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Dr. Saeed Reza Mohandes
Department of Building and Real Estate (BRE), Faculty of Construction and Environment (FCE), The Hong Kong Polytechnic University, Hong Kong, China

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0 Construction Safety
0 Infrastructure Management
0 Building energy efficiency
0 Facility Management
0 Artificial intelligence and machine learning in construction

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Journal article
Published: 13 January 2021 in Journal of Cleaner Production
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The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries, resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this, there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore, a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP, interval-valued Pythagorean fuzzy TOPSIS, and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project, the following contributions have been noted; (1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm, (2) involving the individual biases of the decision makers in the assessment stage, (3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way, (4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally, it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry, through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system, improving the well-being of the involved CWs.

ACS Style

Saeed Reza Mohandes; Xueqing Zhang. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project. Journal of Cleaner Production 2021, 291, 125934 .

AMA Style

Saeed Reza Mohandes, Xueqing Zhang. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project. Journal of Cleaner Production. 2021; 291 ():125934.

Chicago/Turabian Style

Saeed Reza Mohandes; Xueqing Zhang. 2021. "Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project." Journal of Cleaner Production 291, no. : 125934.

Journal article
Published: 13 November 2020 in International Journal of Environmental Research and Public Health
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Occupational Health and Safety (OHS)-related injuries are vexing problems for construction projects in developing countries, mostly due to poor managerial-, governmental-, and technical safety-related issues. Though some studies have been conducted on OHS-associated issues in developing countries, research on this topic remains scarce. A review of the literature shows that presenting a predictive assessment framework through machine learning techniques can add much to the field. As for Malaysia, despite the ongoing growth of the construction sector, there has not been any study focused on OHS assessment of workers involved in construction activities. To fill these gaps, an Ensemble Predictive Safety Risk Assessment Model (EPSRAM) is developed in this paper as an effective tool to assess the OHS risks related to workers on construction sites. The developed EPSRAM is based on the integration of neural networks with fuzzy inference systems. To show the effectiveness of the EPSRAM developed, it is applied to several Malaysian construction case projects. This paper contributes to the field in several ways, through: (1) identifying major potential safety risks, (2) determining crucial factors that affect the safety assessment for construction workers, (3) predicting the magnitude of identified safety risks accurately, and (4) predicting the evaluation strategies applicable to the identified risks. It is demonstrated how EPSRAM can provide safety professionals and inspectors concerned with well-being of workers with valuable information, leading to improving the working environment of construction crew members.

ACS Style

Haleh Sadeghi; Saeed Reza Mohandes; M. Reza Hosseini; Saeed Banihashemi; Amir Mahdiyar; Arham Abdullah. Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects. International Journal of Environmental Research and Public Health 2020, 17, 8395 .

AMA Style

Haleh Sadeghi, Saeed Reza Mohandes, M. Reza Hosseini, Saeed Banihashemi, Amir Mahdiyar, Arham Abdullah. Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects. International Journal of Environmental Research and Public Health. 2020; 17 (22):8395.

Chicago/Turabian Style

Haleh Sadeghi; Saeed Reza Mohandes; M. Reza Hosseini; Saeed Banihashemi; Amir Mahdiyar; Arham Abdullah. 2020. "Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects." International Journal of Environmental Research and Public Health 17, no. 22: 8395.

Journal article
Published: 22 October 2020 in Urban Forestry & Urban Greening
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Green roofs (GRs) have several private, environmental, and social benefits, though financial issues have been considered a major barrier to its widespread use. The lack of knowledge and information regarding the value and applicability of each such benefit has resulted in limited adoption of GRs in Malaysia. Hence, the aim of this research is to analyse the financial feasibility of GR installation, considering social and private perspectives (where the applicability of benefits varies across various scenarios). To do that, the applicable short- and long-term costs and benefits of GRs were identified through reviewing the literature. Then, the variables’ values were investigated and calculated using Monte Carlo simulation. GRs’ net present value (NPV) and discounted payback period (DPBP) were analysed in different private scenarios to derive its financial feasibility out in Kuala Lumpur. Additionally, projected social benefits were analysed to indicate the government’s financial benefit from GR adoption. The results showed that NPV for the private sector could be up to $1072.44 m2 and $735.11 m2, while it is most likely around $390.78 m2 and $258 m2 for intensive GR (IGR) and extensive GR (EGR), respectively. Most probably, the DPBP would be between one and nine years and one and six years for IGR and EGR, respectively. Additionally, considering the social benefits of GR, IGR has the potential to offer up to $314 m2; the amount is much lower for EGR at $55 m2. Moreover, it was found that energy saving is the most influential variable affecting NPV in private and social perspectives. Finally, it was concluded that GR installation could be financially feasible if all private benefits are applicable. Since GR has social financial benefits, the initial costs could be partially covered by the government as an incentive for GR installers.

