Abstract
Climate change and the extreme weather have a negative impact on road traffic safety, resulting in severe road traffic accidents. In this study, a negative binomial model and a log-change model are proposed to analyse the impact of various factors on fatal traffic accidents. The dataset used in this study includes the fatal traffic accident frequency, social development indicators and climate indicators in California and Arizona. The results show that both models can provide accurate fitting results. Climate variables (i.e., average temperature and standard precipitation 24) can significantly affect the frequency of fatal traffic accidents. Non-climate variables (i.e., beer consumption, rural Vehicle miles travelled ratio, and vehicle performance) also have a significant impact. The modelling results can provide decision-making guidelines for the transportation management agencies to improve road traffic safety.
Highlights
This paper explores the possible indicators related to fatal traffic accidents in California and Arizona in the USA using the accident count model and log-change model
The accident count model is adopted to analyse the impact of various factors on fatal traffic accidents, which can provide accurate fitting performance and capture the change trend of traffic accidents in different periods
The improvement of vehicle performance can reduce the frequency of fatal traffic accidents
Summary
Exploring the Impact of Climate and Extreme Weather on Fatal Traffic. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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