Big Data and Urban Crime II

Type: Paper
Theme:
Sponsor Groups:
Poster #:
Day: 4/11/2018
Start / End Time: 5:20 PM / 7:00 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 Ya Han*, Louisiana State University, Using Local Indicator of Colocation Quotient to Examine Spatial Association of Crime and Alcohol Outlets 20 5:20 PM
Presenter Yanqing Xu*, University of Toledo, The Impact of Street Lights on Spatial-Temporal Patterns of Crime in Detroit, Michigan 20 5:40 PM
Presenter LEE JIEUN*, Seoul National University, Optimal Location Modeling of a Safety booth 20 6:00 PM
Presenter Marcus Boyd*, University of Maryland - College Park, Unmasking Unknowns: A Spatial Method for Identifying Likely Perpetrators of Terrorist Attacks 20 6:20 PM

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