Abstract
A composite multidimensional method, encompassing the complete typology of multi-objective programming models and multi-criteria evaluation methods, is developed for the interactive resolution of conflicting multilevel and multistage decisions in urban systems. The resulting compromise approach corresponds to a Harmonious Adaptive Learning Procedure (HALP). Compromise trajectories are generated using a development planning model in which resource allocation is determined by a stepwise interactive planning scheme of multistage decision processes at the macro and meso levels of the city system.
This paper was written during the author’s stay as a visiting scientist at the International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria
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Batten, D. (1985). Conflict, Inertia, and Adaptive Learning in Urban Systems Modelling. In: Hutchinson, B.G., Nijkamp, P., Batty, M. (eds) Optimization and Discrete Choice in Urban Systems. Lecture Notes in Economics and Mathematical Systems, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51020-5_5
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DOI: https://doi.org/10.1007/978-3-642-51020-5_5
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