The phenomena of urbanization and climate change interact with the growing number of older people living in cities. One of the effects of climate change is an increased riverine flooding hazard, and when floods occur this has a severe impact on human lives and comes with vast economic losses. Flood resilience management procedures should be supported by a combination of complex social and environmental vulnerability assessments. Therefore, new methodologies and tools should be developed for this purpose. One way to achieve such inclusive procedures is by incorporating a social vulnerability evaluation methodology for environmental and flood resilience assessment. These are illustrated for application in the Polish city of Wrocław. Socio-environmental vulnerability mapping, based on spatial analyses using the poverty risk index, data on the ageing population, as well as the distribution of the areas vulnerable to floods, was conducted with use of a location intelligence system combining Geographic Information System (GIS) and Business Intelligence (BI) tools. The new methodology allows for the identification of areas populated by social groups that are particularly vulnerable to the negative effects of flooding. C 2018 SETAC Original Publication: Integr Environ Assess Manag 2018;14:592–597. DOI: https://doi.org/10.1002/ieam.4077
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Being able to identify socially frail older adults is essential for designing interventions and policy and for the prediction of health outcomes, both on the level of individual older adults and of the population. The aim of the present study was to adapt the Social Vulnerability Index (SVI) to the Dutch language and culture for those purposes. A systematic cross-cultural adaptation of the initial Social Vulnerability Index was performed following five steps: initial translation, synthesis of translations, back translation, a Delphi procedure, and a test for face validity and feasibility. The main result of this study is a face-valid 32 item Dutch version of the Social Vulnerability Index (SVI-D) that is feasible in health care and social care settings. The SVI-D is a useful index to measure social frailty in Dutch-language countries and offers a broad, holistic quantification of older people's social circumstances related to the risk of adverse health outcomes.
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A comprehensive vulnerability assessment is a scientific basis for the realization of the United Nations' sustainable development goals. Energy resilience plays a crucial role in mitigating social vulnerability due to disaster shocks. Often, energy infrastructure and services collapse after disasters. The recent Russia-Ukraine war has exacerbated Europe's energy crisis and social vulnerabilities, making it even more urgent to add energy resilience to vulnerability assessments. This paper takes the Netherlands as the study area for vulnerability assessment, constructs a new social vulnerability indicator (SVI) system supplemented with the energy element, and compares that with the traditional energy indicator system. The results indicate that: 1) The introduction of energy indicators fills the gap of traditional SVI assessment. 2) Energy indicators reveal regional and spatial differences in potential social vulnerability in the Netherlands. 3) Energy-inclusive SVI demonstrates that uneven urbanization exacerbates risks and inequalities for vulnerable groups, with potential impacts on social vulnerability. Sustainable urban development requires the search for a recognized and coordinated approach to managing vulnerability across regions. The complementarity of energy indicators offers opportunities to provide a more comprehensive assessment of spatial patterns of social vulnerability, identify potentially vulnerable areas, enhance urban disaster resilience, and achieve sustainable urban development.
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In recent years, there have been significant changes in weather patterns, mainly caused by sharp increases in temperature, increases in carbon dioxide, and fluctuations in precipitation levels, negatively impacting agricultural production. Agricultural systems are characterized by being vulnerable to the variation of biophysical and socioeconomic factors involved in the development of agricultural activities. Agent-based models (ABMs) enable the study, analysis, and management of ecosystems through their ability to represent networks and their spatial nature. In this research, an ABM is developed to evaluate the behavior and determine the vulnerability in the sugarcane agricultural system; allowing the capitalization of knowledge through characteristics such as social ability and autonomy of the modeled agents through fuzzy logic and system dynamics. The methodol-ogy used includes information networks for a dynamic assessment of agricultural risk modeled by time series, system dynamics, uncertain parameters, and experience; which are developed in three stages: vulnerability indicators, crop vulnerability, and total system vulnerability. The development of ABM, a greater impact on the environmental contingency is noted due to the increase in greenhouse gas emissions and the exponential increase in extreme meteorological phenomena threatening the cultivation of sugarcane, making the agricultural sector more vulnerable and reducing the yield of the harvest.
