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This study aims at conducting a systematic literature review (SLR) to identify the critical success factors (CSFs) for solar home systems (SHSs) implementation in public housing projects.

This study is based on an SLR to identify the CSFs for SHS implementation in public housing. It reviewed published literature between 2000 and 2021. A summative content analysis approach is followed to analyze the qualitative content of published literature on CSFs for SHSs implementation in public housing.

The review outcomes identified a total of 44 CSFs, which are classified into six main fundamental categories, including political, financial, technical, social, marketing and environmental. The results indicated that government support is the most significant CSF for SHS implementation in public housing, followed by installation quality, maintenance and monitoring and effective policies and legal framework. The published literature mostly agrees that the CSFs are regionally specific, and stakeholders play an essential role in defining SHS programs’ indicators and success factors.

Lack of success and discontinuity of some SHS programs are deterring, especially for governments initiatives. Identifying CSFs associated with the success of some programs and understanding why other programs were less successful are essential requirements for improving the success of future projects. This study is intended to provide governments, policy-makers and program implementers with a list of the most significant CSFs for use when developing a success model to evaluate and measure the potential for investment in SHSs in the public housing sector.

This study aims at introducing a method based on the failure mode, effects and criticality analysis (FMECA) to aid in selecting the most suitable formwork system with the minimum overall cost.

The research includes a review of the literature around formwork selection and analysis of data collected from the building construction industry to understand material failure modes. An FMECA-based model that estimates the total cost of a formwork system is developed by conducting a two-phased semi-structured interview and regression and statistical analyses. The model comprises material, manpower and failure mode costs. A case study of fifteen buildings is analysed using data collected from construction projects in the UAE to validate the model.

Results obtained indicate an average accuracy of 89% in predicting the total formwork cost using the proposed method. Moreover, results show that the costs incurred by failure modes account for 11% of the total cost on average.

The analysis is limited to direct costs and costs associated with risks; other costs and risk factors are excluded. The proposed framework serves as a guide to construction project managers to enhance decision-making by addressing the indirect cost of failure modes.

The research proposes a novel formwork system selection method that improves upon the subjective conventional selection process by incorporating the risks and uncertainties associated with the failure modes of formwork systems into the decision-making process.

This paper investigates thermal mass performance (TMP) in hot climates. The impact of using precast concrete (PC) as a core envelope with different insulation materials has been studied. The aim is to find the effect of building mass with different weights on indoor energy consumption, specifically cooling load in hot climates.

This research adopted a case study and simulation methods to find out the efficiency of different mass performances in hot and humid climate conditions. Different scenarios of light, moderate and heavyweight mass using PC have been developed and simulated. The impact of these scenarios on indoor cooling load has been investigated using the integrated environment solution-virtual environment (IES-VE) software.

The results showed that adopting a moderate weight mass of two PC sheets and a cavity layer in between can reduce indoor air temperature by 1.17 °C; however, this type of mass may increase the cooling demand. On the other hand, it has been proven that adopting a heavyweight mass for building envelopes and increasing the insulation material has a significant impact on reducing the cooling load. Using a PC Sandwich panel and increasing the insulation material layers for external walls and thickness by 50 mm will reduce the cooling load by 15.8%. Therefore, the heavyweight mass is more efficient compared to lightweight and moderate mass in hot, humid climate areas such as the UAE, in spite of the positive indoor TMP that can be provided by the lightweight mass in reducing the indoor air temperature in the summer season.

This research contributes to the thermal mass concept as one of these strategies that have recently been adopted to optimize the thermal performance of buildings and developments. Efficient TMP can have a massive impact on reducing energy consumption. However, less work has investigated TMP in hot and humid climate conditions. Furthermore, the impact of the PC on indoor thermal performance within hot climate areas has not been studied yet. The findings of this study on TMP in the summer season can be generated in all hot climate zones, and investigating the TMP in other seasons can be extended in future studies.

This study aims to identify the critical success factors (CSFs) in the implementation of the public–private partnerships (PPPs) in the United Arab Emirates’ (UAE) affordable housing sector.

A questionnaire survey was conducted to assess 17 CSFs for PPP projects derived from previous international and local studies. The collected data were analyzed using the relative importance index technique to establish the most significant factors based on feedback from 48 respondents from the public and private sectors.

The most identified CSFs were good governance, government guarantees, commitment and responsibility of the public and private sectors, favorable and efficient legal frameworks, political support and stability, and demand for and the debt-paying ability of the project.

There has been rapid momentum in the UAE and other Gulf Cooperation Council (GCC) countries towards engaging the private sector in the provision of infrastructure and housing after increased pressure on government budgets and falling oil prices. Thus, this study encourages strong consideration of the highest-ranked CSFs in the absence of any prior experiences or studies. On a broader scale, these CSFs are an effective policy tool for the GCC countries, which share similar contexts.

This paper represents the first empirical study in the GCC region and the UAE on the CSFs for PPPs in affordable housing, which is experiencing growing demand in the region to overcome the large deficit in housing supply.

A bridge network is a major capital asset that requires continuing investment in order to maintain the network within acceptable limits of safety and serviceability. Ranking and prioritizing procedures have been widely used by several departments of transportation to select bridges for intervention and to distribute the available funds among competing projects. The available ranking and prioritizing procedures have various drawbacks, and an improved, rational ranking and prioritizing procedure is needed. The paper aims to address these issues.

The requirements and characteristics of an innovative ranking and prioritizing method are identified during interviews with professionals involved in bridge management. Based on these requirements, multi‐attribute utility theory (MAUT) is selected to develop the method. A technique to develop utility functions based on the analytical hierarchy process (AHP) is discussed. A hierarchy structure that captures the decision‐making elements is presented. A case study is used to demonstrate the applicability and the validity of the proposed ranking method.

The research findings have identified the decision objectives and the criteria essential to rank and prioritize bridge projects, and these are included within a framework to rank and prioritize bridge projects while incorporating experts' input in the process.

The proposed framework includes weights for the various objectives and recommends utility functions to evaluate the different attributes. In addition, the framework provides flexibility to adjust the weights and to modify the utility functions to reflect network‐specific characteristics. This method can be used by departments of transportation to rank bridges in a network, even incorporating conflicting criteria, and it can be integrated within an already implemented bridge management methodology.

Ranking and prioritizing projects are essential steps in bridge management. Current methods for ranking and prioritizing bridge projects are associated with various drawbacks. This paper proposes an innovative ranking method for bridge networks, based on MAUT. This theory provides flexibility for the decision makers in expressing their degree of satisfaction with each bridge attribute.