Search results

The purpose of this paper is to demonstrate a spatial model of population vulnerability (VI) capable of identifying areas of high emergency service demand (ESD) during extreme heat events (EHE).

An index of population vulnerability to EHE was developed from a literature review. Threshold temperatures for EHE were defined using local temperatures, and indicators of increased morbidity. Spearman correlations determined the strength of the relationship between the VI and morbidity during EHE. The VI was mapped providing a visual guide of risk during EHE. Future changes in population vulnerability based on future population projections (2020-2030) were mapped.

The VI can be used to explain the spatial distribution of ESD during EHE. Mapping future changes in population density/demography indicated several areas currently showing high risk will continue to show increased risk.

The limitations include using outdoor temperatures to determine health-related thresholds. Due to data restrictions three different measures of morbidity were used and aggregated to postal areas.

Identifying areas of increased service demand during EHE allows the development of proactive as-well-as reactive responses to heat. The model uses readily available data, is replicable in larger urban areas.

The model allows emergency service providers to work with high risk communities to build resilience to heat exposure and subsequently save lives.

To the authors’ knowledge this triangulated approach using heat thresholds, ESD and projected changes in risk in a spatial framework has not been presented to date.

Purpose – The vulnerability and adaptive capacities of cities in Latin America have received relatively less attention compared to other regions of the world. This chapter seeks to address these gaps by (a) examining vulnerability to the health impacts from air pollution and temperature, and exploring whether socioeconomic factors between neighborhoods differentiate these risks within the cities of Bogota, Buenos Aires, Mexico City, and Santiago and (b) assessing the capacity of urban populations to perceive and respond to vulnerability and risk.

Design/methodology/approach – Because of the complex nature of vulnerability, we combined a set of quantitative and quantitative methods and data to determine whether and under what conditions the people in these cities are vulnerable (e.g., Time Series Analysis, Generalized Linear Model, and statistical correlations of exposure and human mortality with socioeconomic vulnerability).

Findings – We found high levels of PM10, ozone, and other criteria air pollutants in three cities for which we had data. However, the pattern of their impacts on health depends on the particulars of pollutant levels and atmospheric and weather conditions of each city. Our results reflect the varied facets of urban vulnerability and shed light on the nature of the associated human health risks. Although wealthy populations have access to education, good quality housing, and health services to mitigate some environmental risks, overall the data show that health impacts from air pollution and temperature in the study cities do not necessarily depend on socioeconomic differentiations.

Research limitations/implications – Although we sought to use quantitative and qualitative methods, given the complexity of the research, it has proven difficult to fully explore these issues across scales and with a full accounting of local context.

Practical implications – Our findings show that wealthy and educated populations may be equally at risk to the health implications of air pollution. Policies designed to mitigate these risks should not use socioeconomic characteristics as predictors of a population's risk in relation to air pollution.

Originality/value – This research contributes valuable insights into the dynamics of vulnerability to air pollution in Latin American cities, a region that has been historically underrepresented in empirical studies of urban risk. We have also combined a range of methods and approaches to improve our understanding of the multifaceted nature of urban vulnerability to global environmental change.

The Millennium Declaration and the Hyogo Framework for Action point towards the need for methods to identify urban vulnerability to disaster risk as a pre-cursor for the development of benchmarks with which to track policy progress for urban sustainability and risk reduction. This paper responds to this call by assessing the state of the art in urban vulnerability and risk assessment tools. It presents a review of the conceptual frameworks, methodologies and comparative advantages of ten tools. These are categorised into deductive and inductive approaches, with inductive approaches in turn separated into those that use social-survey and participatory methods. The tools examined vary in the focus of their interests between those concerned with the vulnerability of places (cities or buildings) and people (either as predefined vulnerable social groups or identified through household livelihood sustainability).

The paper calls for a deeper conversation between the emerging community of practitioners working on urban disaster risk management and the existing urban development community. For example, disasters are typically defined as exceptionally large, single events, which adds to analytical clarity, but misses the cumulative impact of multiple small, local events on household sustainability and urban infrastructure, ultimately distorting planning guidance. There is also a need for natural hazard specific vulnerability assessment tools to be interpreted alongside, or to incorporate social, economic and political sources of danger to livelihoods and human health. For forward looking policy relevance, tools are also needed that can assess adaptive or coping capacity. This is essential for the building of a holistic approach to urban risk management. An approach that coherently tackles the multiple hazards and vulnerabilities faced by urban dwellers, and seeks to avoid the shifting of risk burdens between populations and the movement of people from one kind of threat to another.

