A computational sandbox with human automata for exploring perceived egress safety in urban damage scenarios

References

• Alam, Sajjad, and Konstadinos Goulias. 1999. “Dynamic Emergency Evacuation Management System Using Geographic Information System and Spatiotemporal Models of Behavior.” Transportation Research Record: Journal of the Transportation Research Board 1660: 92–99. doi: 10.3141/1660-12
   Google Scholar
• Badler, Norman I., Kamran. H. Manoochehri, and Grahm Walters. 1987. “Articulated Figure Positioning by Multiple Constraints.” IEEE Computer Graphics and Applications 7 (6): 28–38. doi: 10.1109/MCG.1987.276894
   Web of Science ®Google Scholar
• Barsalou, Lawrence W. 2008. “Grounded Cognition.” Annual Review of Psychology 59 (1): 617–645. doi: 10.1146/annurev.psych.59.103006.093639
   PubMed Web of Science ®Google Scholar
• Batty, Michael. 1997. “Predicting Where We Walk.” Nature 388 (6637): 19–20. doi: 10.1038/40266
   PubMed Web of Science ®Google Scholar
• Batty, Michael, David Chapman, Steve Evans, Muki Haklay, Stefan Kueppers, Naru Shiode, Andy Smith, and Paul M. Torrens. 2001. “Visualizing the City: Communicating Urban Design to Planners and Decision-Makers.” In Planning Support Systems in Practice: Integrating Geographic Information Systems, Models, and Visualization Tools, edited by Richard K. Brail, and Richard E. Klosterman, 405–443. Redlands, CA: ESRI Press and Center for Urban Policy Research Press.
   Google Scholar
• Batty, Michael, and Paul M. Torrens. 2001. “Modeling Complexity: The Limits to Prediction.” CyberGeo 201 (1), Online 1035.
   Google Scholar
• Batty, Michael, and Paul M. Torrens. 2005. “Modeling and Prediction in a Complex World.” Futures 37 (7): 745–766. doi: 10.1016/j.futures.2004.11.003
   Web of Science ®Google Scholar
• Baudrillard, Jean. 1994. Simulacra and Simulation. Ann Arobor, MI: University of Michigan Press.
   Google Scholar
• Chen, M., H. Lin, L. He, M. Hu, and C. Zhang. 2013. “Real-Geographic-Scenario-Based Virtual Social Environments: Integrating Geography with Social Research.” Environment and Planning B: Planning and Design 40 (6): 1103–1121. doi: 10.1068/b38160
   Web of Science ®Google Scholar
• Edelsbrunner, Herbert, David Kirkpatrick, and Raimund Seidel. 1983. “On the Shape of a Set of Points in the Plane.” IEEE Transactions on Information Theory 29 (4): 551–559. doi: 10.1109/TIT.1983.1056714
   Web of Science ®Google Scholar
• Fiedrich, Frank, and Paul Burghardt. 2007. “Agent-Based Systems for Disaster Management.” Communications of the ACM 50 (3): 41–42. doi: 10.1145/1226736.1226763
   Web of Science ®Google Scholar
• Filippidis, L., E. R. Galea, S. Gwynne, and P. J. Lawrence. 2006. “Representing the Influence of Signage on Evacuation Behavior within an Evacuation Model.” Journal of Fire Protection Engineering 16 (1): 37–73. doi: 10.1177/1042391506054298
   Google Scholar
• Gwynne, S., Edward R. Galea, M. Owen, P. J. Lawrence, and L. Filippidis. 1999. “A Review of the Methodologies Used in the Computer Simulation of Evacuation from the Built Environment.” Building and Environment 34: 741–749. doi: 10.1016/S0360-1323(98)00057-2
   Web of Science ®Google Scholar
• Hanks, Thomas C., and A. Gerald Brady. 1991. “The Loma Prieta Earthquake, Ground Motion, and Damage in Oakland, Treasure Island, and San Francisco.” Bulletin of the Seismological Society of America 81 (5): 2019–2047.
