住宅智慧綠建築模糊綜合評估指標體系之研究

Fuzzy Evaluation System for Intelligent Green Housing Building

何友鋒(Yu-Feng Ho) ； 吳詩賢(Shih-Hsien Wu) ； 王小璘(Hsiao-Lin Wang)

《健康與建築雜誌》 3卷1期 (2016/02) Pp. 1-14

https://doi.org/10.6299/JHA.2016.3.1.R1.01

摘要

背景：行政院於2010年提出「智慧綠建築推動方案」以綠建築發展的基礎與優勢，在維護環境永續發展與改善國民生活環境水準的前提下，進行智慧型創新技術、產品、系統服務之研發，建構「生產」、「生活」、「生態」三生一體的優質居住環境，藉以發展增加新興產業之競爭力。目的：透過文獻回顧及分析，探討住宅智慧綠建築影響評估指標，建構住宅智慧綠建築評估指標體系及準則，以彰化市光世代-柯芬園社區為例，進行實證研究，檢測評估指標的可行性及合理性，供設計者參考。方法：本研究採用了系統工程、模糊德爾菲法以建立評估因子集、蒐集群體意見及應用模糊德爾菲法篩選評估因子、模糊層級分析法及相似度整合法等方法。結果：本研究篩選得29個評估指標，其中十大指標依序為(1)防火系統；(2)建築結構安全；(3)防盜、破壞系統；(4)防震抗風系統；(5)室內環境風速或氣流；(6)室內環境溫度；(7)逃生避難動線；(8)住宅報警裝置；(9)監視攝影系統裝置；(10)建築避難設施。結論/實務應用：應用模糊理論來解決專家間模糊評價之問題，雖較具客觀性、合理性，但整體評估指標之篩選及權重之確立是由專家間之共識度而建立，因此，需依研究目的選擇適當之專家群體，提高整體研究之信度與效度。建議利用專家會議之研究方法來搜集歸納專家對於評估指標意見，使整體評估架構之涵蓋面更為精確。

關鍵字

模糊理論 ； 住宅智慧綠建築 ； 評估指標體系

並列摘要

Background: Aiming to maintain the sustainable development of the environment and to improve the standards of the national living environment, the Executive Yuan proposed in 2010 the ＂Intelligent Green Building Promotion Plan＂ to research and develop intelligent innovative technologies, products, and system services based on the foundation and advantages of building development to construct a quality living environment integrating ＂production＂, ＂life＂ and ＂eco-friendliness＂ and thereby develop and improve the competitiveness of emerging industries. Purposes: Through a literature review and analysis, this study analyzed the indicators for evaluating the impact of intelligent green residential buildings and developed the evaluation indicator system and criteria for intelligent green residential buildings. This study conducted an empirical study on the Optical Covent Garden community in Changhua City as the subject to examine the feasibility and reasonability of these indicators for the reference of designers. Methods: This study built the evaluation factor set and collected group opinion with system engineering and fuzzy Delphi methods and screened evaluation factors with fuzzy Delphi, fuzzy analytic hierarchy process and the similarity aggregation method. Results: Among the 29 evaluation indicators obtained, the top ten indicators in order include: (1) fire alarm system (2) building structure safety (3) anti-theft and damage system (4) anti-seismic and wind-force resisting system (5) indoor ambient wind speed or airflow (6) indoor ambient temperature (7) escape and evacuation circulation (8) resident alarm system (9) CCTV system and (10) building evacuation facility. Conclusions/Implications for Practice: Although it is more objective and logical to solve the fuzzy evaluation problems among experts with the fuzzy theory, as the screening and weight of indicators were determined based on expert reviews, it is still necessary to select the appropriate expert group based on the research aim to enhance the reliability and validity of this study. This study thus recommends gathering and concluding expert opinions about evaluation indicators through expert meetings to make the coverage of the overall evaluation framework more accurate.

並列關鍵字

Fuzzy theory ； Intelligent green housing building ； Evaluation system