Big Data and Crime Research

Authors: Lin Liu*, University of Cincinnati
Topics: Geographic Information Science and Systems, China, Urban Geography
Keywords: crime, big data, China, GIS, spatial analysis
Session Type: Paper
Day: 4/11/2018
Start / End Time: 3:20 PM / 5:00 PM
Room: Bourbon Room, Astor, Mezzanine
Presentation File: No File Uploaded

This paper introduces research on big data and crime in China. GIS based analysis and spatial statistical methods are used to reveal the spatial and temporal crime patterns from official crime data and related big data, and to explore the associations of crime with environmental and socio-economic factors. Big data such as taxi ridership, mobile phone users and social media data are used to estimate population at risk. Improvement on model performance as a result of utilizing big data will be demonstrated in selected cases studies, including journey to crime, discrete choice modeling of offender decisions, comparison of crime committed by local and migrant residents, etc.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login