Risk AnalysisPub Date : 2025-08-02DOI: 10.1111/risa.70082
Ling Tan, Xianhua Wu, Ji Guo
{"title":"Resilience and loss mitigation: An empirical study from China.","authors":"Ling Tan, Xianhua Wu, Ji Guo","doi":"10.1111/risa.70082","DOIUrl":"https://doi.org/10.1111/risa.70082","url":null,"abstract":"<p><p>The importance of resilience in mitigating the impacts of disasters has gained increasing recognition, yet quantitative analyses assessing its effectiveness in reducing losses remain limited. This paper introduces a novel approach to integrate resilience into a computable general equilibrium (CGE) model to quantitatively assess its role in loss mitigation. First, a conventional CGE model is employed to evaluate economic losses caused by disasters without considering resilience, establishing a baseline analysis of disaster impacts. Next, the economic impacts of disasters are reassessed after incorporating resilience into the production module by adjusting elasticity parameters. By comparing the baseline scenario with the resilience-enhanced model, the extent and effectiveness of resilience in reducing disaster losses could be evaluated. To validate the approach, the extreme rainfall event in Beijing on July 21, 2012, is used as a case study. The results show that incorporating resilience leads to a significant reduction in economic losses. Specifically, the losses of total output are reduced from $29.10 billion to $20.98 billion, corresponding to a reduction in the loss rate from 3.88% to 2.80%. Furthermore, recovery rates vary across industrial sectors, with wholesale and retail trade, and services recovering most quickly, while sectors such as the production and supply of electricity, gas, water, and manufacturing exhibit slower recovery rates. This research provides valuable insights into disaster resilience assessment. The findings have practical implications for policymakers and agencies involved to carry out the development of resilience strategies and post-disaster management.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144769004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-22DOI: 10.1111/risa.70024
Elmar Kutsch, Haytham Siala, Chantal Cantarelli, Ibrat Djabbarov
{"title":"Categorizing errors in high-reliability organizations: Adaptive range and adaptive capacity in incident response.","authors":"Elmar Kutsch, Haytham Siala, Chantal Cantarelli, Ibrat Djabbarov","doi":"10.1111/risa.70024","DOIUrl":"10.1111/risa.70024","url":null,"abstract":"<p><p>This study examines how actors in a high-reliability organization categorize errors as near-misses or accidents through the lens of adaptive capacity and adaptive range. We studied a large defense entity with operations critical to national security to understand how organization members categorized errors during incidents. Using the repertory grid method to interview informants, we identify key dualities that actors navigate between anticipatory and retrospective responses to errors. These dualities collectively reflect the organization's adaptive capacity and adaptive range when balancing anticipatory and retrospective responses. Our analysis of error categorization through this lens provides new insights into how high-reliability organizations manage incidents to maintain reliability and offers practical implications for enhancing organizational resilience in high-risk settings.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2356-2374"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411123/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143693020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-02-25DOI: 10.1111/risa.70003
Emanuele Borgonovo, Manel Baucells, Antonio De Rosa, Elmar Plischke, John Barr, Herschel Rabitz
{"title":"Direction of impact for explainable risk assessment modeling.","authors":"Emanuele Borgonovo, Manel Baucells, Antonio De Rosa, Elmar Plischke, John Barr, Herschel Rabitz","doi":"10.1111/risa.70003","DOIUrl":"10.1111/risa.70003","url":null,"abstract":"<p><p>Several graphical indicators have been recently introduced to help analysts visualize the marginal effects of inputs in complex models. The insights derived from such tools may help decision-makers and risk analysts in designing interventions. However, we know little about the adequacy and consistency of different indicators. This work investigates popular marginal effect indicators to understand whether they yield indications consistent with the properties of the quantitative model under inspection. Specifically, we examine the notions of monotonicity, Lipschitz, and concavity consistency. Surprisingly, only PD functions satisfy all these notions of consistency. However, when selecting the indicators, in addition to consistency, analysts need to consider the risk of model extrapolation. For situations where such risk is under control, we utilize individual conditional expectations together with PD plots. Two applications, on a NASA space risk assessment model and a susceptible exposed infected recovered (SEIR) model for the COVID-19 pandemic illustrate the insights obtained from these indicators.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2157-2182"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411132/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143503747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-19DOI: 10.1111/risa.70006
Bahtiar Mohamad, Adamu Abbas Adamu, Sri Rahayu, Pijar Suciati, Nailul Mona, Syed Hassan Raza
