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Vulnerability studies are commonly used to inform planning, as cities and regions seek to build resilience to environmental hazards. In Shelby County, Tennessee, socioeconomic census tract data were mapped to identify the socially vulnerable population and places to underpin strategies in the Mid-South Regional Resilience Master Plan (RRMP). While this is an important step in identifying vulnerability in the county, this paper aims to enhance the local analysis through an integrated approach that considers both social factors and environmental hazards in assessing vulnerability.

This paper conducts a social vulnerability assessment by integrating a social vulnerability index with risk exposure analysis at the census tract level to identify the population and places vulnerable to riverine flooding in Shelby County.

The analysis reveals that social vulnerability assessments that do not relate socioeconomic factors to specific environmental hazards such as riverine flooding underestimate the population and places that are vulnerable. For Shelby County, this has the tendency to undermine the prioritization and effectiveness of strategies to build resilience to riverine flooding and can worsen preexisting marginalization.

This paper recommends integrated vulnerability assessments for each of the environmental hazards identified in the Mid-South RRMP to augment existing resilience efforts in the county.

This paper enhances the understanding of social vulnerability assessments by consolidating the need for integrated assessment frameworks as basis for resiliency planning.

The purpose of this paper is to quantitatively measure the vulnerability level of the whole rural social-ecological system in Yunnan Province and to analyze the spatial differences of the vulnerability in different regions.

Based on the “exposure-sensitivity-adaptability” vulnerability assessment framework, this paper establishes the index system of rural social-ecological system vulnerability to climate change. Combined with the questionnaire survey and meteorological data, the entropy method was used to measure and analyze the vulnerability level and influencing factors of the overall rural social-ecological system in Yunnan Province. At the same time, the vulnerability level of social-ecological system in Yunnan Province is divided into five levels, and the spatial differences of vulnerability level of 16 states (cities) in Yunnan Province are analyzed.

The results show that: the social-ecological system has high exposure to climate change (0.809), strong sensitivity (0.729), moderate adaptability (0.297) and overall system vulnerability is at a medium level (0.373). Yunnan Province is divided into five levels of social-ecological system vulnerable areas. The areas of extreme, severe, moderate, mild and slight vulnerability account for 21.45%, 24.65%, 36.82%, 13.18% and 3.90% of the whole province, respectively. The geographical division and vulnerability division of Yunnan Province are basically consistent in space.

Comprehensive evaluation of the vulnerability of the social-ecological system of Yunnan Province to climate change is the scientific basis for the country to formulate countermeasures against climate change, and it is also the need to improve the adaptability of the social and economic system of the fragile area, reduce the vulnerability and realize the sustainable development of national social economy. The research results can provide a basis for decision-making of climate adaptation in Yunnan and other regions and provide methods and indicators for the assessment of social-ecological system vulnerability under the background of climate change.

The purpose of this paper is to present a new index of social vulnerability (SV), based on local level data [statistical blocks (SBs)]. This same methodology was applied before at the municipal level, which is a level of analysis that under-evaluates local spots of high SV, by one side, and generalizes the coverage of support capacity equipment and infrastructure. The geographical level of detail of the input data allows to overcome those limitations and better inform infra-municipal risk practitioners and planners.

The assessment of SV in this paper adopts an inductive approach. The research context of this conceptual and methodological proposal derived from the need to operationalize the concept of SV as a planning tool. This approach required to distinguish between the components of criticality and support capability, as their assessment provides knowledge with distinct applications in risk management. The statistical procedure is based on principal components analysis, using the SB as the unit of analysis.

Support capability acts as a counter-weight of criticality. This understanding is well illustrated in the mapping of each component and the final score of SV. The methodological approach allowed to identify the drivers of criticality and support capability in each SB, aiding decision-makers and risk practitioners in finding the vulnerability forcers that require more attention (public or private social equipment, housing policies, emergency anticipatory measures, etc.).

