Paper
3 November 2008 Agent-based modeling and simulation for pedestrian movement behaviors in space: a review of applications and GIS issues
Yuhong Zhou
Author Affiliations +
Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71431I (2008) https://doi.org/10.1117/12.812583
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Agent-based approach has the advantage of supporting researches on local dynamics of pedestrian movement at a fine scale. After discussing the categories of environment and pedestrian behaviors, this paper reviews the recent development of diverse applications of agent-based pedestrian modeling and simulation under the four headings: (1) transportation planning for pedestrian facilities, (2) planning and design of urban space, (3) crowding, evacuation/panic, and disaster management, and (4) commercial activity organization and shopping behavior. The proposed various models and simulation systems in most of the applications are still immature and not suitable for practical decision-making. The last section of the paper discusses the relationship between GIS and agent-based pedestrian models and simulation systems, and stresses the enhancement of such models and simulations by incorporating more spatial query and analysis functionalities of GIS.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuhong Zhou "Agent-based modeling and simulation for pedestrian movement behaviors in space: a review of applications and GIS issues", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71431I (3 November 2008); https://doi.org/10.1117/12.812583
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Cited by 5 scholarly publications.
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KEYWORDS
Systems modeling

Geographic information systems

Modeling and simulation

Buildings

Computer simulations

Mathematical modeling

Data modeling

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