{"title":"An exploratory investigation on internal crisis communication across private and public sector employees in Indonesia.","authors":"Bahtiar Mohamad, Adamu Abbas Adamu, Sri Rahayu, Pijar Suciati, Nailul Mona, Syed Hassan Raza","doi":"10.1111/risa.70006","DOIUrl":"10.1111/risa.70006","url":null,"abstract":"<p><p>Over the past 5 years, Indonesia has faced numerous sudden crises due to its geographical location along the Pacific Ring of Fire, making it prone to natural disasters, such as earthquakes, tsunamis, and volcanic eruptions. These events highlight the frequent occurrence of sudden crises in Indonesia and underscore the need for robust disaster preparedness and response systems. Effective crisis management requires a strategy that immediately informs organizations and the health sector of necessary actions. This study aims to investigate the effects of safety culture (SC), supportive environment (SE), management commitment (MC), and social media usage on internal crisis communication (ICC) during crises in Indonesia. It also compares the multiple regression models between employees in the private and public sectors. A cross-sectional questionnaire survey was conducted with 567 full-time employees from various organizations who have been directly affected by crises. The findings reveal that, for public sector employees, all antecedents negatively impact ICC except for SC and MC. In contrast, for private sector employees, all antecedents positively impact ICC except for MC and the perceived usefulness of social media. This study highlights the importance of MC, an SE, SC, and the perceived usefulness of social media in determining employees' ICC during crises. The significance of an SE and SC on employees' perceptions of ICC is similarly emphasized.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2341-2355"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-08DOI: 10.1111/risa.70013
Zhao Zeng, Nan Wang, Zengkai Zhang, Huimin Wang, Huibin Du
{"title":"Flood footprint assessment: Assessing external assistance' impact on post-disaster recovery.","authors":"Zhao Zeng, Nan Wang, Zengkai Zhang, Huimin Wang, Huibin Du","doi":"10.1111/risa.70013","DOIUrl":"10.1111/risa.70013","url":null,"abstract":"<p><p>Mitigating the risks posed by natural disasters has become a pressing public concern due to their increasingly frequent and intense occurrences, which threaten human lives and socio-economic development. External assistance (EA), as a common form of support for post-disaster reconstruction, has been recognized as significant in several studies. However, the lack of an assessment method has made it unclear to what extent economic recovery can be affected by EA. To address this problem, we adopt the flood footprint as an indicator and improve the flood footprint model by combining it with the consideration of EA. The purpose is to quantify the economic impact of EA on post-disaster recovery. In a successful application case of the 2013 Super Typhoon Haiyan disaster in Hainan province, China, we have validated the feasibility and flexibility of our approach. We found that EA, which accounted for 2.4% of direct economic losses, resulted in a 7.31% reduction of indirect economic losses in the Hainan case. These findings indicate that EA positively impacts short-term economic risk reduction, despite its complex influence on the overall economy. Furthermore, through scenario analysis on alternative EA schemes, we discuss that the ration scheme is a significant factor in determining EA's impact. Policymakers can minimize the indirect flood footprint and facilitate post-disaster economic recovery by implementing alternative EA schemes.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2243-2254"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-19DOI: 10.1111/risa.70019
S E Galaitsi, Benjamin D Trump, Eric H Cline, Maksim Kitsak, Igor Linkov
{"title":"Navigating the precipice: Lessons on collapse from the Late Bronze Age.","authors":"S E Galaitsi, Benjamin D Trump, Eric H Cline, Maksim Kitsak, Igor Linkov","doi":"10.1111/risa.70019","DOIUrl":"10.1111/risa.70019","url":null,"abstract":"<p><p>Around 1200 BCE, the societies of the Late Bronze Age (LBA) in the Eastern Mediterranean experienced a collective collapse, evident in the archeological remains of destroyed and abandoned cities. Following our prior explorations in this topic, we hypothesize that the network structure between the LBA societies amplified compounding threats, producing a cascade of failures that culminated in a precipitous broad systemic collapse. The network, so often seen as a conduit for prosperity, propagated the problems of individual nodes. Herein we discuss the findings of Linkov et al.'s (2024) network analysis of the LBA collapse and its implications regarding vulnerabilities in our current global context as our systems surpass carrying capacity in our pursuit of societal complexity.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2079-2082"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-11DOI: 10.1111/risa.70016
Philip A Ebert, David L Miller, David A Comerford, Mark Diggins
{"title":"End user and forecaster interpretations of the European Avalanche Danger Scale: A study of avalanche probability judgments in Scotland.","authors":"Philip A Ebert, David L Miller, David A Comerford, Mark Diggins","doi":"10.1111/risa.70016","DOIUrl":"10.1111/risa.70016","url":null,"abstract":"<p><p>We investigate Scottish end users' and professional forecasters' risk perception in relation to the 5-point European Avalanche Danger Scale by eliciting numerical estimates of the probability of triggering an avalanche. Our main findings are that neither end users nor professional forecasters interpret the avalanche danger scale as intended, that is, in an exponential fashion. Second, we find that numerical interpretations by end users and professional forecasters have high variance, but are similar, in that both groups tend to overestimate the probability of triggering an avalanche and underestimate the relative risk increase. Finally, we find significant differences in the perceived probability of triggering an avalanche relative to a low or moderate avalanche danger level, and in the numerical interpretation of verbal probability terms depending on whether respondents provide their estimates using a frequency or a percentage chance format. We summarize our findings by identifying important lessons to improve avalanche risk understanding and its communication.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2285-2299"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-02-17DOI: 10.1111/risa.70000
Wajid Ali, Zhen Hu, Zhe-Ren Tang, Si-Yi Liu, Zaheer Ahmad Nasir, Frederic Coulon, Peng Liu, Cheng Yan
