Vehicle insurance and the risk of road traffic accidents

Hsu, Yung-Ching; Shiu, Yung‐Ming; Chou, Pai-Lung; Chen, Yenming J.

doi:10.1016/j.tra.2015.02.015

Cited by 21 publications

(17 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…One of the negative consequences of mobility is traffic accidents, with the resulting material damage and economic losses ( Hsu et al, 2015 ; Kopits and Cropper, 2005 ); others include social costs, physical injuries and, in the worst case, even deaths. Every year, around 1.35 million people are killed on road all around the world; in fact, this is the eighth leading cause of death and also results in up to 50 million injuries each year ( WHO, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

COVID-19 lockdown and reduction of traffic accidents in Tarragona province, Spain

Saladié

Bustamante

Gutiérrez

2020

Transportation Research Interdisciplinary Perspectives

152

109

View full text Add to dashboard Cite

This paper analyses the impact that the lockdown decreed by the Spanish Government to combat the spread of COVID-19 has had on traffic accidents in Tarragona province (Spain). During the studied period of the lockdown (March 16 - April 26 2020) the number of accidents per day fell by 74,3% in coparison with those in February 14-20 (reference week) and 76% in respect to the equivalent period in 2018-2019. This reduction of accidents has been higher than the decrease of mobility during the same reference period (62.9%). This suggests a multiplicative positive effect of traffic reduction on roads safety. Our findings provide new evidences of the disruptive effect of the COVID-19 pandemic on transportation and of how it could be used as a catalyst to promote more sustainable and secure transport systems.

show abstract

Section: Introductionmentioning

confidence: 99%

COVID-19 lockdown and reduction of traffic accidents in Tarragona province, Spain

Saladié

Bustamante

Gutiérrez

2020

Transportation Research Interdisciplinary Perspectives

152

109

View full text Add to dashboard Cite

show abstract

“…To date, COVID-19 has infected several million individuals, with recent data reporting more than 122 million confirmed cases globally, including over 2.69 million fatalities ( ECDC, 2020 ). At the same time, road collisions continuously consist one of the most crucial problems of transportation globally, resulting in material damage, economic losses as well as physical injuries and casualties ( Hsu et al, 2015 , Kopits and Cropper, 2005 ). According to WHO, road traffic fatalities claim more than 1.35 million lives each year around the world and count up to 50 million injuries every year (WHO, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

Sekadakis

Katrakazas

Michelaraki

et al. 2021

Accident Analysis & Prevention

View full text Add to dashboard Cite

The current study aims to investigate the impact of the COVID-19 pandemic on road traffic collisions, fatalities, and injuries using time series analyses. To that aim, a database containing road collisions, fatalities, and slight injuries data from Greece were derived from the Hellenic Statistical Authority (HSA) and covered a ten-year timeframe (from January 2010 to August 2020. The chosen time period contained normal operations, as well as the period of the first COVID-19-induced lockdown period in Greece. Three different Seasonal Autoregressive Integrated Moving Average (SARIMA) time series models were implemented in order to compare the observed measurements to forecasted values that were intended to depict assumed conditions; namely, without the appearance of the COVID-19 pandemic. Modelling results revealed that the total number of road collisions, fatalities, and slightly injured were decreased, mainly due to the sharp traffic volume decrease. However, the percentage reduction of the collision variables and traffic volume were found to be disproportionate, which probably indicates that more collisions occurred with regard to the prevailing traffic volume. An additional finding is that fatalities and slightly injured rates were significantly increased during the lockdown period and the subsequent month. Overall, it can be concluded that a worse performance was identified in terms of road safety. Since subsequent waves of COVID-19 cases and other pandemics may reappear in the future, the outcomes of the current study may be exploited for the improvement of road safety from local authorities and policymakers.

show abstract

“…Road traffic accidents are known as one of the most complicated issues all over the world [11]. Traffic accidents and their associated social costs, physical injuries, and human and economic losses are among the negative consequences of increased mobility [12,13]. According to the World Health Organization (WHO), road car accidents were the third leading cause of casualties in 2018 globally [14].…”

Section: Introductionmentioning

confidence: 99%

A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic

et al. 2022

View full text Add to dashboard Cite

The main aim of the present study was to investigate the spatiotemporal trends of urban traffic accident hotspots during the COVID-19 pandemic. The severity index was used to determine high-risk areas, and the kernel density estimation method was used to identify risk of traffic accident hotspots. Accident data for the time period of April 2018 to November 2020 were obtained from the traffic police of Tabriz (Iran) and analyzed using GIS spatial and network analysis procedures. To evaluate the impacts of COVID-19, we used the seasonal variation in car accidents to analyze the change in the total number or urban traffic accidents. Eventually, the sustainability of urban transport was analyzed based on the demographic and land use data to identify the areas with a high number of accidents and its respective impacts for the local residences. Based on the results, the lockdown measures in response to the pandemic have led to significant reductions in road traffic accidents. From the perspective of urban planning, the spatiotemporal urban traffic accident analysis indicated that areas with high numbers of elderly people and children were most affected by car accidents. As we identified the hotspots of urban traffic accidents and evaluated their spatiotemporal correlation with land use and demography characteristics, we conclude that the results of this study can be used by urban managers and support decision making to improve the situation, so that fewer accidents will happen in the future.

show abstract

Vehicle insurance and the risk of road traffic accidents

Cited by 21 publications

References 18 publications

COVID-19 lockdown and reduction of traffic accidents in Tarragona province, Spain

COVID-19 lockdown and reduction of traffic accidents in Tarragona province, Spain

Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic

Contact Info

Product

Resources

About