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Based on the emerging view of supply chains as complex adaptive systems, this paper aims to build and test an analytical model for resilience assessment surrounding supply chain risks at the level of the supply chain system and its individual tiers.

To address the purpose of this study, a multimethod research approach is adopted as follows: first, data envelopment analysis (DEA) modelling and fuzzy set theory are used to build a fuzzy network DEA model to assess risk resilience of the overall supply chains and their individual tiers; next, the proposed model is tested using a survey of 150 middle- and top-level managers representing nine industry sectors in Iran.

The survey results show a substantial variation in resilience ratings between the overall supply chains characterizing nine industry sectors in Iran and their individual tiers (upstream, downstream and organizational processes). The findings indicate that the system-wide characteristic of resilience of the overall supply chain is not necessarily indicative of the resilience of its individual tiers.

High efficiency scores of a number of tiers forming a supply chain are shown to have only a limited effect on the overall efficiency score of the resulting supply chain. Overall, our research findings confirm the necessity of adopting both the system-wide and tier-specific approach by analysts and decision makers when assessing supply chain resilience. Integrated as part of risk response and mitigation process, the information obtained through such analytical approach ensures timely identification and mitigation of major sources of risk in the supply chains.

Supply chain resilience assessment models rarely consider resilience to risks at the level of individual supply chain tiers, focusing instead on the system-wide characteristics of supply chain resilience. The proposed analytical model allows for the assessment of supply chain resilience among individual tiers for a wide range of supply chain risks categorized as upstream, downstream, organizational, network and external.

The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.

To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model.

A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence.

This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.

Decision-makers, practitioners and community members have a need to assess the disaster resilience of their communities and to understand their own capacities in disaster situations. There is a lack of consensus among researchers as to what resilience means and how it can be measured. This paper proposes a novel technique to achieve consensus among stakeholders on definitions, objectives and indicators for measuring a key dimension of community disaster resilience (CDR), physical infrastructure (PI).

This study uses a five-step approach utilizing Q-methods to contextualize a resilience index for PI. Interviews, focus groups and Q-sorting workshops were conducted to develop a tool that ranked measures according to stakeholder preference. A total of 84 participants took part in the workshops across four countries (United Kingdom, Malaysia, Pakistan and Sri Lanka).

The initial set of 317 measures was reduced to 128 and divided into the three community capacities of anticipatory, absorptive and restorative. The physical infrastructure capacity assessment tool (PI-CAT) was then finalized to have 38 indicators that were also ranked in order of importance by the participants.

The PI-CAT can be useful for local governments and communities to measure their own resilience. The tool allows stakeholders to be confident that the metrics being used are ones that are relevant, important and meet their requirements.

The Q-method approach helps stakeholders to develop and use a community capacity assessment tool that is appropriate for their context. The PI-CAT can be used to identify effective investments that will enhance CDR.

As evacuation is one of the most used response actions to such disasters, it is essential to understand correctly what a resilient evacuation would mean. One critical factor in evacuation resilience is the resilience level of evacuation infrastructures. Also, UN sustainable development has a goal to build resilient infrastructures. This study aims to investigate the characteristics of resilient evacuation infrastructures.

A systematic methodology for reviewing articles has been implemented to understand how vulnerable cities can be more prepared, especially for pedestrian evacuation.

This study has developed an evacuation scoring system framework for pedestrians to investigate evacuation infrastructure in terms of different resilience features, such as redundancy, safe-to-fail, readiness and capacity. The most practical evacuation system will be estimated. The output of this study can provide insight into a final output to provide the features of a successful pedestrian evacuation system for future policy drafting for infrastructure strategy decision-makers.

Climate change has made the risks of natural hazards such as tsunamis more intense for humans. Many people in the world live in hazardous environments and are susceptible to disasters. A community must be prepared to mitigate the destructive event and quickly respond to be called resilient.

This is an original work. The researcher has gone through a deep literature review and developed a cluster showing the features a resilient evacuation infrastructure should have.

The work on bridge resilience assessment includes quantitative and qualitative approaches to compare the multiple bridges based on their resilience. But still, the bridge resilience obtained by these assessment approaches is inefficient when prioritising multiple bridges to improve their resilience. Therefore, this study aims to develop a methodology for prioritising the bridges to improve their resilience.

The research methodology follows three sequential phases. In the first phase, criteria importance through intercriteria correlation (CRITIC) technique is used to compute the criteria weights. The criteria considered are age, area, design high flood level, finish road level FRL and resilience index of bridges. While 12 river-crossing bridges maintained by one bridge owner are considered as alternatives. Then, in the second phase, the prioritisation of each bridge is evaluated using five techniques, including technique for order of preference by similarity to ideal solution, VIKOR (in Serbian, Visekriterijumska Optimizacija I Kompromisno Resenje), additive ratio assessment, complex proportional assessment and multi-objective optimisation method by ratio analysis. Finally, in the third phase, the results of all five techniques are integrated using CRITIC and the weighted sum method.

The result of the study enables bridge owners to deal with the particular bridge that requires resilience improvement. The study concluded that it is not enough to consider only the bridge resilience index to improve its resilience. The prioritisation exercise should consider various other criteria that are not preferred during the bridge resilience assessment process.

The proposed methodology is a novel framework based on the existing multi-criteria decision-making (MCDM) techniques for contributing knowledge in the domain of bridge resilience management. It can efficiently overcome the pitfall of decision-making when two bridges have the same resilience index score.

