DEVELOPMENT OF GREEN CONSTRUCTION ASSESSMENT MODEL FOR BUILDING PROJECT

Author(s):  
Biemo W. Soemardi ◽  
Wulfram Ervianto

The construction sector as one of the parties using natural resources in the form of manufacturing or natural material needs to evaluate the activity of the construction process. Indonesia as a developing country requires various types of infrastructure, one of which is building construction. Various studies show that the impact of the construction process produces a large number of wastes and causes a decrease in the number of non-renewable materials. One of approaches to organize those impacts is by applying the principle of green construction. In Indonesia, this principle has not been clearly defined the meaning and the size that will be used. The purpose of this research is to develop green construction assessment model for building construction in Indonesia to improve the performance of contractor in the construction process. The scoring model is developed hierarchically composed of aspect, factor, and green construction indicator using additive model. The test model was carried out in three different project characteristics, reflecting the combination of planned green construction and green contractors. The result of green construction assessment model is able to represent the fact that occurred in the construction process.

2021 ◽  
Vol 39 (4) ◽  
pp. 1029-1034
Author(s):  
A. Nazif ◽  
A.K. Mustapha ◽  
F. Sani

Estimating of cost for building construction projects with minimum error at the conceptual stage of project development is quite  essential for planning. This study seeks to evaluate factors responsible for cost escalation of building construction projects.  Questionnaires were administered to examine and assess these factors. Subsequently, the mean score value of each factor was determined. In addition, Correlation and Linear regression analyses were used to establish the relationship between these factors. Factors responsible for cost escalation in projects were examined as well as the impact of those factors, and occurrence of those factors on project cost. The result of the analysis showed that, the most agreed factors responsible for project cost escalation were; inadequate supervision, irregular payment, and design error, having high mean values of 4.25, 4.20, and 4.15, respectively. Also, correlation analysis result established that the factors responsible for cost escalation and the impact of cost escalation had significant R and R2 of 0.81 and 0.70 respectively. Addressing these factors would go a long way in reducing the escalation of building project cost. Never the less, an effective cost management strategy is absolutely necessary to safeguard and sustain the construction  industry. Keywords: cost escalation, building project, construction, regression analysis


2021 ◽  
Vol 26 ◽  
pp. 441-457
Author(s):  
Christian Schranz ◽  
Harald Urban ◽  
Alexander Gerger

The digital transformation in the construction industry, which is also referred to as Construction 4.0, is gaining impact in recent years. BIM as the central point for model-based planning and communication is at the centre of this development. This paves the way for the implementation of further technologies, such as augmented reality (AR) or artificial intelligence (AI) in the construction process. However, the submission process currently receives little attention in the BIM project cycle, even though it has a significant impact on a building project. There is a huge potential for the application of BIM and AR in the building submission process. BIM allows partly automatic compliance checks to be performed. The BIM model and the results of these checks can be used as basis for the AR model. This paper investigates an application for AR in a BIM submission process. Here we show that especially the plan check process and hearings in the approval process can be improved and sped up by combining BIM and the visualization technology of AR. In this process, AR can support the building authority in checking the compliance with building regulations. Additionally, non-experts involved often have problems grasping the planned building project just based on the technical 2D plans. In this case, AR helps them to visualise the impact of the planned project and allows for better judgement. Use-cases are presented, showing strategies to improve the plan check process and assist the building authority as well as the persons involved, for both experts as well as non-experts. Finally, the requirements, technical implementations, and effects of an AR application for the plan check process are described. An AR-supported plan checking process can vastly improve the presentation of technical content. This leads to better understanding and more transparency for non-experts. Because AR is relatively easy to use, it might become ubiquitous not only to experts, but also to the general public.


2019 ◽  
Vol 26 (3) ◽  
pp. 136-143 ◽  
Author(s):  
Zhiqian ZHANG ◽  
Wei PAN

Modular integrated construction of high-rise buildings has shown its potential in accelerating the speed of construction, improving safety, safeguarding quality and enhancing productivity. However, due to the disruptive change to the construction process, challenges are identified to effectively plan and handle multiple lifts for hoisting heavy modules. Research on lift planning includes the development of simulation tools. However, the previous tools provided either static simulations or pre-designed animations that did not address the interactions between planners and the tools. Virtual reality (VR) offers an opportunity to build an interactive and navigable 3D environment. This paper aims to develop a userfriendly VR-supported tool for achieving effective lift planning for constructing high-rise modular buildings. First, the module lifting process and tower crane operations were analysed. Second, a VR demonstration was developed using a real-life modular building project. Third, the demonstration was used during interviews with the project team to verify the effectiveness of the developed tool. Results suggest that the tool can help optimise the site layout and lift logistics through the provided functions of collision detection and construction simulation. The findings suggest that VR-supported lift planning will contribute to ensure site safety and enhance the productivity of modular high-rise building construction.