{"title":"Quantitative microbial risk assessment of bioaerosol emissions from squat and bidet toilets during flushing.","authors":"Wajid Ali, Zhen Hu, Zhe-Ren Tang, Si-Yi Liu, Zaheer Ahmad Nasir, Frederic Coulon, Peng Liu, Cheng Yan","doi":"10.1111/risa.70000","DOIUrl":"10.1111/risa.70000","url":null,"abstract":"<p><p>Bioaerosol emissions during toilet flushing are an often-overlooked source of potential health risks in shared public facilities. This study systematically investigated the emission characteristics of Staphylococcus aureus and Escherichia coli bioaerosols in washrooms with squat and bidet toilets under varying flushing conditions and ventilation scenarios. Using Monte Carlo simulation-based quantitative microbial risk assessment and sensitivity analysis, the study estimated the disease burden and identified key factors influencing risk. The results showed that squat toilets generated 1.7-2.6 times higher concentrations of S. aureus bioaerosols and 1.2-1.4 times higher concentrations of E. coli bioaerosols compared to bidet toilets. After the first flush, bioaerosol concentrations were 1.3-1.8 times (S. aureus) and 1.2-1.4 times (E. coli) lower than those observed after the second flush. The second flush released a higher proportion of fine bioaerosol particles (<4.7 µm), increasing inhalation risks. The disease health risk burden was consistently one order of magnitude lower after the first flush than the second one. Ventilation with a turned-on exhaust fan further reduced the risk by one order of magnitude. Sensitivity analysis identified exposure concentration as the most influential parameter, contributing up to 50% of the overall risk. This study highlights the importance of optimizing toilet design and ventilation systems to mitigate bioaerosol emissions and associated health risks. It provides actionable insights for improving public washroom hygiene and minimizing bioaerosol exposure.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2083-2096"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143441745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-15DOI: 10.1111/risa.17713
Chad M Baum, Elina Brutschin, Livia Fritz, Benjamin K Sovacool
{"title":"A new hope or phantom menace? Exploring climate emotions and public support for climate interventions across 30 countries.","authors":"Chad M Baum, Elina Brutschin, Livia Fritz, Benjamin K Sovacool","doi":"10.1111/risa.17713","DOIUrl":"10.1111/risa.17713","url":null,"abstract":"<p><p>Emotions are central to human experiences of climate change. Empirical research demonstrates their importance for climate perceptions and climate-related behaviors. The intensifying severity of climate change prompts consideration of emerging, potentially controversial technologies. Alongside mitigation and adaptation, climate intervention proposes to remove carbon dioxide from ambient air (carbon dioxide removal, CDR) or reflect sunlight away from the Earth (solar radiation modification, SRM). Although such options arouse emotional reactions of diverse kinds, the intersection between climate emotions and climate intervention has received limited attention. This article employed a unique, global dataset with 30,284 participants across 30 countries (in 19 languages) to provide insights on 3 questions. We first leveraged the global dataset to map the incidence of fear, hope, anger, sadness, and worry across countries-the first time the climate emotions of adults are investigated on this scale. We also identified significant differences in emotions by level of development, with those in advanced economies reporting weaker levels of climate emotions. Second, using multiple linear regression analyses, we explored the relationship between climate emotions and support for climate-intervention technologies. We determined that the emotions of hope and worry seem to be the most consistently (positively) correlated. Third, we explored if reading about technology categories differentially affected climate emotions. Individuals randomly assigned to read about ecosystems-based CDR were significantly more hopeful about climate change (those about SRM the least). Together, our results provide the first global-level evidence of the relationship between discrete climate emotions and perceptions and support of climate interventions.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2323-2340"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk AnalysisPub Date : 2025-08-01Epub Date: 2025-03-03DOI: 10.1111/risa.70005
Baozhuang Niu, Zebin Zheng, Lingfeng Wang
{"title":"Information value versus flexibility cost: Comparison of dual sourcing and artificial intelligence sourcing for resilient supply.","authors":"Baozhuang Niu, Zebin Zheng, Lingfeng Wang","doi":"10.1111/risa.70005","DOIUrl":"10.1111/risa.70005","url":null,"abstract":"<p><p>In global trade practices, varying inspection and quarantine standards frequently cause import disruptions. To manage such customs risk, artificial intelligence (AI)-based intelligent sourcing strategy and traditional dual-sourcing strategy are two widely used strategies to guarantee supply resilience. In this study, we formulate the main trade-offs to adopt AI sourcing, including the information analytics value, the increased flexibility cost, and the altered competition/cooperation structure among the stakeholders. We find that the importer would prefer the AI-sourcing strategy when the customs disruption probability is high, and the local production cost is moderate. Moreover, the cost-efficiency of the AI-sourcing strategy is usually lower than the expectation due to the supplier's pricing behavior. When it comes to the resilience indicator evaluation, we find that, surprisingly, the importer is more likely to be cost-oriented rather than resilience-oriented. Therefore, pursuing resilience cannot be always attractive but low cost can. Even though the advent of AI sourcing will not change this insight.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2197-2231"},"PeriodicalIF":3.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}