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 …

Creating a safe street environment is the primary goal for urban planners and urban
designers. However, the existing research findings on the relationship between street …

Understanding how offenders choose a crime location is a classic criminological topic.
However, previous research on offenders' crime location choice did not consider the impacts …

The occurrence of street crime is affected by socioeconomic and demographic
characteristics and is also influenced by streetscape conditions. Understanding how the …

The presence or absence of some urban facilities can shape the spatial distribution of crime
occurrence. Exploring the joint influence of various types of facilities on crime occurrence …

The importance of understanding crime in the United States assumed enhanced protrusion
in the wake of the increased crime rates year by year in certain cities. Neighborhood social …

Understanding the influencing mechanism of the urban streetscape on crime is fairly
important to crime prevention and urban management. Recently, the development of deep …

Street crime accounts for a significant part of urban crime, making the security of streets one
of the major public anxieties. Although it is well accepted that spatial or environmental …

The Kansas City, Missouri Police Department sought to reduce violent crime with an
evidence-based approach to problem analysis and intervention planning. Informed by hot …

In order to explain how crimes are carried out, and why at a particular place and time and
against a specific target, crime studies increasingly harness theory from behavioural …