Decision making behaviors in planning green buildings

Nang-Fei Pan, Ren Jye Dzeng, Ming Der Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A green building is an outcome of a design philosophy which focuses on increasing the efficiency of resource use. This paper presents a conceptual model in simulating the risk behaviors of decision makers in influencing the decision making of selecting green building designs by using 3 difference processes including benefit-cost analysis, multi-criteria decision-making, and Nash equilibrium game. The proposed approach allows the project owner and the consultant to assess the green building cost and effectiveness of performance for different design alternatives during the early design stage. A two-person nonzero sum game is considered in this paper to model the interactions between both players with respect their different utilities and different risk behaviors. The results of the case study show the consultant plays an important role in influencing the developer's choice of selecting a desirable green building design alternative.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, CDCIEM 2011
Pages1710-1713
Number of pages4
DOIs
Publication statusPublished - 2011 May 16
Event2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, CDCIEM 2011 - Changsha, Hunan, China
Duration: 2011 Feb 192011 Feb 20

Publication series

NameProceedings - International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, CDCIEM 2011

Other

Other2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, CDCIEM 2011
CountryChina
CityChangsha, Hunan
Period11-02-1911-02-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Environmental Engineering

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