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Dr Saeed Banihashemi is the Assistant Professor of Building and Construction Management discipline in the School of Design and Built Environment, Faculty of Arts and Design; University of Canberra (UC). He has obtained his PhD from the Built Environment school of University of Technology Sydney (UTS). As the PhD project, Saeed developed a novel approach in integrating Building Information Modelling (BIM) with Artificial Intelligence (AI) to optimise the informatics application in construction industry. Saeed is the editorial board member of the journal of Smart & Sustainable Built Environment, member of Australian Institute of Project Management (AIPM), Australian BIM Academic Forum (ABAF), Australian BIM Advisory Board (ABAB), the executive member of the ACT chapter of Australian Institute of Building (AIB) and the Fellow of UK Higher Education Academy (FHEA). Saeed has patented a new method in monitoring of construction project sites through data analytics application, published a book regarding the integration of Industrialised Building System with BIM and authored and co-authored more than 50 research articles and book chapters on the areas of BIM, built environment and data analytics in construction industry. Saeed’s work has been cited more than 650 times in frontline journals, dissertations and conferences, mostly in knowledge areas relating to construction project development, digital design & construction and sustainable built environment.
The longevity and survival of the ancient heritage sites, especially those in isolated locations, have been gradually threatened over the past decades, due to the globalisation and subsequent socio-cultural changes. As a result (of these changes), the future of these ancient sites remains uncertain. Therefore, this study aims to develop a digitally integrated framework using Virtual Reality, VR, technology to digitally document and create a simulated environment of the endangered heritage sites and present how new urban and construction developments may impact their presence. Hence, this study applied a qualitative longitudinal method to present the steps required to collect the data, develop a narrative-based framework and interactively present it via the VR project. The developed framework was, then, validated through the field data collection, across five years, from a very unique case study; Kandan, Iran as the last cone-shaped community settlement in the world, and its result was effectively displayed and exhibited at QUT IMPACT exhibition in Australia over a one-week period. The outcomes of this research could successfully raise awareness, encourage engagement and action and question the status quo of this heritage settlement through an interactive and engaging exhibition with the public.
Aso Hajirasouli; Saeed Banihashemi; Anoma Kumarasuriyar; Saeed Talebi; Amir Tabadkani. Virtual reality-based digitisation for endangered heritage sites: Theoretical framework and application. Journal of Cultural Heritage 2021, 49, 140 -151.
AMA StyleAso Hajirasouli, Saeed Banihashemi, Anoma Kumarasuriyar, Saeed Talebi, Amir Tabadkani. Virtual reality-based digitisation for endangered heritage sites: Theoretical framework and application. Journal of Cultural Heritage. 2021; 49 ():140-151.
Chicago/Turabian StyleAso Hajirasouli; Saeed Banihashemi; Anoma Kumarasuriyar; Saeed Talebi; Amir Tabadkani. 2021. "Virtual reality-based digitisation for endangered heritage sites: Theoretical framework and application." Journal of Cultural Heritage 49, no. : 140-151.
Uncertainty is a critical factor in medical datasets needed to be overcome for increasing diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a fuzzy rule-based approach, a harmony search (HS) algorithm, and a heuristic algorithm to classify medical datasets intelligently. Two fuzzy approaches, as well as orthogonal and triangular fuzzy sets, are first utilized to define the attributes of data. Then, an HS algorithm is integrated with a heuristic to generate fuzzy rules to select the best rules in the fuzzy rule-based systems. Moreover, to improve the performance of the proposed classification approach, a three-phase parameter tuning approach is applied. First, the Taguchi method (phase I) is employed to tune the parameters of the HS algorithm using a fixed number of training data and find the central points of the parameters’ values. Then, a nested cross-validation (CV) approach consisting of an outer CV (phase II) and an inner CV (phase III) is utilized. Using the Taguchi approach gives the advantage of not considering a wide range of parameters by the nested CV which produces better results on the medical dataset. Nine well-known medical datasets are used to evaluate the efficiency of the proposed hybrid algorithm. To this aim, the results obtained by the algorithm are compared with the ones of several related works in the literature where several statistical tests and graphical approaches are used for comparisons. The results show that the proposed methods are robust in data analysis and classification of clinical datasets.
Seyed Mohsen Mousavi; Salwani Abdullah; Seyed Taghi Akhavan Niaki; Saeed Banihashemi. An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications. Knowledge-Based Systems 2021, 220, 106943 .
