How concentrated is crime at places? A systematic review from 1970 to 2015

YJ Lee, JE Eck, SH O, NN Martinez - Crime Science, 2017 - Springer
Background Despite the increasing awareness and interests about the importance of crime
concentration at places, scholars have not comprehensively synthesized the body of …

A review of incident prediction, resource allocation, and dispatch models for emergency management

A Mukhopadhyay, G Pettet, SM Vazirizade, D Lu… - Accident Analysis & …, 2022 - Elsevier
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …

In AI we trust? Perceptions about automated decision-making by artificial intelligence

T Araujo, N Helberger, S Kruikemeier, CH De Vreese - AI & society, 2020 - Springer
Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence,
decision-making in contemporary societies is increasingly delegated to automated …

[LIBRO][B] Proactive policing: Effects on crime and communities

MK Majmundar, D Weisburd - 2018 - books.google.com
Proactive policing, as a strategic approach used by police agencies to prevent crime, is a
relatively new phenomenon in the United States. It developed from a crisis in confidence in …

Interpretable machine learning models for crime prediction

X Zhang, L Liu, M Lan, G Song, L ** the risk terrain for crime using machine learning
AP Wheeler, W Steenbeek - Journal of Quantitative Criminology, 2021 - Springer
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 …

[LIBRO][B] Place matters

D Weisburd, AA Braga - 2016 - books.google.com
Over the last two decades, there has been increased interest in the distribution of crime and
other antisocial behavior at lower levels of geography. The focus on micro geography and its …