Ali Muhammad, Zubair Ayesha, Israr Jahanzaib, Abbass Wasim, Masoud Zubair, Mohamed Abdullah
Department of Civil Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan.
Research Center, Future University in Egypt, New Cairo, 11835, Egypt.
Heliyon. 2024 Nov 29;11(1):e40825. doi: 10.1016/j.heliyon.2024.e40825. eCollection 2025 Jan 15.
Climate change impacts the demand of the construction industry to reduce its carbon footprint while increasing the resilience of the buildings. This twofold need emphasises better understanding and cost prediction of green resilient buildings based on their 'resilience' and 'sustainability', which is very limited or based on obsolete perceptions and stereotypes. This study presents a novel index to predict the cost of converting a conventional building to a green-resilient building. In this study; twenty factors based on comprehensive market research have been analysed both quantitatively and qualitatively. An economic impact model has been developed for the cost prediction of green resilient buildings through a novel Green Resilient Building Index, based on sustainability and resilience factors, and the cost of conventional buildings. It has been observed that on-ground construction cost and predicted values fall within 10 % of the 1:1 line validating the precision and confidence level of the research data. Single-factor analysis of variance showed the acceptable precision of the results at a confidence level of 95 %. Nevertheless, this study envisions supporting the professionals and policymakers to develop a sustainable construction industry.
气候变化影响着建筑业减少碳足迹的需求，同时也增加了建筑物的韧性。这种双重需求强调了基于绿色韧性建筑的“韧性”和“可持续性”，对其进行更好的理解和成本预测，而目前这方面的研究非常有限，或者基于过时的观念和刻板印象。本研究提出了一个新颖的指标，用于预测将传统建筑转变为绿色韧性建筑的成本。在本研究中，基于全面的市场调研分析了20个因素，包括定量和定性分析。通过一个基于可持续性和韧性因素以及传统建筑成本的新颖的绿色韧性建筑指数，开发了一个经济影响模型，用于预测绿色韧性建筑的成本。研究发现，地面建设成本和预测值落在1:1线的10%以内，验证了研究数据的精度和置信水平。单因素方差分析表明，在95%的置信水平下，结果具有可接受的精度。尽管如此，本研究旨在支持专业人士和政策制定者发展可持续的建筑业。
