When addressing the dynamic reliability analysis of structures, it becomes necessary to account for multiple limit state functions or their combinations. In scenarios where structures are subjected to random excitation, this can lead to intricate inter-dependencies among different limit states, and the computational workload can pose a substantial challenge in ensuring sufficient precision. Code-based design primarily ensures safety at the member level, while deterministic optimization fails to accommodate the inherent uncertainties associated with external excitation or the system as a whole. Therefore, in such cases, to address both the uncertainties in excitations and the presence of multiple limit states while mitigating computational challenges, equivalent extreme-value criteria are employed within the framework of the probability density evolution method to calculate the global reliability of the structure subjected to stochastic ground motions generated from the physically motivated stochastic ground motion model. Numerical optimization is subsequently conducted using genetic algorithms, aiming to minimize the cost of the superstructure while adhering to the design performance criteria related to the inter-story drift ratio and considering global reliability. Additionally, multi-objective optimization is carried out using NSGA-II, permitting the generation of multiple solutions, from which one can select the most suitable solution as needed. The numerical results illustrate the effectiveness of this technique in achieving an optimal balance between the cost of the structure and the consideration of global reliability, providing a comprehensive solution for dynamic reliability analysis and design optimization of structures under random excitations.
{"title":"Reliability-based design optimization for seismic structures considering randomness associated with ground motions","authors":"S. Shrestha, Yongbo Peng","doi":"10.20517/dpr.2023.35","DOIUrl":"https://doi.org/10.20517/dpr.2023.35","url":null,"abstract":"When addressing the dynamic reliability analysis of structures, it becomes necessary to account for multiple limit state functions or their combinations. In scenarios where structures are subjected to random excitation, this can lead to intricate inter-dependencies among different limit states, and the computational workload can pose a substantial challenge in ensuring sufficient precision. Code-based design primarily ensures safety at the member level, while deterministic optimization fails to accommodate the inherent uncertainties associated with external excitation or the system as a whole. Therefore, in such cases, to address both the uncertainties in excitations and the presence of multiple limit states while mitigating computational challenges, equivalent extreme-value criteria are employed within the framework of the probability density evolution method to calculate the global reliability of the structure subjected to stochastic ground motions generated from the physically motivated stochastic ground motion model. Numerical optimization is subsequently conducted using genetic algorithms, aiming to minimize the cost of the superstructure while adhering to the design performance criteria related to the inter-story drift ratio and considering global reliability. Additionally, multi-objective optimization is carried out using NSGA-II, permitting the generation of multiple solutions, from which one can select the most suitable solution as needed. The numerical results illustrate the effectiveness of this technique in achieving an optimal balance between the cost of the structure and the consideration of global reliability, providing a comprehensive solution for dynamic reliability analysis and design optimization of structures under random excitations.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianmin Cai, Shiyu Hu, Fei Sun, Lan Tang, Gang Fan, Huige Xing
Modern disaster emergency management emphasizes the collaborative participation of multiple parties. Exploring the relationship between risk perception and mitigation behaviors of the public is essential to develop the effectiveness of public disaster reduction and improve the performance of emergency management. Based on risk perception theory, a research framework on the relationship between risk perception and mitigation behaviors was constructed by selecting two phases of emergency management: pre-disaster preparation and mid-disaster emergency response. The results showed that self-efficacy positively influenced the pre-disaster mitigation behaviors and emergency evacuation behavior. Perceived severity only positively influenced the emergency evacuation behavior in mid-disaster. Additionally, pre-disaster evacuation drills positively influenced the emergency evacuation behavior and the behavior of asking for help from government departments in mid-disaster. The results indicate that pre-disaster mitigation behaviors can have a significant impact on mid-disaster behaviors only if pre-disaster mitigation behaviors provide clear guidance for the emergency phase of the disaster. Therefore, pre-disaster mitigation activities should be carried out strategically with the aim of improving the public’s emergency self-help capabilities in disasters, which provides theoretical and practical guidance for improving the effectiveness of public disaster mitigation and improving the government’s disaster emergency management system.
