Evaluation of weather-productivity models of construction labour for tropics

IF 1.9 Q3 ENGINEERING, CIVIL
Anas Al-Refaie, A. Alashwal, Zulkiflee Abdul-Samad, H. Salleh, A. Elshafie
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Abstract

PurposeWeather is one of the main factors affecting labour productivity. Existing weather-productivity models focussed on hot and cold climates paying less attention to the tropics. Many tropical countries are expected to be the most areas affected by accelerated climate change and global warming, which may have a severe impact on labour health and productivity. The purpose of this paper is to assess whether the existing models can be used to predict labour productivity based on weather conditions in the tropics.Design/methodology/approachFive models are identified from the literature for evaluation. Using real labour productivity data of a high-rise building project in Malaysia, the actual productivity rate was compared with predicted productivity rates generated using the five models. The predicted productivity rates were generated using weather variables collected from an adjusting weather station to the project.FindingsCompared with other models evaluated in this paper, the United States Army Corps of Engineers (USACE) was found to be the best model to predict productivity based on the case study data. However, the result shows only a 57% accuracy level of the USACE model indicating the need to develop a new model for the tropics for more accurate prediction.Originality/valueThe result of this study is perhaps the first to apply meteorological variables to predict productivity rates and validate them using actual productivity data in the tropics. This study is the first step to developing a more accurate productivity model, which will be useful for project planning and more accurate productivity rate estimation.
热带地区建筑劳动天气生产力模型的评价
天气是影响劳动生产率的主要因素之一。现有的气候生产力模型侧重于冷热气候,对热带地区的关注较少。预计许多热带国家将成为受气候变化加速和全球变暖影响最严重的地区,这可能对劳动健康和生产力产生严重影响。本文的目的是评估现有模型是否可以用于预测基于热带天气条件的劳动生产率。设计/方法论/方法从文献中确定了五个模型进行评估。利用马来西亚高层建筑项目的实际劳动生产率数据,将实际生产率与使用五个模型生成的预测生产率进行比较。预测的生产率是使用从项目调整气象站收集的天气变量生成的。结果:与本文评估的其他模型相比,美国陆军工程兵团(USACE)模型是基于案例研究数据预测生产力的最佳模型。然而,结果显示USACE模型的准确率只有57%,这表明需要开发一种新的热带模式以进行更准确的预测。这项研究的结果可能是第一个应用气象变量来预测生产力,并使用热带地区的实际生产力数据来验证它们。本研究是开发更准确的生产率模型的第一步,该模型将有助于项目规划和更准确的生产率估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
9.10%
发文量
41
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