A review of spatial approaches in road safety
Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …
determine how crashes are affected by neighboring locations, how the influence of …
Exploring spatial autocorrelation of traffic crashes based on severity
As a develo** country, Iran has one of the highest crash-related deaths, with a typical rate
of 15.6 cases in every 100 thousand people. This paper is aimed to find the potential …
of 15.6 cases in every 100 thousand people. This paper is aimed to find the potential …
Kernel density estimation of traffic accidents in a network space
Z **e, J Yan - Computers, environment and urban systems, 2008 - Elsevier
A standard planar Kernel Density Estimation (KDE) aims to produce a smooth density
surface of spatial point events over a 2-D geographic space. However, the planar KDE may …
surface of spatial point events over a 2-D geographic space. However, the planar KDE may …
Spatio-temporal clustering of road accidents: GIS based analysis and assessment
V Prasannakumar, H Vijith, R Charutha… - Procedia-social and …, 2011 - Elsevier
Road accident hot spots are evaluated and delineated in a South Indian city where
inadequate development of land transport network often leads to traffic congestion and …
inadequate development of land transport network often leads to traffic congestion and …
[HTML][HTML] GIS-based spatial analysis of urban traffic accidents: Case study in Mashhad, Iran
There is a growing concern in traffic accident rate in recent years. Using Mashhad city (Iran
second populous city) traffic accident records as case study, this paper applied the …
second populous city) traffic accident records as case study, this paper applied the …
Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation
This paper proposes a procedure which evaluates clusters of traffic accident and organizes
them according to their significance. The standard kernel density estimation was extended …
them according to their significance. The standard kernel density estimation was extended …
Detecting traffic accident clusters with network kernel density estimation and local spatial statistics: an integrated approach
Z **e, J Yan - Journal of transport geography, 2013 - Elsevier
Kernel density estimation (KDE) has long been used for detecting traffic accident hot spots
and network kernel density estimation (NetKDE) has proven to be useful in accident analysis …
and network kernel density estimation (NetKDE) has proven to be useful in accident analysis …
Identification of crash hotspots using kernel density estimation and kriging methods: a comparison
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 …
approaches, namely kernel density estimation (KDE) and kriging, for identifying crash …
Pedestrian fatality risk in accidents at unsignalized zebra crosswalks in Poland
Poland has the second worst pedestrian fatality rate in the European Union. In the years
2007–2012, 9101 pedestrians were killed and 71 328 injured on Polish roads. Almost 30 …
2007–2012, 9101 pedestrians were killed and 71 328 injured on Polish roads. Almost 30 …
[HTML][HTML] Using GIS to identify pedestrian-vehicle crash hot spots and unsafe bus stops
This paper presents a GIS approach based on spatial autocorrelation analysis of pedestrian-
vehicle crash data for identification and ranking of unsafe bus stops. Instead of crash counts …
vehicle crash data for identification and ranking of unsafe bus stops. Instead of crash counts …