Big Data and Urban Crime I

Type: Paper
Theme:
Sponsor Groups:
Poster #:
Day: 4/11/2018
Start / End Time: 3:20 PM / 5:00 PM
Room: Bourbon Room, Astor, Mezzanine
Organizers: Lin Liu
Chairs: Lin Liu

Description

This session will focus on spatial analysis of big data and crime. Studies that take advantage of big data, geo-simulation and the latest spatial modeling techniques are featured in the session. Both U.S and international studies, especially comparative studies across multiple countries, are welcome.


Agenda

Type Details Minutes Start Time
Presenter Lin Liu*, University of Cincinnati, Big Data and Crime Research 20 3:20 PM
Presenter Minxuan Lan*, University of Cincinnati, Lin Liu, University of Cincinnati; Sun Yat-sen Univeristy , Assessing the Correlation of Relocating Bus Stops on Street Robbery 20 3:40 PM
Presenter Lin Liu, Sun Yat-sen University , Jiaxin Feng*, Sun Yat-sen University, Fang Ren, University of Redlands , Luzi Xiao, Sun Yat-sen University , Examining the relationship between neighborhood environment and residential location of juvenile and adult migrant burglars in China 20 4:00 PM
Presenter Muriel Marseille*, , Chicago Crime 2016: Why the Spike? 20 4:20 PM
Presenter Joshua Regan*, Western Connecticut State University, Urban Demolition: A Crime Control Mechanism in Detroit, Michigan 20 4:40 PM

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