AMA StyleSeyed Mohsen Mousavi, Salwani Abdullah, Seyed Taghi Akhavan Niaki, Saeed Banihashemi. An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications. Knowledge-Based Systems. 2021; 220 ():106943.
Chicago/Turabian StyleSeyed Mohsen Mousavi; Salwani Abdullah; Seyed Taghi Akhavan Niaki; Saeed Banihashemi. 2021. "An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications." Knowledge-Based Systems 220, no. : 106943.
Amirmohamad Abolhasani; Fatemeh Aslani; Bijan Samali; Seyed Hamidreza Ghaffar; Hossein Fallahnejad; Saeed Banihashemi. Silicate impurities incorporation in calcium aluminate cement concrete: mechanical and microstructural assessment. Advances in Applied Ceramics 2021, 120, 104 -116.
AMA StyleAmirmohamad Abolhasani, Fatemeh Aslani, Bijan Samali, Seyed Hamidreza Ghaffar, Hossein Fallahnejad, Saeed Banihashemi. Silicate impurities incorporation in calcium aluminate cement concrete: mechanical and microstructural assessment. Advances in Applied Ceramics. 2021; 120 (2):104-116.
Chicago/Turabian StyleAmirmohamad Abolhasani; Fatemeh Aslani; Bijan Samali; Seyed Hamidreza Ghaffar; Hossein Fallahnejad; Saeed Banihashemi. 2021. "Silicate impurities incorporation in calcium aluminate cement concrete: mechanical and microstructural assessment." Advances in Applied Ceramics 120, no. 2: 104-116.
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.
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 StyleHaleh 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 StyleHaleh 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.
Kandovan, a rural village in northwestern Iran, is a significant settlement because of its unique cone-shaped architecture and distinctive social consistency, having been continually inhabited for the past nine centuries. This uniqueness was officially acknowledged when it was enshrined in Iran's National Heritage List in (give date here). Over the past two decades, however, this unique settlement has experienced profound changes driven by the 21st-century lifestyles of its current residents. This research paper aims to identify the underlying factors responsible for these on-going changes. Data on the architecture, society, and culture of its inhabitants was collected using the qualitative methodology of an embedded single-case study, drawing on direct observation, interviews, document analysis, archival records, and physical artefacts, the content of this data then being evaluated using thematic analysis. The results from this analysis have indicated that both the rural community and unique architecture of Kandovan are fast disappearing, mostly due to mass-tourism and urbanisation which is resulting in a rapid change of the socio-cultural backgrounds of the local residents. This research confirms the importance of providing additional support for the preservation and management of the architectural context and living traditions of Kandovan as the last surviving rock cone-shaped rural habitation, and other, similarly endangered heritage sites.
Aso Hajirasouli; Saeed Banihashemi. The Unfolding Tragedy of Kandovan: The Loss of the last inhabited cone-shaped settlement in the world. Habitat International 2020, 102, 102211 .
AMA StyleAso Hajirasouli, Saeed Banihashemi. The Unfolding Tragedy of Kandovan: The Loss of the last inhabited cone-shaped settlement in the world. Habitat International. 2020; 102 ():102211.
Chicago/Turabian StyleAso Hajirasouli; Saeed Banihashemi. 2020. "The Unfolding Tragedy of Kandovan: The Loss of the last inhabited cone-shaped settlement in the world." Habitat International 102, no. : 102211.
Purpose Successful implementation of infrastructure projects has been a controversial issue in recent years, particularly in developing countries. This study aims to propose a decision support system (DSS) for the evaluation and prediction of project success while considering sustainability criteria. Design/methodology/approach To predict sustainable success factor, the study first developed its sustainable success factors and sustainable success criteria. These then formed a decision table. A rough set theory (RST) was then implemented for rules generation. The decision table was used as the input for the rough set, which returned a set of rules as the output. The generated rulesets were then filtered in fuzzy inference system (FIS), before serving as the basis for the DSS. The developed prediction tool was tested and validated by applying data from a real infrastructure project. Findings The results show that the developed rough set fuzzy method has strong ability in evaluation and prediction of the project success. Hence, the efficacy of the DSS is greatly related to the rule-based system, which applies RST to generate the rules and the result of the FIS was found to be valid via running a case study. Originality/value Use of DSS for predicting the sustainable success of the construction projects is gaining progressive interest. Integration of RST and FIS has also been advocated by the seminal literature in terms of developing robust rulesets for impeccable prediction. However, there is no preceding study adopting this integration for predicting project success from the sustainability perspective. The developed system in this study can serve as a tool to assist the decision-makers to dynamically evaluate and predict the success of their own projects based on different sustainability criteria throughout the project life cycle.
