This article aims at modeling the impact of road characteristics and local spatial environment on road (un)safety. The study applies to Belgium where some 1,500 people are killed annually on the roads. This statistic corresponds to one of the highest risks in Europe. Road unsafety is expressed here as whether an hectometer of road belongs to a black zone; a black zone is defined as a segment of road where roads accidents are concentrated. Logistic modeling including spatial autocorrelation is used and compared to non-spatial regression. It is shown that a spatial model is needed to avoid biased estimated parameters. Results show that local environment and road infrastructure play a substantial role in the co-occurrence of road accidents. He...
Despite an improvement in worldwide numbers, road traffic crashes still cause social, psychological,...
Several studies have examined a wide range of accident risk factors affecting road safety. The purpo...
This paper aims at understanding why road accidents tend to cluster in specific road segments. More ...
L'objectif de la thèse est de modéliser l'impact des caractéristiques des routes et de leur environn...
The present article aims at providing better taxonomy and description of the different underlying fa...
This paper tests the usefulness of a multilevel model (MLM) for explaining the spatial occurrence of...
Road safety is a high priority for European Research, since road accident cost is orders of magnitud...
The negative social and economic results of traffic accidents are the most serious problems within t...
The project “Innovative spatial analysis techniques for traffic safety” consists of three interrelat...
This paper aims at predicting cycling accident risk for an entire network and identifying how road i...
This study investigated two methodologies for allocating crashes within a zone and compared them in ...
Increased cycling has led to a surge in bicycle-motorized vehicle accidents and casualties in re-cen...
Transport and communication are the major sectors of economy in any country, and this phenomenon is ...
In Portugal, the district of Setúbal is among those with the higher number of road accidents with fa...
Macrolevel crash modeling has been extensively applied to investigate the safety effects of demograp...
Despite an improvement in worldwide numbers, road traffic crashes still cause social, psychological,...
Several studies have examined a wide range of accident risk factors affecting road safety. The purpo...
This paper aims at understanding why road accidents tend to cluster in specific road segments. More ...
L'objectif de la thèse est de modéliser l'impact des caractéristiques des routes et de leur environn...
The present article aims at providing better taxonomy and description of the different underlying fa...
This paper tests the usefulness of a multilevel model (MLM) for explaining the spatial occurrence of...
Road safety is a high priority for European Research, since road accident cost is orders of magnitud...
The negative social and economic results of traffic accidents are the most serious problems within t...
The project “Innovative spatial analysis techniques for traffic safety” consists of three interrelat...
This paper aims at predicting cycling accident risk for an entire network and identifying how road i...
This study investigated two methodologies for allocating crashes within a zone and compared them in ...
Increased cycling has led to a surge in bicycle-motorized vehicle accidents and casualties in re-cen...
Transport and communication are the major sectors of economy in any country, and this phenomenon is ...
In Portugal, the district of Setúbal is among those with the higher number of road accidents with fa...
Macrolevel crash modeling has been extensively applied to investigate the safety effects of demograp...
Despite an improvement in worldwide numbers, road traffic crashes still cause social, psychological,...
Several studies have examined a wide range of accident risk factors affecting road safety. The purpo...
This paper aims at understanding why road accidents tend to cluster in specific road segments. More ...