Resilience Management Research Articles

“Not enough”: A qualitative analysis of community perceptions of neighborhood government flood management plans using the case of Houston, Texas

Disasters, including floods, have increased in intensity over recent decades due to climate change and urbanization. Some local governments have attempted to engage communities in resilience efforts, referred to as Community-Based Disaster Resilience Management (CBDRM). However, it is unclear to what extent governments can effectively involve local communities in flood management plans, and how much flood management is perceived to be a “shared responsibility,” especially in low-income and minority areas. One city attempting to engage low-income and minority communities is Houston, Texas, which provides an opportunity to study how these efforts play out in the community in real time. Specifically, in this study, we examine Kashmere Gardens, a target neighborhood of the Houston initiative. We used a purposive and snowball sampling method and a grounded theory methodological approach to conduct qualitative in-depth interviews with 22 Kashmere Gardens residents. From this process, we found several themes, including affordability and convenience, neglect and distrust toward government, a lack of awareness concerning government flood management plans, and a sense of personal efficacy in the face of feelings of government neglect. The results of this study suggest that clearer communication from the city and more direct engagement with the community through on the ground programming may be necessary to develop better community trust and partnership in high flood risk areas. In terms of policy, utilizing funds to organize transportation or place meetings physically in the neighborhood, and employing more community organizers from within the community who have local knowledge, may foster better engagement to develop trust.

Modeling and Improvement Strategies for Safety Resilience in Maritime Hazardous Chemical Transportation System Based on Dissipative Structure Theory and System Dynamics

Maritime hazardous chemical transportation accidents have the characteristics of strong suddenness, wide influence, and great harm. To analyze the ability of a maritime hazardous chemical transportation system (MHCTS) to cope with sudden disturbance events, “resilience” is introduced into MHCTS safety research. The key to studying resilience is modeling its evolutionary process. Based on the dissipative structure theory, this study analyzes the entropy flow mechanism of MHCTS safety resilience evolution. Through a statistical analysis of 197 investigation reports on maritime hazardous chemical transportation accidents, the factors influencing the safety resilience of the MHCTS were determined. The entropy value and weight of each influencing factor were calculated using the entropy method and entropy weight method, respectively. Based on this, an entropy model of the safety resilience evolution of the MHCTS was established. The evolution process falls under four categories of disturbance strengths, which were simulated using the system dynamics method. The degree of contribution of absorptive, adaptive, and restorative capacities to the improvement of system safety resilience under four disturbance conditions and the sensitivity of each influencing factor to the absorptive, adaptive, and restorative capacities were analyzed. Based on the analyses, targeted resilience improvement strategies are proposed. The research results provide a theoretical reference for the study of safety resilience mechanisms and resilience management in the MHCTS.

The impacts of rising vapour pressure deficit in natural and managed ecosystems.

An exponential rise in the atmospheric vapour pressure deficit (VPD) is among the most consequential impacts of climate change in terrestrial ecosystems. Rising VPD has negative and cascading effects on nearly all aspects of plant function including photosynthesis, water status, growthand survival. These responses are exacerbated by land-atmosphere interactions that couple VPD to soil water and govern the evolution of drought, affecting a range of ecosystem services including carbon uptake, biodiversity, the provisioning of water resourcesand crop yields. However, despite the global nature of this phenomenon, research on how to incorporate these impacts into resilient management regimes is largely in its infancy, due in part to the entanglement of VPD trends with those of other co-evolving climate drivers. Here, we review the mechanistic bases of VPD impacts at a range of spatial scales, paying particular attention to the independent and interactive influence of VPD in the context of other environmental changes. We then evaluate the consequences of these impacts within key management contexts, including water resources, croplands, wildfire risk mitigationand management of natural grasslands and forests. We conclude with recommendations describing how management regimes could be altered to mitigate the otherwise highly deleterious consequences of rising VPD.

