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                            Library & Multimedia
 'Situating’ Simulation to Model Human Spatio-Temporal Interactions: An Example Using Crime Events
NCJ Number
              305657
Journal

*Transactions in GIS* Volume: 11 Issue: 4 Dated: 2007 Pages: 507-530
Author(s)
          Elizabeth R. Groff
Date Published

2007
Length
              24 pages
Annotation
              This research presents the methodology for ‘situating’ simulation of the modeling of human spatiotemporal interactions through the use of a new modeling tool, Agent Analyst, which integrates agent-based modeling (ABM) and geographic information systems (GIS).
Abstract
              Many social phenomena have a spatio-temporal dimension and involve dynamic decisions made by individuals. In the past, researchers have often turned to geographic information systems (GIS) to model these interactions. Although GIS provide a powerful tool for examining the spatial aspects of these interactions, they are unable to model the dynamic, individual-level interactions across time and space. In an attempt to address these issues, some researchers have begun to use simulation models; however, these models rely on artificial landscapes that do not take into account the environment in which humans move and interact. In the research reported in this article, three versions of a model of street robbery are presented to illustrate the importance of using ‘real’ data to inform agent activity spaces and movement. The successful implementation of this model demonstrates that: (1) agents can move along existing street networks; (2) land-use patterns can be used to realistically distribute agent's homes and activities across a city; and (3) the incidence and pattern of street robberies is significantly different when ‘real’ data are used. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2005-IJ-CX-0015


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Modeling the Dynamics of Street Robberies to Inform Policy and Prevention
    
  
  
Date Published: January 1, 2007
    
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