Saeed Akbari; Farzad Rahimian; Moslem Sheikhkhoshkar; Saeed Banihashemi; Mostafa Khanzadi. Dynamic sustainable success prediction model for infrastructure projects: a rough set based fuzzy inference system. Construction Innovation 2020, 20, 545 -567.
AMA StyleSaeed Akbari, Farzad Rahimian, Moslem Sheikhkhoshkar, Saeed Banihashemi, Mostafa Khanzadi. Dynamic sustainable success prediction model for infrastructure projects: a rough set based fuzzy inference system. Construction Innovation. 2020; 20 (4):545-567.
Chicago/Turabian StyleSaeed Akbari; Farzad Rahimian; Moslem Sheikhkhoshkar; Saeed Banihashemi; Mostafa Khanzadi. 2020. "Dynamic sustainable success prediction model for infrastructure projects: a rough set based fuzzy inference system." Construction Innovation 20, no. 4: 545-567.
The consequences of climate change are observed in several ways in human settlements, one of which is the threat it poses to the physical elements and infrastructures of cities. To mitigate it, cities apply adaptation strategies. These strategies have proper effectiveness and are adapted according to local characteristics. This study applied the cross-sectional survey method and Structural Equation Modeling (SEM) to assess the possible relations between variables. The study population was the architects of Tehran metropolis with a sample size of 85. The study instrument was a researcher-developed questionnaire consisting of four sections. Five hypotheses were assessed for relations of knowledge, tendency, perceived threats, and the adaptation strategies, all of which were proved by the study results. The results of the study showed that knowledge on the climate change significantly affects the perceived threats, tendency and the adaptation strategies. The adaptation strategies were also dependent on tendency and the perceived threats. The findings of this study can be helpful for planners and decision makers and the Architecture Society of Tehran to address the problem of climate change more adequately.
Mazdak Irani; Saeed Banihashemi. Impact of Knowledge, Tendency and Perceived Threats of Climate Change on Adaptation Strategies: The Case of Tehran Architects. Energy and Environment Research 2020, 10, p22 .
AMA StyleMazdak Irani, Saeed Banihashemi. Impact of Knowledge, Tendency and Perceived Threats of Climate Change on Adaptation Strategies: The Case of Tehran Architects. Energy and Environment Research. 2020; 10 (1):p22.
Chicago/Turabian StyleMazdak Irani; Saeed Banihashemi. 2020. "Impact of Knowledge, Tendency and Perceived Threats of Climate Change on Adaptation Strategies: The Case of Tehran Architects." Energy and Environment Research 10, no. 1: p22.
Existence of diverse sustainable materials with distinctive features causes more difficult decision makings for project teams especially when it is intended to use ideal materials from diverse types of sustainable products. Few research studies have been conducted so far on applying Building Information Modeling (BIM) to act as Decision Support System (DSS) using of math works functions and tools in combination with Multiple Criteria Decision-Making (MCDM) techniques. The main purpose of this study is to propose a methodology that integrates BIM with decision-making and problem-solving approaches including Fuzzy and TOPSIS in order to efficiently optimize the selection of sustainable building components at the conceptual design stage of building projects. To select the optimum building components, each item is assessed against three major attributes of decision criteria as Design, Economic and Quality factors, which are applied in Multiple Attribute Decision Support System (MADSS) methodology to indicate the various performance of buildings sustainability. This BIM-integrated process is linked to the engine of Matlab software to apply Fuzzy functions on the users’ priority in order to automatically suggest the ideal solutions. The design alternatives suggested by Matlab is validated by Life Cycle Cost (LCC) method to analyze the operational cost of an actual building project. Using this innovative method will make the decision-making procedure more convenient as well as proposing more realistic and reliable final and sustainable optimized choice.
Abdulwahed Fazeli; Farzad Jalaei; Mostafa Khanzadi; Saeed Banihashemi. BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components. International Journal of Construction Management 2019, 1 -20.
