Bronfenbrenner’s bioecological theory for modelling community resilience to natural disasters

This paper advocates the use of Bronfenbrenner’s bioecological theory as a framework to analyse resilience at diverse scales. Bronfenbrenner’s bioecological theory can be employed to (a) benchmark social resilience, (b) target the priority interventions required and (c) measure progress arising from these interventions to enhance resilience to natural disasters. First, the paper explores resilience to natural disasters in the context of climatic change as building resilience is seen as a way to mitigate impacts of natural disasters. Second, concepts of resilience are systematically examined and documented, outlining resilience as a trait and resilience as a process. Third, issues arising in relation to the measurement of resilience are discussed. Fourth, Bronfenbrenner’s bioecological systems theory is described and proffered to model and assess resilience at different scales. Fifth, studies are described which have supported the use of the bioecological systems theory for the study of resilience. Sixth, an example of the use of Bronfenbrenner’s theory is offered and the paper concludes with suggestions for future research using Bronfenbrenner’s theory.     

Resilience to natural hazards: a geographic perspective

Resilience is increasingly used as an approach for understanding the dynamics of natural disaster systems. This article presents the origin of resilience and provides an overview of its development to date, which draws on the wide literature on ecological science, social science, social–environmental system and natural hazards. From a geographic perspective, the model of disaster resilience of “Loss–Response” of Location (DRLRL) was created and disaster resilience was defined from three dimensional mode, which focused on the spatial, temporal scale of resilience and attributes of hazard-affected bodies. A geographic approach was put forward to measure the disaster resilience, including two properties of inherent resilience and adaptive resilience and a case study was implemented in order to validate this approach. This perspective would offer greater potential in application of resilience concept, especially in the process of integrated risk management and disaster recovery.     

长江经济带水资源-水环境-社会经济复杂系统韧性调控模型及应用

水资源-水环境-社会经济复杂系统韧性研究是规避外来冲击和挑战、保持区域和平稳定发展的重要途径之一。借鉴投影寻踪和微分方程的思想构建了一种新的韧性调控模型,对长江经济带整体和省级尺度1999—2018年间的水资源-水环境-社会经济复杂系统韧性及其调控因素进行了评估。结果表明：长江经济带韧性水平以2011年为突变点,2011年之前较为稳定,2011年之后稳步提升;影响韧性特征的因素在江西省和云南省为自然禀赋条件,在上海市为科学技术水平和政府宏观政策,而其他地区则经历了两者之间的过渡;韧性的优控因素排序为适应性>恢复性>抵抗性,且逐渐从抵抗性转移为适应性。     

Earthquake hazards and community resilience in Baluchistan

Resilience is widely used from a variety of research perspectives; however, community resilience in particular is applied to a number of natural hazards and disasters-related studies, programs, and activities. It is also acknowledged that its measurement is cumbersome but not impossible. The prime objective of this paper is to measure the community resilience of an earthquake-prone area in Baluchistan. The article presents the concept of resilience, its approaches, selection of indicators, formulation of subjective assessment method for weighting the indicators, and finally, developing the community resilience index. For the community resilience measurement, a survey was conducted among 200 households in two earthquake risk zones of Quetta city, using simple random sampling method. The overall composite community resilience index revealed that the resilience is low in both the zones??A and B. However, it is revealed that there is a significant difference between the zones when compared against the components and indicators. Community resilience components such as economic, institutional, and physical have received higher index values in Zone B as compared to Zone A. Based on the findings, it is recommended to improve the socioeconomic, institutional, and structural (housing) conditions of the community by raising the community awareness and preparedness, implementing building codes, and providing income-generating activities in order to enhance the community resilience to cope up with earthquake hazards in the future.     

Resilience and organisational institutionalism from a cross-cultural perspective: an exploration based on urban climate change adaptation in Vietnam

Resilience theory has gained considerable prominence with regard to the management of social-ecological systems and more recently climate change adaptation. Yet, how resilience is precisely understood, how its institutionalisation works and how organisations can operationalise principles for achieving resilience often remains vague. Therefore, the paper explores how institutional and organisational theory can enhance the understanding on resilience. Linking organisational institutionalism to resilience theory, the paper analyses in particular how resilience thinking can diffuse and translate into organisational action, and which challenges and barriers may exist. Empirical research on formal urban climate change adaptation in Vietnam is used to explore the important role of distinctive institutional features in a given culture, region or sector for shaping this process. It is argued that such context-specific institutional framework conditions are often underemphasised, thereby, hampering the transferability as well as operationalisation and implementation of resilience propositions. Relevant aspects include epistemological, ontological and normative dimensions. Linking the case study to neoinstitutional theory, recommendations are developed for increasing the intercultural transferability of resilience thinking into organisational practices.     