ACS Style

Amir Mahdiyar; Sanaz Tabatabaee; Khairulzan Yahya; Saeed Reza Mohandes. A probabilistic financial feasibility study on green roof installation from the private and social perspectives. Urban Forestry & Urban Greening 2020, 58, 126893 .

AMA Style

Amir Mahdiyar, Sanaz Tabatabaee, Khairulzan Yahya, Saeed Reza Mohandes. A probabilistic financial feasibility study on green roof installation from the private and social perspectives. Urban Forestry & Urban Greening. 2020; 58 ():126893.

Chicago/Turabian Style

Amir Mahdiyar; Sanaz Tabatabaee; Khairulzan Yahya; Saeed Reza Mohandes. 2020. "A probabilistic financial feasibility study on green roof installation from the private and social perspectives." Urban Forestry & Urban Greening 58, no. : 126893.

Journal article
Published: 17 July 2020 in Journal of Cleaner Production
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Although quite a few studies have focused on Occupational Health and Safety (OHS)-related issues within the context of sustainable building construction projects, there has been dearth of a study developing a management framework to comprehensively identify, analyze, evaluate, and control the safety risks threatening the involved Green Building Construction Workers (GBCWs). The lack of such consideration leads not only to incurring additional costs for the stakeholders, but also overshadowing the impetus towards the adoption of sustainable developments within the construction industry. As such, using Hong Kong as a case study, a Holistic Z-numbers-based Risk Management Framework (HZRMF) is developed in the current study. The main contributions of the current research to the area of OHS linked to green building construction projects are as follows: (1) identifying all the critical safety risks associated with the relative green-oriented requirements through the proposed integration of Z-numbers with the Delphi technique, (2) calculating the final magnitudes of green-associated safety risks through a novel hybrid Z-numbers-based algorithm by considering the importance weights of risk parameters, (3) evaluating the analyzed safety risks using the proposed five-level strategy, (4) pinpointing the green-oriented requirements that are of high-criticality, and (5) providing a comprehensive list of treatment measures to control the evaluated green-associated safety risks. Ultimately, it was observed that the three most critical safety risks were associated with fall hazards. It is proven that the results and analyses produced in the study using the developed HZRMS could make massive inroads into improving the OHS of the involved GBCWs.

ACS Style

Xueqing Zhang; Saeed Reza Mohandes. Occupational Health and Safety in green building construction projects: A holistic Z-numbers-based risk management framework. Journal of Cleaner Production 2020, 275, 122788 .

AMA Style

Xueqing Zhang, Saeed Reza Mohandes. Occupational Health and Safety in green building construction projects: A holistic Z-numbers-based risk management framework. Journal of Cleaner Production. 2020; 275 ():122788.

Chicago/Turabian Style

Xueqing Zhang; Saeed Reza Mohandes. 2020. "Occupational Health and Safety in green building construction projects: A holistic Z-numbers-based risk management framework." Journal of Cleaner Production 275, no. : 122788.

