A Critical Review of Community Resilience Building Framework: Contexts of Climate Change and Disasters in Bangladesh

The concept of community resilience in the contexts of climate change and disasters draws increasing attention and interest from practitioners and researchers in recent development discourse. This paper provides a critical review of six selected frameworks of community resilience building operationalized in Bangladesh over the span of years. In other words, this study aims to contribute to the understanding of resilience through a systematic analysis of the dimensions and indicators of community resilience frameworks. The analysis shows that comprehensive and effective community resilience frameworks should incorporate the missing components linked to fundamental elements of good governance, economic growth, environmental sustainability, social transformation, and capacity development. The paper concludes by highlighting a few other areas of grave concern that need more appropriate attention, considering the severe threats posed by climate change and natural disasters in line with sustainable development goals. Finally, this study recommends further research regarding the effectiveness of these frameworks in different climatic and disaster contexts that can lead the concept into a new dimension of community resilience and sustainability.

Community Renewal Strategy for Improving Community Resilience:A Case Study of River Ring Area of Caoyang New Village in Shanghai

In a new round of urban renewal,China’s urban space expansion is shifting from incremental development to inventory mining.Residents’ demands for improvement of community material environment and community cultural identity are increasing.Meantime,affected by the COVID-19 pandemic in 2019,community resilience has become an urgent problem to be solved in urban communities.Based on resilience theory,TOD theory and other planning concepts,the paper analyzes the vulnerability of Shanghai Caoyang river ring area,and puts forward a multi-level community resilience improvement strategy,including increasing diversified public service facilities,building public pedestrian network,and reshaping public open space to improve the stability,adaptability and resilience of the community,in order to build the development path of resilient communities.The study will provide inspiration for future micro-renewal of communities and promote the sustainable development of urban communities.

An indicator model for assessing community resilience to the COVID-19 pandemic and its validation: A case study in Hong Kong

The COVID-19 outbreak had a significant negative impact on the world,and the fifth wave of COVID-19 in Hong Kong brought a considerable shock to Chinese society.There is a growing call for more resilient cities.However,empirical evidence and validation of modeling studies of resilience indicators for urban community responses to the COVID-19 pandemic still need to be provided.In this study,a resilience assessment indicator model comprising 4 subsystems,7 indicators,and 12 variables was developed to assess the resilience of Hong Kong communities in response to COVID-19(i.e.,Resilience Index).Furthermore,this study utilized regression models such as geographically weighted regression(GWR)and multiscale GWR(MGWR)to validate the resilience model proposed in this study at the model and variable levels.In the regression model,the Resilience Index and the individual variables in the resilience model are explanatory variables,and the outcomes of the COVID-19 pandemic(confirmed cases,confirmation rate,discharged cases,discharge rate)are dependent variables.The results showed that:(i)the resilience of Hong Kong communities to the COvID-19 pandemic was not strong in general and showed some clustered spatial distribution characteristics;(i)the validation results at the model level showed that the Resilience Index did not explain the consequences of the COvID-19 pandemic to a high degree;(ii)the validation results at the variable level showed that the MGWR model was the best at identifying the relationships between explanatory variables and the dependent variable;and(iv)compared with the model-level assessment results,the variable-level assessment explained the consequences of the COvID-19 pandemic better than the model level assessment results.The above analysis and the spatial distribution maps of the resilience variables can provide empirically based and targeted insights for policymakers.

Big Earth Data for quantitative measurement of community resilience:current challenges,progresses and future directions

Quantitative assessment of community resilience can provide support for hazard mitigation,disaster risk reduction,disaster relief,and long-term sustainable development.Traditional resilience assessment tools are mostly theory-driven and lack empirical validation,which impedes scientific understanding of community resilience and practical decision-making of resilience improvement.In the advent of the Big Data Era,the increasing data availability and advances in computing and modeling techniques offer new opportunities to understand,measure,and promote community resilience.This article provides a comprehensive review of the definitions of community resilience,along with the traditional and emerging data and methods of quantitative resilience measurement.The theoretical bases,modeling principles,advantages,and disadvantages of the methods are discussed.Finally,we point out research avenues to overcome the existing challenges and develop robust methods to measure and promote community resilience.This article establishes guidance for scientists to further advance disaster research and for planners and policymakers to design actionable tools to develop sustainable and resilient communities.

