CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id ddss2004_ra-19
authors Akamine, A. and A. Nélson Rodrigues da Silva
year 2004
title An Evaluation of Neural Spatial Interaction Models Based on a Practical Application
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: 1-4020-2408-8, p. 19-32
summary One of the serious problems faced by the Brazilian municipalities is the scarcity of resources for building education infrastructure. This asks for an optimal allocation of the available resources that includes, among other things, a rational spatial arrangement of the supply points (i.e., schools) in order to increase the demand coverage (i.e., students). If it is possible to foresee the regions where the demand is going to be concentrated, it is then possible to plan the location of new facilities and to assess the impact on the future level of service of the entire system. Considering that one of the consequences of the location-allocation process is the distribution of trips from demand points to supply points throughout the city, therefore affecting the overall intraurban accessibility conditions to essential services such as education, there is a strong need of models that planners can rely on to predict the future trip distribution patterns. As a result, the objective of this work was to evaluate the performance of Artificial Neural Networks (ANN) when applied to spatial interaction models, the so-called Neural Spatial Interaction Models. This was done in a practical context, in contrast to the more theoretical works commonly found in literature. The practical application showed that the neural spatial interaction model had different performances when compared to the traditional gravity models. In one case the neural models outperformed the gravity models, while on the other case it was just the opposite. The explanation for this may be in the data or in the ANN model formulation, as discussed in the conclusions.
keywords Artificial Neural Networks, Spatial Interaction Models, Education Infrastructure
series DDSS
full text file.pdf (238,228 bytes)
references Content-type: text/plain
details citation check to select
100%; open Almeida, L.M.W. and M.B. Gonçalves (2001) Find in CUMINCAD A methodology to incorporate behavioral aspects in trip-distribution models with an application to estimate student flow , Environment and Planning A. 33, p.1125-1138
100%; open Black, W. (1995) Find in CUMINCAD Spatial interection modeling using artificial neural networks , Journal of Transport Geography, 3(3), p. 159-166
100%; open Bocanegra, C.W.R. (2002) Find in CUMINCAD Alternative procedures to make more effective the application of artificial neural networks in transportation planning , M.S. Thesis, University of São Paulo, School of Engineering of São Carlos, São Carlos, SP, Brazil
100%; open Fischer, M.M. and M. Reismann (2002) Find in CUMINCAD A Methodology for Neural Spatial Interaction Modeling , Geographical Analysis, 34(3), p. 207-228
100%; open Fischer, M.M., M. Reismann, and K. Hlavácková-Schindler (1999) Find in CUMINCAD Parameter estimation in neural spatial interaction modelling by a derivative free global optimization method , International Conference on GeoComputation, 4, Fredericksburg, Virginia, USA
100%; open Lima, R.S., A.N.R. Silva, and J.F.G. Mendes (2003) Find in CUMINCAD A SDSS for integrated management of health and education facilities at the local level: challenges and opportunities in a developing country , International Conference on Computers in Urban Planning and Urban Management, 8, Sendai, Japan, Proceedings... (CD-ROM). Sendai, Center for Northeast Asian Studies, Tohoku University
100%; open Openshaw, S. (1993) Find in CUMINCAD Modeling spatial interaction using a neural net , Fisher and Nijkamp (eds.), Geographic Information Systems, spatial modeling and policy evaluation, SpringerVerlag, Berlin, p. 147-164
100%; open Wolstenholme, S. (2002) Find in CUMINCAD Neural Network Software for Windows , EasyNN-plus

last changed 2004/07/03 20:13
HOMELOGIN (you are user _anon_468136 from group guest) Works Powered by SciX Open Publishing Services 1.002