Journal article
Published: 29 May 2020 in Journal of Cleaner Production
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Despite its environmental and financial benefits for public and private sectors, adoption of the green roof (GR) system comprises barriers that have inhibited its application in Malaysia. Studies on the barriers to GR installation have been conducted worldwide; however, they are scarce in Malaysia. Moreover, in the literature, conventional methods are used for prioritizing the barriers, while the barriers to GR adoption are not differentiated among its types. In view of this argument, this paper identifies and prioritizes the barriers to GR installation using Fuzzy Delphi Method (FDM) and Fuzzy Best-Worst Method (FBWM), respectively. Of 20 identified barriers, six (for intensive GR) and nine (for extensive GR) were rejected using FDM, while the selected barriers were prioritized using FBWM. The findings reveal that “high initial cost” and “lack of awareness and knowledge” barriers to IGR and EGR installation are the most significant, respectively; while “challenges of installation” and “structural damage” are the least significant for both types of GRs. A comparative analysis was conducted to show the outperformance of used methods while the validity of the results was checked through case studies. The clear message of the results addresses the amalgamation of legislative enforcements with financial incentives and emphasis on the improvement of knowledge and awareness, which will ultimately lead to effective and widespread implementation of GR systems. The study provides practical guidelines for the stakeholders at the forefront by enabling them to grapple with the most significant barriers to GR installation.

ACS Style

Amir Mahdiyar; Saeed Reza Mohandes; Serdar Durdyev; Sanaz Tabatabaee; Syuhaida Ismail. Barriers to green roof installation: An integrated fuzzy-based MCDM approach. Journal of Cleaner Production 2020, 269, 122365 .

AMA Style

Amir Mahdiyar, Saeed Reza Mohandes, Serdar Durdyev, Sanaz Tabatabaee, Syuhaida Ismail. Barriers to green roof installation: An integrated fuzzy-based MCDM approach. Journal of Cleaner Production. 2020; 269 ():122365.

Chicago/Turabian Style

Amir Mahdiyar; Saeed Reza Mohandes; Serdar Durdyev; Sanaz Tabatabaee; Syuhaida Ismail. 2020. "Barriers to green roof installation: An integrated fuzzy-based MCDM approach." Journal of Cleaner Production 269, no. : 122365.

Journal article
Published: 07 February 2020 in JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
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Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

ACS Style

Saeed Reza Mohandes; Haleh Sadeghi; Amir Mahdiyar; Serdar Durdyev; Audrius Banaitis; Khairulzan Yahya; Syuhaida Ismail. ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 2020, 26, 175 -188.

AMA Style

Saeed Reza Mohandes, Haleh Sadeghi, Amir Mahdiyar, Serdar Durdyev, Audrius Banaitis, Khairulzan Yahya, Syuhaida Ismail. ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT. 2020; 26 (2):175-188.

Chicago/Turabian Style

Saeed Reza Mohandes; Haleh Sadeghi; Amir Mahdiyar; Serdar Durdyev; Audrius Banaitis; Khairulzan Yahya; Syuhaida Ismail. 2020. "ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 2: 175-188.

Journal article
Published: 01 November 2019 in Journal of Cleaner Production
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ACS Style

Sanaz Tabatabaee; Amir Mahdiyar; Serdar Durdyev; Saeed Reza Mohandes; Syuhaida Ismail. An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. Journal of Cleaner Production 2019, 238, 1 .

AMA Style

Sanaz Tabatabaee, Amir Mahdiyar, Serdar Durdyev, Saeed Reza Mohandes, Syuhaida Ismail. An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach. Journal of Cleaner Production. 2019; 238 ():1.

Chicago/Turabian Style

Sanaz Tabatabaee; Amir Mahdiyar; Serdar Durdyev; Saeed Reza Mohandes; Syuhaida Ismail. 2019. "An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision making approach." Journal of Cleaner Production 238, no. : 1.

Journal article
Published: 01 October 2019 in Sustainability
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New Zealand faces a housing shortage with construction struggling to meet demand. Structurally insulated panels (SIPs) have been demonstrated internationally as a method of construction which could reduce construction time frames, improve the standard insulation in housing, as well as reduce the amount of waste generated on construction sites. However, anecdotal evidence shows that the SIPs’ adoption is lacking, which is, perhaps, attributed to its industry-wide acceptance level. Thus, in this study, the construction stakeholders, such as architects/designers, builders, territorial authorities and homeowners were targeted to shed light on current status of SIPs use, benefits offered and any barriers inhibiting its industry-wide implementation. This was done through a survey, which was designed to understand the construction stakeholders’ experience levels regarding SIPs use in New Zealand as well as their opinions about any problems associated with the SIPs adoption. Although the stakeholders were happy with the thermal performance offered by SIPs, the results indicate that lack of familiarity and understanding are one of the main barriers to the widespread use of SIPs in New Zealand. Moreover, proper training and clear design information are reported to be crucial to make the building and consenting processes efficient, which will ultimately improve the cost-effectiveness. Despite the barriers (to SIPs adoption) documented by stakeholders, the common belief is that SIPs offer wide-range of benefits to improve performance of the built environment; hence, the stakeholders expressed their willingness to design/build/recommend SIP homes. It is hoped that the findings of this study will guide the industry practitioners in investing their efforts in wider adoption of SIPs in New Zealand.