AMA StyleAbdulwahed Fazeli, Farzad Jalaei, Mostafa Khanzadi, Saeed Banihashemi. BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components. International Journal of Construction Management. 2019; ():1-20.
Chicago/Turabian StyleAbdulwahed Fazeli; Farzad Jalaei; Mostafa Khanzadi; Saeed Banihashemi. 2019. "BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components." International Journal of Construction Management , no. : 1-20.
Purpose Remotely piloted aircraft (RPA) systems have emerged as an established tool within the construction industry. Concurrent with this trend has been the rise in research on RPA, establishing this as a new field of study within the construction management domain. What is needed now is an assessment of the current state of research in this emerging discipline – its strengths and weaknesses – by which future research on RPA in construction may be guided. The purpose of this paper is to address this need. Design/methodology/approach A total of 59 peer-reviewed journal articles covering RPAs within the construction domain were systematically reviewed using a mixed-methods approach, utilizing qualitative-scientometric analyses techniques. Findings The results reveal a field of study in its fledgling stage, with a limited number of experts operating somewhat in isolation, from a limited number of institutions. Key publication outlets are identified, with the main focus of research being in the technical areas of remote sensing, photogrammetry and image processing. Practical implications The study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of RPAs in the industry. Originality/value The study exposes what is missing from current research: a broader consideration of organizational adjustments needed to accommodate RPA usage, economic analyses and impediments to wider acceptance.
Hamed Golizadeh; M. Reza Hosseini; Igor Martek; David Edwards; Masoud Gheisari; Saeed Banihashemi; Jingxiao Zhang. Scientometric analysis of research on “remotely piloted aircraft”. Engineering, Construction and Architectural Management 2019, 27, 634 -657.
AMA StyleHamed Golizadeh, M. Reza Hosseini, Igor Martek, David Edwards, Masoud Gheisari, Saeed Banihashemi, Jingxiao Zhang. Scientometric analysis of research on “remotely piloted aircraft”. Engineering, Construction and Architectural Management. 2019; 27 (3):634-657.
Chicago/Turabian StyleHamed Golizadeh; M. Reza Hosseini; Igor Martek; David Edwards; Masoud Gheisari; Saeed Banihashemi; Jingxiao Zhang. 2019. "Scientometric analysis of research on “remotely piloted aircraft”." Engineering, Construction and Architectural Management 27, no. 3: 634-657.
In line with the growing global trend towards energy efficiency in buildings, this paper introduces a predictive model based on artificial neural network to rate the performance of windows in terms of saved heating and cooling loads. A four-story building representing the conventional type of residential apartments in Iran for four cities of Rasht, Ardabil, Yazd and Bandar-e- Abbas were selected for simulation. An artificial neural network model was developed based on ten variables of U-factor, solar heat gain coefficient (SHGC), emissivity, monthly average dry bulb temperature, monthly average percent humidity, monthly average wind speed, monthly average direct solar radiation, monthly average diffuse solar radiation, orientation, month as the input variables and saved heating or cooling loads as the output. The best architecture of 10-10-1 with mean absolute percentage error (MAPE), root mean square error (RMSE) and R2 results of 1.4%, 0.008 and 0.985 respectively showed the excellent predictive performance of the model. The predictions of this model in comparison with the four levels of performance, ranging from excellent performance to weak performance, show the final rating of a window. The results of this novel approach provide succinct information regarding the performance of windows and promote users' conscience in terms of selecting energy efficient windows for buildings.
Mahmoud Shakouri; Saeed Banihashemi; Mahmoud Shakouri Hassanabadi; Saeed Banihashemi Namini. Developing an empirical predictive saved load-rating model for windows by using artificial neural network. International Journal of Green Energy 2019, 16, 961 -970.
AMA StyleMahmoud Shakouri, Saeed Banihashemi, Mahmoud Shakouri Hassanabadi, Saeed Banihashemi Namini. Developing an empirical predictive saved load-rating model for windows by using artificial neural network. International Journal of Green Energy. 2019; 16 (13):961-970.
Chicago/Turabian StyleMahmoud Shakouri; Saeed Banihashemi; Mahmoud Shakouri Hassanabadi; Saeed Banihashemi Namini. 2019. "Developing an empirical predictive saved load-rating model for windows by using artificial neural network." International Journal of Green Energy 16, no. 13: 961-970.