Attributes,challenges and future directions of community resilience

With the continuous development of human society, the damage to the natural environment is becoming increasingly large, causing crisis events to occur frequently. In recent years, the study of community resilience is becoming popular among scholars because of its perspective on disaster prevention and mitigation. In this study, we apply database retrieval to untangle community resilience-related papers from multiple directions. We analyze the connotation, attribute, and composition of community, resilience, and community resilience comprehensively by summarizing important issues and research progress in community resilience. Challenges and shortcomings faced by community resilience development are also determined. Moreover, we put forward the research directions that future research can focus on. Through literature review, current research on community resilience focuses on the following aspects: "infrastructure construction," "crowd in the community," "economic resilience,""social capital," and "measurement of community resilience." Such research is not yet systematic and relatively decentralized. The attention to collective resilience in the community is relatively weak, which makes achieving the goal of "people-oriented and systematic control" difficult.Therefore, this study states that the development of future community resilience should stand from the perspective of"system of system" and build on knowledge and tools of various relevant domains. Therefore, public needs and participation are highlighted as breakthrough points. The research should integrate infrastructure and economic resilience, social resource allocation, network connection,and other aspects to build a holistic and functional resilient community.

Geographical Analysis of Community Resilience to Seismic Hazard in Southwest China

This article presents an explorative analysis of community resilience to seismic hazard in the 2008 Wenchuan Earthquake area of Southwest China. We used a regression model to analyze the impact of 13 key socioeconomic and demographic variables on community resilience in 105 counties, based on data derived from population census and provincial statistical yearbooks of China. In this research, we argue that community resilience should be measured by the change of population growth rate(Ddp) instead of population growth rate(dp) when using socioeconomic data from a fast-growing country such as China. Using Ddp as the dependent variable resulted in a better regression model. To avoid the common multicollinearity problems among the independent variables, a principal component-based factor analysis was used to consolidate the socioeconomic variables into four comprehensive factors. The geographically weighted regression coefficient maps revealed the spatial pattern of the association of the variables with resilience. We also used the K-means cluster method to segment the study area into four subregions that exhibit localized characteristics defined by the regression coefficients. In this way, we could infer location-sensitive disaster management policies that help to enhance social resilience to seismic hazards.

Measuring Community Resilience During the COVID-19 Based on Community Wellbeing and Resource Distribution

The COVID-19 pandemic has severely harmed every aspect of our daily lives,resulting in a slew of social problems.Therefore,it is critical to accurately assess the current state of community functionality and resilience under this pandemic for successful recovery.To this end,various types of social sensing tools,such as tweeting and publicly released news,have been employed to understand individuals’and communities’thoughts,behaviors,and attitudes during the COVID-19 pandemic.However,some portions of the released news are fake and can easily mislead the community to respond improperly to disasters like COVID-19.This paper aims to assess the correlation between various news and tweets collected during the COVID-19 pandemic on community functionality and resilience.We use fact-checking organizations to classify news as real,mixed,or fake,and machine learning algorithms to classify tweets as real or fake to measure and compare community resilience(CR).Based on the news articles and tweets collected,we quantify CR based on two key factors,community wellbeing and resource distribution,where resource distribution is assessed by the level of economic resilience and community capital.Based on the estimates of these two factors,we quantify CR from both news articles and tweets and analyze the extent to which CR measured from the news articles can reflect the actual state of CR measured from tweets.To improve the operationalization and sociological significance of this work,we use dimension reduction techniques to integrate the dimensions.