   Web of Science ®Google Scholar
• Hart, Peter E., Nils J. Nilsson, and Bertram Raphael. 1968. “A Formal Basis for the Heuristic Determination of Minimum Cost Paths.” IEEE Transactions on Systems Science and Cybernetics 4 (2): 100–107. doi: 10.1109/TSSC.1968.300136
   Web of Science ®Google Scholar
• Hofinger, Gesine, Robert Zinke, and Laura Künzer. 2014. “Human Factors in Evacuation Simulation, Planning, and Guidance.” Transportation Research Procedia 2: 603–611. doi: 10.1016/j.trpro.2014.09.101
   Google Scholar
• Kaya, Ş., P. J. Curran, and G. Llewellyn. 2005. “Post-earthquake Building Collapse: A Comparison of Government Statistics and Estimates Derived from SPOT HRVIR Data.” International Journal of Remote Sensing 26 (13): 2731–2740. doi: 10.1080/01431160500099428
   Web of Science ®Google Scholar
• Lin, Hui, and Michael Batty. 2011. Virtual Geographic Environments: A Primer. Redlands, CA: ESRI Press.
   Google Scholar
• Lin, H., M. Batty, S. E. Jørgensen, B. Fu, M. Konecny, A. Voinov, P. M. Torrens, et al. 2015. “Virtual Environments Begin to Embrace Process-Based Geographic Analysis.” Transactions in GIS 19 (4): 1–5. doi: 10.1111/tgis.12167
   Web of Science ®Google Scholar
• Lin, Hui, Min Chen, and Guonian Lu. 2013a. “Virtual Geographic Environment: A Workspace for Computer-Aided Geographic Experiments.” Annals of the Association of American Geographers 103 (3): 465–482. doi: 10.1080/00045608.2012.689234
   Web of Science ®Google Scholar
• Lin, Hui, Min Chen, Guonian Lu, Qing Zhu, Jiahua Gong, Xiong You, Yongning Wen, Bingli Xu, and Mingyuan Hu. 2013b. “Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool.” Earth-Science Reviews 126 (1): 74–84. doi: 10.1016/j.earscirev.2013.08.001
   Web of Science ®Google Scholar
• Nams, Vilis O. 1996. “The VFractal: A New Estimator for Fractal Dimension of Animal Movement Paths.” Landscape Ecology 11 (5): 289–297. doi: 10.1007/BF02059856
   Web of Science ®Google Scholar
• NVIDIA. 2012. “PhysX.” Santa Clara, CA: NVIDIA Corporation.
   Google Scholar
• Pentland, Alex. 2014. Social Physics: How Good Ideas Spread – The Lessons from a New Science. New York, NY: Penguin.
   Google Scholar
• Petruccelli, Umberto. 2003. “Urban Evacuation in Seismic Emergency Conditions.” Institute of Transportation Engineers. ITE Journal 73 (8): 34–38.
   Web of Science ®Google Scholar
• Reynolds, Craig W. 1987. “Flocks, Herds, and Schools: A Distributed Behavioral Model.” ACM SIGGRAPH Computer Graphics 21 (4): 25–34. doi: 10.1145/37402.37406
   Google Scholar
• Reynolds, Craig W. 1999. “Steering Behaviors for Autonomous Characters.” In. Proceedings of Game Developers Conference, edited by Miller Freeman Game Group, 763–782. San Francisco, CA: Miller Freeman Game Group.
   Google Scholar
• Schneider, Volker, and Rainer Könnecke. 2010. “Egress Route Choice Modelling—Concepts and Applications.” In Pedestrian and Evacuation Dynamics 2008, edited by Wolfram W. F. Klingsch, Christian Rogsch, Andreas Schadschneider, and Michael Schreckenberg, 619–625. Berlin: Springer.
