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The Simulation of Spatial Change: What Relation Between Knowledge and Modeling? A Proposal and Its Application

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Book cover The Dynamics of Complex Urban Systems

Abstract

The aim of the research is to investigate land use transformations in a territorial area of Albania, analyzing the connections existing between the deep political and socio-economical changes. The tools we adopted, from the field of the KDS, is able to produce IF/THEN type rules, in which the “IF” part describes the observed state, and the “THEN” part identifies the transition to another state. The application included different phases:

  1. a)

    construction of maps referred to different time slices;

  2. b)

    construction of automated procedures within G.I.S. in order to perform various kinds of cartographic analysis such as map overlays, neighbouring analysis, etc;

  3. c)

    construction of automated report tables referred to cartographic analysis, containing all the attributes necessary to describe the territorial structure;

  4. d)

    implementation of an algorithm able to extract land transformation rules;

  5. e)

    analysis of the obtained rules in order to find significant relations between socio-economical and spatial evolution.

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References

  • Agrotec S.p.A. Consortium (2003) Land Use Planning Methodology. Technical Report 8. EU Phare Land Use Policy II Project, Agrotec S.p.A., Rome

    Google Scholar 

  • Agrotec S.p.A. Consortium, 2003. Preliminary Land Use Plan for Preza Commune. Technical Report 17. EU Phare Land Use Policy II Project, Agrotec S.p.A., Rome

    Google Scholar 

  • Arentze TA, Timmemrmans HJP (2000) ALBATROSS — A learning-based transportation oriented simulation system. Urban Planning Group/EIRASS, Eindhoven University of Technology, The Nederlands

    Google Scholar 

  • Arrow K (1951) Social Choice and Individual Values. Cowles Foundations and Wiley, New York

    Google Scholar 

  • Axtell RL, Epstein JM, Dean JS, Gunerman G, Swedlund A (2002) Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Sciences of the United States of America 99:3: 7275–7279

    Article  Google Scholar 

  • Bana e Costa C (1990) Readings in multiple criteria decision aid. Springer, Berlin

    Google Scholar 

  • Ben-Akiva M, Lerman SR (1985) Discrete Choice Analysis Theory and Application to travel demand. The MIT Press, Cambridge, MA

    Google Scholar 

  • Bonchi F, Lombardo S, Pecori S, Santucci A (2004a) Learning about Land Use change in Rome and in Pisa Urban areas. In: Diappi L (ed) Evolving Cities: Geocomputation in Territorial Planning. Ashgate, England

    Google Scholar 

  • Bonchi F, Lombardo S, Pecori S (2004b) Knowledge discovery and data mining to investigate urban and territorial evolution: tools and methodologies. In: Diappi L (ed) Evolving Cities: Geocomputation in Territorial Planning. Ashgate, England

    Google Scholar 

  • Burrough PA, McDonnell RA (1997) Principles of Geographical Information System. Oxford University Press, Oxford

    Google Scholar 

  • Cioffi-Revilla C, Gotts NM (2002) Comparative analysis of agent-based social simulations: GeoSim and FEARLUS models. Paper presented at the Model-2-Model Workshop on Comparing Multi-Agent Based Simulation Models, March 31–April 1 2003, Marseille, France

    Google Scholar 

  • Faludi A (1987) A Decision Centered View of Planning. Pion, London

    Google Scholar 

  • Fayyad U, Piatetsky-Shapiro G, Smith P, Uturusamy R (1996) Advances in knowledge Discovery and Data Mining. AAAI/MIT Press, Mento Park, CA

    Google Scholar 

  • Han J, Kamber M (2000) Data mining: concepts and techniques. Morgan Kaufmann, S.Francisco

    Google Scholar 

  • Hanisch A, Schultze T (2003) Online simulation of pedestrian, flow in public buildings. In: Chick S, Sanchez D, Ferrin D, Morrice DJ (eds) Proceedings of Winter Simulation Conference, Association for Computing Machinery, New York

    Google Scholar 

  • Heppenstall AJ, Evans AJ, Birkin M (2003) A hybrid multi-agent/spatial interaction model system for petrol price setting. Transaction in GIS 9:1: 35–51

    Article  Google Scholar 

  • Holsheimer M, Siebes A (1994) Data mining: the search for knowledge in databases. CWI Technical Report CS-R9406, Amsterdam

    Google Scholar 

  • Jager W, Janssen M (2003) The need for development of behaviourally realistic agents. In: Sichman JS, Bousquet F, Davidsson P (eds) Multi-Agent based simulation II. Lecture Notes in Artificial Intelligence, Springer, Berlin, pp 36–49

    Chapter  Google Scholar 

  • Lapucci A, Lombardo S, Petri M, Santucci A (2005) A KDD based multicriteria decision making model for fire risk evaluation. Proceedings of 8th AGILE 2005-Conference on GIScience, 25–29 May, Estoril, Portugal

    Google Scholar 

  • Lombardo S, Pecori S (2004) Investigating Urban structure and evolution through Artificial Intelligence tools. Studies in Regional & Urban Planning, Special Number, pp 32–52

    Google Scholar 

  • Lombardo S, Petri M (2005) Un sistema di supporto alle decisioni: integrazione di analisi GIS e Datamining. In: Las Casas G, Pontrandolfi P, Murgente B (eds) Proceedings of the conference URBING 2005, 29th–30th April, Potenza, Italy, pp 15–27