A Proposed Methodological Approach for Considering Community Resilience in Technology Development and Disaster Management Pilot Testing

Nowadays,resilience has become an indispensable term in several aspects and areas of research and life.Reaching consensus on what actually constitutes"resilience,""community,"and"community resilience"is still a task that guarantees a vivid exchange of opinions,sometimes escalating into debates,both in the scientific community and among practitioners.Figuring out how to practically apply resilience principles goes even a step further.This study attempts to circumvent the need for a universal agreement on the definition of"community resilience,"which may still be immature,if not impossible,at this time.We accomplish this by proposing a practical methodological approach with concrete methods on how to agree and implement commonly accepted community resilience principles in the context of technology development and pilot testing for disaster management.The proposed approach was developed,tested,and validated in the context of the Horizon 2020 EU-funded project Search and Rescue.Major aspects of the approach,along with considerations for further improvement and adaptation in different contexts,are addressed in the article.

Multi-Agent Based Stochastic Dynamical Model to Measure Community Resilience

Emergency services and utilities need appropriate planning tools to analyze and improve infrastructure and community resilience to disasters.Recognized as a key metric of community resilience is the social well-being of a community during a disaster,which is made up of mental and physical social health.Other factors influencing community resilience directly or indirectly are emotional health,emergency services,and the availability of critical infrastructures services,such as food,agriculture,water,transportation,electric power,and communications system.It turns out that in computational social science literature dealing with community resilience,the role of these critical infrastructures along with some important social characteristics is not considered.To address these weaknesses,we develop a new multi-agent based stochastic dynamical model,standardized by overview,design concepts,details,and decision(ODD+D)protocol and derived from neuro-science,psychological and social sciences,to measure community resilience in terms of mental and physical well-being.Using this model,we analyze the micro-macro level dependence between the emergency services and power systems and social characteristics such as fear,risk perception,informationseeking behaviour,cooperation,flexibility,empathy,and experience,in an artificial society.Furthermore,we simulate this model in two case studies and show that a high level of flexibility,experience,and cooperation enhances community resilience.Implications for both theory and practice are discussed.

Resilience Evaluation of Housing Estates from the Perspective of Epidemic Prevention:A Case Study of A District in Handan City

The outbreak of COVID-19 at the beginning of 2020 has a great impact on public health security at home and abroad.Community is the basic unit of urban epidemic prevention,and improving community resilience is of great significance for reducing the spread of the epidemic and maintaining the normal life of residents during the epidemic.Based on the concept of resilience,10 indicators were selected from four dimensions of urban space,including facilities,space,nature and society,to construct a community resilience evaluation indicator system for epidemic prevention,and 56 housing estates in Congtai District,Handan City,were selected for scientific evaluation.The results showed that the overall resilience of this region was relatively low and the resilience index decreased from southwest to northeast with the degree of urban development.The accessibility of urban open space,the proportion of redundant space area and the area of public space per capita had the lowest resilience index.Finally,policy suggestions were put forward to improve the resilience of housing estates in the region,so as to promote the steady progress of the city towards the agenda for sustainable development.

Geospatial Analysis of Flood Vulnerability Levels Based on Physical Characteristics and Resilience Capacity of Peri-Urban Settlements in Nigeria

Flooding is becoming a yearly reoccurring event in many communities and cities in Nigeria, leading to the destruction of properties and deaths;hence, we must take measures to either prepare for the impact or curb the occurrence. The study identified flood vulnerability levels of communities in Isoko North LGA based on physical environmental domains such as land use, elevation, and proximity to river channel (drainage) using geospatial techniques. Also, attributes that could contribute to the resilience capacity building of the communities were assessed. From the study, 73.93% of the entire area is moderately and highly vulnerable to flood, while among the communities, seventeen (17) are categorized as moderately vulnerable, and four (4) are lowly vulnerable. The overall resilience capacity of the communities indicated can build a substantial capacity towards community resilience (3.02, 0.06). However, there is a need to encourage collaboration with stakeholders to improve mitigation action and enhance various shortcomings toward resilience capacity building.

