scholarly journals Geographical information system (GIS)–based analysis of road traffic accidents in Nigeria (1960-2012)

2015 ◽  
Vol 8 (6) ◽  
pp. 675 ◽  
Author(s):  
HO Adebayo
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Geographical Information ◽  
Road Traffic Accidents

An Integrated Information System for Road Traffic Accidents

2019 ◽  
Vol 10 (3) ◽  
pp. 25-45
Author(s):  
Michail Vaitis ◽  
Dimitris Kavroudakis ◽  
Nikoletta Koukourouvli ◽  
Dimitrios Simos ◽  
Georgios Sarigiannis
Keyword(s):  
Information System ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Temporal Analysis ◽  
High Price ◽  
Road Traffic Accidents ◽  
The Road ◽  
The North ◽  
Spatio Temporal

Road traffic accidents come at a high price: 1.25 million road traffic deaths occurred globally in 2013. As the road network and the environmental conditions contribute significantly in the cause of accidents, it is crucial to understand where and when they occur, in order to plan actions for road safety improvement. For this reason, the Region of the North Aegean, Greece, in collaboration with the University of the Aegean, has established a spatial database and a web-based geographic information system (webGIS) for the registration, storage, visualization and analysis of the traffic accidents occurred in its jurisdiction. In this article, besides the development and operation of the system, the authors present a spatio-temporal analysis of the data collected since 2004 for the island of Lesvos. Hot spots and risky periods were identified, leading to useful conclusions and directions for road safety improvements.

scholarly journals Urban road traffic deaths: data linkage and identification of high-risk population sub-groups

2015 ◽  
Vol 31 (suppl 1) ◽  
pp. 92-106 ◽  
Author(s):  
Lúcia Maria Miana Mattos Paixão ◽  
Eliana Dias Gontijo ◽  
Sueli Aparecida Mingoti ◽  
Dário Alves da Silva Costa ◽  
Amélia Augusta de Lima Friche ◽  
...  
Keyword(s):  
Information System ◽  
Young Adults ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Age Distribution ◽  
Urban Setting ◽  
Vulnerable Groups ◽  
High Risk Population ◽  
Road Traffic Accidents ◽  
Belo Horizonte

Abstract This study analyzes the profile of deaths from road traffic accidents in Belo Horizonte, Minas Gerais State, Brazil, by linking two public databases, the Information System of the Urban Transportation and Transit Company (BH10) and the Mortality Information System (SIM). The linked database (n = 306) identified a 24% under-recording rate for deaths and differed in the age distribution from the BH10 database and in roadway user category when compared to the mortality database. The mortality rate for road traffic accidents within the city limits was 10.2 per 100,000 thousand, and was higher among men, young adults, and the elderly. Poisson multivariate regression showed a higher mean death rate for motorcycle occupants (rate ratio – RR: 1.81); pedestrians (RR: 1.32); males (RR: 1.24); single/divorced (RR: 1.27); young adults 18-29 years of age (RR: 1.75); elderly (RR: 1.59); and deaths at the crash site (RR: 1.39) when compared to the reference categories. The study unveils the city’s traffic violence, expressed by the large proportion of deaths at the crash site and within the first 24 hours, and confirms the relevance of database linkage for characterizing vulnerable groups and traffic accident mortality in the urban setting.

scholarly journals Identification of Traffic Accident Hotspots using Geographical Information System (GIS)

2019 ◽  
Vol 9 (2) ◽  
pp. 4429-4438
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Statistical Methods ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Road Traffic ◽  
Geographical Information ◽  
Future Research ◽  
Hotspot Analysis ◽  
Road Traffic Safety

Limiting the number andseverity of traffic accidents is one of the major goals of road traffic safety management.The alarming rate of road accidents globally emphasizes the importance of an effective traffic safety management system. Identification of accident hotspots is the first step towards implementation of efficient traffic safety management.Until the arrival of Geographical Information System (GIS),traffic accident analyses have been performed based ontraditional statistical methods alone. The advent of GIS-based techniques has led toimproved traffic accident analysis by employing spatial statistics,enabling engineers and researchers to account for variation in the spatial characteristics of hotspot locations in the analysis. This paper discusses the different spatial and statistical methods that are employedintraffic accident hotspots identification. An example application of Planar Kernel Density Estimation (PKDE)for hotspot identification is presented based on crash data for Des Moines city of Iowa state. The effect of varying bandwidths in creating density mapsis investigated and the optimum bandwidth to obtain distinct hotspots is identified as 500 m for the chosen study area.The paper also discusses the scope for future research in traffic accident hotspot analysis.

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