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A major consequence of global environmental change is projected to be the alteration in flood periodicity, magnitude, and geographic patterns. There are a number of extant methods designed to help identify areas vulnerable to these consequences, the construction of composite vulnerability indices prominent among them. In this paper we have implemented the Order Rated Effectiveness (ORE) model (Klimberg & Ratick, 2020) to produce composite flood vulnerability indicators through the aggregation of six constituent vulnerability indicators future projected for 204 hydrologic subbasins that cover the contiguous US. The ORE aggregation results, when compared with those obtained using the Weighted Linear Combination and Data Envelopment Analysis, provided a more robust and actionable distribution of composite vulnerability results for decision-makers when prioritizing Hydrologic Unit Codes for further analysis and for effectively and efficiently implementing adaptation and mitigation strategies to address the flooding consequences due to global climate change.

A great deal of uncertainty accompanies predictions of the potential effects of global climate change on the coastal hazards associated with severe storms. One way to obviate the effects of this uncertainty on the design of policies is to understand the manner in which populations are currently vulnerable to these types of hazards. In this chapter, we develop a method for constructing a relative composite measure of vulnerability using data envelopment analysis (DEA). Through the application of this index, and one constructed using a weighted average, to four costal towns along Boston's North Shore, we demonstrate their potential usefulness to policy formulation and implementation. The DEA composite index is shown to complement the information provided by the weighted average and helps overcome some of its shortcomings such as assigning importance weights and masking of the influence of one or a subset of vulnerability attributes. Acknowledging the spatial implications of floodplain protection and mitigation efforts, the indices are constructed and analyzed at a number of different geographic scales.

The Indian state of Assam is situated in a high rainfall zone and the river Brahmaputra flowing through the state causes annual floods which adversely impact the agro‐economic base of the region. The situation is likely to become exacerbated under the impact of climate change. The purpose of this paper is to quantify the vulnerability of the farmers in Assam to floods in the scenario of the present climate variability taking a case study of the Majuli Island of Jorhat district.

The current vulnerability of the farmers in the Majuli Island of Jorhat district of Assam is quantified using the “indicator method”. A Composite Vulnerability Index is calculated taking into account various indicators reflective of the exposure, sensitivity and the adaptive capacity of the farmers' community to floods. The indicators have been quantified based on the data obtained from household surveys and participatory rural appraisals (PRAs) in the villages and secondary data sources.

The results show that biophysical factors have the greatest impact on the overall vulnerability of the study area and that strengthened adaptive capacity, proper scientific planning and management is required to protect the Majuli Island from the adverse effects of recurrent floods.

This paper shows that the more decentralized the spatial unit of vulnerability assessment is, the more helpful it would be for policy makers and stakeholders to formulate efficient mitigation measures, plan apposite developmental programmes and improve the adaptive capacity of Assam as a whole to face the natural phenomenon of floods.

Seismic vulnerability evaluation of various public structures, especially school buildings, is very crucial for designing hazard mitigation initiatives in seismic prone areas. The city of Mymensingh is at great risk of earthquake because of its geographical location, geological structure and proximity to active faults. The city is famous for its ancient and renowned educational institutes that need to be evaluated for understanding the seismic performance of the building during an earthquake. This study aims to evaluate the seismic vulnerability of educational buildings of Mymensingh city using rapid visual screening (RVS) and index based approach.

RVS procedure includes field survey and secondary source assessment for evaluating structural vulnerability attributes. Analytical hierarchy process is applied to develop an index focusing on systematic attributes of vulnerability based on expert opinions. Then, a composite vulnerability map is developed combining both structural and systematic vulnerability score providing an equal weight.

This study evaluates the seismic vulnerability of 458 educational buildings of Mymensingh city and the result shows that 23.14% educational building has high, 46.29% has moderate and 26.86% has moderately low and only 3.71% buildings has the low seismic vulnerability. This study expected to be helpful in resource targeting and prioritizing seismic hazard mitigation activities for education buildings of Mymensingh city.

This study endeavors to present a comprehensive vulnerability assessment method by integrating RVS and index based approach that incorporates both structural and systematic dimensions of vulnerability. The result is expected to be helpful in the formulation of disaster prevention policy for vulnerable educational buildings and development of the earthquake-resistant building codes for the new building construction in Mymensingh city.