ACS Style

Jeremy Harris; Serdar Durdyev; Serik Tokbolat; Syuhaida Ismail; Nurmurat Kandymov; Saeed Reza Mohandes. Understanding Construction Stakeholders’ Experience and Attitudes toward Use of the Structurally Insulated Panels (SIPs) in New Zealand. Sustainability 2019, 11, 5458 .

AMA Style

Jeremy Harris, Serdar Durdyev, Serik Tokbolat, Syuhaida Ismail, Nurmurat Kandymov, Saeed Reza Mohandes. Understanding Construction Stakeholders’ Experience and Attitudes toward Use of the Structurally Insulated Panels (SIPs) in New Zealand. Sustainability. 2019; 11 (19):5458.

Chicago/Turabian Style

Jeremy Harris; Serdar Durdyev; Serik Tokbolat; Syuhaida Ismail; Nurmurat Kandymov; Saeed Reza Mohandes. 2019. "Understanding Construction Stakeholders’ Experience and Attitudes toward Use of the Structurally Insulated Panels (SIPs) in New Zealand." Sustainability 11, no. 19: 5458.

Review
Published: 25 February 2019 in Neurocomputing
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This paper presents a comprehensive review of the significant studies exploited Artificial Neural Networks (ANNs) in BEA (Building Energy Analysis). To achieve a full coverage of the relevant studies to the scope of the research, a three-decade time span of the publishing date of the existing studies was taken into account. The review focuses on the studies utilized ANN to analyze the energy-related issues associated with buildings in major areas, including modeling of water heating and cooling systems, heating and cooling loads prediction, modeling heating ventilation air conditioning systems, indoor air temperature prediction, and building energy consumption prediction. Moreover, the findings of the abundant reviewed studies along with the potential future research to be carried out are discussed elaborately. Regarding the comprehensive review conducted, it is found out that the majority of studies focused on building energy consumption and indoor air temperature prediction. Additionally, it is observed that there has been a growing interest in the application of newly-developed ANNs to BEA areas, such as general regression neural network and recurrent neural network, due to their abilities in improving the modeling and prediction of buildings energy analysis. It is believed that this thorough review paper is useful for the researchers and scientific engineers working on the application of AI-based techniques to the building-energy-related areas to find out the relevant references and current state of the field.

ACS Style

Saeed Reza Mohandes; Xueqing Zhang; Amir Mahdiyar. A comprehensive review on the application of artificial neural networks in building energy analysis. Neurocomputing 2019, 340, 55 -75.

AMA Style

Saeed Reza Mohandes, Xueqing Zhang, Amir Mahdiyar. A comprehensive review on the application of artificial neural networks in building energy analysis. Neurocomputing. 2019; 340 ():55-75.

Chicago/Turabian Style

Saeed Reza Mohandes; Xueqing Zhang; Amir Mahdiyar. 2019. "A comprehensive review on the application of artificial neural networks in building energy analysis." Neurocomputing 340, no. : 55-75.

Journal article
Published: 23 February 2019 in Safety Science
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Although some studies have focused on assessing the related risks to the workers involved in the construction activities, the developed models hitherto are tangled with some shortfalls, including unstructured ways of risks identification, low consistency and accuracy of the used analysis methods, and paucity of prudent evaluation strategies. These shortcomings lead to taking imprudent and inappropriate mitigative actions. As such, a Comprehensive Hybrid Fuzzy-based Occupational Risk Assessment Model (CHFORAM) is developed in this paper to systematically identify, analyze, and evaluate the risks to which the construction workers are exposed. The application of the developed CHFORAM to a real-life case study was observed to have the following contributions: obtaining a detailed list of critical risks posing danger to the workers in a stepwise manner, obviating the need for having statistical data associated with incompletion and uncertainty, analyzing the identified risks with improved consistency and accuracy, proposing the effective treatment strategies to deal with the risks, and providing future plans for dealing with the risks at post-treatment stage. The application of CHFORAM to any projects can guide the safety inspectors and managers in taking the further jauntier mitigative actions, leading to the improvement in safety and health of the involved workers.