The six capacities of community resilience: evidence from three small Texas communities impacted by Hurricane Harvey

This article builds upon disaster scholarship that suggests community resilience is driven by six capacities: social, economic, physical, human, institutional, and environmental. Together, these capacities constitute a conceptual framework that can be used to investigate and assess community resilience. While recent scholarship has provided insights into how resilience operates in large communities, there remain questions about whether this conceptual framework is appropriate for the study of resilience in small communities. To narrow this knowledge gap, we conducted interviews with twenty-six subjects from three small Texas communities affected by Hurricane Harvey: City of Dickinson; City of Port Aransas; and Town of Refugio. Analysis of the interview data confirms that the six capacities of resilience provide an appropriate framework for the investigation of resilience in small communities. Given the complex and dynamic nature of community resilience, the findings also suggest that it is unlikely policymakers will be able to develop a unified policy solution for hazard events that is appropriate for all communities. Rather, policymakers need to consider community-based resilience solutions, driven by local strengths and weaknesses, that facilitate the reduction of risks associated with hazard events.

     

Climate disaster resilience of the education sector in Thua Thien Hue Province, Central Vietnam

Recognizing the importance of building disaster resilience for education sector, this study aims to develop a methodology to measure the level of educational resilience to cope with natural disasters and is then applied in Central Vietnam. The assessment tool in this paper is developed through a combination of climate disaster resilience indexes and the 16 tasks of Hyogo framework for action designed for education sector. It looks at five dimensions namely physical conditions, human resources, institutional issues, external relationships, and natural conditions, with each dimension characterized by three parameters and five variables. Findings from this study provide important insights into enhancing resilience of the education system in Thua Thien Hue at the provincial, local, and school levels. By giving the overall resilience situation, it can help policy-makers and practitioners in developing an effective plan to increase the level of educational resilience. In addition, it provides the School Management Board with a means to assess the school??s resilience level and set out priorities that need to be focused on with regard to the improvement of school safety and disaster risk reduction education.     

灾害恢复力研究进展综述

自20世纪以来,随着人口、资源与环境矛盾的日益加深,全球各区域的自然灾害成灾次数、经济损失和受灾人口明显增多,自然灾害灾情不断上升,灾害风险已经成为可持续发展的最大障碍。风险、脆弱性、恢复力和适应性相关的灾害综合管理和减灾作为实施可持续发展的重要途径,已被学术界、经济与社会界予以高度重视。在国际减灾十年（IDNDR）活动、国际减灾战略（ISDR）的相继实施的大背景下,国内外学者兴起了研究灾害脆弱性和恢复力的新一轮热潮。目前国内外对承灾体脆弱性的研究较多,但对于灾害恢复力的恢复力研究才刚刚起步,虽然承灾体的恢复力建设近年来也逐渐被认识到是减灾行动中的一个重要环节。20世纪70年代开始,恢复力这一概念首先从力学被引入生态领域,目前,它已经成为生态、灾害和气候变化等多个学科共同关注的对象。对恢复力的概念发展和国内外目前的研究动态进行了较全面的综述,论述了灾害恢复力的科学价值和重要性,分析了灾害脆弱性与灾害恢复力的关系,总结了恢复力评估的主要方法、特点和难点,并在此基础上对灾害恢复力未来研究进行了展望,提出了研究的关键问题并建议进行更深入的研究。     

Implementing post-earthquake reconstruction plans in China: a resilience perspective

This paper offers a critical investigation on the implementation of reconstruction plans in China following Wenchuan Earthquake through the lens of disaster resilience. The analysis is built upon a resilience in planning framework which consists of nine attributes. Empirical cases of two typical towns in Wenchuan County, Weizhou and Yingxiu, are discussed and compared. This paper upholds an evolutionary perspective of resilience and argues that reconstruction planning is a contested and politically laden field for different stakeholders, such that social aspect resilience is key to understanding plan implementation.