{"title":"Exploring the relationship between risk perception and public disaster mitigation behavior in geological hazard emergency management: a research study in Wenchuan county","authors":"Jianmin Cai, Shiyu Hu, Fei Sun, Lan Tang, Gang Fan, Huige Xing","doi":"10.20517/dpr.2023.26","DOIUrl":"https://doi.org/10.20517/dpr.2023.26","url":null,"abstract":"Modern disaster emergency management emphasizes the collaborative participation of multiple parties. Exploring the relationship between risk perception and mitigation behaviors of the public is essential to develop the effectiveness of public disaster reduction and improve the performance of emergency management. Based on risk perception theory, a research framework on the relationship between risk perception and mitigation behaviors was constructed by selecting two phases of emergency management: pre-disaster preparation and mid-disaster emergency response. The results showed that self-efficacy positively influenced the pre-disaster mitigation behaviors and emergency evacuation behavior. Perceived severity only positively influenced the emergency evacuation behavior in mid-disaster. Additionally, pre-disaster evacuation drills positively influenced the emergency evacuation behavior and the behavior of asking for help from government departments in mid-disaster. The results indicate that pre-disaster mitigation behaviors can have a significant impact on mid-disaster behaviors only if pre-disaster mitigation behaviors provide clear guidance for the emergency phase of the disaster. Therefore, pre-disaster mitigation activities should be carried out strategically with the aim of improving the public’s emergency self-help capabilities in disasters, which provides theoretical and practical guidance for improving the effectiveness of public disaster mitigation and improving the government’s disaster emergency management system.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"952 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136067922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A systematic review was conducted, ranging from the seismic resilience of single slope engineering structures as disaster-bearing bodies to their transformation into disaster-inducing bodies owing to seismic dynamic instability. The resilience of slopes is considered with regard to regional transportation networks, which are most severely threatened by earthquake-induced landslide disasters. For the engineering structure of a single slope as a disaster-bearing body, the stage before the slope engineering loses stability can be considered as the first stage of slope seismic resilience evaluation. This review summarizes the latest progress in seismic resilience evaluation and reinforcement design from the perspective of engineering seismic resilience. In response to the lack of definition for the resilience of existing regional road networks to earthquake-induced landslide impacts during the review, the second stage involves the transformation of the seismic dynamic instability of regional slopes into landslide disasters; resilience is defined as the global system reliability of the regional road network in this study. From the perspective of network reliability, an assessment framework for the resilience of the regional transportation network against seismic landslide disasters is systematically proposed in this study. In accordance with high-dimensional nonlinear network dynamics theory, this paper highlights the future research direction of introducing high-dimensional network dynamics theory into the disaster resilience of regional road networks affected by landslide disasters.
{"title":"From slope seismic resilience to regional road network resilience: an integrated framework for evaluating the seismic resilience of mountainous road networks","authors":"Min Xiong, Hongqiang Hu, Yu Huang","doi":"10.20517/dpr.2023.27","DOIUrl":"https://doi.org/10.20517/dpr.2023.27","url":null,"abstract":"A systematic review was conducted, ranging from the seismic resilience of single slope engineering structures as disaster-bearing bodies to their transformation into disaster-inducing bodies owing to seismic dynamic instability. The resilience of slopes is considered with regard to regional transportation networks, which are most severely threatened by earthquake-induced landslide disasters. For the engineering structure of a single slope as a disaster-bearing body, the stage before the slope engineering loses stability can be considered as the first stage of slope seismic resilience evaluation. This review summarizes the latest progress in seismic resilience evaluation and reinforcement design from the perspective of engineering seismic resilience. In response to the lack of definition for the resilience of existing regional road networks to earthquake-induced landslide impacts during the review, the second stage involves the transformation of the seismic dynamic instability of regional slopes into landslide disasters; resilience is defined as the global system reliability of the regional road network in this study. From the perspective of network reliability, an assessment framework for the resilience of the regional transportation network against seismic landslide disasters is systematically proposed in this study. In accordance with high-dimensional nonlinear network dynamics theory, this paper highlights the future research direction of introducing high-dimensional network dynamics theory into the disaster resilience of regional road networks affected by landslide disasters.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"29 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136382075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Supratik Bose, Andreas Stavridis, Panagiotis Ch. Anastasopoulos, Kallol Sett
This study uses a statistical surrogate model to develop fragility curves for an infilled reinforced concrete frame building, considering uncertainties in both material properties and ground motion parameters. The focal point of this study is a school building in Nepal damaged during the 2015 Gorkha earthquake. The school was instrumented, and its seismic response was simulated using a nonlinear numerical model. The model, developed following a recently proposed framework and extensively validated with the field data, is used in a parametric study conducted to identify the most influential material parameters (MPs). The model is then used in incremental dynamic analyses conducted to provide data for the calibration of a surrogate model. The three-staged least square statistical modeling approach is adopted to relate the influential MPs and ground motion intensity measures with important response quantities related to the peak and residual first-story drift ratios. The surrogate model is employed to generate fragility curves accounting for the two sources of uncertainty. The results indicate that accounting for uncertainties associated with the MPs can alter the fragility curves, causing a shift in the prediction of the median and dispersion of intensity measures.