It has been cogently acknowledged that employing BIM in the built environment companies has delivered remarkable benefits such as enhanced HCI, superior visualization, precise documentation, integrated design, construction and project management processes. Yet, the Architecture, Engineering and Construction (AEC) enterprises involved are still lagging behind in embracing BIM into core practices of their projects. This is particularly evident in the case of Small and Medium Sized Enterprises (SMEs) where higher levels of BIM implementation need to be scrutinized. There is little evidence on how these SMEs perceive the role of BIM management, and to some extent, they apply this process in their projects. The limited financial and human resources of these SMEs make it difficult to keep up with such BIM adoption processes. Therefore, to address these challenges, this paper is to shed light on the potentials of applying the business strategy of Multi-Sided Platform (MSP) in the construction industry and adapting its conceptual model for managing BIM implementation in construction SMEs. Positioning BIM professional services in MSP model can enable these firms to focus on their core businesses while benefiting from the senior talents which offer immediate access to BIM industry best practices. The study contributes to the field by providing succinct information on MSP implementation and its adoption in AEC SMEs. The study contributes to the body of knowledge through positioning BIM management platform in a rather overlooked context namely SMEs. Practically, policy makers and stakeholders would also benefit from the findings in order to promote BIM adoption.
Saeed Banihashemi; Hamed Sarbazhosseini; Sisira Adikari; Farshid Hosseini; M. Reza Hosseini. Multi-sided Platforms: A Business Model for BIM Adoption in Built Environment SMEs. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 22 -32.
AMA StyleSaeed Banihashemi, Hamed Sarbazhosseini, Sisira Adikari, Farshid Hosseini, M. Reza Hosseini. Multi-sided Platforms: A Business Model for BIM Adoption in Built Environment SMEs. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():22-32.
Chicago/Turabian StyleSaeed Banihashemi; Hamed Sarbazhosseini; Sisira Adikari; Farshid Hosseini; M. Reza Hosseini. 2019. "Multi-sided Platforms: A Business Model for BIM Adoption in Built Environment SMEs." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 22-32.
Human-Centered interaction (HCI) has played a significant role in different areas of, software engineering, robotics, programming, facial recognition, and IT systems. To date, Project Portfolio Management is a field that HCI has not yet received much attention. However, the project management field and more specifically, software of Portfolio Management has been encouraged in the practise of HCI and design thinking concepts to improve outcomes of projects. This study aims to develop a framework in portfolio management that improves the understanding of HCI in portfolio management and assist’s software developers to better engage design thinking in their approach. Furthermore, it develops a framework that can rectify issues identified from within the Organisational State Transition Approach of Portfolio Management, such as, unclear actions and strategic goals, uncertainty of success measures and key people being unsure of their purpose and what they were trying to achieve. We have applied a PACT framework as well as incorporating project management process groups to assist organizations to achieve their strategic goals. The outcome of this study assists portfolio managers to explore the requirements of their organization and enhance the success rate of their IT projects.
Hamed Sarbazhosseini; Saeed Banihashemi; Sisira Adikari. Human-Centered Framework for Managing IT Project Portfolio. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 432 -442.
AMA StyleHamed Sarbazhosseini, Saeed Banihashemi, Sisira Adikari. Human-Centered Framework for Managing IT Project Portfolio. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():432-442.
Chicago/Turabian StyleHamed Sarbazhosseini; Saeed Banihashemi; Sisira Adikari. 2019. "Human-Centered Framework for Managing IT Project Portfolio." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 432-442.
The idea of Adaptive Solar Façade (ASF), as a modular, dynamic, and flexible types of smart façades could be a promising approach in a comfort-centric design through the proper integration with the parametric design. Therefore, this paper is to investigate the development process of ASF grounded on parametric design tools with a focus towards its visual comfort indices through a controllable shading system. To that end, first, a comprehensive literature review was carried out to develop an origami-based dynamic system, and three numerical timing patterns were then applied using Grasshopper plug-in for Rhino. In addition, the environmental plug-ins of Honeybee and Ladybug were employed to determine indoor daylight quality via different geometrical and physical properties. Thus, 1800 design models were prepared, based on several variables including rotation motions, indoor view angles, time hours and transmittance properties in order to investigate the daylighting performance and glare probability in a single office space located in the hot-arid climate representative; Tehran, Iran. Furthermore, interactive correlations between the geometrical pattern and visual performance were investigated, leading to this fact that the proposed prototype can significantly improve the flexibility of the shading system to control visual comfort. As the conclusion, all datasets were integrated into an algorithmic workflow while converting its advantages and limitations into an optimization process. Finally, a full potential hexagonal adaptive system was presented to achieve the maximum visual comfort level based on the users' preferences that can be the basis for future investment on smart building envelopes.
