Improving Crime Count Forecasts Using Twitter and Taxi Data

09/08/2020
by   Lara Vomfell, et al.
0

Crime prediction is crucial to criminal justice decision makers and efforts to prevent crime. The paper evaluates the explanatory and predictive value of human activity patterns derived from taxi trip, Twitter and Foursquare data. Analysis of a six-month period of crime data for New York City shows that these data sources improve predictive accuracy for property crime by 19 using only demographic data. This effect is strongest when the novel features are used together, yielding new insights into crime prediction. Notably and in line with social disorganization theory, the novel features cannot improve predictions for violent crimes.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 8

page 9

11/27/2020

Urban Twitter Networks and Communities: A Case Study of Microblogging in Athens

This paper examines the community formed by the Twitter users that used ...
06/20/2016

Twitter as a Source of Global Mobility Patterns for Social Good

Data on human spatial distribution and movement is essential for underst...
11/05/2014

Using Twitter to predict football outcomes

Twitter has been proven to be a notable source for predictive modelling ...
03/14/2021

A `Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source

We widely use emojis in social networking to heighten, mitigate or negat...
03/11/2020

Crime Prediction Using Spatio-Temporal Data

A crime is a punishable offence that is harmful for an individual and hi...
06/04/2018

Mining large-scale human mobility data for long-term crime prediction

Traditional crime prediction models based on census data are limited, as...
08/07/2017

FixMyStreet Brussels: Socio-Demographic Inequality in Crowdsourced Civic Participation

FixMyStreet (FMS) is a web-based civic participation platform that allow...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.