Restimate:Recovery Estimation Tool for Resilience Planning

The U.S.National Institute of Standards and Technology(NIST)published the Community Resilience Planning Guide in 2016.The NIST Guide advocates for a participatory process for developing a performance measurement framework for the jurisdiction’s resilience against a scenario hazard.The framework centers around tables of expected and desired recovery times for selected community assets,such as electricity,water,and natural gas infrastructures.The NIST Guide does not provide a method for estimating the expected recovery times.However,building high-fidelity computer models for such estimations requires substantial resources that even larger ju-risdictions cannot cost-justify.The most promising approach to recovery time estimation is to systematically use data elicited from people to tap into the wisdom of the(knowledgeable)crowd.This paper describes a novel research-through-design project to enable the computer-supported elicitation of recovery time series data.This work is the first in the literature to examine people’s ability to estimate recovery curves and how design in-fluences such estimations.Its main contribution to resilience planning is three-fold:development of a new elicitation tool called Restimate,understanding its potential user base,and providing insights into how it can facilitate resilience planning.Restimate is the first tool to enable evidence-based expert elicitation in any community with limited resources for resilience planning.Beyond resilience planning,those who facilitate high-stakes planning activities under large uncertainties(e.g.,mission-critical system design and planning)will benefit from a similar research-through-design process.

Spatial dynamics and Palestinian resilience:The lifestyle of Al-Kurshan Bedouins in Bethlehem District

This study explores the role of Bedouins in preserving Palestinian land through their own means of community resilience through the concept of“Art of being”and its entailed“Arts of presence and persistence”.This is examined through the correlation between Bedouin lifestyle and the spatial distribution of structures within“Al-Kurshan”Bedouin clan in Area C in the West Bank.Based on a mixed qualitative and spatial methodologies,information was gathered through semi-structured interviews with Al-Kurshan Bedouins and employees of organizations supporting Bedouins,on-site observation,and analyses of maps and photos,in addition to drawings and illustrations.The spatial distribution of Bedouin built structures is analyzed in relation to landscape and climate,social aspects within the families,and available service and sectorial infrastructures.These analyses give insight on how Bedouins struggle against adopting other lifestyles.The study shows that the Bedouins are slowly forced to negotiate their semi-nomadic lifestyle,but resist giving up their right to exist against the threat of forced displacement.They maintain their“Art of being”which partly represents their own way of safeguarding Palestinian lands from confiscation.The study contributes to the wider discussion of spatial dynamics of Bedouins and their community resilience within the Palestinian geopolitical context.

Rapid building damage assessment system using mobile phone technology

One common scenario during disasters such as earthquakes is that the activity of damage field reconnaissance on site is not well-coordinated. For example in Italy the damage assessment of structures after an earthquake is managed from the Italian Emergency Authority, using printed forms （AeDES） which are filled by experts on site generating a lot of confusion in filling and transferring the forms to the Disaster Management Operative Center. Because of this, the paper explores the viability of using mobile communication technologies （smart phones） and the Web to develop response systems that would aid communities after a major disaster, providing channels for allowing residents and responders ofuploading and distributing information, related to structural damages coordinating the damage field reconnaissance. A mobile application that can be run by residents on smart phones has been developed, to give an initial damage evaluation of the area, which is going to be very useful when resources （e.g. the number of experts is limited）. The mobile application has been tested for the first time during 2012 Emilia earthquake to enhance the emergency response, showing the efficiency of the proposed method in statistical terms comparing the proposed procedure with the standard procedure.

