Understanding and enhancing future infrastructure resiliency: a socio‐ecological approach

The resilience of any system, human or natural, centres on its capacity to adapt its structure, but not necessarily its function, to a new configuration in response to long‐term socio‐ecological change. In the long term, therefore, enhancing resilience involves more than simply improving a system's ability to resist an immediate threat or to recover to a stable past state. However, despite the prevalence of adaptive notions of resilience in academic discourse, it is apparent that infrastructure planners and policies largely continue to struggle to comprehend longer‐term system adaptation in their understanding of resilience. Instead, a short‐term, stable system (STSS) perspective on resilience is prevalent. This paper seeks to identify and problematise this perspective, presenting research based on the development of a heuristic ‘scenario–episode’ tool to address, and challenge, it in the context of United Kingdom infrastructure resilience. The aim is to help resilience practitioners to understand better the capacities of future infrastructure systems to respond to natural, malicious threats.     

Building sustainable & resilient communities: a balancing of community capital

Working toward sustainable community is a complex task for communities especially given the ambiguous nature of implementing the concept of sustainable development. However, by working to understand the nature of community capital, administrators can begin to move beyond bottom line thinking toward a more comprehensive and collective view of community. This paper presents a theoretical framework that helps municipal decision makers begin collecting information they need to help them build sustainable and resilient communities.

基于动态综合评价的区域环境风险差异化管理

借鉴灾害风险管理理论,运用“纵横向拉开档次法”和“时序加权平均算子法”构建了区域环境风险动态综合评价模型,提出了“风险评价-等级分区-差异化管理”的区域环境风险管理方法,并以河南省为案例研究对象,开展河南省18个市级单元环境风险的动态综合评价和“差异化”管理研究.结果显示：（1）郑州、许昌、漯河等市综合环境风险指数最高,分别为13.79、13.46和13.28,信阳、南阳和三门峡等市综合环境风险指数最低,分别为4.15、4.16和5.01;（2）采用系统分层聚类法将河南省18个市级单元聚为5类环境风险等级区,其中,郑州、许昌、漯河等属于高风险区;焦作、濮阳、鹤壁等属于较高风险区;安阳、开封属于中风险区;平顶山、商丘、周口等市属于较低风险区;洛阳、三门峡、南阳等市属于低风险区;（3）根据河南省各市环境风险等级及主导因素的差异,遵循高、较高风险区“重点控制、优先管理”、中低风险区“逐步控制、加强防范”的原则,提出了“差异化”的风险管理方案.研究结果表明,该方法不仅可实现区域环境风险动态综合评价,识别区域环境风险主要贡献因子,而且“差异化”的风险管理方案更符合地方经济社会环境协调发展的实际需求.     

The concept of resilience in OSH management: a review of approaches

The concept of resilience has become very popular, especially in the 21st century. This concept is applicable to many fields, from mechanics to a broad range of social sciences. Resilience has even become part of the national and global policies of the USA, the United Nations and the European Commission. The concept of resilience has also been implemented in the area of safety and health based on the criticism of the traditional approach to occupational safety and health, which does not result in a satisfactory level of occupational safety. The concept of resilience was adopted to research occupational safety and health in different fields and thus with different approaches, such as via socio-technical studies, the psychological and behavioral aspects of organizational resilience and the link with research on individual or family resilience and its influence on work.     

Community resilience to natural disasters in the informal settlements in Mwanza City,Tanzania

The impacts of natural disasters on communities living in hazard prone areas are wide ranging and complex. In Mwanza, steep slopes, rocky hills and river valleys are inhabited by society's poorest people. These areas are prone to natural disasters. Residents have accumulated coping mechanisms for disaster risks and impact reduction. We combine spatial data, household surveys and data from focus groups to identify and rank areas based on their exposure to major disasters. We also examine household and communal mitigation efforts in relation to these disasters. Most areas of the city are exposed to at least one of the natural disasters studied. Pre- and post-disaster risk reduction measures are influenced by the site of homesteads and the socioeconomic situation of households. Current resilience measures are skewed towards the development of physical infrastructure. The challenge of reducing disaster risks in Mwanza involves recognizing the role of non-infrastructure based factors that promote urban resilience to natural disasters.     

