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Flood vulnerability is a complex concept involving the interactions between environment, social and economic dimensions. Indicator‐based vulnerability assessment is widely used in vulnerability studies to summarise complexity and multidimensionality issues to gauge the level of vulnerability. A set of 21 environmental and socio‐economic indicators is used to quantitatively assess the three factors of vulnerability, namely exposure, susceptibility and resilience to flood at the subnational level. The construction of the vulnerability index involved the selection of indicators, their normalisation, weightage and aggregation to a final index. In addition to the Flood Vulnerability Index, three sub‐indices namely Exposure Index, Susceptibility Index and Resilience Index were generated. Based on composite indicator approach, the vulnerability of the states in Malaysia was categorised from very low to very high. The source of vulnerability is due not only to the environmental exposure to flood hazard but also contributed by the internal status of the socio‐economic factors within the vulnerable systems.

This paper discusses a multifaceted approach to developing specific and general climate resilience in a state transportation system that focuses on organizations and physical infrastructure. The paper focuses on resilience building to the dynamically evolving climate-related threats and extreme events in a transportation agency. This paper aims to enable agencies to understand better how their systems are exposed to different hazards and provide the information necessary for prioritizing their assets and systems for resilience improvement.

This paper leverages long-term climate hazard databases, spatial and statistical analyses and nonprobabilistic approaches for specific and general climate resilience improvement. Spatial and temporal variability assessments were conducted on granular historical records of exposure obtained from Spatial Hazards Events and Losses Database for the United States data set to identify emerging hot spots of exposure. These were then assessed in combination with various asset specific vulnerability parameters, presented with examples of pavements and bridges. Specific metrics were obtained for the various aspects of vulnerability in the context of a given asset to estimate the overall vulnerability. A criticality-vulnerability matrix was then developed to provide a prioritization model for transportation systems.

This paper provides insights into the evolving nature of exposure, vulnerability and risk assessments and an approach to systematically account for climate change and the uncertainties associated with it in resilience planning. The Multi-Hazards Exposure, Vulnerability and Risk Assessment tool presented in this paper conducts climate hazard exposure, vulnerability and risk analysis on pavements, bridges and culverts and can be applied by any transportation agency.

This study does not address operational aspects of the transportation system nor include future climate scenario data, but uses the historical records available at hand for resilience planning. With better climate projection data available in the future, the approach should be enhanced by leveraging scenario-based planning.

This paper is of potential value to practitioners and researchers interested in developing resilience building capabilities to manage the effects of climate-related hazards and extreme events as well as unknown threats on infrastructure and organizational performance.

This paper bridges an important gap in infrastructure resilience approaches by systematically accounting for the dynamic nature of climate change and the system level context of vulnerability beyond the physical condition of assets.

This study aimed to address the underexplored domain of organisational vulnerability, with a specific focus on understanding how vulnerability is understood in organisations and the underlying pathways leading to vulnerability.

This study utilised a narrative literature review methodology, using Google Scholar as the primary source, to analyse the concepts of organisational vulnerability in the context of disaster risk studies. The review focused on relevant documents published between the years 2000 and 2022.

The analysis highlights the multifaceted nature of organisational vulnerability, which arises from both inherent weaknesses within the organisation and external risks that expose it to potential hazards. The inherent weaknesses are rooted in internal vulnerability pathways such as organisational culture, managerial ignorance, human resources, and communication weaknesses that compromise the organisation’s resilience. The external dimension of vulnerability is found in cascading vulnerability pathways, e.g. critical infrastructure, supply chains, and customer relationships.

As the frequency and severity of disasters continue to increase, organisations of all sizes face heightened vulnerability to unforeseen disruptions and potential destruction. Acknowledging and comprehending organisational vulnerability is a crucial initial step towards enhancing risk management effectiveness, fostering resilience, and promoting sustainable success in an interconnected global environment and an evolving disaster landscape.

The purpose of this paper is to develop a comprehensive understanding of the public safety risks of international construction projects (ICPs) from the perspective of threat and vulnerability. A novel and comprehensive risk assessment approach is developed from a systemic perspective and applied to the Belt and Road Initiative (BRI) to improve the public safety risk management strategy for ICPs in BRI.

