A framework to evaluate systemic risks of inland waterway infrastructure. (December 2022)

• Record Type: Journal Article
• Authors: Wehrle, Rebecca; Wiens, Marcus; Schultmann, Frank
• Is Part Of: Progress in disaster science. Volume 16(2022)
• Publication Date: 2022-12
• Subjects: Risk -- Waterways -- Empirical -- Input-output-model -- GIS; Disasters -- Periodicals; Disaster relief -- Planning -- Periodicals; Emergency management -- Periodicals; 363.3405
• DOI: 10.1016/j.pdisas.2022.100258
• Languages: English
• ISSNs: 2590-0617

Abstract

Abstract: Purpose: This paper aims to enable the evaluation of systemic risks resulting from missing or misallocated repair measures of inland waterways infrastructure. In this context, cascading effects and risks arising from interdependent Critical Infrastructures (CIs) are of particular interest. The systemic risk assessment is implemented as a GIS-based tool to support decision makers in a risk-based maintenance strategy. Methodology: A framework based on a chain of interdependent risks of different levels of the system represents the base model. The interlinkages of industries are quantified by Input-Output-Modeling and the spatial dimension is implemented as a GIS-based decision tool. Findings: From an analytical perspective, the close interconnection of the systems' levels (subsystems) under consideration can be traced. The results highlight critical buildings leading to potentially serious impacts on industry and population if the infrastructure elements are not maintained. Research limitations: This research is focused on the framework and impacts on interdependent CIs, while work on the vulnerability of constructions and population protection, which complements our approach, is explored in more depth elsewhere. Practical implications: Maintenance of infrastructure elements should be more risk-based than time-oriented to avoid potential damage and reduce impacts. Originality: We examine the interconnected subsystems construction, industry and population in an aggregated risk framework to quantify risks stemming from complex infrastructure interdependencies with waterways as rarely explored infrastructure in this context. The implementation of a decision support tool for infrastructure operators as risk dashboard enables the integration of the approach into everyday infrastructure risk management. Highlights: Holistic risk assessment of waterway infrastructure as system-of-systems. Comprising the subsystems building, network, industry and population. Analysis of impact of deteriorating infrastructure on power and water supply. GIS-based risk-dashboard as decision support tool.