000002400 001__ 2400
000002400 005__ 20181220113753.0
000002400 0247_ $$2DOI$$a10.3389/fbuil.2017.00076
000002400 037__ $$aARTICLE
000002400 041__ $$aeng
000002400 245__ $$aThe optimum is not the goal :$$bcapturing the decision space for the planning of new neighborhoods
000002400 260__ $$c2018
000002400 269__ $$a2018-02
000002400 300__ $$a22 p.
000002400 506__ $$avisible
000002400 520__ $$9eng$$aThis 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.
000002400 546__ $$aEnglish
000002400 540__ $$acorrect
000002400 592__ $$aHEI-VS
000002400 592__ $$bInstitut Systèmes industriels
000002400 592__ $$cIngénierie et Architecture
000002400 65017 $$aIngénierie
000002400 6531_ $$9eng$$aurban planning
000002400 6531_ $$9eng$$adecision support
000002400 6531_ $$9eng$$amultiparametric mathematical programming
000002400 6531_ $$9eng$$amultiscale
000002400 6531_ $$9eng$$amultidomain,
000002400 6531_ $$9eng$$amultiactor
000002400 6531_ $$9eng$$askydome
000002400 6531_ $$9eng$$alandmark view
000002400 655__ $$ascientifique
000002400 700__ $$aSchüler, Nils$$uIndustrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Switzerland
000002400 700__ $$aCajot, Sébastien$$uIndustrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Sion, Switzerland ; European Institute for Energy Research, Karlsruhe, Germany
000002400 700__ $$aPeter, Markus$$uEuropean Institute for Energy Research, Karlsruhe, Germany
000002400 700__ $$aPage, Jessen$$uHES-SO Valais, Haute école d’ingénierie (HEI), HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; Industrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Sion, Switzerland
000002400 700__ $$aMaréchal, François$$uIndustrial Process and Energy Systems Engineering Group, École Polytechnique Fédérale de Lausanne, Switzerland
000002400 773__ $$g2018, 3, 76$$tFrontiers in built environment
000002400 909CO $$ooai:hesso.tind.io:2400$$pGLOBAL_SET
000002400 906__ $$aGREEN
000002400 950__ $$aI2
000002400 980__ $$ascientifique