Application of Reliability Analysis for Risk Ranking in a Levee Reconstruction Project

Big Data in Criteria Selection and Identification in Managing Flood Disaster Events Based on Macro Domain PESTEL Analysis: Case Study of Malaysia Adaptation Index

The impact of Big Data (BD) creates challenges in selecting relevant and significant data to be used as criteria to facilitate flood management plans. Studies on macro domain criteria expand the criteria selection, which is important for assessment in allowing a comprehensive understanding of the current situation, readiness, preparation, resources, and others for decision assessment and disaster events planning. This study aims to facilitate the criteria identification and selection from a macro domain perspective in improving flood management planning. The objectives of this study are (a) to explore and identify potential and possible criteria to be incorporated in the current flood management plan in the macro domain perspective; (b) to understand the type of flood measures and decision goals implemented to facilitate flood management planning decisions; and (c) to examine the possible structured mechanism for criteria selection based on the decision analysis technique. Based on a systematic literature review and thematic analysis using the PESTEL framework, the findings have identified and clustered domains and their criteria to be considered and applied in future flood management plans. The critical review on flood measures and decision goals would potentially equip stakeholders and policy makers for better decision making based on a disaster management plan. The decision analysis technique as a structured mechanism would significantly improve criteria identification and selection for comprehensive and collective decisions. The findings from this study could further improve Malaysia Adaptation Index (MAIN) criteria identification and selection, which could be the complementary and supporting reference in managing flood disaster management. A proposed framework from this study can be used as guidance in dealing with and optimising the criteria based on challenges and the current application of Big Data and criteria in managing disaster events.

An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events

This paper provides an overview of multi-criteria decision analysis (MCDA) applications in managing water-related disasters (WRD). Although MCDA has been widely used in managing natural disasters, it appears that no literature review has been conducted on the applications of MCDA in the disaster management phases of mitigation, preparedness, response, and recovery. Therefore, this paper fills this gap by providing a bibliometric analysis of MCDA applications in managing flood and drought events. Out of 818 articles retrieved from scientific databases, 149 articles were shortlisted and analyzed using a Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) approach. The results show a significant growth in MCDA applications in the last five years, especially in managing flood events. Most articles focused on the mitigation phase of DMP, while other phases of preparedness, response, and recovery remained understudied. The analytical hierarchy process (AHP) was the most common MCDA technique used, followed by mixed-method techniques and TOPSIS. The article concludes the discussion by identifying a number of opportunities for future research in the use of MCDA for managing water-related disasters.

Risk Allocation in Unsolicited and Solicited Road Public-Private Partnerships: Sustainability and Management Implications

Risk allocation plays a crucial role in the successful development of public-private partnership (PPP) projects. However, despite being an important topic for scholars and practitioners, the existing literature does not provide sufficient evidence on how managing risks in solicited (SP) and unsolicited (USP) road PPP projects, and subsequently, on what the sustainability implications are for such managerial processes. This study aims to extend risk allocation studies by analyzing contracts in Chilean highway PPPs over the last decade based on a systematic content analysis framework and case study data. The framework was developed through line-by-line coding of contract provisions associated with risk-related issues, and data were collected from semi-structured interviews with Chilean PPP practitioners. Results show that, although the majority of risks are either shared or transferred to the private party in most contracts, there are important variations in the way allocation procedures are implemented for SPs and USPs. Contracts analyzed revealed that risk arrangement mechanisms have usually focused on the economic dimension of sustainability without fully incorporating social and environmental considerations, increasing protests in the long-term. Conclusions indicate that risk allocation procedures and sustainability considerations are highly dependent on project-specific features and contextual factors. Overall, the analysis uncovers that the level of autonomy given to the private sector in both SPs and USPs has contributed to properly manage technical and economic risks, but has failed to successfully allocate social and environmental concerns.