Publication

A planning support system using interactive optimization

2019
Book Chapters

Abstract

Computational models can provide support in addressing challenges of urban planning. However, there exists a conflict between the required model inputs to reflect the decision problem, and the required insights into results for the decision maker to provide relevant inputs. This chapter presents how this conflict can be addressed by an interactive optimization approach. After introducing implied challenges, a general workflow is proposed, and its components are described in detail, namely (a) an optimization model, which incorporates decisions on multiple domains and scales, taken by different actors of urban planning, (b) the graphical representation of multivariate data allowing to explore results and define new inputs, and (c) a methodology to efficiently capture the large decision space of planners. These components are combined in the planning support tool URBio.

Official source

https://infoscience.epfl.ch/entities/publication/610276d9-0c83-4858-8855-a80e5b110511

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2019
Book Chapters

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/610276d9-0c83-4858-8855-a80e5b110511

About this result

Related concepts (32)

Decision support system

A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e. unstructured and semi-structured decision problems. Decision support systems can be either fully computerized or human-powered, or a combination of both.

Multiple-criteria decision analysis

Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine). Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and some measure of quality is typically another criterion, easily in conflict with the cost.

Multi-objective optimization

Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective is a type of vector optimization that has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives.

Related publications (4)

A planning support system using interactive optimization

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