{"title":"Fragility curves accounting for uncertainties in material parameters and ground motion characteristics using a data driven surrogate model","authors":"Supratik Bose, Andreas Stavridis, Panagiotis Ch. Anastasopoulos, Kallol Sett","doi":"10.20517/dpr.2023.20","DOIUrl":"https://doi.org/10.20517/dpr.2023.20","url":null,"abstract":"This study uses a statistical surrogate model to develop fragility curves for an infilled reinforced concrete frame building, considering uncertainties in both material properties and ground motion parameters. The focal point of this study is a school building in Nepal damaged during the 2015 Gorkha earthquake. The school was instrumented, and its seismic response was simulated using a nonlinear numerical model. The model, developed following a recently proposed framework and extensively validated with the field data, is used in a parametric study conducted to identify the most influential material parameters (MPs). The model is then used in incremental dynamic analyses conducted to provide data for the calibration of a surrogate model. The three-staged least square statistical modeling approach is adopted to relate the influential MPs and ground motion intensity measures with important response quantities related to the peak and residual first-story drift ratios. The surrogate model is employed to generate fragility curves accounting for the two sources of uncertainty. The results indicate that accounting for uncertainties associated with the MPs can alter the fragility curves, causing a shift in the prediction of the median and dispersion of intensity measures.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135537134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study proposes a repair procedure-based recovery pattern for better estimation of structural seismic resilience, which is scarcely considered in previous studies. In this manner, the multiple repair stages and detailed repair sequences of each damaged component are incorporated into the post-earthquake structural functionality, which could better present the recovery process. Additionally, to indicate the structural resilience from the point of public civilians, a novel concept of public resilience (PR) is proposed as well. In this concept, the functionality of structures remains zero until they are completely repaired and opened to the public. This is because, for civilians, the structural functionality is meaningless before opening for full utilization. Analytical analysis and numerical illustrative examples of typical highway bridges are utilized, demonstrating the efficiency of the proposed concepts. The results show that even for the simplified situation with only two damaged components, the seismic resilience is substantially affected by incorporating the stages and the sequences of repair procedures. While for more complex practical scenarios, the influence of repair procedures is expected to be more significant. Additionally, since the recovery pattern of PR is represented through stepwise functions, the value of PR is always lower than that of conventional methods. This fact indicates that for public civilians, seismic resilience of structures will not be as high as that in the view of engineers and researchers.
{"title":"Repair procedure-based recovery pattern for estimating seismic resilience and novel concept of public resilience","authors":"Xu Chen, Zhongguo Guan, Jianzhong Li, Yutao Pang","doi":"10.20517/dpr.2023.23","DOIUrl":"https://doi.org/10.20517/dpr.2023.23","url":null,"abstract":"This study proposes a repair procedure-based recovery pattern for better estimation of structural seismic resilience, which is scarcely considered in previous studies. In this manner, the multiple repair stages and detailed repair sequences of each damaged component are incorporated into the post-earthquake structural functionality, which could better present the recovery process. Additionally, to indicate the structural resilience from the point of public civilians, a novel concept of public resilience (PR) is proposed as well. In this concept, the functionality of structures remains zero until they are completely repaired and opened to the public. This is because, for civilians, the structural functionality is meaningless before opening for full utilization. Analytical analysis and numerical illustrative examples of typical highway bridges are utilized, demonstrating the efficiency of the proposed concepts. The results show that even for the simplified situation with only two damaged components, the seismic resilience is substantially affected by incorporating the stages and the sequences of repair procedures. While for more complex practical scenarios, the influence of repair procedures is expected to be more significant. Additionally, since the recovery pattern of PR is represented through stepwise functions, the value of PR is always lower than that of conventional methods. This fact indicates that for public civilians, seismic resilience of structures will not be as high as that in the view of engineers and researchers.