     

Assessing the resilience of Delhi to climate-related disasters: a comprehensive approach

The study addresses disaster risks in Delhi through a resilience approach. It utilizes the Climate Disaster Resilience Index (CDRI) tool, which assesses disaster resilience from five dimensions: physical, social, economic, institutional, and natural. Each dimension comprises 5 parameters, and each parameter consists of 5 variables. The study is carried out in the nine revenue districts of Delhi and reveals that East Delhi is least resilient and New Delhi is most resilient. The CDRI analysis in East Delhi points out the urgent need to focus on key parameters such as housing and land use, population, intensity and frequency of natural hazards, ecosystem services, and land use in natural terms. On the other hand, New Delhi is the most resilient due to all five dimensions, where most significant parameters responsible for its high resilience are housing and land use, population, income, employment, intensity and frequency of natural hazards, ecosystem services, and land use in natural terms. In addition, the overall results of all nine districts show an inverse relationship between resilience score and population density. For example, districts with higher population density show low resilience and vice versa. Moreover, districts located on hazard-prone areas show low resilience. For example, East Delhi and North East Delhi scored low resilience because they both are situated on the Yamuna flood catchment areas. The study further develops key suggestions that are required to address disaster risk in all nine districts of Delhi and discusses future implications of CDRI to address city??s vulnerability. The approach??s distinctness is reflected through its consideration of micro-level diversities and presents some implications to resilience.     

Organizing social resilience in the context of natural hazards: a research note

Organizational scholars increasingly use the term “resilience” to analyze options of dealing with uncertain context conditions. What do these scholars have to offer to researchers in the field of natural hazards? This research note makes three suggestions. First, the research note frames social resilience—in contrast to a rigid response to radical change—as a process of broadening information-based activities, loosening formal controls, and using slack resources of organizational members. Second, the research note argues to leave the meaning of social resilience undefined at the outset of a research project with the aim of building theory about resilience. It is expected that a useful definition emerges in empirical research. Third, organizational studies highlight specific social structures and processes of social resilience, for instance, small groups of individuals in organizational and interorganizational contexts. Organizing becomes a crucial factor for dealing with natural hazards.     

Community resilience,globalization, and transitional pathways of decision-making

This article investigates the impacts of globalization processes on community resilience. It argues that theoretical concepts such as transition theory can provide a lens through which resilience pathways at community level can be better understood, and proposes a framework focused on a social resilience approach for understanding community resilience as the conceptual space at the intersection between economic, social and environmental capital. It argues that certain types of communities are losing resilience through increased embeddedness into globalized pathways of decision-making, while other communities may be gaining resilience, although not one system is either totally resilient or totally vulnerable. Striking the right ‘balance’ between communities and their scalar interactions with the global level is key for maximization of community resilience: while too much isolation of a community may be bad in light of over-dependency on local resources, skills and people, ‘over-globalization’, with possible loss of autonomy and identity, may be equally fraught with problems. In particular, relocalized communities have, so far, not shown much tangible success, as almost all members of the relocalization process at community level are simultaneously embedded within the global capitalist system through their dependencies on global economic processes.     

Rethinking the relationships of vulnerability, resilience, and adaptation from a disaster risk perspective

Vulnerability, resilience, and adaptation are three fundamentally inter-related concepts among such research communities as global environmental/climatic change, social–ecological and disaster risk science. However, their mutual relationships are still unclear so far particularly in the field of disaster risk reduction, which to some extent blocks the reasonable risk analysis and scientific decision making. This paper performed a brief overview on the basic definitions and evolution processes of vulnerability, resilience, and adaptation, and tentatively categorized past diverse thoughts of their relationships into three modalities, such as, vulnerability preference, resilience preference, and overlapped relationships. From a “hit-damage-recovery-learning cycle” insight and based on an empirical case study, we put forward two conceptual frameworks to address the relationships of vulnerability, resilience, and adaptation within the disaster risk domain, and we further discussed their broader implications in terms of disaster risk management and social–ecological sustainability. In an attempt to bring together the analytical frameworks of vulnerability, resilience, and adaptation, this study indicates that a sustainable adaptation strategy to the unavoidable disasters or changes should not only seek to reduce the vulnerability of a social–ecological system, but also to foster its resilience and adaptive capacity to future uncertainties and potential risks.     

Disaster resilience in a flood-impacted rural Australian town

This paper reports exploratory research conducted in a flood-impacted rural Australian town to identify the factors which residents perceived as supporting community resilience to disaster. There is a gap in this research area centred in the Australian disaster context. Since Australia is predicted to be highly impacted by the effects of climate change in the form of an increased incidence of flooding, an urgent need exists to examine the factors that confer resilience to disaster-impacted localities to inform suitable disaster mitigation and adaptation policies for the future. Because of the complexity of community resilience and its interrelationship with individual resilience, a multi-method approach was used: a demographic study to assess community stability and functioning before and after the flood disaster, focus group interviews to obtain from community members their views on what supported them and their community resilience and a survey to generalise the interview findings. Our operating hypothesis was that individuals remaining in the town post-flood were likely to be resilient to the flood disaster. The demographic study results pointed to a resilient community after the floods as they reflected stability in population numbers and socio-economic indicators. The interviews and survey showed that individual resilience was promoted by social connectedness and a sense of place, a factor that was also negatively linked to the desire to relocate from the community. The use of structural equation modelling of our results provided verification of prior research findings about the role of sense of place in supporting individuals’ resilience. Results are discussed in the context of future climate change adaptation policy.     