Amir Tabadkani; Masoud Valinejad Shoubi; Farzaneh Soflaei; Saeed Banihashemi. Integrated parametric design of adaptive facades for user's visual comfort. Automation in Construction 2019, 106, 102857 .
AMA StyleAmir Tabadkani, Masoud Valinejad Shoubi, Farzaneh Soflaei, Saeed Banihashemi. Integrated parametric design of adaptive facades for user's visual comfort. Automation in Construction. 2019; 106 ():102857.
Chicago/Turabian StyleAmir Tabadkani; Masoud Valinejad Shoubi; Farzaneh Soflaei; Saeed Banihashemi. 2019. "Integrated parametric design of adaptive facades for user's visual comfort." Automation in Construction 106, no. : 102857.
Extant literature extensively articulates the advantages of using remotely piloted aircrafts (RPAs) in a myriad of construction activities. Yet, the barriers that hinder their wider adoption on construction projects have received scant academic attention. This study aims at addressing this gap in the literature. This study reviews 59 papers published on the use of RPAs for construction activities and offers an evaluation of barriers to widespread adoption throughout the sector. Barriers are identified, collated and categorized into five thematic groups, namely, technical difficulties, restrictive regulatory environment, site-related problems, weather and organizational barriers. The paper contributes to knowledge by: signposting a need for reordering priorities when defining future research on RPAs, suggesting measures to address the barriers identified and providing pragmatic guidance for construction companies intending to use RPAs on their projects. Using the task–technology fit theory, the study uncovers that current RPA technology is an under-fit match for construction activities and represents a prominent barrier to adoption. This is a dissenting finding, given that past studies on RPAs have primarily focused upon addressing public acceptance, concerns and societal consequences. Enablers of the identified barriers are also collated from extant literature and contemporary practice and encapsulated in a conceptual model.
Hamed Golizadeh; M. Reza Hosseini; David John Edwards; Sepehr Abrishami; Nasrin Taghavi; Saeed Banihashemi. Barriers to adoption of RPAs on construction projects: a task–technology fit perspective. Construction Innovation 2019, 19, 149 -169.
AMA StyleHamed Golizadeh, M. Reza Hosseini, David John Edwards, Sepehr Abrishami, Nasrin Taghavi, Saeed Banihashemi. Barriers to adoption of RPAs on construction projects: a task–technology fit perspective. Construction Innovation. 2019; 19 (2):149-169.
Chicago/Turabian StyleHamed Golizadeh; M. Reza Hosseini; David John Edwards; Sepehr Abrishami; Nasrin Taghavi; Saeed Banihashemi. 2019. "Barriers to adoption of RPAs on construction projects: a task–technology fit perspective." Construction Innovation 19, no. 2: 149-169.
The construction industry consistently ranks amongst the highest contributors to global gross domestic product, as well as, amongst the most corrupt. Corruption therefore inflicts significant risk on construction activities, and overall economic development. These facts are widely known, but the various sources and nature of corruption risks endemic to the Iranian construction industry, along with the degree to which such risks manifest, and the strength of their impact, remain undescribed. To address the gap, a mixed methods approach is used; with a questionnaire, 103 responses were received, and these were followed up with semi-structured interviews. Results were processed using social network analysis. Four major corruption risks were identified: (1) procedural violations in awarding contracts, (2) misuse of contractual arrangements, (3) neglect of project management principles, and, (4) irrational decision making. While corruption risks in Iran align with those found in other countries, with funds being misappropriated for financial gain, Iran also shows a strong inclination to champion projects that serve the government’s political agenda. Root cause identification of corruption risks, namely, the noticeable impact of authoritarianism on project selection in Iran, over criterion of economic benefit or social good, is a significant outcome of this study.