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Structural reliability analysis with epistemic and aleatory uncertainties via AK-MCS with a new learning function","authors":"Yunjie Du, Jun Xu","doi":"10.20517/dpr.2023.18","DOIUrl":"https://doi.org/10.20517/dpr.2023.18","url":null,"abstract":"","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116200207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent natural disasters and climate change-induced extremes emphasize the urgent need to enhance the overall resilience of society by addressing the various hazards that buildings may face. Current design approaches recognize the need for integrated risk assessments, but studies primarily focus on existing buildings and single hazards, neglecting the impact of multiple hazards and resilience quantifications. However, it is crucial to consider multi-hazard scenarios and quantify economic, environmental, and resilience losses to pursue effective solutions from the early-stage design of both new buildings and retrofitting interventions. This paper presents a practical multi-criteria approach to support design decisions for enhanced safety, sustainability, and resilience of buildings against earthquakes and heatwaves. The proposed approach is applied to a commercial building with various seismic-resistant and energy-efficient facades. Non-linear seismic assessments are conducted to predict the potential impact concerning repair costs, carbon emissions, and the resilience loss at the design-level earthquake. Additionally, a whole life-cycle analysis and dynamic energy simulations are performed to calculate the financial and carbon losses resulting from power consumption and the ability of the building to maintain energy efficiency under extreme heat. Finally, the study employs a multi-matrix decision-making approach based on integrated economic, environmental, and resilience losses to guide the design selection. The results demonstrate that earthquake-resistant facades can significantly reduce financial losses by over 50%, with seismic resilience playing a crucial role in the final decision. This approach facilitates more effective investment decisions for building projects, enabling the quantification of the effectiveness of integrated strategies in reducing overall potential losses.
{"title":"Integrating resilience in the multi-hazard sustainable design of buildings","authors":"S. Bianchi","doi":"10.20517/dpr.2023.16","DOIUrl":"https://doi.org/10.20517/dpr.2023.16","url":null,"abstract":"Recent natural disasters and climate change-induced extremes emphasize the urgent need to enhance the overall resilience of society by addressing the various hazards that buildings may face. Current design approaches recognize the need for integrated risk assessments, but studies primarily focus on existing buildings and single hazards, neglecting the impact of multiple hazards and resilience quantifications. However, it is crucial to consider multi-hazard scenarios and quantify economic, environmental, and resilience losses to pursue effective solutions from the early-stage design of both new buildings and retrofitting interventions. This paper presents a practical multi-criteria approach to support design decisions for enhanced safety, sustainability, and resilience of buildings against earthquakes and heatwaves. The proposed approach is applied to a commercial building with various seismic-resistant and energy-efficient facades. Non-linear seismic assessments are conducted to predict the potential impact concerning repair costs, carbon emissions, and the resilience loss at the design-level earthquake. Additionally, a whole life-cycle analysis and dynamic energy simulations are performed to calculate the financial and carbon losses resulting from power consumption and the ability of the building to maintain energy efficiency under extreme heat. Finally, the study employs a multi-matrix decision-making approach based on integrated economic, environmental, and resilience losses to guide the design selection. The results demonstrate that earthquake-resistant facades can significantly reduce financial losses by over 50%, with seismic resilience playing a crucial role in the final decision. This approach facilitates more effective investment decisions for building projects, enabling the quantification of the effectiveness of integrated strategies in reducing overall potential losses.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121157379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cities are becoming the preferred choice of populations to reside in due to the opportunities they offer. While the concentration of populations is increasing in the cities, there is an immediate need to equip the cities for efficient functioning and providing safety and security. The unplanned urbanization of cities is adding vulnerability, especially to the spatially relevant hazards such as earthquakes and floods. Initiatives such as the Smart City Mission support cities with investments to improve the quality of life for people and enhance the efficiency of the civic systems by integrating infrastructure and technology. However, the top down approach to decision making, especially in spatial planning, leaves out the perspective of citizens. This study, hence, attempts to gather the perception of citizens on smart city initiatives and disaster risk reduction (DRR) through a questionnaire survey in the smart city of Pune, India. The objective of this study is to understand how smart city initiatives influence the key spatial planning components for DRR. The study reveals smart city initiatives proposed for the city impacts each spatial planning component. Smart city initiatives may further stress these components, increasing the exposure to disaster risks. Therefore, there is a need for holistic integration in spatial planning for DRR. This study can help in modulating the smart city initiatives for enhancing the safety of the citizens.