ACS Style

Saeed Reza Mohandes; Xueqing Zhang. Towards the development of a comprehensive hybrid fuzzy-based occupational risk assessment model for construction workers. Safety Science 2019, 115, 294 -309.

AMA Style

Saeed Reza Mohandes, Xueqing Zhang. Towards the development of a comprehensive hybrid fuzzy-based occupational risk assessment model for construction workers. Safety Science. 2019; 115 ():294-309.

Chicago/Turabian Style

Saeed Reza Mohandes; Xueqing Zhang. 2019. "Towards the development of a comprehensive hybrid fuzzy-based occupational risk assessment model for construction workers." Safety Science 115, no. : 294-309.

Journal article
Published: 01 December 2016 in Urban Forestry & Urban Greening
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Green roofs are known as one of the environmentally-friendly applications and also as a sustainable approach in developing countries. Although many researchers have proven the environmental benefits of installing green roofs all around the world, they have not been used widely in many countries due to the lack of knowledge about cost-benefit issues. This paper places an emphasis on all the private factors affecting cost-benefit analysis. Installation, operation and maintenance costs are compared with the benefits such as energy saving, the increase in property value, and the acoustic effect in order to determine two indicators namely “net present value” and “pay-back period,” using the Monte Carlo simulation. Two scenarios are considered in the analyses: using the property, and selling the property after construction. Moreover, correlation and regression sensitivity analyses are also conducted. The capital of Malaysia, Kuala Lumpur, is selected for the case study due to the lack of cost-benefit analysis in developing countries. The results show that there is low probability of loss in the installation of both types of green roofs during their lifespans. Moreover, net present value for intensive green roofs is found to be higher than extensive ones, whereas the payback period for installing extensive green roofs is lower than intensive green roofs. It is concluded that the probability of loss for the owner is higher than that of benefit in the scenario of selling the property after construction resulting from the installation of both types of green roofs

ACS Style

Amir Mahdiyar; Sanaz Tabatabaee; Aidin Nobahar Sadeghifam; Saeed Reza Mohandes; Arham Abdullah; Mahdi Moharrami Meynagh. Probabilistic private cost-benefit analysis for green roof installation: A Monte Carlo simulation approach. Urban Forestry & Urban Greening 2016, 20, 317 -327.

AMA Style

Amir Mahdiyar, Sanaz Tabatabaee, Aidin Nobahar Sadeghifam, Saeed Reza Mohandes, Arham Abdullah, Mahdi Moharrami Meynagh. Probabilistic private cost-benefit analysis for green roof installation: A Monte Carlo simulation approach. Urban Forestry & Urban Greening. 2016; 20 ():317-327.

Chicago/Turabian Style

Amir Mahdiyar; Sanaz Tabatabaee; Aidin Nobahar Sadeghifam; Saeed Reza Mohandes; Arham Abdullah; Mahdi Moharrami Meynagh. 2016. "Probabilistic private cost-benefit analysis for green roof installation: A Monte Carlo simulation approach." Urban Forestry & Urban Greening 20, no. : 317-327.

Journal article
Published: 29 September 2016 in Jurnal Teknologi
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Construction industry has always been beset with injuries and fatalities happened resulting from overlooking pertinent safety rules and regulations. In this regard, Building Information Modeling (BIM) has recently grabbed many practitioners’ attention as a fruitful panacea in order to improve the safety issues of projects. Despite the fact that some studies have been conducted with regard to the usefulness of utilizing BIM in construction projects so as to minimize the accidents occurred in this sector, it is a great moot why there has not been any comprehensive review research scrutinizing the use of BIM in eliminating the safety hazards based on the past undertaken studies. Thus, the authors of this research have aimed at investigating in a great detail how the adoption of BIM in construction projects can bring about significant advantages. From the observations emerged, this conclusion can be drawn that BIM operation in construction industry, particularly prior to the construction stage, would considerably diminish the occurrence of accidents pertaining to safety matters emanating from improving the practitioners’ perception of projects through modeling the diverse safety equipment, and foremost, identifying the potential hazards that may contribute to serious injuries.