This literature review aims to identify conscious, intentional, repetitive and transferrable information-related decisions and activities (i.e. information practices) for individuals to alleviate their information vulnerability. Information vulnerability refers to the lack of access to accurate, affordable, complete, relevant and timely information or the inability to use such information, which can place individuals, communities or society at disadvantage or hurt them.

Conceptual literature review.

This review presents seven conscious, intentional, repetitive and transferrable information practices to alleviate information vulnerability.

Due to the transferability potential of the seven information practices, diverse populations in varied contexts could refer to, adapt and benefit from appropriate combinations of information practices and their manifestations. The framework can be used by individuals for alleviating information vulnerability. Thus, this paper responds to the call for conducting action-driven research in information science for addressing real-world problems. Information professionals can help individuals select and implement appropriate combinations of seven information practices for alleviating information vulnerability.

We propose (1) a parsimonious, episodic framework for alleviating information vulnerability, which depicts the inter-relationship among the seven information practices and (2) a three-dimensional plot with information access, use and value as three axes to map the manifestation and outcome of alleviating information vulnerability.

This research aims to develop a model that may be used to determine the effective adaptive measures to implement in a system affected by climate change.

The three primary dimensions of the model were individually investigated and then the linkages among them were developed. Specifically, the nature of climate change was examined and the issues emerging from the changes were analyzed. Next, an intensive study of system vulnerabilities was conducted, and the third factor in the model, risk, is then explored. Afterwards, the conceptual framework, which is the foundation of the climate change vulnerability risk model, was devised and the model created.

The model is a three‐dimensional matrix with the nature of climate change, vulnerabilities, and risks as its chief dimensions. It identifies the four natures of climate change, namely: variability, intensity, frequency, and quantity and the vulnerability types to be socio‐economic, biophysical, technological, and institutional. Meanwhile, risks are classified as income, biodiversity, health, mortality, and infrastructure risks.

The research is the first phase of a three‐stage study on the linkages among climate change, vulnerability, and risks. It is the development stage of the framework that exemplifies the interrelationships among these variables and is the basis of the statistical and econometric analyses in the later stages.

The climate change vulnerability risk model was developed to act as an analytical guide in understanding the effects of climate change to systems. The model may be used to determine the effective adaptive measures to apply in the system, through a comparative analysis of the variables in the matrix.

Risk assessment is imperative for disaster risk reduction. The risk is rooted to various physical, social, economic, demographic and environmental factors that determine the probable magnitude of loss during an extreme event. By way of bringing a conceptual model into practice, this paper aims to examine the flood risk of the Srinagar city.

The “risk triangle” model has been adopted in the present investigation evaluating parameters, reflective of hazard (intensity), exposure (spatial) and vulnerability (sensitivity) using Landsat-8 operational land imager scene (10 September 2014), global positioning system, Cartosat-1 digital elevation model and socioeconomic and demographic data (Census of India, 2011). The authors characterise flood hazard intensity on the basis of variability in water depth during a recent event (September 2014 Kashmir flood); spatial exposure as a function of terrain elevation; and socioeconomic structure and demographic composition of each municipal ward of the city as a determinant factor of the vulnerability. Statistical evaluation and geographic information system-based systematic integration of all the multi-resolution data layers helped to develop composite flood risk score of each ward of the city.

Principal deliverable of this study is flood risk map of the Srinagar city. The results reveal that approximately 46 per cent of the city comprising 33 municipal wards is at high risk, while rest of the area, i.e. 17 and 37 per cent, exhibit moderate and low levels of risk, constituting 23 and 12 municipal wards, respectively. It is very likely that the municipal wards expressing high risk may witness comparatively more damage (impact) during any future flood event. Thus, there is a need of planned interventions (structural and non-structural) to minimise the emergent risk.

