The optimum is not the goal: capturing the decision space for the planning of new neighborhoods

Schüler, Nils (Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Switzerland) ; Cajot, Sébastien (Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Sion, Switzerland ; European Institute for Energy Research, Karlsruhe, Germany) ; Peter, Markus (European Institute for Energy Research, Karlsruhe, Germany) ; Page, Jessen (HES-SO Valais, Haute école d’ingénierie (HEI), HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Sion, Switzerland) ; Maréchal, François (Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Switzerland)

This article presents the development and application of a methodology that employs optimization not to seek the single or few optimal plan(s) but to provide planners with a systematic overview of their decision space. As urban development projects are not only subject to decisions of planners but also to those of many actors, the insight about how different actors would decide based on the decisions of the planners should enable planners to already adapt their decisions to ensure that final project targets are reached. The existence of different decision makers is considered via a multiparametric mixed-integer linear programming (mpMILP) approach. Along with the methodology a model was developed, which incorporates multiple domains and scales. Those domains include social, environmental, form, energy, and economic aspects. The considered scales range from single floors up to a neighborhood. Model and methodology were applied to a greenfield development project. Two practical questions are answered, which address the impact of planning decisions about (a) the building density and the sustainability of the energy supply on costs of different actors and (b) the building density and the share of parks on the view on a landmark. The capturing of the decision space revealed trade-offs in terms of chosen energy supply system and urban form, respectively. The presented computational method forms part of the decision support tool URBio, which shall assist urban planning.


Mots-clés:
Type d'article:
scientifique
Faculté:
Ingénierie et Architecture
Ecole:
HEI VS HES-SO Valais-Wallis - Haute Ecole d'Ingénierie
Institut:
Institut Systèmes industriels
Classification:
Ingénierie
Date:
2018
Pagination:
22 p.
Titre du document hôte:
Frontiers in built environment
Numérotation (vol. no.):
2018, 3, 76
DOI:
Le document apparaît dans:



 Notice créée le 2018-05-15, modifiée le 2018-05-22


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