M. Reza Hosseini; Igor Martek; Saeed Banihashemi; Albert P. C. Chan; Amos Darko; Mahdi Tahmasebi. Distinguishing Characteristics of Corruption Risks in Iranian Construction Projects: A Weighted Correlation Network Analysis. Science and Engineering Ethics 2019, 26, 205 -231.
AMA StyleM. Reza Hosseini, Igor Martek, Saeed Banihashemi, Albert P. C. Chan, Amos Darko, Mahdi Tahmasebi. Distinguishing Characteristics of Corruption Risks in Iranian Construction Projects: A Weighted Correlation Network Analysis. Science and Engineering Ethics. 2019; 26 (1):205-231.
Chicago/Turabian StyleM. Reza Hosseini; Igor Martek; Saeed Banihashemi; Albert P. C. Chan; Amos Darko; Mahdi Tahmasebi. 2019. "Distinguishing Characteristics of Corruption Risks in Iranian Construction Projects: A Weighted Correlation Network Analysis." Science and Engineering Ethics 26, no. 1: 205-231.
This chapter aims at introducing available cutting-edge methodologies applicable to construction activities. To this end, the chapter brings information about different cutting-edge methodologies under one cover. The content of the chapter is designed for readers who might not be specialists in ICT-oriented techniques while working within any domain of the construction industry. In the classroom, this chapter could be a supplementary source for courses on information systems in construction or lean project delivery.
M. Reza Hosseini; Saeed Banihashemi; Fahimeh Zaeri; Alireza Adibfar. Advanced ICT Methodologies (AIM) in the Construction Industry. Advances in Logistics, Operations, and Management Science 2019, 118 -131.
AMA StyleM. Reza Hosseini, Saeed Banihashemi, Fahimeh Zaeri, Alireza Adibfar. Advanced ICT Methodologies (AIM) in the Construction Industry. Advances in Logistics, Operations, and Management Science. 2019; ():118-131.
Chicago/Turabian StyleM. Reza Hosseini; Saeed Banihashemi; Fahimeh Zaeri; Alireza Adibfar. 2019. "Advanced ICT Methodologies (AIM) in the Construction Industry." Advances in Logistics, Operations, and Management Science , no. : 118-131.
Mostafa Khanzadi; Moslem Sheikhkhoshkar; Saeed Banihashemi. BIM applications toward key performance indicators of construction projects in Iran. International Journal of Construction Management 2018, 20, 305 -320.
AMA StyleMostafa Khanzadi, Moslem Sheikhkhoshkar, Saeed Banihashemi. BIM applications toward key performance indicators of construction projects in Iran. International Journal of Construction Management. 2018; 20 (4):305-320.
Chicago/Turabian StyleMostafa Khanzadi; Moslem Sheikhkhoshkar; Saeed Banihashemi. 2018. "BIM applications toward key performance indicators of construction projects in Iran." International Journal of Construction Management 20, no. 4: 305-320.
Building information modeling (BIM) has developed as the definitive technology for managing construction projects. With its rise, the corresponding role of BIM manager has emerged as a necessary adjunct role in coordinating BIM-enabled projects. The ascent of the BIM manager has attracted a significant body of research, investigating the various competencies and responsibilities required of the role. While BIM is here to stay, a recent study, however, asserts that a distinct role oriented around BIM is transitory, which represents a significant departure from accepted assumptions regarding the viability of the BIM manager role. This research sets out to test the likelihood of a long-term market demand for the BIM manager, as a distinct role, based on a robust quantitative analysis of open-source data from a rich empirical dataset of global relevance for North America, Europe, and Australasia. Text mining methods are used. A total of 199 BIM-related jobs were retrieved from 14 of the most relevant job websites, representing the global English speaking job markets. Key knowledge, skills, and abilities that are attributes of BIM jobs were extracted and analyzed. Analysis reveals that there is no significant difference between the roles BIM manager and BIM coordinator. Moreover, the findings highlight that these two BIM roles align with that of project manager. Most importantly, analysis shows that BIM roles supplement the lack of BIM expertise within the role of project manager, and that, as BIM capabilities are increasingly absorbed by project managers, the rationale for an independent BIM expert will fade. The corollary is that BIM roles are a stopgap measure that can be expected to disappear as project managers absorb requisite BIM skills. The practical implication for construction engineering HR departments is that the prevailing policy of retaining dedicated BIM managers into the longer-term future should shift to one in which project managers are retrained to a level at which they possess comprehensive, independent BIM expertise.