ACS Style

Haleh Sadeghi; Saeed Reza Mohandes; Abdul Rahim Abdul Hamid; Christopher Preece; Ali Hedayati; Bachan Singh. REVIEWING THE USEFULNESS OF BIM ADOPTION IN IMPROVING SAFETY ENVIRONMENT OF CONSTRUCTION PROJECTS. Jurnal Teknologi 2016, 78, 1 .

AMA Style

Haleh Sadeghi, Saeed Reza Mohandes, Abdul Rahim Abdul Hamid, Christopher Preece, Ali Hedayati, Bachan Singh. REVIEWING THE USEFULNESS OF BIM ADOPTION IN IMPROVING SAFETY ENVIRONMENT OF CONSTRUCTION PROJECTS. Jurnal Teknologi. 2016; 78 (10):1.

Chicago/Turabian Style

Haleh Sadeghi; Saeed Reza Mohandes; Abdul Rahim Abdul Hamid; Christopher Preece; Ali Hedayati; Bachan Singh. 2016. "REVIEWING THE USEFULNESS OF BIM ADOPTION IN IMPROVING SAFETY ENVIRONMENT OF CONSTRUCTION PROJECTS." Jurnal Teknologi 78, no. 10: 1.

Journal article
Published: 05 April 2016 in Research Journal of Applied Sciences, Engineering and Technology
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ACS Style

Athira Abdullah; Saeed Reza Mohandes; Abdul Rahim Abdul Hamid; Bachan Singh. The Practices of Corporate Social Responsibility among Construction Companies in Malaysia. Research Journal of Applied Sciences, Engineering and Technology 2016, 12, 742 .

AMA Style

Athira Abdullah, Saeed Reza Mohandes, Abdul Rahim Abdul Hamid, Bachan Singh. The Practices of Corporate Social Responsibility among Construction Companies in Malaysia. Research Journal of Applied Sciences, Engineering and Technology. 2016; 12 (7):742.

Chicago/Turabian Style

Athira Abdullah; Saeed Reza Mohandes; Abdul Rahim Abdul Hamid; Bachan Singh. 2016. "The Practices of Corporate Social Responsibility among Construction Companies in Malaysia." Research Journal of Applied Sciences, Engineering and Technology 12, no. 7: 742.

Journal article
Published: 22 December 2015 in Jurnal Teknologi
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The new construction method known as Industrialized Building System (IBS) offers several benefits compared to the Conventional Building System (CBS); however, IBS is perceived by most of the practitioners to be an expensive method for being utilized in construction industry. Whilst relatively numerous studies have been carried out on the subject of IBS and CBS methods, there has not been any exploiting building information modeling (BIM) as a useful tool to calculate quantities, time, and cost needed to construct building with each of the two aforementioned methods. The aim of this paper is to calculate cost of two similar buildings (one is constructed with IBS method and other one with CBS method) and compare them in terms of economy based on a chosen case study and same initial investment. To this end, the construction cost of buildings is calculated using BIM software, namely Revit Architecture and Navisworks Manage for modeling the chosen case study and estimating construction cost, respectively. The findings indicated that IBS was not economic in low investment of company; however, with investment on more than 100 units of IBS, this method was shown more economical compared to CBS method. In addition, the initial investment on IBS method could be returned when more than 200 units of IBS were implemented in the projects.

ACS Style

Amir Faghirinejadfard; Amir Mahdiyar; Abdul Kadir Marsono; Saeed Reza Mohandes; Hossein Omrany; Sanaz Tabatabaee; Masine Md Tap. ECONOMIC COMPARISON OF INDUSTRIALIZED BUILDING SYSTEM AND CONVENTIONAL CONSTRUCTION SYSTEM USING BUILDING INFORMATION MODELING. Jurnal Teknologi 2015, 78, 1 .

AMA Style

Amir Faghirinejadfard, Amir Mahdiyar, Abdul Kadir Marsono, Saeed Reza Mohandes, Hossein Omrany, Sanaz Tabatabaee, Masine Md Tap. ECONOMIC COMPARISON OF INDUSTRIALIZED BUILDING SYSTEM AND CONVENTIONAL CONSTRUCTION SYSTEM USING BUILDING INFORMATION MODELING. Jurnal Teknologi. 2015; 78 (1):1.