Visually Modelling Collaborative Research into Innovative Community Disaster Resilience Practice,Strategy,and Governance

In 2013 a new collaborative center was established in Wellington, New Zealand to focus on integrating resilience research with the region’s community disaster resilience strategy. An earlier study with parties to this center had indicated that researcher and practitioner groups were divided by attention to their own immediate knowledge and skills, but agreed there was a need to maximize community resilience benefits amongst a regional population. An action research workshop of researchers and practitioners used a visual logic model to focus on the pragmatic benefits of improving community resilience. The visual logic model was used to design research activities that would improve the regional community resilience strategy, which was still in an early implementation phase.Ten of 14 workshop participants were interviewed following the workshop. Statistical content analysis of interview data highlighted certain strengths of the action research process: visual monitoring and evaluation planning was a catalyst for complicated conversations between two very different groups of professionals; and researchers became more focused on practical issues as a result. Other findings suggested that in future collaborative researchgovernance would benefit from wider cycles of strategic intelligence, enhanced research contributions, and the use of different information formats for different purposes.Different formats for different purposes should also be considered when developing and implementing large-scale disaster risk reduction policies and strategies.

What factors explain anger and mental health during the COVID-19 pandemic? The case of Israeli society

BACKGROUND What factors affected the levels of anger and emotional distress experienced during the coronavirus disease 2019(COVID-19)pandemic?We hypothesized that(1)sociodemographic factors and resiliency factors would partially explain psychological distress and anger,with stronger resiliency associated with lower levels of distress and anger;(2)women would report more trust in national leadership,as well as more psychological problems;(3)individuals of low socioeconomic status would report less resiliency,less trust in national leadership,and greater distress than individuals of higher socioeconomic status;and(4)hope would mediate the relationships between the other resiliency factors and both anger and distress.AIM To explore whether community resilience,hope,and trust in leaders were associated with lower levels of anger and emotional distress during the COVID-19 pandemic.METHODS For this observational study,data were gathered in Israel during the second wave of the COVID-19 pandemic,just before the Jewish New Year(mid-September 2020),as a second lockdown was announced.Data were gathered from 636 Israeli adults,who were recruited by the Midgam research panel.The participants filled out self-reported questionnaires including one on state anger,the Brief Symptom Inventory as a measure of mental-health problems(i.e.,somatization,depression,and anxiety),and questionnaires about trust in the state’s leaders,community resilience(CCRAM),and hope as measures of coping resources and resiliency.t-tests were used to explore differences between men and women and between those of lower and higher socioeconomic status.A hierarchical multiple regression analysis was then used to examine whether and how the sociodemographic and resiliency variables explained state anger and psychological distress.A Sobel test was used to evaluate the possible effects of hope on community resilience and trust in leadership in the context of both distress and anger.RESULTS Our results revealed differences between women and men in terms of anger and mental-health problems,but not in terms of coping resources.Women reported higher levels of both anger and mental-health problems.Participants of lower socioeconomic status reported more mental-health problems,more anger,and greater trust in the state’s leaders;whereas those of higher socioeconomic status reported greater hope.Furthermore,hierarchical multiple regression analyses revealed that the sociodemographic factors of gender,age,and socioeconomic status,as well as community resilience,trust in the state’s leaders,and hope explained mental health with a total of 19% of the variance and anger with a total of 33% of the variance.The Sobel tests showed that hope mediated the relationships between community resilience and mental health(z=3.46,P<0.001),community resilience and anger(z=2.90,P<0.01),and trust in leaders and anger(z=3.26,P<0.01),but did not affect the relationship between trust in leaders and mental health(z=1.53,P>0.05).CONCLUSION Personal and communal factors affect psychological distress.Personal resilience is an important factor that should be strengthened throughout life.Trust in leadership is important for citizens’mental health.

Assessing Capacity and Implementation Status of the Disaster Risk Management Strategy for Health and Community Disaster Resilience in Malawi