First, a public safety risk indicator system was constructed from the two dimensions, namely threat and vulnerability. Next, an integrated measurement model was constructed by combining the Genetic Algorithm-Backpropagation (GA-BP) neural network, fuzzy comprehensive evaluation method and matter-element extension (MME) method. Data from 49 countries involved in the BRI, as well as five typical projects, were used to validate the model. Finally, targeted risk prevention measures were identified for use at the national, enterprise and project levels.

The findings indicate that while the vulnerability risks of typical projects in each region of the BRI were generally low, threat risks were high in West Asia and North Africa, Commonwealth of Independent States (CIS) countries and South Asia.

First, the structure of the public safety risk system of ICPs was analyzed using vulnerability and system theories. The connotation of public safety risk was defined based on two dimensions, namely threat and vulnerability. The idea of measuring threat risk with public data and measuring vulnerability risk with project data was clarified, and the risk measurement was integrated into the measurement results to help researchers and managers understand and systematically consider the public safety risks of ICPs. Second, a public safety risk indicator system was constructed, including 18 threat risk indicators and 14 vulnerability risk indicators to address the gaps in the existing research. The MEE model was employed to overcome the problem of incompatible indicator systems and provide stable and credible integrated measurement results. Finally, the whole-process public safety risk management scheme designed in this study can help to both provide a reference point for the Chinese enterprises and oversea contractors in market selection as well as improve ICP public safety risk management.

This study aims to develop a measurement model of the halal supply chain resilience (HSCRES) index, which represents the capability of the supply chain (SC) to handle disruption caused by halal risks. A case study is conducted to apply the HSCRES index in the halal chicken SC in Yogyakarta, Indonesia, to test the proposed methodology.

A literature synthesis was conducted to establish the main capability and vulnerability factors and their relevant indicators. The indicators were validated using the confirmatory factor analysis approach. Then, applying an analytical hierarchy process involving ten experts – practitioners and academicians – the weight of each indicator was obtained. A survey of 20 employees of slaughterhouses, 35 sellers and 100 consumers was conducted to obtain the value of each indicator. Finally, the HSCRES index was calculated by comparing the total weighted capability value to vulnerability.

The results revealed that the resilience of halal chicken SC in Yogyakarta is at a good level, with an index of 3.459, and “halal team” is the most significant indicator. The findings also revealed several capabilities that need improvement, including dedicated halal facilities, employees’ halal competence and halal regulation. However, the lack of a halal certification board, lack of management commitment and packaging contamination were found as vulnerability indicators that need to be reduced.

The case of this study is limited to the halal chicken SC in Yogyakarta, Indonesia. As a consequence, the obtained results are limited to a specific context. The application of this method to different areas and objects enables the establishment of different capability and vulnerability indicators.

The halal resilience measurement model offers a comprehensive understanding of the strengths and weaknesses of the HSC. The findings can help stakeholders improve preparedness for halal risks, deal with halal risks better and recover more quickly. Measuring the HSCRES index can be particularly useful for policymakers in developing evidence-based strategies to increase HSCRES.

The current study is the first to define and classify the contributing halal resilience attributes and also to calculate the halal resilience index.

The purpose of this paper is to set forth a rigorous methodology for building owners and managers to conduct a vulnerability assessment of their facilities. Such a process would facilitate the use of remediation measures to limit the loss of life and property during a disaster, whether natural or man‐made.

The author sets forth nine criteria to conduct a vulnerability assessment, along with a six‐point rating system. The criteria selected are: the level of visibility, the criticality of the site to the jurisdiction in which it is located, the impact of the site outside of the jurisdiction in which it is located, access to the site, size hazards, building height, type of construction, site population capacity, and the potential for collateral mass casualties. This evaluative process leads to five site vulnerability ratings, ranked as follows: negligible, low, medium, high, and critical.

Property owners and building managers can use this process to assess the vulnerability of their facilities and, based on this process and the resulting vulnerability rating, initiate common‐sense remediation measures to limit the loss of life and property, should a disaster occur.

The field of vulnerability assessment is a new discipline within the evolving subject of homeland security. Other methodologies will be needed in the future to determine the vulnerability of other public and private facilities, such as ports, airports, transportation centers, hospitals, colleges and universities, and other vital public and private facilities.

This research provides a framework for future research on the topic of vulnerability assessments. Refinements and modifications can be made to the proposed methodology (both to the vulnerability assessment criteria and to the vulnerability ratings).

This paper provides original research and sets forth a new methodology for conducting vulnerability assessments of public and private buildings.