This paper aims to explore New Zealand construction practitioners’ approaches to organisational resilience practice in built environment discipline, based on survey and interview results. The objective was to explore the resilience practice within the construction sector with the intention of developing a resilient assessment tool specifically for construction organisations.

A literature review was conducted to gather information on assessment tools for measuring organisational resilience, their characteristics and indicators. Subsequently, a set of questions was formulated to collate opinions from construction practitioners in New Zealand, using a questionnaire survey and semi-structured interviews.

This paper concludes by showing that the construction industry lacks resilience practice, especially from an organisational perspective. The findings suggest that the industry would benefit from a resilience assessment tool to help improve resilience. The adoption of such a tool could potentially enhance organisational capacity to recover quickly from crises and disasters.

Improving the resilience of construction organisations to natural disasters not only minimises the negative consequences to their organisations post-disaster and enhances their organisational performance during business as usual but also helps to improve community resilience.

Improving the resilience of construction organisations also helps to improve community resilience and overall post-disaster recovery. However, at present, little research has been conducted on how construction organisations deal with the risk of natural disasters.

This paper aims to discuss the development of two toolkits that were designed to help communities and households measure their level of disaster resilience and provide practical tools to help them increase and maintain these levels.

The toolkits were developed across two studies, with the community toolkit development being undertaken first. A literature review was conducted to develop a definition and model of community disaster resilience; and a Scorecard was designed to assess levels of existing community disaster resilience. The definition and Scorecard were reviewed and refined with the help of two communities before a final version was trialled in four communities across Australia. The household toolkit project followed a similar approach, with trialling being undertaken in conjunction with two non-government organisations that carry out outreach work in the community.

The development and trial of the Scorecards was extremely valuable. The conclusion voiced by communities and reached by the study project teams was that the user-friendly Scorecard is a workable tool for people to assess their household and community disaster resilience and to come together to plan what might further strengthen resilience. Critical to the Scorecards’ success was an understanding of the purpose of the assessment tool and the meaning of resilience.

The toolkits take an all-hazards approach and help community members, individuals and local policymakers to set priorities, allocate funds and develop emergency and disaster management programmes that build local community resilience.

The purpose of this paper is to outline different notions of the term resilience used in scientific disciplines and consequently explore how the concept can be applied to energy systems. The concept of resilience has emerged recently in scientific discourse. The major questions to be addressed are: Which definitions and underlying concepts of resilience are used in the scientific literature? How can resilience be defined with respect to energy systems and which underlying principles can be identified?

Building on this understanding, characteristics of the resilience concept used in various contexts are described and a methodology for selection of an indicator set for an energy resilience assessment is presented. The methodology for a resilience assessment outlined in this paper requires definition and clustering of a set of indicators describing a resilient system. It contributes to understanding system properties and supports the theory of how to improve system resilience.

It is argued that resilience can be defined as a function of vulnerability and adaptability, therefore increasing adaptability or reducing vulnerability can cause higher system resilience. Further attributes, determinants and properties of resilient systems to guide indicator selection and classification are suggested.

Definitions of resilience, vulnerability and adaptability are very much interlinked. A novel framework is proposed to foster the understanding of the interlinkage between these three terms and to cluster indicators to assess energy system resilience.

Value chain analyses that help businesses build competitive advantage must include considerations of unpredictable shocks and stressors that can create costly business disruptions. Enriching value chain analysis with considerations of system resilience, meaning the ability to recover and adapt after adverse events, can reduce the imposed costs of such disruptions.

The paper provides a perspective on resilience as both an expansion and complement of risk analysis. It examines applications of both concepts within current value chain literature and within supply chain literature that may inform potential directions or pitfalls for future value chain investigations. Established frameworks from the broader field of resilience research are proposed for value chain resilience analysis and practice.

The synthesis reveals a need to expand value chain resilience analysis to incorporate phases of system disruption. Current explorations in the literature lack an explicit acknowledgement and understanding of system-level effects related to interconnectedness. The quantification methods proposed for value chain resilience analysis address these gaps.

Using broader resilience conceptualizations, this paper introduces the resilience matrix and three-tiered resilience assessment that can be applied within value chain analyses to better safeguard long-term business feasibility despite a context of increasing threats.

Despite long decades of research studies in the field of urban neighborhood resilience, there are still some unknown dimensions. In this regard, the study aims to develop a new framework for assessment of physical and social resilience at neighborhood level against earthquake.

Accordingly, first all indicators affecting earthquake resilience at neighborhood level have been determined. Subsequently, they have been weighted and prioritized, using analytical hierarchy process technique. One of the neighborhoods of Tehran city in Iran was selected for the case study. Then, four criteria of “robustness,” “redundancy,” “rapidity” and “resourcefulness” were considered as the basis for assessing neighborhood resilience.

It is shown that besides four well-known criteria, four other criteria including “adaptability,” “regularity,” “density” and “efficiency” should also be considered to assess earthquake resilience at neighborhood level. Therefore, a new framework is developed and formulated at this level. Paying attention to all eight criteria, the appropriate interventions to improve resiliency can be addressed.

This study proposes several practical approaches toward the more resilient neighborhoods against earthquakes. By considering the complexity and dynamic characteristics of earthquake resilience, it recommends the implementation of all resilience phases at every neighborhood to increase resilience.

This study proposes a framework in which in addition to physical and tangible indicators of resilience, non-physical and intangible ones are presented. Also, it is shown that besides well-known criteria, other criteria should also be considered using practical and community-based approaches.