2020 ◽  
Vol 63 (2) ◽  
pp. 123-143
Author(s):  
Elena I. Yaroslavtseva

The article examines the impact of digitalization on human life and intellectual experience. The development of computer technology demands an understanding of new aspects of human development and requires a capability to overcome not only external conditions but also ourselves. Entering a new level of development cannot imply a complete rejection of previous dispositions, but should be accompanied by reflection on personal experience and by the quest for new forms of interaction in society and with nature. Communicative and cognitive activity of a person has an ontological basis and relies on processes that actually evolve in nature. Therefore, the creation of new objects is always associated with the properties of natural material and gives rise to new points of support in the development of man. The more audacious his projects, the more important it is to preserve this connection to nature. It is always the human being who turns out to be the initiator who knows how to solve problems. The conformity of complex technical systems to nature is not only a goal but also a value of meaningful construction of development perspectives. The key to the nature orientation of the modern digital world is the human being himself, who keeps all the secrets of the culture of his natural development. Therefore, the proposed by the Russian philosopher V.S. Stepin post-non-classical approach, based on the principle of “human-sizedness,” is an important contribution to contemporary research because it draws attention to the “human – machine” communication, to the relationship between a person and technological systems he created. The article concludes that during digital transformation, a cultural conflict arises: in an effort to solve the problems of the future, a person equips his life with devices that are designed to support him, to expand his functionality, but at the same time, the boundaries of humanity become dissolved and the forms of human activity undergo simplification. Transhumanism engages society in the fight against fears of vulnerability and memory loss and ignores the flexibility and sustainability of natural foundation.


Author(s):  
M. von der Thannen ◽  
S. Hoerbinger ◽  
C. Muellebner ◽  
H. Biber ◽  
H. P. Rauch

AbstractRecently, applications of soil and water bioengineering constructions using living plants and supplementary materials have become increasingly popular. Besides technical effects, soil and water bioengineering has the advantage of additionally taking into consideration ecological values and the values of landscape aesthetics. When implementing soil and water bioengineering structures, suitable plants must be selected, and the structures must be given a dimension taking into account potential impact loads. A consideration of energy flows and the potential negative impact of construction in terms of energy and greenhouse gas balance has been neglected until now. The current study closes this gap of knowledge by introducing a method for detecting the possible negative effects of installing soil and water bioengineering measures. For this purpose, an environmental life cycle assessment model has been applied. The impact categories global warming potential and cumulative energy demand are used in this paper to describe the type of impacts which a bioengineering construction site causes. Additionally, the water bioengineering measure is contrasted with a conventional civil engineering structure. The results determine that the bioengineering alternative performs slightly better, in terms of energy demand and global warming potential, than the conventional measure. The most relevant factor is shown to be the impact of the running machines at the water bioengineering construction site. Finally, an integral ecological assessment model for applications of soil and water bioengineering structures should point out the potential negative effects caused during installation and, furthermore, integrate the assessment of potential positive effects due to the development of living plants in the use stage of the structures.


Encyclopedia ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 472-481
Author(s):  
Nasim Aghili ◽  
Mehdi Amirkhani

Green buildings refer to buildings that decrease adverse environmental effects and maintain natural resources. They can diminish energy consumption, greenhouse gas emissions, the usage of non-renewable materials, water consumption, and waste generation while improving occupants’ health and well-being. As such, several rating tools and benchmarks have been developed worldwide to assess green building performance (GBP), including the Building Research Establishment Environmental Assessment Method (BREEAM) in the United Kingdom, German Sustainable Building Council (DGNB), Leadership in Energy and Environmental Design (LEED) in the United States and Canada, Comprehensive Assessment System for Built Environment Efficiency (CASBEE) in Japan, Green Star in Australia, Green Mark in Singapore, and Green Building Index in Malaysia. Energy management (EM) during building operation could also improve GBP. One of the best approaches to evaluating the impact of EM on GBP is by using structural equation modelling (SEM). SEM is a commanding statistical method to model testing. One of the most used SEM variance-based approaches is partial least squares (PLS), which can be implemented in the SmartPLS application. PLS-SEM uses path coefficients to determine the strength and significance of the hypothesised relationships between the latent constructs.