Chicago/Turabian Style

Amir Faghirinejadfard; Amir Mahdiyar; Abdul Kadir Marsono; Saeed Reza Mohandes; Hossein Omrany; Sanaz Tabatabaee; Masine Md Tap. 2015. "ECONOMIC COMPARISON OF INDUSTRIALIZED BUILDING SYSTEM AND CONVENTIONAL CONSTRUCTION SYSTEM USING BUILDING INFORMATION MODELING." Jurnal Teknologi 78, no. 1: 1.

Journal article
Published: 27 August 2015 in Jurnal Teknologi
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Green roof installation has been used as a sustainable approach for many years in order to reduce the adverse impacts of environmental issues all around the world. These environmental issues include: global warming, air pollution, flood, carbon footprint and so on. Green roofs are practical as a sustainable approach, especially in developed countries; however, there is an increasing trend of implementing green roofs in developing countries. This paper is reviewing the benefits of green roof installation and how green roof might contribute to reduce the negative environmental issues. The environmental problems that can be solved or reduced by these benefits are discussed separately in this paper. It is concluded that due to the environmental benefits of green roof installation, it leads to many economic benefits. Moreover, green roof implementation is beneficial in both urban areas and rural places.

ACS Style

Amir Mahdiyar; Arham Abdullah; Sanaz Tabatabaee; Leily Mahdiyar; Saeed Reza Mohandes. INVESTIGATING THE ENVIRONMENTAL IMPACTS OF GREEN ROOF INSTALLATION. Jurnal Teknologi 2015, 76, 1 .

AMA Style

Amir Mahdiyar, Arham Abdullah, Sanaz Tabatabaee, Leily Mahdiyar, Saeed Reza Mohandes. INVESTIGATING THE ENVIRONMENTAL IMPACTS OF GREEN ROOF INSTALLATION. Jurnal Teknologi. 2015; 76 (1):1.

Chicago/Turabian Style

Amir Mahdiyar; Arham Abdullah; Sanaz Tabatabaee; Leily Mahdiyar; Saeed Reza Mohandes. 2015. "INVESTIGATING THE ENVIRONMENTAL IMPACTS OF GREEN ROOF INSTALLATION." Jurnal Teknologi 76, no. 1: 1.

Journal article
Published: 29 June 2015 in Jurnal Teknologi
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Partition walls are considered as one of the most crucial elements on interior space within the buildings. While a considerable amount of research has been carried out studying theses critical elements to be used on the interior space of the buildings, BIM has not been exploited so far in order to enhance the accuracy of work. Therefore, the main purpose of this study is to compare three types of commonly used partition walls in terms of materials, time and cost needed to install each of them using BIM. To achieve the specified goal, a case study was chosen. The framework used in this study consists of modeling the installation steps of each partition wall based on the chosen case study using Revit Architecture and Autodesk Inventor. In order to calculate the materials, time and cost required, Naviswork Manage was employed and it was found that drywall could be considered as the most useful one to be installed on the interior space of the buildings in comparison to the other two types of partitions.

ACS Style

Saeed Reza Mohandes; Abdul Kadir Marsono; Hossein Omrany; Amir Faghirinejadfard; Amir Mahdiyar. COMPARISON OF BUILDING EXISTING PARTITIONS THROUGH BUILDING INFORMATION MODELING (BIM). Jurnal Teknologi 2015, 75, 1 .

AMA Style

Saeed Reza Mohandes, Abdul Kadir Marsono, Hossein Omrany, Amir Faghirinejadfard, Amir Mahdiyar. COMPARISON OF BUILDING EXISTING PARTITIONS THROUGH BUILDING INFORMATION MODELING (BIM). Jurnal Teknologi. 2015; 75 (1):1.

Chicago/Turabian Style

Saeed Reza Mohandes; Abdul Kadir Marsono; Hossein Omrany; Amir Faghirinejadfard; Amir Mahdiyar. 2015. "COMPARISON OF BUILDING EXISTING PARTITIONS THROUGH BUILDING INFORMATION MODELING (BIM)." Jurnal Teknologi 75, no. 1: 1.