Road accident statistics

2021 ◽  
pp. 15-30
Author(s):  
Jeremy Broughton
Author(s):  
Rune Elvik

It is an objective of transport policy in many countries and cities to promote walking, cycling and the use of public transport. This policy seeks to improve public health and reduce emissions contributing to global warming. It is, however, very likely that more walking, cycling and use of public transport will be associated with an increase in traffic injury. Moreover, it is likely that most of this increase will go unnoticed and not be recorded in official road accident statistics. Official statistics on traffic injury are known to be very incomplete as far as injuries to pedestrians, cyclists and public transport passengers are concerned. This incompleteness is a problem when assessing health impacts of more walking, cycling and travel by public transport. In this paper, studies made in the city of Oslo, Norway (population 700,000) are used to develop numerical examples showing how the estimated real and recorded number of injuries may change when 10% of person km of travel performed by car are transferred to walking, cycling or public transport. It is shown that not more than about 2% of the estimated change in the actual number of injured road users will be recorded by official statistics on traffic injury.


Author(s):  
Francis P. D. Navin ◽  
Arthur Bergan ◽  
Guanyu Zhang

A fundamental relationship has been developed that explains road accident statistics in developed and developing countries. The model uses two variables, traffic hazard measured as deaths per vehicle and motorization measured as vehicles per person, to estimate personal hazard as deaths per person. Special cases of the model are those by Smeed, Trinca et al., and Koornstra. The model of fatalities has two extremes. Early motorization has high traffic hazard and personal safety is low and increasing. Full motorization is characterized by a moderate and falling traffic hazard and a low and decreasing personal safety. Between these extremes, there is a maximum number of fatalities per population. Models for personal injury and total road accidents in developed countries appear to follow a similar trend. Available world data fit the proposed relationships well. The models allow planners and engineers to estimate the future maximum road fatalities for developing countries. The model has been extended to incorporate an automobile ownership model that explains some of the growth in motorization. A traffic hazard model is also outlined, in part on the basis of the ideas developed by Koornstra. The extended models should allow a more detailed analysis of some of the social and engineering factors that contribute to road safety.


1989 ◽  
Vol 16 (5) ◽  
pp. 784-785
Author(s):  
F. F. Saccomanno

1988 ◽  
Vol 10 (2) ◽  
pp. 233
Author(s):  
Chitoshi KADOYA

2018 ◽  
Vol 7 (3.36) ◽  
pp. 34
Author(s):  
Siti Hawa Harith ◽  
Norashikin Mahmud

Road accident statistics has been reported increasing over the years and become one of the significant death contributors worldwide. In response towards this issue, appropriate countermeasures need to be outlined. Proposing a preventive plan requires comprehensive understanding on factors behind the occurrence of road accident. Therefore, this review paper aimed at investigating the factors behind the occurrence of road accident focusing on the technical factors. A review over five academic databases such as Emerald, ScienceDirect, Scopus, Web of Science and Wiley Online Library has been conducted leading towards an overall finding of 2462 related records. After screening and reviewing the records, only 38 studies were included. The result of the review indicated several technical factors in terms of road and vehicle faulty toward the occurrence of road accident.  


1999 ◽  
Vol 31 (1-2) ◽  
pp. 101-108 ◽  
Author(s):  
Isabelle Aptel ◽  
L.Rachid Salmi ◽  
Françoise Masson ◽  
Arnaud Bourdé ◽  
Guy Henrion ◽  
...  

1989 ◽  
Vol 10 (4) ◽  
pp. 305-306
Author(s):  
John G.U. Adams

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