To develop a decision model supporting employee involvement in industrial vulnerability reduction.

A synthesis review of some of the relevant extant literature on technological/industrial vulnerability, and their application within a normative decision‐making model (i.e. the “Vroom‐Yetton model”).

The insights on vulnerability drawn from the literature are highly amenable to a systematic decision‐making model for employee involvement. Various aspects of vulnerability, specifically with regard to substantial, social and temporal dimensions may be included in such a model.

New insights about the context‐dependent aspects of vulnerability are offered by considering these within a contingency decision model. This suggests that vulnerability categories are not absolute, but have to be assessed in relation to a specific decision‐making framework.

The developed model provides a way of weighting various dimensions of vulnerability and making more appropriate decisions regarding leadership style in a range of circumstances.

While decision models exist for assessing risk in organizations, no contingency model for employee involvement in vulnerability assessment has been presented to date.

Climate change and the COVID-19 pandemic are complex and have multifaceted effects on countries in an unpredictable and unprecedented manner. While both COVID-19 and the climate crisis share similarities, they also have some notable differences. Being both systemic in nature with knock-on and cascading effects that propagate due to high connectedness of countries, COVID-19, however, presents imminent and directly visible dangers, while the risks from climate change are gradual, cumulative and often distributed dangers. Climate change has more significant medium and long-term impacts which are likely to worsen over time. There is no vaccine for climate change compared to COVID-19. In addition, those most affected by extreme climatic conditions have usually contributed the least to the root causes of the crisis. This is in fact the case of island economies. The chapter thus investigates into the vulnerability and resilience of 38 Small Islands Developing States (SIDs) to both shocks. Adopting a comprehensive conceptual framework and data on various indices from the literature and global databases, we assess the COVID-19 and climate change vulnerabilities of SIDs on multiple fronts. The results first reveal a higher vulnerability across all dimensions for the Pacific islands compared to the other islands in the sample. There is also evidence of a weak correlation between climate change risk and the COVID-19 pandemic confirming our premise that there are marked differences between these two shocks and their impacts on island communities.

Developing countries such as the Philippines depend greatly on their natural resources and ecosystem services. However, the capacity to sustain these services is currently being pressured by various environmental hazards, mainly brought about by climate change. Thus, it is imperative to assess the vulnerability of the environment so that effective ecosystem-based management strategy can be developed to improve the sustainability of these services. This chapter presents a geospatial-based method in assessing the vulnerability of watersheds in the country to various environmental hazards. This model is called the Geospatial-Based Regional Environmental Vulnerability Index for Ecosystems and Watersheds, or, in short, the GeoREVIEW model. GeoREVIEW is composed of 21 indicators and each indicator is evaluated using a scale of 1 to 5. A scale of 1 indicates low vulnerability while a scale of 5 signifies high vulnerability. Finally, to determine the vulnerability level of the area, its overall vulnerability point (OVP) is calculated. This model is utilized to evaluate the vulnerability of two significant ecosystems near Metro Manila – the La Mesa Watershed (LMW) and the Mt. Makiling Forest Reserve (MFR). Based on the assessment, it was found that both are already classified as “at risk” levels. However, MFR (OVP=55.24) is found to be less vulnerable than LMW (OVP=62.52). The results from this assessment can be used to improve the management of these areas and can also aid in targeting policy interventions associated with climate change.

Assessing project criticality in a project portfolio (PP) is of great practical significance to improve robustness from damage. While project criticality assessment has increased diversity in approaches, the understanding of vulnerable project impacts is still limited. To promote a better understanding of assessing project criticality, a vulnerability measurement model is constructed.

First, integrating the tasks, projects and corresponding relationships among them, a project portfolio network (PPN) is constructed. Second, the project's vulnerability is measured by combining the topological structure and functional attributes. Third, project criticality is assessed by the vulnerability measurement results. Lastly, the proposed model is applied in a numerical example to illustrate its suitability and effectiveness.

For academia, this study provides a novel perspective on project vulnerability measurement and expands project criticality assessment tools. For practitioners, the straightforward model provides an effective tool for assessing project criticality and contributes to enhancing project portfolio management (PPM).

The impact of the task on the project is considered in this study. Topological structure and functional attributes are also integrated for measuring project vulnerability due to the impact of random attacks in an uncertain environment, providing a new perspective on the requirements of project criticality assessment and the measurement of project vulnerability.