INTEGRATION OF AGENT-BASED MODELIING AND GIS FOR URBAN SIMULATION

Urban simulation has remained an interesting research topic for many years. Issues like urban growth, congestion and segregation demand advanced modeling approaches. Numerous approaches and modeling techniques have been applied and they all have their own advantages and deficiencies. While aggregative modeling techniques have been criticized by researchers for their serious lacks for such a modeling, individual-based modeling techniques have received special attention lately. Among these models, agent-based modeling is considered to have outstanding superiorities. Agent-based modeling provides a better understanding of the structure and processes of urban systems. Integration of this modeling technique with GIS will enhance their potential for urban simulation purposes dramatically. This paper reviews the applications of agent-based modeling in urban simulation, and then depicts the necessity of integrating this modeling approach with GIS and reports current state and prospect of this integration.

[1]  Michael Batty,et al.  Agent-based pedestrian modelling , 2003 .

[2]  John R. Koza,et al.  Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.

[3]  Gary Marchionini,et al.  A study on video browsing strategies , 1997 .

[4]  William Rand,et al.  Spatial process and data models: Toward integration of agent-based models and GIS , 2005, J. Geogr. Syst..

[5]  Robert L. Axtell,et al.  WHY AGENTS? ON THE VARIED MOTIVATIONS FOR AGENT COMPUTING IN THE SOCIAL SCIENCES , 2000 .

[6]  Paul M. Torrens,et al.  Geosimulation: Object-based Modeling of Urban Phenomena , 2022 .

[7]  Mordechai Haklay,et al.  STREETS: an agent-based pedestrian model , 1999 .

[8]  Paul M. Torrens,et al.  Geographic Automata Systems , 2005, Int. J. Geogr. Inf. Sci..

[9]  Jürgen Assfalg,et al.  CityDev, an interactive multi-agents urban model on the web , 2004, Comput. Environ. Urban Syst..

[10]  Paul M. Torrens,et al.  A Geographic Automata Model of Residential Mobility , 2007 .

[11]  I. Benenson MULTI-AGENT SIMULATIONS OF RESIDENTIAL DYNAMICS IN THE CITY , 1998 .

[12]  Michael Batty,et al.  Agents, Cells, and Cities: New Representational Models for Simulating Multiscale Urban Dynamics , 2005 .

[13]  Marcus Wigan,et al.  Agent-Based Modelling of Pedestrian Movements: The Questions That Need to Be Asked and Answered , 2001 .

[14]  Shivanand Balram,et al.  Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes , 2003, The Professional Geographer.

[15]  John Anderson Providing a Broad Spectrum of Agents in Spatially-Explicit Simulation Models , 2003 .

[16]  Michael Wooldridge,et al.  Agent-based software engineering , 1997, IEE Proc. Softw. Eng..

[17]  M. Batty,et al.  Safety in Numbers? Modelling Crowds and Designing Control for the Notting Hill Carnival , 2003 .

[18]  Paul M. Torrens,et al.  Ucl Centre for Advanced Spatial Analysis Can Geocomputation save Urban Simulation? Throw Some Agents into the Mixture, Simmer and Wait , 2022 .