Modern pollen rain reveals differences across forests, open and mosaic landscapes in Madagascar

Societal Impact StatementPalaeoecological investigations are crucial in understanding millennial to centennial land use and land cover change. By analysing the modern pollen rain from four main vegetation types across Madagascar, this research provides baselines for improving the interpretation of pollen records in palaeoecological studies. This study determines the modern pollen‐vegetation relationship in Madagascar and gives a better understanding of the island's landscapes. Despite some spatial limitations, this approach contributes to resolving the debated topic related to the origin of Madagascar's open ecosystems. Knowing the vegetation history prior to and after human settlement would help guide biodiversity management and its associated ecosystem services.Summary Modern pollen rain contributes to calibrating and defining palaeo‐records relative to the current vegetation of diverse landscapes. Quantifying past vegetation change is important to better frame sustainable and resilient management methods of biodiversity considering human needs. In this paper, we aim to assess modern pollen assemblages in different vegetation types in Madagascar and inform how these could contribute to the interpretation of palaeo‐records. We identified modern pollen assemblages from 21 samples across four major vegetation types in Madagascar, including seven (N = 7) newly generated samples from the tropical dry forest in the Northwest region and 14 datasets downloaded from the African Pollen Database website. The downloaded datasets are from core tops representing modern vegetation previously analysed in the tropical dry forests and spiny thickets, the wooded grassland–bushland mosaic and the littoral humid forest. We evaluated the frequency of different taxa in the samples and conducted multivariate analyses to evaluate the similarities and ecological affinities between samples. Pollen rain reflected the main vegetation types across Madagascar and provided information on the current structure and state of the landscape. Regarding the interpretation of pollen records, pollen rain samples revealed that: (i) Open mosaic ecosystems should contain a percentage of at least 40% grass pollen, informing on the origin of the vegetation in older samples and the state of degradation in more recent vegetation reconstructions; and (ii) Anthropogenic vegetation such as plantations are marked by the abundance of pioneer taxa such as Pinus and/or Eucalyptus spp. with a frequency >20%. Our findings improve the interpretations of pollen records and help differentiate past distribution of forest, open and mosaic vegetation, in Madagascar. It will contribute to further research on human practices, land use and into scenarios of conservation planning not only in Madagascar but also across the tropics.

Towards strengthening resilience of organizations by risk management tools: A scientometric perspective on COVID‐19 experience in a healthcare and industrial setting

AbstractDuring the COVID‐19 pandemic, the healthcare system and the global supply chain were exposed to an unpredicted event, which increased awareness about the need of more effective strategies to support decision‐making process and to empower safety barriers. In this work, a combined scientometric and systematic review was performed to analyze tools and methodologies able to combine resilience with more traditional risk assessment, learning from the experience posed by the COVID‐19 crisis. Bibliometric and literature content analyses were carried out focusing on resilience management upon the incoming of an unexpected event. The systematic analysis of the methods and models developed on the basis of different pandemic waves provides a natural guide for future research development.

Stochastic Economic–Resilience Management of Combined Cooling, Heat, and Power-Based Microgrids in a Multi-Objective Approach

The primary goal of a microgrid (MG) operator is to provide electricity to consumers while minimizing costs. For this aim, the operator must engage in the cost-effective management of its resource outputs, which can encompass electrical, thermal, or combined cooling, heat and power (CCHP) systems. Conversely, there has been a growing emphasis on enhancing the resilience of MGs in response to low-probability high-impact (LPHI) incidents in recent years. Therefore, MG-associated energy management strategies have to factor in resilience considerations. While resilience improvement activities increase the operational cost, they lead to a reduction in lost load, and subsequently, a decrease in the MG outage costs, making these activities economically viable. This paper focuses on MGs’ energy management with the primary goals of enhancing resilience, minimizing operational costs, and mitigating active power losses as well as environmental pollution. To attain this goal, various means like renewable resources (specifically photovoltaic (PV) and wind turbine (WT) systems), CCHP, and energy storage devices are integrated. Additionally, for reaching the solution, a genetic algorithm (GA) is implemented. MG operation considers the resilience concept, and according to the obtained results, it is observed that the cost of operation and environmental pollution, respectively, experience an increase about 6.31% and 2.8%. However, due to the reduction in outage costs by an average of 13.91% and power losses by 0.5%, the overall cost is diminished about 5.93%. This cost reduction is achieved through increased CCHP generation and a decreased outage duration during emergencies.

Leverage rule-based Bayesian network on assessing straits/canals resilience performance on a risk coupling analysis perspective

ABSTRACT The maritime transportation system is comprised of several crucial nodes, including straits and canals, which are becoming increasingly susceptible to external emergencies and disturbances. The intricate interactive relationships and non-linear influences among the risk factors pose significant challenges in assessing the resilience performance of these straits and canals. To address these challenges, a four-stage resilience assessment framework was developed to analyze the resilience performance of the straits and canals under uncertain risk coupling scenarios. The framework leverages the advantages of fuzzy logic and Bayesian network, enabling the construction of conditional probability tables and reducing expert judgement inconsistencies. The findings indicate that the Strait of Malacca exhibits higher resilience performance under multi-dimensional risk coupling scenarios. This framework has significant potential in providing valuable insights for risk and resilience management and can be extended to similar industries.

