This paper presents a study aimed at comparing the outcome of two geostatistical-based
approaches, namely kernel density estimation (KDE) and kriging, for identifying crash …

Examining the relationships between vehicle crash patterns and urban land use is
fundamental to improving crash predictions, creating guidance, and comprehensive policy …

Identifying the locations of pedestrian crashes in cities contributes to the full implementation
of sustainable transportation for all road users. This study examines the pedestrian crash …

Bu çalışmada Türkiye'de 2009 ile 2013 yılları arasında devlet karayolları kesimlerinde
istatistiksel ve coğrafi yöntemler kullanılarak kaza analizleri yapılmıştır. Çalışmanın coğrafi …

Traffic incidents have a broad negative impact on both traffic systems and the quality of
social activities; thus, analyzing and predicting the influence of traffic incidents dynamically …

Abstract Setting safe speed limit is very critical and complex phenomenon, which has to be
decided based on the road hierarchy that categorizes roads according to their functions and …

To ensure road safety and reduce traffic accidents, it is essential to determine geographical
locations where traffic accidents occur the most. Spatial clustering methods of hot spots are …

Se presenta un método para identificar y determinar agrupaciones con sectores de riesgo
por mayor ocurrencia de accidentes de tránsito en áreas urbanas como un componente …

Most agencies and decision-makers rely on crash and crash severity (property damage only,
injury or fatality) data to assess transportation safety; however, in the context of public health …

The AASHTO Highway Safety Manual (HSM) presents a variety of methods for quantitatively
estimating crash frequency or severity at a variety of locations. The HSM predictive methods …