An original approach to SV assessments is the consideration of the components of criticality and support capability. The results allow for the definition of adapted and specific strategies of risk mitigation and civil protection measures to distinct types of risk groups and by different stakeholders and risk practitioners. By predicting the impact and the recovery capacity of communities, the results have applicability in several fields of risk governance as, for example, risk communication and involvement, social intervention (health, education and housing), emergency response, contingency planning, early warning and spatial planning.

This paper aims to present the “Vulnerability Sourcebook” methodology, a standardised framework for the assessment of climate vulnerability and risk in the context of adaptation planning. The Vulnerability Sourcebook has been developed for the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) and has been applied in more than twenty countries worldwide.

It is based on a participative development of so-called climate impact chains, which are an analytical concept to better understand, systemise and prioritise the climate factors as well as environmental and socio-economic factors that drive climate related threats, vulnerabilities and risks in a specific system. Impact chains serve as the backbone for an operational climate vulnerability assessment with indicators based on quantitative approaches (data, models) combined with expert assessments. In this paper, the authors present the concept and applications of the original Vulnerability Sourcebook, published in 2015, which was based on the IPCC AR4 concept of climate vulnerability. In Section 6 of this paper, the authors report how this concept has been adapted to the current IPCC AR5 concept of climate risks.

The application of the Sourcebook is demonstrated in three case studies in Bolivia, Pakistan and Burundi. The results indicate that particularly the participative development of impact chains helped with generating a common picture on climate vulnerabilities and commitment for adaptation planning within a region. The mixed methods approach (considering quantitative and qualitative information) allows for a flexible application in different contexts. Challenges are mainly the availability of climate (change) and socio-economic data, as well as the transparency of value-based decisions in the process.

The Vulnerability Sourcebook offers a standardised framework for the assessment of climate vulnerability and risk in the context of adaptation planning.

Shows a framework to assess urban and regional vulnerability. Starting from the first attempts to measure the vulnerability component of risk (the latter given as the combination of hazard and vulnerability) which have been carried out in Italy but which considered only single buildings, the method used until now is broadened to take into account also the vulnerability of the subsystems which are part of regional systems as well as social and economic vulnerabilities. Some important parameters have been identified to evaluate these vulnerabilities, and put in a framework which aids the assessment of overall regional and urban vulnerability. According to the authors’ opinion such a framework can be very useful in addressing planners’ and public administrators’ decisions both on preventive strategies and during the preparation of reconstruction plans. This framework has been applied to a small seismic settlement in Lombardy, Toscolano Maderno.

This paper aims to develop a multi-hazard risk assessment method based on probability theory and a set of economic, social and environmental indicators, which considers the increase in hazards when they occur concurrently or consecutively.

Disaster risk assessment generally considers the impact and vulnerability of a single hazard to the affected location/object without considering the combination of multiple hazards occurring concurrently or consecutively. However, disasters are often closely related, occurring in combination or at the same time. Probability theory was used to assess multi-hazard, and a matrix method was used to assess the interaction of hazard vulnerabilities.

The results of the case study for the Mid-Central Coastal Region show that the proportions of districts at a very high class of multi-hazard, multi-vulnerabilities and multi-hazard risk are 81%, 89% and 82%, respectively. Multi-hazard risk level tends to decrease from North to South and from East to West. A total of 100% of coastal districts are at high to very high multi-hazard risk classes. The research results could assist in the development of disaster risk reduction programs towards sustainable development and support the management to reduce risks caused by multi-hazard.

The multi-risk assessment method developed in this study is based on published literature, allowing to compare quantitatively multiple risk caused by multi-hazard occurring concurrently or consecutively, in which, a relative increase in hazard and vulnerability is considered. The method includes the assessment of three components of disaster risk including multi-hazard, exposure and multi-vulnerability. Probability and Copula theories were used to assess multi-hazard, and a matrix method was used to assess the interaction intensity of multi-vulnerabilities in the system.

