Weather Effects on Daily Traffic Accidents and Fatalities: Time Series Count Data Approach.

Author(s)
Karlaftis, M.G. & Yannis, G.
Year
Abstract

The impact of weather conditions on traffic safety is a topic that has attracted considerable interest in the literature. In this research, an integer autoregressive model (INAR) is used to estimate the effects of weatherconditions on four traffic safety categories: vehicle accidents, vehicle fatalities, pedestrian accidents and pedestrian fatalities, using 21 yearsof daily count data for Athens, Greece. The results suggest that the mostconsistently significant and influential variable is mean daily precipitation height along with its lagged value. It is found that, contrary to much previous research, increases in rainfall reduce the total number of accidents and fatalities as well as the pedestrian accidents and fatalities, afinding that may be attributed to the safety offset hypothesis resulting from more cautious and less speedy driver behavior. Similarly, temperatureincrease was found to lead to increased accidents.

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Publication

Library number
C 48008 (In: C 47949 DVD) /80 / ITRD E854012
Source

In: Compendium of papers DVD 89th Annual Meeting of the Transportation Research Board TRB, Washington, D.C., January 10-14, 2010, 17 p.

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