由于城市提供的机会，城市正成为人们居住的首选。在城市人口日益集中的同时，迫切需要使城市具备有效运作和提供安全保障的能力。城市无计划的城市化增加了脆弱性，特别是对地震和洪水等空间相关灾害的脆弱性。智慧城市使命(Smart City Mission)等倡议通过投资支持城市，通过整合基础设施和技术，改善人们的生活质量，提高公民系统的效率。然而，自上而下的决策方法，特别是在空间规划中，忽略了公民的观点。因此，本研究试图通过在印度浦那的智慧城市进行问卷调查，收集市民对智慧城市倡议和减少灾害风险(DRR)的看法。本研究的目的是了解智慧城市倡议如何影响DRR的关键空间规划组成部分。该研究揭示了为城市提出的智慧城市倡议对每个空间规划组成部分的影响。智慧城市计划可能会进一步强调这些组成部分，增加灾害风险。因此，需要在减灾空间规划中进行整体整合。这项研究可以帮助调整智慧城市的举措，以提高市民的安全。
{"title":"Smart cities - spatial planning and disaster risk reduction of Pune city, India","authors":"Sujata Kodag, Abhishek Kodag","doi":"10.20517/dpr.2023.11","DOIUrl":"https://doi.org/10.20517/dpr.2023.11","url":null,"abstract":"Cities are becoming the preferred choice of populations to reside in due to the opportunities they offer. While the concentration of populations is increasing in the cities, there is an immediate need to equip the cities for efficient functioning and providing safety and security. The unplanned urbanization of cities is adding vulnerability, especially to the spatially relevant hazards such as earthquakes and floods. Initiatives such as the Smart City Mission support cities with investments to improve the quality of life for people and enhance the efficiency of the civic systems by integrating infrastructure and technology. However, the top down approach to decision making, especially in spatial planning, leaves out the perspective of citizens. This study, hence, attempts to gather the perception of citizens on smart city initiatives and disaster risk reduction (DRR) through a questionnaire survey in the smart city of Pune, India. The objective of this study is to understand how smart city initiatives influence the key spatial planning components for DRR. The study reveals smart city initiatives proposed for the city impacts each spatial planning component. Smart city initiatives may further stress these components, increasing the exposure to disaster risks. Therefore, there is a need for holistic integration in spatial planning for DRR. This study can help in modulating the smart city initiatives for enhancing the safety of the citizens.","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131571115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Welcome to the new journal of Disaster Prevention and Resilience","authors":"Jie Li","doi":"10.20517/dpr.2021.01","DOIUrl":"https://doi.org/10.20517/dpr.2021.01","url":null,"abstract":"","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132598539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
No country will escape the ravages of climate change, but some, like small island developing states (SIDS), will be less able to withstand them. Their fundamental characteristics in essential domains pose existential threats for them. The paper borrows from Lukka and Vinnari’s work on domain and method theories as a lens to conceptually explore the question, “Is it possible for SIDS to become disaster resilient?” It turns out that SIDS might be too small, too isolated, too economically and institutionally weak, and too exposed to become disaster resilient. Their developmental state, economic, institutional, and community attributes are causes of significant vulnerabilities and undermine disaster resilience efforts. The challenges from climate change alone highlight the herculean task ahead for these small and tiny developing islands without transformative actions. The advantage for SIDS is their solid social system. Their populations are resourceful, and they can pivot if they need to. However, the lingering question remains whether that will be enough to mitigate the weaknesses in other critical resilience domains?
{"title":"Compounding challenges for disaster resilience in small island developing states","authors":"Denise D. P. Thompson","doi":"10.20517/dpr.2021.04","DOIUrl":"https://doi.org/10.20517/dpr.2021.04","url":null,"abstract":"No country will escape the ravages of climate change, but some, like small island developing states (SIDS), will be less able to withstand them. Their fundamental characteristics in essential domains pose existential threats for them. The paper borrows from Lukka and Vinnari’s work on domain and method theories as a lens to conceptually explore the question, “Is it possible for SIDS to become disaster resilient?” It turns out that SIDS might be too small, too isolated, too economically and institutionally weak, and too exposed to become disaster resilient. Their developmental state, economic, institutional, and community attributes are causes of significant vulnerabilities and undermine disaster resilience efforts. The challenges from climate change alone highlight the herculean task ahead for these small and tiny developing islands without transformative actions. The advantage for SIDS is their solid social system. Their populations are resourceful, and they can pivot if they need to. However, the lingering question remains whether that will be enough to mitigate the weaknesses in other critical resilience domains?","PeriodicalId":265488,"journal":{"name":"Disaster Prevention and Resilience","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123948317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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