2021 ◽  
Vol 13 (10) ◽  
pp. 5598
Author(s):  
Stasys Mizaras ◽  
Diana Lukmine

Effective formation and implementation of forest policy can only be achieved with orientation to the most important goal—increasing society’s welfare. The global problem is, at present, that the impact of forests on society welfare indexes have not been identified. The aim of the study is to design an assessment model and assess the impact of Lithuanian forests on the society welfare index. The impact of forests was determined by multiplying the country’s welfare of society index by the forest contribution coefficient. In this study, to assess the index of the welfare of Lithuanian society, a five-dimensional model with 16 indicators was applied. The study is based on the Eurostat database and on Lithuanian forestry statistics. The Lithuanian welfare of society index calculated according to the model was 51.4% and the contribution of forests in this index was 3.9%. It represented 7.6% of the index of the welfare of society. Forests have the greatest impact in the environmental dimension, according to the assessment results.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sairish Ashraf ◽  
Shayaq Ul Abeer Rasool ◽  
Mudasar Nabi ◽  
Mohd Ashraf Ganie ◽  
Shariq R. Masoodi ◽  
...  

AbstractPolycystic ovary syndrome (PCOS) is the most common reproductive endocrine disorder in pre-menopausal women having complex pathophysiology. Several candidate genes have been shown to have association with PCOS. CYP19 gene encodes a key steroidogenic enzyme involved in conversion of androgens into estrogens. Previous studies have reported contradictory results with regard to association of SNP rs2414096 in CYP19 gene with PCOS and hyperandrogenism in different ethnic populations. Present study was aimed to investigate the impact of SNP rs2414096 polymorphism of CYP19 gene on susceptibility of PCOS and hyperandrogenism in Kashmiri women. Further we also studied the genotypic-phenotypic association for various clinical and biochemical parameters of this polymorphism. Case control study. 394 PCOS cases diagnosed on the basis of Rotterdam criteria and age matched 306 healthy women. We found a significant differences in genotypic frequency (χ2 = 18.91, p < 0.05) as well as allele frequency (OR 0.63, CI 0.51–0.78, χ2 = 17.66, p < 0.05) between PCOS women and controls. The genotype–phenotype correlation analysis showed a significant difference in FG score (p = 0.047) and alopecia (p = 0.045) between the three genotypes. Also, the androgen excess markers like DHEAS (p < 0.001), Androstenedione (p < 0.001), Testosterone (p < 0.001) and FAI (p = 0.005) were significantly elevated in GG genotype and showed a significant difference in additive model in PCOS women. rs2414096 polymorphism of CYP19 gene is associated with the risk of PCOS as well as with clinical and biochemical markers of hyperandrogenism, hence suggesting its role in clinical manifestations of PCOS in Kashmiri women.


2021 ◽  
pp. 94-103
Author(s):  
Jiangtao Du ◽  
Steve Sharples

The deposition of air pollutants on glazing can significantly affect the daylight transmittance of building fenestration systems in urban areas. This study presents a simulation analysis of the impact of air pollution and glazing visual transmittance on indoor daylight availability in an open-plan office in London. First, the direct links between glazing visual transmittance and daylighting conditions were developed and assessed. Second, several simple algorithms were established to estimate the loss of daylight availability due to the pollutant deposition at the external surface of vertical glazing. Finally, some conclusions and design strategies to support facade planning at the early design stage of an urban building project were developed.


2021 ◽  
pp. 003232922110507
Author(s):  
Gillian Slee ◽  
Matthew Desmond

In recent years, housing costs have outpaced incomes in the United States, resulting in millions of eviction filings each year. Yet no study has examined the link between eviction and voting. Drawing on a novel data set that combines tens of millions of eviction and voting records, this article finds that residential eviction rates negatively impacted voter turnout during the 2016 presidential election. Results from a generalized additive model show eviction’s effect on voter turnout to be strongest in neighborhoods with relatively low rates of displacement. To address endogeneity bias and estimate the causal effect of eviction on voting, the analysis treats commercial evictions as an instrument for residential evictions, finding that increases in neighborhood eviction rates led to substantial declines in voter turnout. This study demonstrates that the impact of eviction reverberates far beyond housing loss, affecting democratic participation.


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