Floods are among the most frequently occurring natural hazards in Malawi,often with public health implications.This mixed methods study assessed the capacity for and implementation status of the disaster risk management(DRM)strategy for the health sector in Malawi,using flooding in the Nsanje District as a case.Data were collected using desk review and a workshop methodology involving key officials from government ministries,national and international development partners,and the academia.The results show that Malawi had recently strengthened its DRM institutional frameworks,with a pronounced policy shift from reactive to proactive management of disasters.Health sector personnel and structures were key contributors in the design and implementation of DRM activities at all levels.Development partners played a significant role in strengthening DRM coordination and implementation capacity.Lack of funding and the limited availability,and often fragmented nature,of vulnerability and risk assessment data were identified as key challenges.Limited human resource capacity and inadequate planning processes at district level impeded full implementation of DRM policies.These findings call for community-level interventions for improved coordination,planning,and human resource capacity to strengthen community disaster resilience and improve public health.The approach used in this study can serve as a model framework for other districts in Malawi,as well as in other low-and middle-income countries in the context of Sendai Framework implementation.

A Critical Review of Social Resilience Properties and Pathways in Disaster Management

Resilience as a concept is multi-faceted with complex dimensions.In a disaster context,there is lack of consistency in conceptualizing social resilience.This results in ambiguity of its definition,properties,and pathways for assessment.A number of key research gaps exist for critically reviewing social resilience conceptualization,projecting resilience properties in a disaster-development continuum,and delineating a resilience trajectory in a multiple disaster timeline.This review addressed these research gaps by critically reviewing social resilience definitions,properties,and pathways.The review found four variations in social resilience definitions,which recognize the importance of abilities of social systems and processes in disaster phases at different levels.A review of resilience properties and pathways in the disaster resilience literature suggested new resilience properties—“risk-sensitivity”and“regenerative”in the timeline of two consecutive disasters.This review highlights a causal pathway for social resilience to better understand the resilience status in a multi-shock scenario by depicting inherent and adaptive resilience for consecutive disaster scenarios and a historical case study for a resilience trajectory in a multiple disaster timeline.The review findings will assist disaster management policymakers and practitioners to formulate appropriate resilience enhancement strategies within a holistic framework in a multi-disaster timeline.

Adaptation Decision Support: An Application of System Dynamics Modeling in Coastal Communities

This research develops and applies a system dynamics(SD) model for the strategic evaluation of environmental adaptation options for coastal communities. The article defines and estimates asset-based measures for community vulnerability, resilience, and adaptive capacity with respect to the environmental, economic, social, and cultural pillars of the coastal community under threat. The SD model simulates the annual multidimensional dynamic impacts of severe coastal storms and storm surges on the community pillars under alternative adaptation strategies.The calculation of the quantitative measures provides valuable information for decision makers for evaluating the alternative strategies. The adaptation strategies are designed model results illustrated for the specific context of the coastal community of Charlottetown, Prince Edward Island, Canada. The dynamic trend of the measures and model sensitivity analyses for Charlottetown—facing increased frequency of severe storms, storm surges, and sea-level rise—provide impetus for enhanced community strategic planning for the changing coastal environment.This research is presented as part of the International Community-University Research Alliance C-Change project ‘‘Managing Adaptation to Environmental Change in Coastal Communities: Canada and the Caribbean'' sponsored by the Social Science and Humanities Research Council of Canada and the International Development Resource Centre.

Evacuating a First Nation Due to Wildfire Smoke:The Case of Dene Tha’ First Nation

Almost every year,First Nations are evacuated in Canada because of wildfire proximity and smoke.Dynamics of wildfires,and remote locations,unique sociocultural characteristics,and limited emergency management resources present challenges for evacuation organizers and residents.This study explores how Dene Tha’First Nation evacuated their Tachécommunity in July 2012 due to wildfire smoke and how the evacuation process affected evacuees.Interviews were completed with 31 evacuation organizers and residents to examine the factors that helped and hindered the evacuation process.Lack of information about the nearby wildfire,smoke,and evacuation of the nearby small community of Zama City,combined with a generic evacuation plan,delayed and posed challenges during the evacuation of this Dene Tha’community.Strong leadership and its role in community organizing,keeping families together,providing the social support they needed,and using familiar host communities,demonstrated and contributed to the community’s resilience during the evacuation.Measures to improve evacuations and emergency management in the community and other First Nations in Canada are identified and discussed.