Tanjung Mas, an urban village located in the northern part of Semarang city, has been facing a major impact of coastal inundation occurring along North Java Coastline. This by-product of global climate change is also affecting a 37-hectares slum, one of the largest slums in Semarang city. As the coastal flood tends to escalate every year, the affected areas must have a coping ability to reduce its impact, while also having adequate resources to recover. Considering Tanjung Mas’ dense demographic condition and its function as the city’s seaport, social vulnerability and capability play a significant role in mitigating and recovering flood impacts, in supplement to local government’s effort of strengthening the Northern Java Seawall. Therefore, this study aims to scored and correlated Tanjung Mas’ social vulnerability index (SoVI) and community capability index to assess how well its population can recover from the tidal flood in the future.

This study used the SoVI framework analysis to synthesize relevant social vulnerability indicators and community capability indicators in Tanjung Mas. The two sets of indicators were correlated with Pearson R-squared correlation method to seek a possible non-causal relation. Bivariate indices mapping method exhibit the SoVI and community capability index spatially to show every area’s vulnerability and capability level.

The vulnerability and capability level in Tanjung Mas vary within its smaller area, as six combinations of social vulnerability and community capability level were found. The worst combination was found on areas closer to the coastline, with high social vulnerability and low community capability level. These areas need to be strengthened in both its capability and coping ability toward coastal flood to realize a resilient community.

This study will be useful for local governments as a supplement to the strategic spatial plan, predominantly in prioritizing vulnerable area treatment prior to the completion of Northern Java Seawall in 2025. This study provides information and a simplified quantitative scoring result of vulnerability and capability level in slum area that has been customized according to Indonesia’s demographic characteristic. These results and framework might be relevant to SoVI and capability scoring in developing countries.

Enhancing the resilience of cities and strengthening risk-informed decision-making are defined as key within the Global Agenda 2030. Implementing risk-informed decision-making also requires the consideration of scenarios of exposure and vulnerability. Therefore, the paper presents selected scenario approaches and illustrates how such vulnerability scenarios can look like for specific indicators and how they can inform decision-making, particularly in the context of urban planning.

The research study uses the example of heat stress in Ludwigsburg, Germany, and adopts participatory and quantitative forecasting methods to develop scenarios for human vulnerability and exposure to heat stress.

The paper indicates that considering changes in future vulnerability of people is important to provide an appropriate information base for enhancing urban resilience through risk-informed urban planning. This can help cities to define priority areas for future urban development and to consider the socio-economic and demographic composition in their strategies.

The value of the research study lies in implementing new qualitative and quantitative scenario approaches for human exposure and vulnerability to strengthen risk-informed decision-making.

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.

This paper aims to investigate farmers’ vulnerability to climate change and variability in the northern region of Ghana.

The study assessed the vulnerability of male-headed and female-headed farming households to climate change and variability by using the livelihood vulnerability index (LVI) and tested for significant difference in their vulnerability levels by applying independent two-sample-student’s t-test based on gender by using a sample of 210 smallholder farming households.

The results revealed a significant difference in the vulnerability levels of female-headed and male-headed farming households. Female–headed households were more vulnerable to livelihood strategies, socio-demographic profile, social networks, water and food major components of the LVI, whereas male-headed households were more vulnerable to health. The vulnerability indices revealed that female–headed households were more sensitive to the impact of climate change and variability. However, female-headed households have the least adaptive capacities. In all, female-headed farming households are more vulnerable to climate change and variability than male-headed farming households.

The study recommends that female-headed households should be given priority in both on-going and new intervention projects in climate change and agriculture by empowering them through financial resource support to venture into other income-generating activities. This would enable them to diversify their sources of livelihoods to boost their resilience to climate change and variability.

This is the first study that examined the gender dimension of vulnerability of smallholder farmers in Ghana by using the livelihood vulnerability framework. Female subordination in northern region of Ghana has been profound to warrant a study on gender dimension in relation to climate change and variability, especially as it is a semi-arid region with unpredictable climatic conditions. This research revealed the comparative vulnerability of male- and female-headed households to climate change and variability.