Study on the Mechanism of Safety Risk Propagation in Subway Construction Projects

Under the development trend of complexity and systematization of metro construction, there is an increasing number of risk factors potentially affecting construction safety, which has led to frequent accidents in metro construction projects, and the road to high-quality and sustainable development of metro construction is full of challenges. One of the essential reasons is that the propagation mechanism of safety risk factors in metro construction under hidden and delayed effects is not yet clear. This paper combines the theory of complex network and propagation dynamics and constructs a subway construction safety risk propagation model based on considering the hidden and delayed characteristics of construction safety risk propagation, which reveals the dynamic propagation law of subway construction safety risk and puts forward feasible coping strategies. The findings evince that the delay time T significantly affects the propagation behavior of risk and the achievement of the equilibrium state in the network. The transmissibility of the risk factor within the hidden state holds a pivotal sway over the entirety of risk propagation, and the latency in transmission significantly expedites the propagation of risk throughout the network. It is recommended that project managers monitor and warn safety state nodes and hidden state nodes to block the spread of risk in the network and control the delay time of risk in the network in time to reduce the probability of risk occurrence. This study significantly promotes the resilient management of safety risks in metro construction.

Integrating Natural and Social Sciences for Urban Resilience and Sustainability

Because of the differences in lifestyles, livelihoods, ecological conditions, natural environment, and social environment, etc., between urban areas and rural areas, the priorities for resilience and sustainability will also be different. Due to climate change, the economy under various conditions of development and cultural changes, urban areas or urbanized villages must face issues such as sustainability maintenance and resilience adjustment will be much more sensitive and with higher uncertainties. In fact, there are similarities and differences between sustainability and resilience, therefore, the response methods adopted to deal with issues such as the natural environment and social organizations will also vary depending on factors such as urgency and time competition, sometimes the two are positively correlated, sometimes they are negatively correlated, and sometimes they may be morphologically unrelated, therefore, some innovations will be necessary to be considered, and which will also be discussed in this article. Two applications are presented for the sustainability and resilience on urban area are expressed to show the applicability and the relationships between sustainability and resilience. The twins, sustainability and resilience, may initially proceed in opposite directions (negative correlation) on the timeline of plan execution.
 Two applications on “The Catchment Management with Flood Control Infrastructure” and “The COVID-19 on the Management of Sustainability and Resilience in Taiwan” are presented for the sustainability and resilience on urban area are expressed to show the applicability and the relationships between sustainability and resilience.
 During the execution process, there will be a period when the two pairs develop independently, but in the end, they will proceed in the same direction (positive correlation). This is something worthy of our attention.

Assessing health care leadership and management for resilience and performance during crisis: The HERO-36.

Whereas organizational literature has provided much insight into the conceptual and theoretical underpinnings of organizational leadership and management during emergencies, measures to operationalize related effective practices during crises remain sparse. To address this need, we developed the Healthcare Emergency Response Optimization survey, which set out to examine the leadership and management practices in health care organizations that support resilience and performance during crisis. We administered an online survey in April to May 2022 to health care administrators and frontline staff intimately involved in their hospital's emergency response during the COVID-19 pandemic, which included a sample of 379 respondents across nine rural and urban hospitals (response rate: 44.4%). We used confirmatory factor analysis and quantile regressions to examine the results. Applying confirmatory factor analysis, we retained 36 items in our survey that comprised eight measures for formal and informal practices to assess crisis leadership and management. To test effectiveness of the specified practices, we regressed self-reported resilience and performance measures on the formality and informality scores. Findings show that informal practices mattered most for resilience, whereas formal practices mattered most for performance. We also identified specific practices (anticipation, transactional and relational interactions, and ad hoc collaborations) for resilience and performance. These validated measures of organizational practices assess emergency response during crisis, with an emphasis on the actions and decisions of leadership as well as the management of organizational structures and processes. Organizations using these measures may subsequently modify preparedness and planning approaches to better manage future crises.

