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A Case Study of the Wings Over Pittsburgh Air Show Benjamin Shelton - MGIS Candidate Advised by Dr. Alexander Klippel.

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Presentation on theme: "A Case Study of the Wings Over Pittsburgh Air Show Benjamin Shelton - MGIS Candidate Advised by Dr. Alexander Klippel."— Presentation transcript:

1 A Case Study of the Wings Over Pittsburgh Air Show Benjamin Shelton - MGIS Candidate Advised by Dr. Alexander Klippel

2 Motivation Photo Courtesy of Wings Over Pittsburgh Air Show

3 Motivation Photo Courtesy of Wings Over Pittsburgh Air Show

4  Improve the placement of static displays, tents, and vendors.  Improve accessibility for general public.  Identify major thoroughfares to ease flow of pedestrians.  Improve egress routes for disaster/emergency preparedness. Motivation

5 Research Question How can geospatial modeling and analytical methods to represent pedestrian movement be incorporated to improve the flow of pedestrians and accessibility of a large public event? -Flow measured through use of Agent Based Modeling scenarios. -Accessibility measured in terms of Space Syntax parameters.

6 Methodology 1. Determine best methods for visualizing and analyzing pedestrian movement through a space. 2. Determine how to best incorporate into GIS. 3. Assessment in real world scenario using past Air Show data.

7 1. Methods for visualizing & analyzing pedestrian flow  Space Syntax  Science-based approach to urban planning, design, and architecture.  Characterizes spaces to analyze movement, interactions, land uses, and many other aspects.  Axial Lines:  Used to represent flow of movement along lines of visibility from point to point through a space.  Used to measure spatial connectivity and integration.

8 1. Methods for visualizing & analyzing pedestrian flow  Space Syntax Example [2011 Air Show Layout]

9 1. Methods for visualizing & analyzing pedestrian flow  Space Syntax Example [2011 Integration]

10 1. Methods for visualizing & analyzing pedestrian flow  Space Syntax Example [2009 Integration]

11 1. Methods for visualizing & analyzing pedestrian flow  Space Syntax Example [2009 Connectivity]

12 1. Methods for visualizing & analyzing pedestrian flow  Space Syntax Example [2011 Alternate Layout Integration] ADJUSTEDORIGINAL

13 1. Methods for visualizing & analyzing pedestrian flow  Agent-Based Model (ABM)  Agent: Autonomous, goal-directed data points that are interactive, both with the environment and with other agents.  Pros:  More realistic than previous density or group-level approaches for pedestrian behavior.  Modeling at the individual level provides insight into complex local interactions that influence the overall movement pattern.  Flexible to fit many scenarios and environments.  Cons:  Requires high computer processing to handle a large number of agents.  Difficult to encompass all the complexities of human behavior into an agent.

14 2. Incorporating into GIS  Agent Based Models:  Hurdles to implementing ABM completely within GIS:  Difficulty of GIS in handling temporal data.  Inability of GIS to handle the execution of a model of agent behaviors for individual data points.  GIS-centric vs. ABM-centric  GIS-centric: External tools and scripts used within GIS software to develop an Agent-Based Model.  ABM-centric: GIS data used within external Agent-Based Modeling software. **PedestriansV1 ABM example downloaded from NetLogo User Community Models Website. Originally created and submitted by Singhathip Mickael in 2008.

15  Swarm  Open source  Objective C or Python  Repast (“Recursive Porous Agent Simulation Toolkit”)  Open source  Java or Python  Agent Analyst toolbox for ArcGIS – Latest release is for 9.2 (GIS-centric example)  MASON (“Multi-agent Simulator of Neighborhoods”)  Open Source  Java  NetLogo  Open Source  Has GIS extension that provides support for vector and raster data integration. Possible ABM Software Solutions:

16  UCL Depthmap  Standalone product.  Able to import geometry of environment and export space syntax results into MapInfo or.DXF file format.  Confeego  Integrated with MapInfo.  Axwoman  Works as an extension within ArcGIS (Originally for ArcView 3, but latest release works within ArcGIS10).  Others include Syntax2D, Place Syntax Tool, Segmen  Currently, External software provide more robust analysis and documentation than any GIS-based Space Syntax solutions. Possible Space Syntax Software Solutions:

17 UCL Depthmap NetLogo Export Layout ABM Simulation Visibility Graph Analysis Pedestrian Flow Simulated gate counts Integration Values Connectivity 2011 Air Show GIS Layout ArcGIS Process:  Agent-Based Model:  Used to model scenarios of pedestrian movement through the air show space  Space Syntax:  Used to characterize the layout of the air show space and explain the movement shown in the Agent-Based Model.

18 Perform Space Syntax Analysis Perform ABM Simulation Perform Space Syntax Analysis Perform ABM Simulation Perform Space Syntax Analysis Perform ABM Simulation Perform Space Syntax Analysis Perform ABM Simulation -Integration Values -Connectivity -Pedestrian Flow Model -Integration Values -Connectivity -Pedestrian Flow Model -Integration Values -Connectivity -Pedestrian Flow Model -Integration Values -Connectivity -Pedestrian Flow Model Change in Integration/Connectivity & Model Change in Integration/Connectivity & Model Change in Integration/Connectivity & Model Find Correlations ALT Process:

19 Conference Presentation / Project Timeline 7 th International Conference on Geographic Information Science (GIScience 2012) September 18-21, 2012 Deadline for Extended Abstract Submittal : May 4, 2012

20 Questions?

21 References Batty, M., Desyllas, J., & Duxbury, E. (2003). Safety in Numbers? Modeling Crowds and Designing Control for the Notting Hill Carnival. Urban Studies, 40: DOI: / Berryman, Matthew (2008). Review of Software Platforms for Agent Based Models. Land Operations Division, Defense Science and Technology Organization, Edinburgh, Australia. Available at Castle, Christian and Crooks, Andrew (2006). Principles and Concepts of Agent-Based Modeling for Developing Geospatial Simulations. Center for Advanced Spatial Analysis (University College London): Working Paper 110. London. Available at Crooks, A., Castle, C, & Batty, M. (2007). Key Challenges in Agent-Based Modeling for Geo-Spatial Simulation. Center for Advanced Spatial Analysis (University College London): Working Paper 121. London. Available at Gimblett, H. Randy (Ed.) (2002). Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Stimulating Social and Ecological Processes. Cary, NC: Ocford University Press. Jiang, Bin & Claramunt, Christophe (2002). Integration of Space Syntax into GIS: New Perspectives for Urban Morphology. Transactions in GIS, 6: 3, DOI: / O’Sullivan, David (2008). Geographical Information Science: agent-based models. Progress in Human Geography 32: 4, DOI: / Tang, Wenwu (2008). Simulating Complex Adaptive Geographic Systems: A Geographically Aware Intelligent Agent Approach. Cartography and Geographic Information Science, 35: 4, DOI: / Torrens, Paul (2012). Moving Agent Pedestrians Through Space and Time. Annals of the Association of American Geographers, 102:1, Available at Turner, Alasdair (Ed.) (2007). Proceedings of Workshop on New Developments in Space Syntax software. 6 th International Space Syntax Symposium. Istanbul Technical University: Istanbul, Turkey. Available at


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