Overview of Environmental Management Practice for Construction in Malaysia

Chang, Teng-Wen; Kumar, Dilip

doi:10.53623/csue.v1i1.33

Cited by 8 publications

(10 citation statements)

References 11 publications

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“…In a bid to effectively improve the company's operation cost management under an uncertain environment, Liang et al [20] combined prediction technologies and fuzzy theory to build a fuzzy estimation model, which can quickly and accurately identify the reasonable engineering cost and develop the corresponding operation procedures. The construction quality and the environmental pollution prevention cost constitute a pair of autocorrelation models involving in a mutual game and using the correlated equilibrium game for cost analysis and engineering price control of environmental pollution prevention is of vital importance to the promotion of environmental protection [21]. This study refers to the radial neural network prediction model of the construction quality-cost relationship established by Sun, further divides the prediction accuracy into four levels, and combines the fuzzy estimation model to establish a comprehensive dust control cost prediction model.…”

Section: Literature Review Of Construction Dust Pollution Treatment Costmentioning

confidence: 99%

Prediction of Dust Abatement Costs in Construction Demolition Projects

Liu

Chen

et al. 2022

Sustainability

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Dust pollution arising out of building demolition has serious health implications on workers, as well as the neighboring communities. Existing research has shown that regulatory and engineering control methods are the most popular for dust pollution control on demolition sites. Though engineering control methods are effective in suppressing dust pollution, they have enormous cost implications for demolition companies. Therefore, accurate prediction of dust treatment costs is an important element of the demolition planning process. However, very little information is available in the existing research about treatment costs. In addition, there has not been any attempt to develop a model which can accurately predict the cost of dust treatment during building demolition. To overcome this knowledge gap, a grey prediction model is built according to the information obtained from twenty previous demolition projects. The historical trend of demolition project cost is combined to establish the prediction model based on GM (1, 1), which can be used to obtain the dust treatment cost of a project with very high accuracy. To further improve the prediction accuracy, this paper also builds a Single Function Residual Identifiability (SFRI) model. The relative error between the actual and predicted dust treatment costs from 2013 to 2021 ranges from 0.003% to 0.077%. Through detailed assessment of various treatment measures using a case study, it was found that the results obtained by the prediction model are very close to the actual costs incurred, which verifies the accuracy of the proposed model.

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Section: Literature Review Of Construction Dust Pollution Treatment Costmentioning

confidence: 99%

Prediction of Dust Abatement Costs in Construction Demolition Projects

Liu

Chen

et al. 2022

Sustainability

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“…Despite the wealth of existing literature on various facets of the Malaysian construction industry, several research gaps continue to persist (Chang and Kumar, 2021;Gara et al, 2022). These gaps underscore the significance of undertaking this study:…”

Section: Introductionmentioning

confidence: 99%

Analysing the Dynamics of Supply Construction Gross Domestic Products in Malaysia

Mohd Damit

2024

DBS Appl Res Theor.

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This research study serves two purposes. First, it seeks to examine the dynamics of Malaysia's supply construction sector and its Gross Domestic Product (GDP) from 2015 to 2023. Second, it aims to identify the key macroeconomic forces regulating this sector and their influence throughout the provided timeframe. In order to achieve these goals, the study applies a variety of research approaches, including correlation and regression analysis. The primary macroeconomic indicators examined are exchange rates, base lending rates, and inflation. The study's findings show that the Base Lending Rate (BLR) has a considerable effect on Malaysia's supply construction GDP. In contrast, exchange rates and inflation rates have modest or statistically negligible impacts. The study's regression model emphasizes the significant influence of BLR and demonstrates that it is the most powerful predictor among the investigated macroeconomic factors. The importance of this research rests in its capacity to clarify the complex link between macroeconomic data and Malaysia's supply construction sector. It emphasizes BLR's crucial role in influencing the performance of this sector and, as a result, its impact on the whole economy. Furthermore, the study provides useful insights for policymakers, industry stakeholders, and future research endeavours, enabling informed economic decision-making and strategic planning in the construction sector.

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“…According to a recent study, the construction sector is responsible for air pollution, drinking water pollution, climate change, and landfill waste [4]. When contaminants from building sites penetrate into the groundwater, the supply of human drinking water becomes polluted, making it far more difficult to clean than surface water [8]. The construction sector is one of the most polluting industries, generating between 30% and 40% of the worldwide environmental burden in terms of raw materials, direct and indirect energy consumption, waste, and carbon dioxide emissions [9].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Impacts of the Construction Industry on the Environment: The Case of Western Oromia National Regional State

Sesaba

2024

JCCEE

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Throughout the process of its development, construction operations have effects on the environment. These affects happen from the beginning of work on site through the development period, the operational period, and the ultimate devastation when a building comes to the conclusion of its existence. Indeed, in spite of the fact that the development retro is comparatively shorter in comparison to the other stages of building's life, it has assorted critical influences on the environment. This essay explores the main impacts of construction activities on the environment in waster Oromia, a national regional state. From the literature, forty-four negative impacts of construction activities on the environment have been identified. A crosssectional survey was conducted after these impacts were further divided into ten main groups. Respondents' opinions were obtained through interviews and questionnaires. Questionnaires were distributed to one hundred professional respondents, who included 52 structural engineers, 29 quantity surveyors, and 14 architects. The respondents were asked to identify the greatest environmental impacts. The environmental impacts identified were evaluated and ranked by the relative impact index method. According to the results of the study, the respondents agreed that resource consumption groups are the highest ranked among the top ten groups impact of construction activities on the environment in the western Oromia national regional state. The paper makes recommendations for stakeholders in the construction sector to adapt regulations or standards to the construction environment in western Oromia national regional state and ensure their correct and efficient implementation.

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Overview of Environmental Management Practice for Construction in Malaysia

Cited by 8 publications

References 11 publications

Prediction of Dust Abatement Costs in Construction Demolition Projects

Prediction of Dust Abatement Costs in Construction Demolition Projects

Analysing the Dynamics of Supply Construction Gross Domestic Products in Malaysia

Investigation of the Impacts of the Construction Industry on the Environment: The Case of Western Oromia National Regional State

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