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Integrated Policy Analysis by Means of Interactive Learning Models

Bibliographic Data

ID4912401
AuthorsPeter Nijkamp (0000-0002-4068-8132), Jaap Spronk (Erasmus University Rotterdam)
Year1983
Volume15
Issue9
Pages1195-1204
Publication date1983-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a151195
OpenAlexW1999590326
LanguageEN
References cited12

In this paper the author makes a plea for interactive multiobjective policy analysis in complex economic-environmental systems. An operational method, interactive multiple-goal programming (IMGP), is described in greater detail followed by a case study for the industrial heartland of Western Europe. Results of various experiments with IMGP are described, and some general lessons from such interactive policy analyses are presented

Environmental planning · Geography · Industrial engineering · Interactive Learning · Interactive programming · Machine learning · Management science · Multimedia · Operations research · Plea · Policy analysis · Policy learning · Political science · Software engineering · Computer Science · Engineering · Optimization and Mathematical Programming · Public Administration · Transportation Planning and Optimization · Water resources management and optimization

  • Decisions with Multiple Objectives

    Open Access•Ralph L Keeney, Howard Raiffa•Decisions with Multiple Objectives•1993

  • A scaling method for priorities in hierarchical structures

    Open Access•Thomas L Saaty•Journal of Mathematical Psychology•1977

  • Economic Policy

    J C R Dow, J Tinbergen•The Economic Journal•1959

  • A Method for Evaluating the Distribution of Power in a Committee System

    Open Access•L S Shapley, Martin Shubik•American Political Science Review•1954

Citation velocityhistorical
Highly citedNo

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