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Since the first uptake of electric vehicles, policy makers are questioning how to rollout public charging infrastructure in an efficient manner, such that user convenience balances with costs of investment. In some metropolitan areas, the first phase of rollout has been passed, meaning an optimized deployment of future charging stations for electric vehicles (EVs) becomes important to improve the charging infrastructure and ensure customer satisfaction and sufficient service provision. Complex system literature shows that network vulnerability is an important metric, yet, charging infrastructure has not yet been a subject of these simulation models so far. This research, based on real-world data, provides a novel approach for improving the roll-out strategy of municipalities, by treating the charge infrastructure as a complex network of charging stations and defining vulnerability in respect to the availability of its surrounding charging stations within relevant walking distance.
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Stormwater flooding and thermal stresses of citizens are two important phenomena for most of the dense urban area. Due to the climate change, these two phenomena will occur more frequently and cause serious problems. Therefore, the sectors for public health and disaster management should be able to assess the vulnerability to stormwater flooding and thermal stress. To achieve this goal, two cities in different climate regions and with different urban context have been selected as the pilot areas, i.eY., Tainan, Taiwan and Groningen, Netherlands. Stormwater flooding and thermal stress maps will be produced for both cities for further comparison. The flooding map indicates vulnerable low lying areas, where the thermal stress map indicates high Physiological Equivalent Temperature (PET) values (thermal comfort) in open areas without shading. The combined map indicates the problem areas of flooding and thermal stress and can be used by urban planners and other stakeholders to improve the living environment.
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It is historically a fact that Turkey experiences frequent earthquakes, on the order of one damaging earthquake of magnitude 6–7 approximately every 2 years, causing extensive losses to economy, life and limb. Every strong earthquake leaves behind poverty and tens of thousands of homeless people. In order to mitigate especially the losses of life due to earthquakes, a rapid scoring technique called the P25 – Preliminary Assessment Method is proposed herein. The purpose of the method is to determine, for a reinforced concrete-framed building, whether there is any vulnerability to collapse during a strong earthquake. By identifying those buildings, which are most likely susceptible to collapse inside a particular building stock, and consequently strengthening or demolishing them, practically no loss of life will occur. In this presentation, details of P25 – Preliminary Assessment Method are discussed and the high degree of prediction reliability of the method is demonstrated on 323 case study buildings, which experienced wide ranges of damage during past earthquakes.
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Presentation at the ALM28 Conference: Numeracy and Vulnerability, 5-7 july, Universität Hamburg, Germany.
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OBJECTIVE: To study the impact of generalized joint hypermobility (GJH) in professional dancers on physical fitness, musculoskeletal complaints and psychological distress.METHODS: Thirty-six professional dancers were recruited and compared with control subjects (mean age 20.1, range 17-27). Height, weight, Beighton score, physical fitness (walking distance, muscle strength, estimated VO2max), musculoskeletal complaints (pain, fatigue) and psychological distress (anxiety, depression) were measured.RESULTS: Univariate analysis revealed, in between-group analysis, that dancers (with and without GJH) had higher physical fitness [the six-minute walk test (6MWT): ΔD = +8.4%, P = 0.001; VO2max: ΔD = +12.8%, P = 0.01], fatigue (checklist individual strength: ΔD = +80.3%, P < 0.0001) and greater psychological distress (Hospital Anxiety and Depression Scale: ΔD = +115.0%, P < 0.0001). When comparing dancers and control subjects with GJH to those without GJH, lower levels of physical fitness (muscle strength: ΔD = -11.3%, P < 0.0001; 6MWT: ΔD = -9.9%, P < 0.0001), more fatigue (checklist individual strength: ΔD = +84.4%, P < 0.0001) and greater psychological distress (Hospital Anxiety and Depression Scale: ΔD = +79.6%, P < 0.0001) were observed in subjects with GJH. Multivariate analysis showed that dancers have higher levels of physical fitness (6MWT, P = 0.001; VO2max, P = 0.020); however, when taking GJH into account, this advantage disappeared, indicating lower levels of physical fitness in comparison with control subjects (6MWT, P = 0.001; muscle strength, P < 0.0001; VO2max, P = 0.040). Dancers experienced more fatigue (P = 0.001) and psychological distress (P < 0.0001). This was associated with even more fatigue (P = 0.010) and psychological distress (P = 0.040) when GJH was present.CONCLUSION: Dancers with GJH seem more vulnerable to musculoskeletal and psychological complaints. In addition, GJH was also associated with lower physical fitness, despite training. Caregivers for professional dancers should monitor closely the physical capabilities and the amount of psychological strain.
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