Links Between Risk Source Identification and Resilience Capability Building in Agri-Food Supply Chains: A Comprehensive Analysis

Agri-food supply chain (AFSC) resilience is receiving increasing attention as AFSC stakeholders perceive its benefits in recovering from unexpected disruptions. However, which resilience capabilities are more effective in mitigating AFSC risks remains unclear. To address this gap, this article presents a novel AFSC risk and resilience analysis based on a systematic literature review (SLR). In total, 95 journal articles on AFSC risk and resilience management published between 2004 and 2020 are analyzed to identify key risks and resilience capabilities in AFSCs, the relationships, correlations and causalities between them, and research gaps and future research directions in the field. Our SLR reveals eight types of AFSC risk and seven types of AFSC resilience capability, and enables us to develop a one-to-one resilience-risk correspondence model. Suggestions for future research include: cross-country comparative analysis to gain a deeper understanding of risk and resilience management; identification of risk and resilience strengthening strategies through a multi-sectoral approach; longitudinal studies to determine the long-term effects of resilience capabilities; research to understand resilience from the perspectives of supply-chain collaboration, traceability, redundancy, knowledge management, innovation, leadership, and flexibility; investigations of the positive effects of AFSC risks in triggering resilience capabilities; and cross-disciplinary research to understand the relationships between resilience and other disciplines.

Spatial-temporal variation, driving mechanism and management zoning of ecological resilience based on RSEI in a coastal metropolitan area

Urbanization results in drastic land use/cover change (LUCC) and ecological resilience (ER) issues, which has become an important and urgent question of regional sustainability. This study applied the remote sensing ecological index (RSEI) to represent the ER, and further combined ordinary least squares (OLS), and the Google Earth Engine (GEE) platform to analyze the spatiotemporal variations of ER and LUCC at the regional and city scales from 1990 to 2020 in Hangzhou Bay Metropolitan Area (HBMA), explore the relationship between ER and LUCC, and apply for urban resilience management zoning. The results demonstrated that the ER in HBMA showed a characteristic of “slightly worse overall and improved locally”, the mean value of which decreased from 0.508 in 1990 to 0.502 in 2020. Specifically, the ER in Shanghai, Shaoxing, and Ningbo increased, and others decreased. ER exhibited a very obvious spatial aggregation feature of “high value in the southwest and low value in the northeast”. The spatiotemporal dynamic feature of LUCC from 1990 to 2020 depicted that the expansion of construction land was at the expense of occupying cropland. The LUCC degree and population have significant negative effects on the ER. The ER management zoning of HBMA could be divided into five zones, namely the ecological core protection area, ecological monitoring area, ecological optimization area, ecological restoration area, and ecological potential governance area. Results of this study could provide a more comprehensive understanding of ER change in metropolitan areas and the implication of resilience management was provided to improve the adaptation and sustainable development of the coastal urban area.

Определение параметров агент-ориентированной модели резильентного управления промышленностью России

The purpose of the work is to establish the parameters of an agent-based model of the industrial complex of the Russian Federation for resilient management of its functioning. To achieve this goal, a number of tasks were completed. A theoretical basis for the main provisions of the study is given. The author's definition of industry resilience is proposed. Analyzed crisis periods in the development of the Russian economy (1998, 2008, 2014-15, 2020, 2022) and the features of industrial development during these periods were clarified. The stages of crisis periods in the development of Russian industry over the past decades have been identified. The parameters of the industrial system that respond to shock fluctuations of crises and control indicators have been established. A spectral analysis was performed to assess the adequacy of the response of the phase vector parameters to shock fluctuations of crisis phenomena. Regression equations were constructed to identify the parameters of the model of resilient industrial management in Russia. The quality of the equations was assessed. The possibility of their use for estimating control system parameters and making forecasts is substantiated. The resulting statistical models can be used to build an agent-oriented model of the Russian industrial resilient management.

Moving from an integrated coastal management approach to a transdisciplinary coastal management approach: A review of case study in Indonesia

Coastal areas, small islands, and oceans play a vital role in the Earth’s support systems, harboring rich biodiversity. However, human activities, both direct and indirect, pose significant threats to these ecosystems. In rural regions, traditional coastal area management practices like sasi, awig-awig, sea commanders, and establishing prohibited areas are often utilized. As communities evolve and activities intensify, management strategies have shifted from community-based approaches to sectoral management, which has proven ineffective in ensuring resource sustainability.The concept of Integrated Coastal Management (ICM) emerged in the early ’90s as a collaborative approach involving various sectors, disciplines, and communities. Unfortunately, initial attempts at ICM encountered challenges and failed to adequately sustain resources and ecosystems. In response, a transdisciplinary approach to natural resource management has gained traction, focusing on holistic and sustainable solutions.This paper aims to review Indonesia’s experiences in coastal and small island management, drawing insights from existing literature. It highlights the need for transdisciplinary research to address complex coastal challenges effectively. By integrating diverse perspectives and knowledge domains, transdisciplinary approaches can enhance the sustainable management of coastal areas and support ecosystem resilience.

Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic

In practice, an increased interest into end-to-end visibility as a future-oriented driver and capability of resilient supply chains can be observed. However, the research in this area is in its infancy. Even less is understood about resilience and the potentials of a digital supply chain in pandemic settings. Based on an analysis of the relevant literature supplemented with the multiple case studies constructed with the use of primary data, we build a framework that could be instructive for supply chain managers seeking to manage resilience during pandemic disruptions and using digital technology. Our main methodological contributions are unlocking the value and potentials of end-to-end supply chain visibility for resilience management in the face of pandemic disruptions. We propose an associated design and implementation framework containing multiple dimensions—management, organizational, and technological. The outcomes of the article offer a conceptual guideline concerning the potentials and implementation of end-to-end visibility in the management of supply chain resilience.

How to conceptualize the connotation of “resilience – risk” for critical infrastructures? An exploratory theoretical framework

Critical infrastructures (CIs) play an important role in urban economic development and the maintenance of social stability. In recent years, with the increase in natural and man-made risk events affecting CI operations, CI risk management is facing severe challenges and gradually transitioning to CI resilience management. However, the connotation of “resilience - risk” for CIs is still not clearly conceptualized. To address this problem, an exploratory theoretical framework is constructed, including three stages of system resilience identification, resilience impact analysis and connotation element extraction. Subsequently, based on the constructed framework, probability, consequence, and resilience-based scenario that align with the resilience characteristics and impact analysis results are extracted as connotation elements to define a triplet spatial-temporal evolution function of “resilience - risk”. This study can provide a theoretical reference for better understanding the relationship between CI resilience and CI risk.

Sustainability-controlled measures for resilient management of fresh and short food startups supply chain

The goal of this review study is to look into the most important sustainable practices that fresh food startups can use to improve their resilience and environmental responsibility. It also aims to identify the difficulties and impediments these companies face when putting these sustainable strategies into effect. Fresh food startups can integrate several sustainable techniques and innovations into their operations, as identified by the study. These include using IoT technology to enhance supply chain management and implementing packaging with a modified environment to keep goods fresher for longer. The review also emphasizes the difficulties these firms have had putting these strategies into practice. The review's findings have important real-world ramifications for fresh food entrepreneurs. Through the development and improvement of their sustainability initiatives, they can make their business operations more robust and ecologically conscious. This review adds to the corpus of current knowledge by methodically analyzing the most recent advancements in fresh food supply chains, particularly with regard to startups. It illuminates the particular difficulties they encounter in promoting sustainability, making it an important and novel contribution to the area.

Challenges in Healthcare Supply Chain Resilience Management : A Conceptual Framework

The healthcare supply chain (HSC) is a complex and dynamic system that plays a critical role in ensuring the delivery of essential medical products and services to patients. This system faces numerous challenges that can harm the healthcare system, leading to treatment delays, patient dissatisfaction, and increased costs. Additionally, the ageing population and the rising prevalence of chronic diseases are increasing the criticality of the HSC. Three promising avenues of future research are emerging to address these challenges in the HSC: resilience, collaboration and visibility, and the use of technology. The current research is based on a literature review of HSC challenges and opportunities, highlighting the importance of a comprehensive approach to HSC management. This research presents a conceptual framework integrating resilience, collaboration, visibility, and technologies that can provide a roadmap for future research in the field. By focusing on these aspects, organisations can create a more efficient, effective, and resilient HSC better equipped to meet the needs of patients.

Establishing a Pregnancy Lyme Disease Biobank.

Availability of relevant biological samples supports both basic science research and patient-centered clinical studies. Establishing a biorepository faces challenges at multiple levels. These tasks include defining mission definition and scope; selection of subjects and sample types; recruitment strategies; timing of collection in the patient's journey; sample logistics and processing; determining what clinical data to collect; ensuring sample integrity on transport, processing, and storage; defining governance structures and oversight responsibilities; clarifying sample provenance and ownership; establishing procedures for sample and data access; selecting testing to be performed routinely versus upon request, and management of results; data security; funding sources; and regulatory compliance. Establishing and maintaining a biorepository therefore requires careful planning, diligent and sustained execution, technical and financial resources, stakeholder support, and flexible and resilient management to respond to changing environments and needs.

Wetland city accreditation in Nepal: an approach to wetland management for livable cities and urban resilience

Wetland city accreditation in Nepal: an approach to wetland management for livable cities and urban resilience