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 …

Purpose Uncertainty is not always well captured, understood, or modeled properly, and can
bias the robustness of complex relationships, such as the association between the …

Cultural ecosystem services (CES) of urban and peri‑urban forests (UPF) contribute to the
urban population's health and well-being. However, UPF face numerous threats from …

Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as
the popular kernel density estimation (KDE) do not consider the temporal dimension of …

Objectives We illustrate how a machine learning algorithm, Random Forests, can provide
accurate long-term predictions of crime at micro places relative to other popular techniques …

Objectives To determine whether crime-reduction effects of increased police patrols in hot
spots are dependent on the “hard” threat of immediate physical arrest, or whether “soft” …

In the within-intersection area, vehicles from different approaches make turning movements
resulting in many conflict points. Hence, drivers are more prone to make mistakes in that …

What can change the willingness of people to report crimes? A 6-month study in Denver
investigated whether Body Worn Cameras (BWCs) can change crime-reporting behavior …

Background Predictive policing and crime analytics with a spatiotemporal focus get
increasing attention among a variety of scientific communities and are already being …

Public investments are commonly linked with urban growth and change in points of interest
(POI). This study aims to detect the changes in 5 POI categories within 250, 500, and 1000 m …