Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
Nowadays, 23% of the world population lives in multi-million cities. In these metropolises,
criminal activity is much higher and violent than in either small cities or rural areas. Thus …
criminal activity is much higher and violent than in either small cities or rural areas. Thus …
Mining mobile phone data to investigate urban crime theories at scale
M Traunmueller, G Quattrone, L Capra - Social Informatics: 6th …, 2014 - Springer
Prior work in architectural and urban studies suggests that there is a strong correlation
between people dynamics and crime activities in an urban environment. These studies have …
between people dynamics and crime activities in an urban environment. These studies have …
Crime in urban areas: A data mining perspective
Urban safety and security play a crucial role in improving life quality of citizen and the
sustainable development of urban. Traditional urban crime research focused on leveraging …
sustainable development of urban. Traditional urban crime research focused on leveraging …
Reconciling data-driven crime analysis with human-centered algorithms
K Clancy, J Chudzik, AJ Snowden, S Guha - Cities, 2022 - Elsevier
This study combines traditional statistical methods with machine learning to better
understand locally relevant, contextual models for analyzing crime in two urban American …
understand locally relevant, contextual models for analyzing crime in two urban American …
Where the action is in crime? An examination of variability of crime across different spatial units in The Hague, 2001–2009
W Steenbeek, D Weisburd - Journal of quantitative criminology, 2016 - Springer
Objectives To identify how much of the variability of crime in a city can be attributed to micro
(street segment), meso (neighborhood), and macro (district) levels of geography. We define …
(street segment), meso (neighborhood), and macro (district) levels of geography. We define …
The scaling of crime concentration in cities
Crime is a major threat to society's well-being but lacks a statistical characterization that
could lead to uncovering some of its underlying mechanisms. Evidence of nonlinear scaling …
could lead to uncovering some of its underlying mechanisms. Evidence of nonlinear scaling …
Measuring the built environment with Google Street View and machine learning: Consequences for crime on street segments
Objectives Despite theoretical interest in how dimensions of the built environment can help
explain the location of crime in micro− geographic units, measuring this is difficult. Methods …
explain the location of crime in micro− geographic units, measuring this is difficult. Methods …
New insights on relationships between street crimes and ambient population: Use of hourly population data estimated from mobile phone users' locations
K Hanaoka - Environment and Planning B: Urban Analytics …, 2018 - journals.sagepub.com
The purpose of this research is to examine relationships between occurrences of snatch-and-
run offences and hourly population estimated from mobile phone users' locations, with …
run offences and hourly population estimated from mobile phone users' locations, with …
Crime prediction through urban metrics and statistical learning
Understanding the causes of crime is a longstanding issue in researcher's agenda. While it
is a hard task to extract causality from data, several linear models have been proposed to …
is a hard task to extract causality from data, several linear models have been proposed to …
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches
Place-based crime prediction models implemented with deep learning leverage the spatio-
temporal patterns of historical crimes, together with built-environment factors, to predict …
temporal patterns of historical crimes, together with built-environment factors, to predict …