CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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id ddss2004_ra-33
authors Diappi, L., P. Bolchim, and M. Buscema
year 2004
title Improved Understanding of Urban Sprawl Using Neural Networks
source Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & Decision Support Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 14020-2408-8, p. 33-49
summary It is widely accepted that the spatial pattern of settlements is a crucial factor affecting quality of life and environmental sustainability, but few recent studies have attempted to examine the phenomenon of sprawl by modelling the process rather than adopting a descriptive approach. The issue was partly addressed by models of land use and transportation which were mainly developed in the UK and US in the 1970s and 1980s, but the major advances were made in the area of modelling transportation, while very little was achieved in the area of spatial and temporal land use. Models of land use and transportation are well-established tools, based on explicit, exogenouslyformulated rules within a theoretical framework. The new approaches of artificial intelligence, and in particular, systems involving parallel processing, (Neural Networks, Cellular Automata and Multi-Agent Systems) defined by the expression “Neurocomputing”, allow problems to be approached in the reverse, bottom-up, direction by discovering rules, relationships and scenarios from a database. In this article we examine the hypothesis that territorial micro-transformations occur according to a local logic, i.e. according to use, accessibility, the presence of services and conditions of centrality, periphericity or isolation of each territorial “cell” relative to its surroundings. The prediction capabilities of different architectures of supervised Neural networks are implemented to the south Metropolitan area of Milan at two different temporal thresholds and discussed. Starting from data on land use in 1980 and 1994 and by subdividing the area into square cells on an orthogonal grid, the model produces a spatial and functional map of urbanisation in 2008. An implementation of the SOM (Self Organizing Map) processing to the Data Base allows the typologies of transformation to be identified, i.e. the classes of area which are transformed in the same way and which give rise to territorial morphologies; this is an interesting by-product of the approach.
keywords Neural Networks, Self-Organizing Maps, Land-Use Dynamics, Supervised Networks
series DDSS
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100%; open Batty M., Y. Xie and Z. Sun (1999) Find in CUMINCAD Modelling urban dynamics in through GIS based Cellular automata , Computers, Environment and urban Systems, 23, p. 205-234
100%; open Bishop I. (1994) Find in CUMINCAD Comparing regression and NN based approach to Modelling of scenic beauty , WP of Center for GIS and Modelling, University of Melbourne, Melbourne, Australia
100%; open Buscema M. (ed.) (1998) Find in CUMINCAD Artificial Neural Networks and Complex Social Systems. I Theory, II Models, III Applications , Special Issue of Substance Use and Misuse, 33
100%; open Clarke K., S. Hoppen and I. Gaydos (1997) Find in CUMINCAD A self modifying cellular automaton model of historical urbanisation in the San Francisco Bay Area , Environment and Planning B, 24, p. 247-261
100%; open Deadman P. and R. Gimblett (1995) Find in CUMINCAD Merging technologies: linking ANN to GIS for Landscape research and Education , WP School of renewable natural resources, University of Arizona, Tucson, Arizona
100%; open Diappi L., M. Buscema and M. Ottanŕ (1998) Find in CUMINCAD A neural network investigation on the crucial Assets of urban Sustainability , Substance Use and Misuse Special Issue on Artificial Neural Networks and Social Systems, 33, p. 793-817
100%; open Fischer M.M. and Y. Leung (eds.) (2001) Find in CUMINCAD Geocomputational Modelling , Springer Verlag, Berlin- Heidelberg
100%; open Hecht-Nielsen R. (1990) Find in CUMINCAD Neurocomputing , Addison-Wesley Publishing Company, Reading, Mass.
100%; open Hinton G.E. and J.L. McLelland (1988) Find in CUMINCAD Learning representation by recirculation , Proceedings of IEEE Conference on Neural Information Processing Systems, November 1988
100%; open Kohonen T. (1995) Find in CUMINCAD Self-Organising Maps , Springer Verlag, Berlin
100%; open Openshaw S. and R.J. Abrahart (2000) Find in CUMINCAD Geocomputation , Taylor & Francis, London and New York
100%; open Portugali J., I. Benenson and I. Omer (1994) Find in CUMINCAD Socio-spatial residential dynamics: stability and instability within a self-organizing city , Geographical Analysis, 26, p. 321-340
100%; open Portugali J., I. Benenson and I. Omer (1997) Find in CUMINCAD Spatial cognitive dissonance and socio-spatial emergence in a self-organizing city , Environment and Planning B, 24, p. 263-285
100%; open Reggiani A. (2000) Find in CUMINCAD Spatial economic science , Springer Verlag, Berlin and Heidelberg
100%; open Sui D.Z. (1992) Find in CUMINCAD An initial investigation of integrating NN with GIS for spatial Decision Making , Proceedings of GIS/LIS 92, San Jose, California
100%; open White R. and G. Engelen (2000) Find in CUMINCAD High resolution integrated modelling of the spatial dynamics of urban and regional systems , Computers, Environment and urban Systems, 24, p. 383400
100%; open Wu F. (1998) Find in CUMINCAD An experiment on the generic polycentricity of urban growth in a cellular automatic city , Environment and Planning B, 25, p. 731-75

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