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.

The purpose of this study is to identify the most vulnerable households and districts in Northwest Ethiopia and help decision-makers in developing and prioritising effective adaptive strategies and actions.

A multi-scale analytical tool and hazard-generic socio-economic indicators were developed to identify and prioritise the most vulnerable households and districts in Northwest Ethiopia. Categorical principal component analysis with 36 indicators was used to develop weights for different indicators and construct a household intrinsic vulnerability index. Data were collected through key information interviews, focus group discussions and a household survey with 1,602 randomly selected households in three districts of Northwest Ethiopia.

Drawing on intrinsic vulnerability index computation, this study highlights that low levels of education, low access to climate information and credit services, long distance travelled to fetch water and frequent food shortages are the dominant factors contributing to high levels of intrinsic vulnerability at district level, while lack of livelihood support and income diversification are the key drivers of vulnerability at household level. The findings of this study further show that the majority of households (78.01%) falls within the very high to moderately high vulnerable category. Disaggregating the data according to agro-climatic zones highlights that the prevalence of high intrinsic vulnerability is most widespread in the lowland agro-climatic zone (82.64%), followed by the highland (81.97%) and midland zones (69.40%).

From a policy intervention vantage point, addressing the drivers of vulnerability provides a reliable approach to reduce the current vulnerability level and manage potential climate change-induced risks of a system. Specifically, reliable information on inherent vulnerability will assist policymakers in developing policies and prioritising actions aimed at reducing vulnerability and assisting in the rational distribution of resources among households at a local level.

This study contributes to the existing vulnerability literature by showing how hazard-generic socio-economic indicators in the vulnerability assessment adopted by the IPCC (2014) are important to identify drives of vulnerability which ultimately may feed into a more fundamental treatment of vulnerability.

The purpose of this paper is to revise, update and extend the economic vulnerability and economic resilience indices, where economic vulnerability is associated with inherent exposure to external shocks and economic resilience with policies that enable a country to minimize or withstand the negative effects of such shocks. This study also proposes a revised vulnerability/resilience framework to assess the risk of a country being harmed by external economic shocks.

The methodology used in the study involves defining economic vulnerability in terms of inherent features of an economy and defining economic resilience in terms of policy-induced changes, and then devising measureable indices to measure such vulnerability and resilience across countries. The exercise required the examination of various global indices to assess their suitability, in terms of relevance and country coverage, for measuring the vulnerability index and the resilience index and the components of the two indices.

The main finding of the study is that a number highly vulnerable states, including economically successful small island economies, emerged with high resilience scores, suggesting that they adopt policies that enable them to withstand the harmful effects of external shocks. This possibly explains why these states register relatively high GDP per capita, in spite of their high exposure to shocks. On the other hand, a number of countries, mostly large and poor developing countries, that are not highly exposed to external shocks due to their limited dependence on external trade, emerged with a low degree of policy-induced economic resilience.

The study utilized global indicators which sometimes had missing data and these had to be filled in using approximations based on assumptions, and alternative assumption could have produced a different approximations. In addition the classification of countries in terms of the vulnerability and resilience nexus depended highly on many underpinning assumptions, including the definitions and the measurement of the components, the weighting schemes and the thresholds used. It is likely that alternative assumptions would yield alternative classifications.

An important practical implication of this study is that highly economically vulnerable states can reduce the harmful effects of external economic shocks if they adopt policies that lead to resilience building. On the other hand, countries that are not highly exposed to external shocks, can render themselves economically unstable due to their weak economic, social and environmental governance.

This study considers social development and cohesion as one of the pillars of resilience building. The implication of this approach is that social governance, leading to improvements in the education and health of the population could reduce the harm arising from a country’s exposure to external shocks. This is because social governance affects the extent to which relations within a society are properly developed, enabling an effective functioning of the economic apparatus without the hindrance of civil unrest.

This study has extended previous work on the vulnerability and resilience framework, to include almost all countries of the world, using updated data, and has revised the resilience index to include environmental governance. It has also redefined market flexibility to allow for the downsides of excessive financial riskiness. The revision of vulnerability and resilience indices in the light of new data and their interaction showed more convincingly that economies that are highly economically vulnerable could still register economic success as a result of resilience-conducive policies associated with good economic, political, social and environmental governance.

