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با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.

نتیجه جستجو - Construction waste

تعداد مقالات یافته شده: 5
ردیف عنوان نوع
1 Is the private sector more efficient? Big data analytics of construction waste management sectoral efficiency
آیا بخش خصوصی کارآمدتر است؟ تجزیه و تحلیل داده های بزرگ از کارآیی بخش مدیریت زباله های ساختمانی-2020
Efficiency disparity between the public and private sectors is a non-trivial issue that concerns fundamental choices of socio-political-economic systems. Waste management academia and industry also wrestle with issues relating to the choice between public and private sectors. To examine the disparity exclusively caused by “sector”, in statistics language, one needs data that is sufficiently big to control many other confounders, e.g., sites, project types, and construction technologies. This paper attempts to ascertain the construction waste management (CWM) efficiency disparity between the public and private sectors by using big data in Hong Kong. The waste disposal records of 132 projects, including 70 public and 62 private projects, were extracted and analysed. By comparing the waste generation flows (WGFs) and accumulative WGFs, it is found that, by and large, there is no significant efficiency disparity in CWM between the two sectors. However, a closer investigation discovered that the private sector outperforms their public counterpart in demolition projects, while the latter performs better in foundation and new building projects. Although there are private projects with higher CWM performance, their divergence between the best and average projects are larger than public ones. Such findings thus reject casual remarks that the private sector is more efficient in CWM. The underlying reasons maybe the waste management index practice promoted in public projects while the private sector is often incentivized to perform better CWM to save waste disposal levies. Future research is recommended to delve into the causes of the efficiency disparity and introduce CWM interventions accordingly.
Keywords: Public-private disparity | Economic efficiency | Construction waste management | Big data | Hong Kong
مقاله انگلیسی
2 Is the private sector more efficient? Big data analytics of construction waste management sectoral efficiency
آیا بخش خصوصی کارآمدتر است؟ تجزیه و تحلیل داده های بزرگ از کارآیی بخش مدیریت زباله های ساختمانی-2020
Efficiency disparity between the public and private sectors is a non-trivial issue that concerns fundamental choices of socio-political-economic systems. Waste management academia and industry also wrestle with issues relating to the choice between public and private sectors. To examine the disparity exclusively caused by “sector”, in statistics language, one needs data that is sufficiently big to control many other confounders, e.g., sites, project types, and construction technologies. This paper attempts to ascertain the construction waste management (CWM) efficiency disparity between the public and private sectors by using big data in Hong Kong. The waste disposal records of 132 projects, including 70 public and 62 private projects, were extracted and analysed. By comparing the waste generation flows (WGFs) and accumulative WGFs, it is found that, by and large, there is no significant efficiency disparity in CWM between the two sectors. However, a closer investigation discovered that the private sector outperforms their public counterpart in demolition projects, while the latter performs better in foundation and new building projects. Although there are private projects with higher CWM performance, their divergence between the best and average projects are larger than public ones. Such findings thus reject casual remarks that the private sector is more efficient in CWM. The underlying reasons maybe the waste management index practice promoted in public projects while the private sector is often incentivized to perform better CWM to save waste disposal levies. Future research is recommended to delve into the causes of the efficiency disparity and introduce CWM interventions accordingly.
Keywords: Public-private disparity | Economic efficiency | Construction waste management | Big data | Hong Kong
مقاله انگلیسی
3 An anatomy of waste generation flows in construction projects using passive bigger data
آناتومی جریان تولید زباله در پروژه های ساختمانی با استفاده از داده های بزرگتر -2020
Understanding waste generation flow is vital to any evidence-based effort by policy-makers and practitioners to successfully manage construction project waste. Previous research has found that accumulative waste generation in construction projects follows an S-curve, but improving our understanding of waste generation requires its investigation at a higher level of granularity. Such efforts, however, are often constrained by lack of quality ‘‘bigger” data, i.e. data that is bigger than normal small data. This research aims to provide an anatomy of waste generation flow in building projects by making use of a large set of data on waste generation in 19 demolition, 59 foundation, and 54 new building projects undertaken in Hong Kong between 2011 and 2019. We know that waste is generated in far from a steady stream as it is always impacted by contingent factors. However, we do find that peaks of waste generation in foundation projects appear when project duration is at 50–85%, and in new building projects at 40–70% of total project time. Our research provides useful information for waste managers in developing their waste management plans, arranging waste hauling logistics, and benchmarking waste management performance.
Keywords: Construction waste management | Waste generation flow | Building projects | Bigger data
مقاله انگلیسی
4 Estimating construction waste generation in residential buildings: A fuzzy set theory approach in the Brazilian Amazon
تخمین تولید زباله ساخت و ساز در ساختمانهای مسکونی: یک رویکرد تئوری مجموعه فازی در آمازون برزیل-2020
The estimate of construction waste generation is the key decision-making information for policy-makers, construction managers, and the like to devise informed waste management strategies. However, estimating construction waste generated from projects is particularly onerous, as numerous factors related to design, site, and construction are largely in a fuzzy nature when the estimating job is conducted. Built upon previous studies, this paper seeks to develop a model that can be used to estimate construction waste generation based on fuzzy set theory. It follows a trilogy of methodology, including model development, sensitivity analysis, and model validation. A set of IF-THEN rules are developed based on two independent variables, built area and number of floors. A sensitive analysis was conducted to evaluate the influence of the independent variables on waste generation. The model is further calibrated and verified through a case study of 23 residential buildings constructed in the Brazilian Amazon. The model obtained an accuracy of 64.29% in the development phase and 66.67% in the validation phase, showing that the results are largely acceptable. By using this model, it is possible for a waste manager to draw up a baseline graph to indicate the volume of construction waste generation as his/her building project as it progresses. The research is also of novelty by using fuzzy set theory to deal with the fuzzy nature of waste generation in construction projects. Further studies are recommended to enhance the accuracy level of the model by engaging more factors and more quality data.
Keywords: Construction waste | Building | Waste quantification | Fuzzy set theory | Brazil
مقاله انگلیسی
5 Identifying and addressing latent causes of construction waste in infrastructure projects
شناسایی و پرداختن به علل نهفته زباله های ساختمانی در پروژه های زیرساختی-2020
Infrastructure projects often generate significant amounts of waste. However, research has focused so far mostly on the reactive treatment of waste, rather than its proactive prevention. Moreover, few previous studies have dealt with waste from infrastructure projects. This paper presents a method that can be used by project teams to identify both the causes of major types of waste in infrastructure projects, and the means to prevent its generation. The method is based on function modeling to support a detailed analysis of project activities that are critical in terms of their economic and environmental impact. The existing function modeling framework is expanded, to include a quantitative representation of material flows in the project’s supply chain. The proposed method was applied in a real project to verify its feasibility.
Keywords: Construction waste | Infrastructure projects | Project management | Functional modeling
مقاله انگلیسی
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