    Google Scholar 

  • Lombardo S, Petri M, Zotta D (2003) Urban services spatial dynamics in a changing environment simulated by a multi agent system. 13th European Colloquium on Theoretical and Quantitative Geography, vol 1, Lucca, Italy

    Google Scholar 

  • Lombardo S, Petri M, Zotta D (2004) Intelligent GIS and retail location dynamics. International Journal Computational Science and Its Application (ICCSA 2004), Assisi, Italy, vol 2, pp 1046–1056

    Google Scholar 

  • Lombardo S, Rabino GA (1983) Some simulations on a Central Place Theory Model. Sistemi urbani 5:2: 315–332

    Google Scholar 

  • Malczewski J (1999) GIS and Multicriteria Decision Analysis. John Wiley, New York

    Google Scholar 

  • Martelli P (1983) La logica della scelta collettiva. Il Saggiatore, Milano

    Google Scholar 

  • Nonas E, Poulovassilis A (1998) Optimisation of Active Rule Agents Using a Genetic Algorithm Approach. DEXA, pp 332–341

    Google Scholar 

  • Occelli S (2004) A perspective on MAS approach in urban modelling, IRES-Istituto di Ricerche Economico Sociali del Piemonte

    Google Scholar 

  • Otter HS, van der Veen A, de Vriend HJ (2001) ABLOoM: Location behaviour, spatial patterns, and agent-based modelling. Journal of Artificial Societies and Social Simulation, vol 4, nr 4

    Google Scholar 

  • Pecori S, Santucci A (2002) The competition for land between urban and rural systems investigated by G.I.S. and Data Mining techniques. Proceedings of the 3rd International Conference of Decision Making in Urban and Civil Engineering, 6–8 November, London

    Google Scholar 

  • Piatetsky-Shapiro G, Frawley WJ (1991) Knowledge Discovery in Databases. AAAI/MIT Press

    Google Scholar 

  • Quinlan JR (1986) Induction of decision trees. Machine Learning 1: 81–106

    Google Scholar 

  • Roy B (1979) De-quelle decision s’agit-il, qui aider et comment?. Document du LAMSADE nr. 4

    Google Scholar 

  • Roy B (1985) Méthodologie Multicritère d’ Aide à la Décision. Ed. Economica, Paris

    Google Scholar 

  • Schelhorn T, O’Sullivan D, Haklay M, Thurstain-Goodwin M (1999) STREET: an agent-based pedestrian model. Centre for Advanced Spatial Analysis, University College London, Paper 9

    Google Scholar 

  • Semboloni F, Assfalg J, Armeni S, Gianassi R, Marsoni F (2004) CityDev, an interactive multi-agents model on the web. Computers environment and urban system 4: 45–64

    Article  Google Scholar 

  • Tabak V, de Vries B, Dijkstra J (2004) User Behaviour Modelling-Applied in the context of space utilisation. In: von Leeuwen JP, Timmermans HJ (eds) Development in Design and Decision Support System in Architecture and Urban Planning, Eindhoven University of Technology, pp 141–156

    Google Scholar 

  • Van Delft A, Nijkamp P (1977) Multicriteria Analysis and Regional Decision Making. Martinuns Nijnhof, Leiden

    Google Scholar 

  • Vincke Ph (1981) Multicriteria Analysis: survey and new directions. European Journal of Operation Research 8: 207–218.

    Article  Google Scholar 

  • Vincke Ph (1992) Multicriteria Decision Aid. John Wiley, Chichester

    Google Scholar 

  • Waddel P, Borning A, Noth M, Freier N, Becker M (2003) Microsimulation of Urban Development and Location Choices: Design and Implementation of UrbanSim. University of Washington, Seattle

    Google Scholar 

  • White R, Engelen G (2000) High-resolution integrated modelling of the spatial dynamics of urban and regional systems, Pergamon press, Computers. Environment and Urban Systems 24: 383–400

    Article  Google Scholar 

  • Wilson AG (1981) Catastrophe theory and bifurcation: applications to urban and regional systems. Croom Helm, London, University of California Press, Berkeley.

    Google Scholar 

  • Wilson AG (2000) Complex Spatial System: The modelling foundations of urban and regional analysis. Pearson Education, Harlow, pp 62–77

    Google Scholar 

  • Witten IH, Frank E (2000) WEKA-Machine Learning Algorithms in Java. Morgan Kaufmann, S. Francisco

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, University of Pisa, Italy

    Silvana Lombardo & Massimiliano Petri

Authors
  1. Silvana Lombardo
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  2. Massimiliano Petri
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Editor information

Editors and Affiliations

  1. Institute for Applied Mathematics, University of Bonn, Germany

    Sergio Albeverio

  2. Accademia di Architettura, Università della Svizzera Italiana, Via Canavée, 6850, Mendrisio, Switzerland

    Sergio Albeverio , Denise Andrey , Paolo Giordano  & Alberto Vancheri , ,  & 

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© 2008 Physica-Verlag Heidelberg and Accademia di Architettura, Mendrisio, Switzerland

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Lombardo, S., Petri, M. (2008). The Simulation of Spatial Change: What Relation Between Knowledge and Modeling? A Proposal and Its Application. In: Albeverio, S., Andrey, D., Giordano, P., Vancheri, A. (eds) The Dynamics of Complex Urban Systems. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1937-3_16

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