The purpose of this paper is to analyze flood vulnerability vis-à-vis flood-induced health risks, and understand the relationship between them to suggest measures to reduce health risks in Sudan.

This study compares the vulnerability to flood and health consequences in two communities in Aroma. This study compares the vulnerability of Aroma semi-urban vicinity and Tendellei rural village, in Sudan, to flood and health consequences. A set of socioeconomic and health indicators were studied in 251 households. Households were classified according to their calculated vulnerability composite index. The index was validated through comparing the vulnerability values with the level of impact in each household.

About 30 percent of households are highly/very highly vulnerable to flood risk. On the other hand, 41 percent of the rural households and 25 percent of the semi-urban houses are highly/very highly vulnerable to health risks. The main determinants of flood vulnerability are; the number of earning family members, level of education and economic activity of the household's head. The rural households are found to be more vulnerable to health risks while semi-urban households are more vulnerable to flooding. Flood and health vulnerabilities are positively correlated. Factors like urbanization, poverty and education directly affect the vulnerability of communities.

The methodology could be strengthened through the running of multi-various regression to relate selected vulnerability indicators to incidence of malaria and diarrhea in each household.

The method described in this paper is flexible; applicable and can be reproduced for other areas and risks.

Vulnerability determinants affect the two communities differently and this necessitates specific consideration when developing policy. The policy should tackle the root causes of vulnerability to cut the vicious circle of poverty, illiteracy and illness. Those root causes should be managed by integrating multi-hazard approaches for effective and efficient interventions.

The method described in this paper is original, flexible; applicable and can be reproduced for other areas and risks.

The purpose of this paper is to contribute to the study of sustainable rural livelihoods by developing a model to measure vulnerability of subsistence communities in dryland regions and identifying the major determinants that contribute to the livelihood vulnerability of these communities.

The author conducted a household survey across three subsistence communities in West Timor (n=627), from June to November 2013. Based on the guideline of the OECD (2008), the author developed a series of indicators and constructed a composite index to measure the vulnerability of dryland communities. The author adapted the livelihood vulnerability index (LVI) measure from Hahn et al. (2009) but refined it by using Shannon’s entropy method in deciding the weights of indicators and statistically tested the correlation between indicators using Kendall’s correlations.

Six major determinants were identified: education (EDU), children’s participation in agriculture (CPA), agricultural income (AI), subsistence food reserve (SUBSIST), social-cultural participation (SCP) and access to water, health clinic and market (ACC). LVI in all communities shows significant and strong relationships with SCP (0.594, p<0.01), AI (0.545, p<0.01) and CPA (0.434, p<0.01). This signifies that constraints to engage in social gatherings, market the harvest and obtain additional labour input are currently the major contributor to the vulnerability in these communities.

Shannon’s entropy is one of the methods for assisting in making decision (ranking) objectively. The results may need to be tested further using other methods.

Using objective weight provides additional information useful for identifying and prioritising areas (sub-components) which require attention and appropriate solutions to prevent households from further impoverishment and increased vulnerability.

Livelihood vulnerability of subsistence community in dry region is closely related to local survival skills and customs. Differences in the level of vulnerability across communities are due not only to geographical location and physical infrastructure, but also the leadership of local customary leaders and village government in looking for ways to improve the livelihoods of community members.

This paper is based on part of the results of a PhD thesis supported and approved by Griffith University. It has not been published before.

This paper aims to develop a compound measure, which is fiscal vulnerability index, provides early warning signals of fiscal sustainability problems for Türkiye's economy.

The index is constructed using twelve distinct fiscal indicators and applying the portfolio method, which considers the time-varying cross-correlation structure between the subindices.

Dynamics of the fiscal vulnerability index indicate that it accurately predicts to the well-known fiscal crisis occurring in Türkiye's recent history. As a result, such a compound measure should be used in the early identification of fiscal vulnerability in Türkiye.

The main contribution of this paper, relative to existing papers, is that a fiscal vulnerability index was constructed by employing the most contemporaneous method and evaluating its performance in terms of capturing historical stress periods.