Search

Planning comes first and is considered the most important stage in managing construction projects. This research aims to develop a Preconstruction Plan Index (PPI) as a subjective tool to assess the efficiency of the project plan prior to construction. The Delphi Technique was used to identify the most important factors based on the preferences of a panel of experts. The Analytical Hierarchy Process (AHP) assigned relative weights to 15 selected factors. Based on a proposed rating scale for each factor, the percentage of error in the plan is identified and a rating of the plan is obtained. The motive for developing PPI is to help construction practitioners assess the suitability of the proposed plan for the specific project requirements. Evaluation of the proposed PPI was achieved using two real case studies, for which results showed that the suggested PPI provided a satisfactory assessment tool for preconstruction planning.

This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a holistic understanding of the impact of KSFs on BIM-DT adoption. The research aims to identify KSFs and parameters, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and offer practical insights into the findings. The results revealed the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. The findings also revealed that the readiness of the organization to adopt the technology, availability of technology operators, availability of standards and codes for the new technology, availability of knowledge, skills, and competencies to adopt the technology, and availability of funds and financial investment are the top-ranked KSFs contributing to the successful adoption of BIM-DT.

Excessive irrigating water that has not been adequately drained may cause more water to enter the crop root zone than is necessary. As a result, issues with increasing water table levels, waterlogging, and salinity get worse and cause crop productivity losses. Agricultural drainage water management strategies (ADWMS) can be used to protect the quality of groundwater, guarantee that crops have better moisture conditions, and provide irrigation water by reusing agricultural water drainage and using sub-irrigation practices. In order to decrease the effects of poor drainage, mitigate climate change, conserve the environment, and achieve food security, this study proposes a framework for choosing the most effective ADWMS in Egypt’s Nile Delta as well as the new lands. The value engineering approach is used to ensure the strategy’s functionality and to present some innovation in the process of developing alternative solutions that are financially evaluated using the life cycle cost technique. According to the study results, the most effective strategy (ADWMS-3) prioritizes improving drainage effectiveness, controlling groundwater table rise, and providing another irrigation water source while maintaining environmental protection. This strategy encompasses the use of a control drainage system, timing of fertilizer application, regulating groundwater table variation, and using sub-irrigation practices. ADWMS-3 achieves the highest values for the technical score of 8.06 and the value index of 18.59. This study advances the understanding of the topic by providing policymakers with a tool to (i) evaluate ADWMS and (ii) incorporate the added value and functionality into their policies regarding agricultural drainage water.