M. Reza Hosseini; Igor Martek; Eleni Papadonikolaki; Moslem Sheikhkhoshkar; Saeed Banihashemi; Mehrdad Arashpour. Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements. Journal of Construction Engineering and Management 2018, 144, 04018085 .
AMA StyleM. Reza Hosseini, Igor Martek, Eleni Papadonikolaki, Moslem Sheikhkhoshkar, Saeed Banihashemi, Mehrdad Arashpour. Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements. Journal of Construction Engineering and Management. 2018; 144 (9):04018085.
Chicago/Turabian StyleM. Reza Hosseini; Igor Martek; Eleni Papadonikolaki; Moslem Sheikhkhoshkar; Saeed Banihashemi; Mehrdad Arashpour. 2018. "Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements." Journal of Construction Engineering and Management 144, no. 9: 04018085.
This study develops an integrated model of the main contextual factors that affect sustainable delivery of megaprojects in Iran. The inputs to the model are based on a comprehensive literature review affecting the “triple bottom line” of sustainability, as measured in economic, environmental, and social costs. Innovation diffusion theory and extralogical laws of imitation inform the theoretical points of departure. The model inputs were customized for the context of Iran, and a structural equation model was developed, using data collected from 101 survey questionnaires. The findings identify a wide range of factors that directly impact megaproject sustainability, and these may be used by policymakers and practitioners within the Iranian construction industry to better manage sustainability outcomes. Principally, megaprojects would benefit from (1) the generation of sustainability awareness at the evaluation phase, (2) tackling corruption at the preparation phase, and (3) consolidating responsible project management practices at the usage phase. Moreover, these lessons may be more broadly applicable across the entire construction supply chain in Iran, as well as being transferable to other developing countries.
M. Reza Hosseini; Saeed Banihashemi; Igor Martek; Hamed Golizadeh; Farzad Ghodoosi. Sustainable Delivery of Megaprojects in Iran: Integrated Model of Contextual Factors. Journal of Management in Engineering 2018, 34, 05017011 .
AMA StyleM. Reza Hosseini, Saeed Banihashemi, Igor Martek, Hamed Golizadeh, Farzad Ghodoosi. Sustainable Delivery of Megaprojects in Iran: Integrated Model of Contextual Factors. Journal of Management in Engineering. 2018; 34 (2):05017011.
Chicago/Turabian StyleM. Reza Hosseini; Saeed Banihashemi; Igor Martek; Hamed Golizadeh; Farzad Ghodoosi. 2018. "Sustainable Delivery of Megaprojects in Iran: Integrated Model of Contextual Factors." Journal of Management in Engineering 34, no. 2: 05017011.
This study reports on developing an innovative approach for the parametric analysis of daylighting and visual comfort, through a sun responsive shading system. The objective is estimating the annual daylight metrics and indoor glare discomfort. To this end, a review of the literature was carried out on three key concepts: smart facades, visual comfort, and parametric design, in order to develop a dynamic pattern of an oriental system for enhancing the daylight and visual performance. Afterwards, two geometrical components (Rosette modules and louvers) were applied, using Grasshopper plug-in for Rhino and daylighting plug-in DIVA, to investigate the indoor daylight quality through different geometrical and physical properties. This resulted in generating 6480 design variants, when several variables (rotation, distance to facade, time hours, transmittance properties and colors) that affect incoming daylight as well as visual comfort performance in a single office space in the hot-arid climate of Tehran were taken into account. Interactive correlations between the overall performance of kinetic patterns and visual performance were investigated through an optimization process. Analyses showed that the proposed approach is capable of significantly improving the shading flexibility to control daylight metrics and glare, via a full potential adaptive pattern to achieve the maximum visual comfort level based on LEEDv4 certificate.
Amir Tabadkani; Saeed Banihashemi; M. Reza Hosseini. Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis. Building Simulation 2018, 11, 663 -676.
AMA StyleAmir Tabadkani, Saeed Banihashemi, M. Reza Hosseini. Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis. Building Simulation. 2018; 11 (4):663-676.
Chicago/Turabian StyleAmir Tabadkani; Saeed Banihashemi; M. Reza Hosseini. 2018. "Daylighting and visual comfort of oriental sun responsive skins: A parametric analysis." Building Simulation 11, no. 4: 663-676.