Disaster community resilience assessment method: a consensus-based Delphi and AHP approach

Natural Hazards - Several studies have highlighted the importance of community resilience in disaster management. The paper focuses on Saudi Arabia and proposes a ‘community resilience to...     

Community resilience to tsunamis along the Southeastern Pacific: a multivariate approach incorporating physical,environmental, and social indicators

Tsunamic events are a frequent hazard to coastal towns. Despite this, the extent to which resilience models can be applied to coastal towns as well as the aspects that should be considered when doing so have not been fully evaluated. There is little information regarding the specific indicators that allow cities to better cope and adapt to the impacts of tsunamis, and this information is especially scarce for developing countries such as Chile. The main objective of this study is to develop a resilience model to explore the extent to which local characteristics influence the resilience of Chilean coastal communities to tsunami hazards. Accordingly, this study presents the Coastal Community Resilience model (The CORE model) for exploring the adaptive capacity of coastal areas affected by tsunamis. This model was then applied to fourteen coastal villages, distributed within four towns, three communes, and two regions of Chile. Data comprising 21 indicators that address the physical, environmental, and social resilience aspects of the villages were obtained on-site and from governmental and municipality databases; these data were then subjected to multivariate analysis in order to determine which indicators most and least affect resilience and whether indicators affect resilience positively or negatively. Variation in resilience among the villages was explained by similarities and differences in the administrative-political, urban, rural, and indigenous characteristics of the study areas. In addition to these results, we discuss land use planning considerations to build community resilience, and we provide insight into the utility of the resilience model proposed here. Overall, our findings shed light on gaps in planning policies and opportunities for planning coastal resilient communities, particularly for those where data of explicit indicators are scarce like in Chile and other developing countries.

     

GIS-based approach for evaluating a community intrinsic resilience index

Natural Hazards - Community resilience refers to the degree to which a community can survive and recover following a disaster. While resilience itself is well understood, decisions that would...     

The diversity of resilience: contributions from a social science perspective

The paper presents contributions to the widespread resilience paradigm from a social science perspective. Certain aspects of social systems, especially their symbolic dimension of meaning, need to be taken into account in the endeavor to research coupled social–ecological systems. Due to the symbolic dimension, disasters are defined as the failure of future expectations, and social resilience is defined as the social system property of avoiding or withstanding disasters. In relation to this, three capacities of social systems (adaptive, coping, and participative) that constitute resilience are presented. The adaptive capacity is the property of a system in which structures are modified to prevent future disasters, whereas the coping capacity is the system’s property of coping with calamitous processes that occurred in the past. The participative capacity is a measure of the system’s ability to change its own structures with regard to interventions by other systems, decreasing the system’s resilience. The concept of resilience provides important epistemological and political insights and can help overcome an orientation tied together with the concept of vulnerability that blocks social capacities for the mitigation of disasters.     

Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China

With the accelerating progress of industrialization, urbanization and population growth in recent decades, community resilience, the ability of communities to function effectively and recover successfully in the aftermath of disasters and shocks, has received great attentions. A number of studies had been conducted focusing on community resilience. This article applied community resilience framework to the coastal areas of China, which are the most densely populated and economically developed areas in China with the most frequent marine disasters. City-level social and economic data were used to construct a community resilience index (CRI). Using factor analysis and the global principal component analysis method, 55 city-level indexes were reduced into 15 factors that explain 73.99% of the variance. Getis–Ord G* Statistics were used to depict the high-value clusters and low-value clusters of the CRI. Clearly identified spatial and temporal variations of the CRI showed that both the overall level and regional differences of the CRI increased from 2003 to 2013; the overall spatial agglomeration characteristic of community resilience was not significant. Our findings also highlighted the key elements to improving community resilience: a robust and developed economic system; excellent education programs and training to improve consciousness on disaster prevention and mitigation; adequate investment on critical infrastructure, especially transportation and communication; proper environmental policies to protect ecosystems and water rouses; and extra attention and disaster risk budgets for vulnerable populations.