Anthropogenic areas as incidental substitutes for original habitat

One speaks of ecological substitutes when an introduced species performs, to some extent, the ecosystem function of an extirpated native species. We suggest that a similar case exists for habitats. Species evolve within ecosystems, but habitats can be destroyed or modified by natural and human‐made causes. Sometimes habitat alteration forces animals to move to or remain in a suboptimal habitat type. In that case, the habitat is considered a refuge, and the species is called a refugee. Typically refugee species have lower population growth rates than in their original habitats. Human action may lead to the unintended generation of artificial or semiartificial habitat types that functionally resemble the essential features of the original habitat and thus allow a population growth rate of the same magnitude or higher than in the original habitat. We call such areas substitution habitats and define them as human‐made habitats within the focal species range that by chance are partial substitutes for the species’ original habitat. We call species occupying a substitution habitat adopted species. These are 2 new terms in conservation biology. Examples of substitution habitats are dams for European otters, wheat and rice fields for many steppeland and aquatic birds, and urban areas for storks, falcons, and swifts. Although substitution habitats can bring about increased resilience against the agents of global change, the conservation of original habitat types remains a conservation priority.     

A two step fuzzy model for the assessment and ranking of organizational resilience factors in the process industry

The evaluation and ranking of resilience factors (RFs) in an uncertain environment has important implications for the management of any enterprise. Determining an improvement strategy of business process resilience is based on the obtained rank of RFs, and it presents a key success factor for an enterprise in dealing with crisis. The complexity and importance of the treated problem calls for analytic methods rather than intuitive decisions. The relative importance of business processes and the relative importance of RFs under each business process are stated by fuzzy pair-wise comparison matrices. The elements of these matrices are triangular fuzzy numbers (TFNs). The fuzzy Analytic Hierarchy Process (FAHP) is used for determination of relative weights of existing variables. The rank of RFs is obtained by using the extent fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). The real life application on the selection of the management team shows the practical implications in the process industry.     

Indicators of urban climate resilience: A contextual approach

As urban populations grow and climate exposure increases, more cities are introducing formal planning processes to adapt to climate change. This paper explains the process applied to eight cities in the Asian Cities Climate Change Resilience Network (ACCCRN) for developing indicators for planning and monitoring local climate resilience. This process relied on transferring a common conceptual framework for climate resilience, together with a locally led iterative and collaborative process that engaged technical and planning authorities and vulnerable groups. The process varied slightly between cities and generated indicators that were chosen for their contextual fit and availability of data. The main benefit of developing resilience indicators in this way was the local capacity that the process built, in terms of understanding resilience, shared understanding of concepts and measurement and establishment of a common platform for future planning and monitoring of climate adaptation interventions at the city level.     

Adaptive Comanagement of a Marine Protected Area Network in Fiji

Adaptive management of natural resources is an iterative process of decision making whereby management strategies are progressively changed or adjusted in response to new information. Despite an increasing focus on the need for adaptive conservation strategies, there remain few applied examples. We describe the 9‐year process of adaptive comanagement of a marine protected area network in Kubulau District, Fiji. In 2011, a review of protected area boundaries and management rules was motivated by the need to enhance management effectiveness and the desire to improve resilience to climate change. Through a series of consultations, with the Wildlife Conservation Society providing scientific input to community decision making, the network of marine protected areas was reconfigured so as to maximize resilience and compliance. Factors identified as contributing to this outcome include well‐defined resource‐access rights; community respect for a flexible system of customary governance; long‐term commitment and presence of comanagement partners; supportive policy environment for comanagement; synthesis of traditional management approaches with systematic monitoring; and district‐wide coordination, which provided a broader spatial context for adaptive‐management decision making. Co‐Manejo Adaptativo de una Red de Áreas Marinas Protegidas en Fiyi     

Marshaling Adaptive Capacities within an Adaptive Management Framework to Enhance the Resiliency of Wastewater Systems

We assess adaptive capacity and adaptive management as measures of wastewater (WW) system resiliency using data from interviews with WW system managers (hereafter managers) impacted by past storms. Results suggest the most resilient WW systems are those with high adaptive capacities that employ an adaptive management approach to make ongoing adaptation investments over time. Greater amounts of generic adaptive capacities (i.e., skilled staff and good leadership) help smooth both day‐to‐day and emergency operations and provide a foundation for adaptive management. In turn, adaptive management helps managers both build more generic adaptive capacities, and develop and employ greater amounts and diversity of specific adaptive capacities (i.e., soft and/or hard adaptations) that are especially important for enhancing and sustaining resiliency. Adaptive management also enables managers to better understand their system's vulnerabilities, how those vulnerabilities change over time, and what specific actions may reduce those vulnerabilities. Finally, our work suggests WW system resilience critically depends on the capacities of the human systems for building resilience as much as or more so than relying only on physical infrastructure resilience. Our work contributes to filling an important gap in the literature by advancing our understanding of the human dimensions of infrastructure resilience and has practical implications for advancing resilience in the WW sector.