resilience index
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Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.  

Abstract This article presents an agroecosystem resilience index (ARI) relative to two types of exogenous drivers: biophysical and socioeconomic threats. The ARI is based on a theoretical framework of socioecological systems and draws upon multicriteria analysis. The multicriteria consists of variables related to natural, productive, socioeconomic, and institutional systems that are weighted and grouped through expert judgment. The index was operationalized in the Rio Grande Basin (RGB), in the Colombian Andes. The ARI was evaluated at the household level using information from 99 RGB households obtained through workshops, individual semistructured interviews, and surveys. The ARI is a continuous variable that ranges between zero and one and results in five categories of resilience: very low, low, medium, high, and very high. When faced with climate change impacts, 19% of households showed low resilience, 64% medium resilience, and 16% high resilience according to the ARI. When faced with price fluctuations, 23% of households showed low resilience, 65% medium resilience, and 11% high resilience. Key variables associated with high resilience include the diversity of vegetation cover, households that have forests on their properties, a high degree of connectivity with other patches of forest, diversification of household economic activities, profitability of economic activities, availability of water sources, and good relationship with local institutions.

There have been a number of new research published with different methodologies and frameworks in recent years, aimed at improving city resilience to a variety of man-made and natural calamities. As climate change progresses, resilience will become a more important topic in scientific and policy circles that influence future urban development. This review article first provides the definition of resilience. Then it represents some of the adopted methodologies in an extensive way. Approaches including Baseline Resilience Indicators for Communities (BRIC), Climate Disaster Resilience Index (CDRI), Disaster resilience index based on Analytic Hierarchy Process (AHP), Composite indicator based approach, Hyogo Framework and so on. This section discusses about urban resiliency assessments to mitigate vulnerability, offer a set of principles and indicators for creating an urban resilience assessment tool. Findings of this study not only address a variety of qualitative and quantitative aspects of urban resilience but also describes about different indicators such as environmental resources, socio-economic and built environment, infrastructure, governance and institutional indicators. Journal of Engineering Science 12(3), 2021, 111-125

Las ciudades enfrentan fenómenos naturales y antropogénicos que ponen en riesgo constante el bienestar y la calidad de vida de sus habitantes. Actualmente, se ha apostado por la propuesta de “resiliencia urbana” como la solución a estas situaciones. Algunas ciudades mexicanas han desarrollado acciones para aumentar su resiliencia. Los espacios públicos representan una oportunidad de ello; Ciudad de México, Ciudad Juárez y Colima incluyen en sus estrategias de resiliencia la importancia de generar espacios seguros y resilientes. Esta investigación tiene el fin de ayudar a las ciudades mexicanas a aumentar su resiliencia y mejorar la calidad de vida de sus habitantes, desde la perspectiva del espacio público. Se enfoca en los espacios públicos de tipo abierto destinados para la recreación, el deporte y zonas verdes, como parques, jardines, plazas o zonas de esparcimiento. Este trabajo utiliza como fundamento los indicadores del modelo de medición de la resiliencia en espacios públicos, basado en el City Resilience Index. Se desarrolla con una revisión a los marcos legales, de planeación e instrumentales aplicados a los servicios urbanos descritos en los indicadores. Finalmente, se obtiene como resultado un listado de recomendaciones basadas en la política pública nacional. Se contribuye a la construcción de resiliencia en los espacios públicos mexicanos, ya que se identifica a los servicios urbanos necesarios y sus características. Se establecen como necesarios en espacios resilientes los servicios de suministro de energía, suministro de agua potable, saneamiento de aguas residuales, gestión de residuos, movilidad y telecomunicaciones.

Tal and Diara regions of Malda district are extremely prone to floods, still, report higher population density than the state's average density. This indicates that the local population has learned to live with floods by developing resilience to the flood threat through better preparedness, coping, and adaptive strategies. Such micro-level strategies developed by the local people can be useful to policymakers and social scientists alike in terms of better mitigating the flood menace and associated vulnerability. This paper attempts to measure and compare the level of flood resilience of the local people living in Tal and Diara at the household level. Furthermore, the article aims to analyse whether the distance from the major flood-causing rivers, viz. Fulhar in Tal and Ganga in Diara play a role in the degree of resilience of the population to floods. The paper is empirical, where information has been collected from sample households and focus group discussion with village elders in two sets of villages, i.e., Maniknagar and Ratua in Tal and Gopalpur and Nurpur in Diara. The UNDP technique has been used to compute the composite Resilience Index (RI) consisting of Preparedness Index (PI), Immediate Coping Index (ICI), and Adaptive Index (AI). The findings suggest that the villages located in and around the levees of major flood-causing rivers, viz. Maniknagar in Tal and Gopalpur in Diara records a higher level of resilience to floods in comparison to the interior villages, viz. Ratua in Tal and Nurpur in Diara. The paper concludes that in both Tal and Diara, people have learned to cope and adapt to floods and that the closer the distance from the major flood-causing rivers, the higher the villagers' resilience to flood hazards.

Global warming and environmental changes have resulted in more frequent and extreme weather events, as well as larger-scale disasters around the world. This study presents a disaster risk analysis in Taiwan coastal area using the Climate Disaster Resilience Index (CDRI) and examines the strategies adopted by the coastal residents of Taiwan, through a new concept of “copability” analysis. Based on the results, the majority of the coastal regions fall under the medium-to-low resilient category with the south-western and northern coast of Taiwan as the most high-risk regions posing a high risk to millions of people facing climatic disasters in the future. The coping mechanisms used by local residents are also influenced by the socioeconomic status of the decision-makers as well as the synchronization of disasters. Based on the findings, a 4R management package is developed in which the copability and resilience management strategy are squeezed into four main sectors of resource, reason, roadmap, and respond to work towards a more coordinated management and use of natural resources across sectors and scales. It is advised that all governmental, private, and community actors implement coherent climate risk management measures, accompanied by mitigation initiatives, in order to establish a sustainable level of climate resilience in cities.