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As the population grows, one of the major global crises is the management of human settlement. A proper solution to deal with this issue is mass housing. Given the variable needs in these projects, two constraints of height and volume of construction play an essential role in fulfilling success criteria. Hence, this paper aims to choose the most appropriate building method to satisfy time, cost, quality and safety factors considering the volume and height of construction.

In this research, the proper construction methods in mass housing projects in two volumes of up to 1000 (small) and 1000-3000 (medium) residential units in three ranges of the height of 5, 5-10, and higher than ten floors were determined with a focus on the success criteria based on real experiences through questionnaires and interviews.

The results show that steel bolt and nut and tunnel framework systems in higher than five-floor building projects act better than other methods, while in up to five-floor building projects, LSF saves time and cost and steel bolt and nut provides higher quality and safety.

Given the extent of work, the results of this research can be considered as a benchmark in the mass housing industry.

The existence of hidden and dangerous points after the fire leads to loss of command of the rescue teams, casualties, and financial loss. This paper aims to identify these points by taking into account their contributing factors that can help to better manage, prevent and prepare for the risks even after their occurrence.

In this study, the fire overhaul was investigated by identifying the risks of this stage and ranking them in terms of impact. This paper introduces danger points using empirical knowledge (questionnaire) along with theoretical knowledge (literature review) and suggested solutions. Finally, by investigating the dangers and their effects on each other, it introduced three main danger paths. The main problem is the lack of applied knowledge, the relationship between theoretical knowledge at this stage of fire and its application in firefighting operations. To solve this problem, a model was developed to determine the relationships between the effects on firefighters’ health during fire overhaul using structural equation modeling (SEM) in the building. To develop this model, dangerous points were first identified, categorized and weighted, and then the effect of each of these points and their interactions was determined.

This paper contributes to the literature by identifying hazardous points and investigating their impacts on firefighters’ health using the SEM method. This study identifies 17 points that can be traversed through three paths.

Hazardous points could affect the success of the fire overhaul operation. Adopting a flexible model during this stage can enhance safety.

The results of this study can be used to rank and classify fire overhaul hazards in buildings and to increase firefighters’ safety and other related factors.

The purpose of this paper is to identify the major public–private partnership (PPP) risks in infrastructure projects in Afghanistan and explain the extent to which extent the identified risks can shed light on the PPP implementation study in general.

Initially, 78 risks were identified through considering international laws and regulations, criteria for using PPP in developing and underdeveloped countries, and case studies. Later, 23 of the more important risks were determined, ranked and classified into five main groups.

Finally, these risks were adapted with some investigations conducted in the PPP field. Although some of the risks identified in this survey are unique to Afghanistan, this research can be used to develop the application of PPP generally.

PPP is one possible solution to finance infrastructure projects. However, there are a lot of risks, which make this method inefficient in Afghanistan. Therefore, identifying the risks of PPP can play an important role in improving the infrastructures of Afghanistan.

Merging and updating project information and recording changes can give dynamic risk identification at all stages of the project. The main purpose of this research is to create an integration in construction information.

In this research, the 5D model was prepared and then all model information was entered into the database designed in SQL Server, the project report tables were coded, and finally, a database with four groups of information was ready for risk identification.

Creating an integrated risk identification platform reduced rework and time and cost control and change management, which were positive effects of risk identification at the right time.

In order to identify risks, creating multilateral databases whose information integration enables timely completion of the project and compliance with the planning.

This research is the basis for identifying project risks within the framework of building information modeling and can be an effective contribution to increasing the risk-taking efficiency of the project.

As a matter of fact, marked time and cost are terrific motivating forces for the building industry, materializing with identify risk well-time. In any case, identifying risk engaged with all of the dimensions depend on this industry.

The purpose of this research is to identify the effective criteria and determine the required infrastructure for the repair of drilling rigs.

The research was carried out through questionnaires and interviews with experts, including consultants, contractors and operators. A long list of the required infrastructure, dividing into three groups of vital, necessary and support, was prepared and compared with the productivity criteria.

The results show that it is better to prepare and upgrade the vital, necessary and supportive equipment in the shipyards, including refrigeration workshop, cofferdam for repairing spudcans and residential and educational places.

These results are helpful for the industries working on jack-ups and the countries having similar conditions to enable them to use their assets in an optimum way.

Oil drilling rigs' repair and maintenance (R&M) services are essential because of affecting the economy. Furthermore, about 25% of Iran’s oil drilling rigs are jack-up, needing overhauls every five years. Other research has investigated how to repair jack-ups, their incidents, their R&M industry market and, only in some cases mentioned, cost and time criteria. Therefore, it is necessary to identify the criteria and study the infrastructures in the shipyards.

Because the construction industry is one of the largest waste producers, understanding the primary reasons for waste production is essential. The goal of this study is to identify the major causes of waste production over the project life cycle in Iran's construction industry and to propose effective solutions based on modern technologies like BIM.

After identifying the primary causes of construction and demolition waste production through interviews and literature analysis, solutions based on building information modeling (BIM) were provided. Then, using questionnaires and exploratory factor analysis (EFA), the areas impacting waste reduction were found.

The findings suggest that “prefabrication” is the best approach for improving time and quality, while “detection and prediction of errors in the design and construction phases” is the most cost-effective technique for addressing cost and environmental issues.

Cost, time, quality and environmental concerns may all be influenced by effective waste management throughout the project life cycle. Furthermore, utilizing state-of-the-art technologies has far-reaching implications for reducing material waste, resulting in more environmental-friendly construction.

This study examines the mechanisms and conditions that influence how transformational leadership affects project success through the lens of social information processing theory.

A dual-stage moderated mediation model was proposed wherein the effect of transformational leadership on project success is mediated by team building, and empowering climate moderates the direct and indirect effects at both the first and second stages. The model was tested based on 370 survey responses of project management practitioners from Pakistan's IT industry. The measurement model was analyzed using confirmatory factor analysis (CFA). Moderated mediation analyses were conducted using Hayes' PROCESS macro.

The findings suggest that team-building partially mediates the effect of transformational leadership on project success. Furthermore, the conditional indirect effect of transformational leadership on project success via team-building is strengthened at both the first and second stages at higher levels of empowerment climate.

It is recommended that project managers and project-intensive organizations should strive to cultivate an empowerment climate to fully realize the beneficial effects of transformational leadership behaviors in enhancing positive team outcomes and, consequently, overall project performance.

This study broadly contributes to the literature on the influence of project managers' leadership styles on project outcomes. Specifically, we elucidate the role of empowerment climate as an important boundary condition that enhances the beneficial effects of transformational leadership. Furthermore, we extend the application of social information processing theory to the context of projects.

This paper aims to develop a decision-making model to analyze and select the most appropriate lean technique (LT), considering success factors to improve site management and reduce waste in the construction phase.

A comprehensive literature review identified six LTs and the 11 most critical factors affecting the efficiency of the construction phase. Then, the appropriateness of these LTs to improve the identified factors were assessed using the analytic hierarchy process. At last, a sensitivity analysis of the results was performed to validate the findings.

The results show that the most effective LT to improve success factors in the construction phase is “Daily Huddle Meetings”, and the most critical factor with the greatest impact on LT selection is determined to be “Efficient Construction Management”.

Few studies have evaluated the suitability of LTs in terms of construction success factors (CSFs). Hence, given the vital role of the construction phase in the whole project life cycle and the impact of LTs in improving the productivity of this phase, this research investigates the correlation between LTs and CSFs to promote efficient site management.

Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.

The authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.

The content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.

This research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.