Influence of occupational heat stress on labour productivity - a case study from Chennai, India

Influence of occupational heat stress on labour productivity - a case study from Chennai, India
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DOI:
10.1108/ijppm-08-2014-0121
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发表时间:
2016-01-01
影响因子:
3.1
通讯作者:
Paramesh, R.
Paramesh, R.
中科院分区:
其他
文献类型:
--
作者:
Chinnadurai, Jeremiah;Venugopal, Vidhya;Paramesh, R.

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目的-由于气候变化导致的温度升高可能会增加体力劳动和户外工作的职业的热应激,这可能会对健康和生产力产生不利影响。本文的目的是利用预测平均投票(PMV)指数来估计热应力影响下建筑工作的生产率。设计/方法/方法-实地研究于2014年5月进行,当时是金奈的夏季。对施工中从事不同工种的工人进行连续心率和湿球温度测量。使用ISO 8996方法计算代谢率和工人心率的工作量,使用Malchaire基于ISO 7730方法开发的工具计算PMV值。直接观察和个人访谈进行了证实生产力估计。研究结果-研究结果显示,在户外工作的工人,在28摄氏度的高温下工作,会对生产力产生不利影响(损失18- 35%的生产力),而从事轻微室内工作的工人则不会受到热应激的影响,从而导致生产力损失。使用PMV指数的生产率估计被发现对三种类型的建筑工程具有统计显著性(Pearson相关系数值为- 0.78),并且与工人的观察和自我报告的生产率也有很好的相关性。原创性/价值-本文中使用的方法提供了对生产力的科学可靠估计,这可能有利于行业在炎热的天气中设定现实的项目完成目标,并实施干预措施和政策,以保护工人的健康。制定适应性战略和实施控制措施是在气候变化面前保护工人健康和经济损失的当务之急。
Purpose - Raise in temperatures due to climate change is likely to increase the heat stress in occupations that are physically exerting and performed outdoors which might potentially have adverse health and productivity consequences. The purpose of this paper is to estimate the productivities in construction work under the influence of heat stress using the predicted mean vote (PMV) index.Design/methodology/approach - Field studies were conducted during May 2014 which is summer time in Chennai. Continuous heart rate of workers and wet bulb globe temperature measurements are conducted for workers engaged in different jobs in construction. Metabolic rates and the workload of the workers from heart rate were calculated using the ISO method 8996 and the PMV values are calculated using the tool developed by Malchaire based on the method ISO 7730. Direct observations and personal interviews were conducted to substantiate the productivity estimations.Findings - The results showed that workers working outdoors with moderate and heavy workload exceeded the threshold limit value of 28 degrees C and had adverse productivity impacts (18-35 per cent productivity loss), whereas the workers engaged in light indoor work was not affected by heat stress and consequent productivity losses. The productivity estimations using the PMV index is found to be statistically significant for three types of construction works (Pearson correlation coefficient value of - 0.78) and also correlated well with the observations and self-reported productivities of the workers.Originality/value - The method used in this paper provides a scientific and reliable estimation of the productivities which may benefit the industry to set realistic project completion goals in hot weather and also implement interventions and policies to protect workers' health. Developing adaptive strategies and implementing control measures are the need of the hour to protect worker's health and economic losses in the face of climate change.