The role of city size and urban metrics on crime modeling

TL;DR

This paper explores how city size and urban metrics influence crime rates, proposing a data-driven model within the urban scaling hypothesis to aid policymakers in crime prevention and resource allocation.

Contribution

It introduces a novel data-driven crime modeling approach based on urban scaling laws, linking city size and urban metrics to crime dynamics.

Findings

Crime growth rate correlates with city size

Urban metrics significantly influence crime levels

The model offers insights for policy and resource allocation

Abstract

Unveiling the relationships between crime and socioeconomic factors is crucial for modeling and preventing these illegal activities. Recently, a significant advance has been made in understanding the influence of urban metrics on the levels of crime in different urban systems. In this chapter, we show how the dynamics of crime growth rate and the number of crime in cities are related to cities' size. We also discuss the role of urban metrics in crime modeling within the framework of the urban scaling hypothesis, where a data-driven approach is proposed for modeling crime. This model provides several insights into the mechanism ruling the dynamics of crime and can assist policymakers in making better decisions on resource allocation and help crime prevention.