Very rare attempts have been made to bring theoretical models of disaster research in practice; this is mainly because of the complexities associated with the data (selection, availability and subjectivity), methodology (integration, quantification) and resolution (spatial scales). In this direction, this work is expected to have considerable impact, as it provides a clear foundation to overcome such issues for the studies aiming at disaster risk assessment. Furthermore, using varied primary and secondary data, this paper demonstrates the relative (municipal wards) flood risk status of the Srinagar city, which is one of the key aspects for flood hazard mitigation.

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.

Providing health care to the poor is evolving in the new US marketplace. The Affordable Care Act has set goals enhancing access to health care, lowering costs and improving patient outcomes. A key segment in this evolution is the most vulnerable health-care population of all: Medicaid. This paper aims to provide a general review of how providing health care to Medicaid patients is changing including how socio-economic aspects of this vulnerable population affects the quality of the health care provided.

The paper is entirely secondary research; no primary research has been conducted.

Managed care Medicaid provides a risk-based model to treating a vulnerable health-care market segment. The jury is still out on whether managed care Medicaid (MCM) is improving health-care quality and saving cost, but the provision of health care to the Medicaid segment is definitely shifting from a fee-for-service model to value based payment. Very recent developments of new health-care delivery approaches present a positive outlook for improving quality and containing costs going forward.

At this stage, whether or not MCM saves money or provides better health-care quality to this vulnerable population is a work in progress. Health-care marketing can impact socio-economic aspects of health care for the poor. There is a need to follow up on the positive results being documented in demonstration health-care delivery models.

At this point, there has been no long-term study of whether managed care Medicaid offers better quality of health care and cost savings. The research to date suggest that the quality of health-care delivery to the poor is improving at a lower cost to payers.

Medicaid patients are an underserved market segment. Managed care Medicaid offers a new model that has the potential to provide quality care at acceptable cost. Critical to this vulnerable market segment is the need to integrate socio-economic aspects of the population with the delivery of health care.

There has been very little discussion of Medicaid overall in the marketing literature, much less any discussion of managed care Medicaid.

Health systems are periodically confronted by crises – think of Severe Acute Respiratory Syndrome, H1N1, and Ebola – during which they are called upon to manage exceptional situations without interrupting essential services to the population. The ability to accomplish this dual mandate is at the heart of resilience strategies, which in healthcare systems involve developing surge capacity to manage a sudden influx of patients. The paper aims to discuss these issues.

This paper relates insights from resilience research to the four “S” of surge capacity (staff, stuff, structures and systems) and proposes a framework based on complexity theory to better understand and assess resilience factors that enable the development of surge capacity in complex health systems.

Detailed and dynamic complexities manifest in different challenges during a crisis. Resilience factors are classified according to these types of complexity and along their temporal dimensions: proactive factors that improve preparedness to confront both usual and exceptional requirements, and passive factors that enable response to unexpected demands as they arise during a crisis. The framework is completed by further categorizing resilience factors according to their stabilizing or destabilizing impact, drawing on feedback processes described in complexity theory. Favorable order resilience factors create consistency and act as stabilizing forces in systems, while favorable disorder factors such as diversity and complementarity act as destabilizing forces.

The framework suggests a balanced and innovative process to integrate these factors in a pragmatic approach built around the fours “S” of surge capacity to increase health system resilience.

The purpose of this paper is to critically analyse the role of housing reconstruction projects in post conflict and post tsunami Sri Lanka, and to discuss their implications on conflict prevention.

Using four housing reconstruction projects in Batticaloa, Kilinochchi and Jaffna Districts, Sri Lanka, as case studies, and a novel methodological framework, the study explores the causal relations among the independent variables associated with housing reconstruction and dependent variables related to conflict prevention. The data, gathered from interviews and project reports, were analysed using propositions from a literature review, adopting a thematic analytical approach.

This study finds that reconstruction has created new forms of conflicts and tensions for the people who came to live in the newly constructed houses. The hostile relations that existed among different ethnic groups during the conflict were continued, and to some extent, exacerbated by the reconstruction undertaken after the war.

The study identifies causal relations among the independent variables associated with housing reconstruction and dependent variables related to conflict prevention, which can be used to inform physical reconstruction programmes after conflict.

The research presents a novel methodological framework. The results reveal concerns in housing and infrastructure development that have implications for future research and practice in post conflict environments.