rate of severe injury and fatal crashes continued to remain high in 2021 and 2022, even when the traffic volume returned to the pre-pandemic condition. This project employed an innovative approach to use traditional data archived from permanent count stations, as well as new data sources (i.e., probe data) to develop models to better understand the impact of pandemic on New England roadways. Particularly, this research developed models to analyze speeding during and after COVID-19 stay-at-home orders in Maine and Connecticut. This research also developed models to better understand the impact of pandemic on crashes in 2021, and 2022, and explore if any factors other than speed, also impacted the increase in rate of severe and fatal crashes in years after the stay-at-home order in Maine.
• Format:
  PDF
• Funding:
  69A3551847101
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:559a3ee52d187fd1413a69e0af5c319921f7ef97e120caffb32c8fcf87fba76214a90720452105da599d69ad218a97272582a2a41fbc00ab6aae964d01732ca8
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88962/dot_88962_DS1.pdf
• File Type:
  [PDF - 1.47 MB ]