Go East: A Residential Land Use Model for the Periphery of Rome

Abstract

In this paper we present a model of urban growth and its preliminary application to acase study of the phenomena of residential development in the setting of the eastern periphery ofRome, Italy’s capital city. The modeling approach we use synthesises the two typical paradigmswidespread in the community of quantitative urban planning: the traditional one, based on cellularautomata (CA), and the (relatively) new one, which is agent-based. In particular, our multi-agentsystem (MAS) is in-between a reactive MAS, with agents carrying out a two-staged decision processin a complex environment, and a model of statistical physics, since we use populations ofagents in order to reduce the number of degrees of freedom of the system. While we explicitlymodel the consumption of agricultural and undeveloped land due to urban growth, our modelmay be easily integrated as a socio-economic part into a wider decision support system for environmentalplanning, e.g. our simulations can produce indicators of environmental impact of thegrowth of the city: electricity consumption, waste production, etc.

Publication
Proceedings of 4th International Congress on Environmental Modelling and Software
Date
Links

BibTeX

@InProceedings{Ciampaglia2008,
  Title                    = {Go East: a residential land use model for the periphery of {R}ome},
  Author                   = {Ciampaglia, Giovanni L. and Tirozzi, B.},
  Booktitle                = {Proceedings of the iEMSs Fourth Biennial Meeting: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making},
  Year                     = {2008},

  Address                  = {Barcelona, Catalonia},
  Editor                   = {Miquel S\`{a}nchez-Marr\`{e} and Javier B\'{e}jar and Joaquim Comas and Andrea E. Rizzoli and Giorgio Guariso},
  Month                    = jul,
  Pages                    = {817--826},
  Publisher                = {International Environmental Modelling and Software Society},

  Keywords                 = {Rome, CA, agent-based model, land use, urban}
}