Challenges and Opportunities for Building Information Modeling in Facility Management: A Case Study from Egypt

Engineering Technology & Applied Science Research, Journal Year: 2025, Volume and Issue: 15(1), P. 19756 - 19766

Published: Feb. 2, 2025

The objective of this study is to evaluate the obstacles encountered when using Building Information Modeling (BIM) in Facility Management (FM) within context Egypt. research methodology employs a case approach, single investigate phenomenon interest. A comprehensive literature review was conducted, resulting identification 42 challenges BIM usage FM. These were classified into five primary groups and formed basis for five-point Likert scale questionnaire, which utilized collect insights from FM professionals survey participants included facilities maintenance managers, as well employees. data collected also analyzed deploying Impact Effect Index (EI) method. Furthermore, EI findings indicated that difficulties integration building system design with BIM, establishment handover requirements, specifications between securing accurate reliable data. category highest related implementation identifies significant affecting adoption Egypt, thereby promoting development strategies. Consequently, hold practical importance various stakeholders construction sector

Language: Английский

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Contracting Challenges in Post-disaster Reconstruction in Developing Countries: Evidence from Nepal Reconstruction

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105428 - 105428

Published: March 1, 2025

Language: Английский

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Disaster Risk Reduction and Management With Emerging Technologies

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 71 - 110

Published: April 17, 2025

This chapter explores the role of emerging technologies in disaster risk reduction and management (DRRM), focusing on integration Internet Things (IoT), Artificial Intelligence (AI), Data Analytics to enhance urban resilience. IoT-enabled sensors smart infrastructure provide real-time data for early warning systems, monitoring, emergency response. AI-driven predictive analytics enhances assessment, resource allocation, post-disaster recovery, while enables integration, visualization, scenario planning. Despite their potential, challenges like quality, scalability, cybersecurity, ethical concerns must be addressed. The future Disaster Risk Reduction Management (DRRM) will depend incorporation modern technology, increased public involvement, global cooperation, allowing cities develop more intelligent, secure, sustainable settings.

Language: Английский

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Toward Identifying and Analyzing Key Risk Factors and Their Interrelationships in Post-Disaster Reconstruction: A Comprehensive Study of Project Challenges and Case Analysis

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3696 - 3696

Published: April 19, 2025

Post-disaster reconstruction projects are critical for restoring communities and infrastructure, yet they fraught with complex risks interdependent challenges. This study aims to identify analyze key risk factors in post-disaster reconstruction, focusing on their interrelationships impacts project outcomes. The research integrates a comprehensive literature review experts’ perceptions validate primary factors, the aim of designing hypothetical interrelationship. employs mixed-methods approach, including an empirical survey collect data from experienced stakeholders, factor analysis (EFA), structural equation modeling (SEM), seven resource-, environmental-, financial-, management-, socioeconomic-, technical-, organizational-related which extracted, interrelationship model is further examined validated using SPSS AMOS V24. A case was conducted examine how these interact real-world settings. After consulting recovery participants, results indicate significant influence identified context project. While methods offer strong insights, this limited by case-specific factors. Advanced statistical like SEM provides detail but may not be fully generalizable due local variations conditions, stakeholder dynamics, processes. Nevertheless, providing actionable insights tools, serves as guide policymakers, managers, community leaders, helping them predict develop appropriate strategies improving resilience efficiency future efforts.

Language: Английский

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Disaster Resource Management

ACS Chemical Health & Safety, Journal Year: 2024, Volume and Issue: 31(6), P. 423 - 425

Published: Oct. 28, 2024

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Developing a community responsive resilient contractor selection model for post-disaster reconstruction projects: a build back better approach

Engineering Construction & Architectural Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 12, 2024

Purpose This study aims to develop a resilient contractor selection model that also considers community concerns in post-disaster reconstruction projects using “build-back better (BBB)” approach. Design/methodology/approach At the outset, comprehensive literature review was conducted model. During this review, set of criteria were identified. Focus group discussion (FGD) sessions then organized revise and refine identified criteria. As result, final list 39 developed. Next, Bayesian best worst method (BBWM) determine weights each criterion. Finally, proposed validated by conducting hypothetical case fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (fuzzy VIKOR) analysis. Moreover, sensitivity analysis examine effect maximum utility (v) value Findings The results emphasized contractors cannot be selected merely based on “technical” “economic” factors. Instead, other aspects, namely “organizational managerial,” “environmental sustainability,” “resource management procurement” “end-user,” should taken into consideration. Second, factors related financial strength, experience, risk management, energy efficiency, resource availability assurance particularly deemed most significant, needing detailed attention decision-makers. Lastly, revealed has significant potential systemize processes projects. Originality/value Disasters, which are increasing frequency severity today, devastate community’s environmental, economic social conditions. Post-disaster commence rapidly after disaster for recovery. However, poor procedures these trigger time cost overruns. Unlike traditional construction projects, distinctive due uncertainties caused disasters prioritization concerns. Therefore, way can meet specific needs Otherwise, resilience built environment satisfaction hardly enhanced. Accordingly, is one first attempts It believed developed will make essential theoretical practical contributions domain.

Language: Английский

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Enhancing Organizational Resilience: Sustainable Development Scenarios Incorporating Disaster Impacts and AI Tools

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11147 - 11147

Published: Dec. 19, 2024

The intensification of human activities and the escalating impact climate change have increased probability disasters, making it important to develop sustainable development scenarios that consider potential disaster consequences. However, disasters are indirectly represented in 17 Sustainable Development Goals (SDGs) often overshadowed by other topics. This study focuses on effects context development. We conducted a sociological survey with 30 respondents from Lithuanian companies, half which were large manufacturing enterprises, found only 37% had encountered management issues, similar proportion actively developing related scenarios. Although external stakeholders participate, 57% indicated their company acts independently these matters. Large companies rated preparedness higher (3.5/5) than SMEs (2.9/5) or micro-companies (2.8/5). Rapid response liquidation consequences was deemed more (4.5/5) risk resilience-building (3.8/5). Using correlation mutual information analyses, we uncovered linear non-linear dependencies, showing psychological stress among employees negatively correlates importance assigned SDGs during disasters. Additionally, demonstrated how generative AI tools, such as ChatGPT, can transform results into tailored These findings provide practical insights methodologies for enhancing organizational resilience sustainability, even limited resources.

Language: Английский

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Sustainable Waste Management Strategies for Earthquake Debris: Lessons from the 2008 China and 2023 Türkiye-Syria Disasters

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: unknown, P. 105153 - 105153

Published: Dec. 1, 2024

Language: Английский

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