   Google Scholar
• Schneider, P. J., and B. A. Schauer. 2006. “HAZUS—Its Development and Its Future.” Natural Hazards Review 7 (2): 40–44. doi: 10.1061/(ASCE)1527-6988(2006)7:2(40)
   Google Scholar
• Sharma, S., and S. Gifford. 2005. “Using RFID to Evaluate Evacuation Behavior Models.” In NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, Detroit, MI, June 26–28, 2005, edited by Dimitar Filev, 804–808. Piscataway, NJ: IEEE.
   Google Scholar
• Shiwakoti, Nirajan, Majid Sarvi, Geoff Rose, and Martin Burd. 2009. “Enhancing the Safety of Pedestrians during Emergency Egress.” Transportation Research Record: Journal of the Transportation Research Board 2137 (-1): 31–37. doi: 10.3141/2137-04
   Web of Science ®Google Scholar
• Swan, Melanie. 2012. “Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0.” Journal of Sensor and Actuator Networks 1 (3): 217–253. doi: 10.3390/jsan1030217
   Google Scholar
• Torrens, Paul M. 2007. “Behavioral Intelligence for Geospatial Agents in Urban Environments.” In IEEE Intelligent Agent Technology (IAT 2007), edited by Tsau Young Lin, Jeffrey M. Bradshaw, Matthias Klusch, and Chengqi Zhang, 63–66. Los Alamitos, CA: IEEE.
   Google Scholar
• Torrens, Paul M. 2012. “Moving Agent Pedestrians through Space and Time.” Annals of the Association of American Geographers 102 (1): 35–66. doi: 10.1080/00045608.2011.595658
   Web of Science ®Google Scholar
• Torrens, Paul M. 2014a. “High-Fidelity Behaviours for Model People on Model Streetscapes.” Annals of GIS 20 (3): 139–157. doi: 10.1080/19475683.2014.944933
   Google Scholar
• Torrens, Paul M. 2014b. “High-Resolution Space–Time Processes for Agents at the Built–Human Interface of Urban Earthquakes.” International Journal of Geographical Information Science 28 (5): 964–986. doi: 10.1080/13658816.2013.835816
   Web of Science ®Google Scholar
• Torrens, Paul M. 2015. “Slipstreaming Human Geosimulation in Virtual Geographic Environments.” Annals of GIS 21 (4): 325–344. doi: 10.1080/19475683.2015.1009489
   Google Scholar
• Torrens, Paul M. 2016a. “Computational Streetscapes.” Computation 4 (3): 37. doi:10.3390/computation4030037.
   Web of Science ®Google Scholar
• Torrens, Paul M. 2016b. “Exploring Behavioral Regions in Agents’ Mental Maps.” The Annals of Regional Science 57 (2): 309–334. doi: 10.1007/s00168-015-0682-0
   Web of Science ®Google Scholar
• Torrens, Paul M., and Itzhak Benenson. 2005. “Geographic Automata Systems.” International Journal of Geographical Information Science 19 (4): 385–412. doi: 10.1080/13658810512331325139
   Web of Science ®Google Scholar
• Torrens, Paul M., and Atsushi Nara. 2013. “Polyspatial Agents for Multi-Scale Urban Simulation and Regional Policy Analysis.” Regional Science Policy and Practice 44 (4): 419–445.
   Google Scholar
• Torrens, Paul M., Atsushi Nara, Xun Li, Haojie Zhu, William A. Griffin, and Scott B. Brown. 2012. “An Extensible Simulation Environment and Movement Metrics for Testing Walking Behavior in Agent-Based Models.” Computers, Environment and Urban Systems 36 (1): 1–17. doi: 10.1016/j.compenvurbsys.2011.07.005
   Web of Science ®Google Scholar
• Tuan, Yi-Fu. 1975a. “Images and Mental Maps.” Annals of the Association of American Geographers 65 (2): 205–212. doi: 10.1111/j.1467-8306.1975.tb01031.x
   Web of Science ®Google Scholar
• Tuan, Yi-Fu. 1975b. “Place: An Experiential Perspective.” Geographical Review 65: 151–165. doi: 10.2307/213970
   Web of Science ®Google Scholar