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Multi-scale characterization of industrial infrastructure vulnerability to multiple hazards in their territories 工业基础设施对多种灾害脆弱性的多尺度表征
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-02-14 DOI: 10.1016/j.jnlssr.2024.11.004
David Javier Castro Rodriguez, Antonello A. Barresi, Micaela Demichela
Directive 2022/2557 from the European Commission aims to enhance the resilience of critical entities in Europe by integrating with existing European legislation, but it lacks explicit guidance on addressing vulnerabilities. Specifically, major hazard industries (MHIs) are critical infrastructures that face unique risks arising from the interactions of natural and technological hazards (NaTech events); nevertheless, existing policies frequently overlook the potential vulnerabilities of process plants to these complex phenomena. The goal of this research was to systematically characterize the vulnerability of industrial critical infrastructures (ICIs) to various hazards in their territories. A multi-scale procedure was implemented in the Italian context as a case study, where spatial analyses were developed using open data. Starting from the Italian national inventory, the MHIs were clustered in industrial macro-sectors and represented nationally by regions, relating their distribution to meteorological or geophysical data of interest. At the regional scale, the MHIs of the Piedmont Region were represented as punctual elements, associating the population within potential damage zones by province. At the municipal scale, a previously validated multi-hazard tool for vulnerability assessment was then tailored to a reduced scale for specific applications in an industrial context. This adaptation, which considers the two-way interaction between an energetic critical infrastructure and various hazards in its surroundings, delivers a spatial vulnerability profile that may complement the probabilistic analysis of industrial incidental scenarios. In summary, this framework may raise the stakeholders awareness at various levels and with different interests within the industrial accident control decision-making chain, from operators to competent authorities.
欧盟委员会的2022/2557号指令旨在通过与现有的欧洲立法相结合来增强欧洲关键实体的弹性,但它缺乏关于解决脆弱性的明确指导。具体来说,主要危害行业(MHIs)是面临自然灾害和技术灾害(NaTech事件)相互作用所产生的独特风险的关键基础设施;然而,现有的政策经常忽视了加工工厂对这些复杂现象的潜在脆弱性。本研究的目的是系统地描述工业关键基础设施(ici)在其领土内对各种危害的脆弱性。在意大利的背景下实施了一个多尺度程序作为案例研究,其中使用开放数据开发了空间分析。从意大利国家清单开始,MHIs集中在工业宏观部门,并按地区代表全国,将其分布与感兴趣的气象或地球物理数据联系起来。在区域尺度上,山前地区的mhi被表示为准时元素,以省为单位将潜在破坏区内的人口联系起来。在市政规模上,先前经过验证的多灾害脆弱性评估工具随后被量身定制,以缩小规模,适用于工业环境中的特定应用。这种适应性考虑了充满活力的关键基础设施与周围各种危险之间的双向相互作用,提供了一个空间脆弱性概况,可以补充工业事故情景的概率分析。综上所述,该框架可以提高从运营商到主管部门等工业事故控制决策链中各个层面和不同利益相关者的意识。
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引用次数: 0
Modeling the resilience of startups in the COVID-19 pandemic using the system dynamics approach 使用系统动力学方法对COVID-19大流行中初创公司的弹性进行建模
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-02-01 DOI: 10.1016/j.jnlssr.2024.10.004
Mahdi Homayounfar , Faezeh Kamali-Chirani , Adel Pourghader Chobar , Amir Daneshvar
The COVID-19 pandemic has profoundly impacted startups, disrupting operations, consumer behavior, and market dynamics. Addressing these challenges necessitates an in-depth analysis of startups' vulnerabilities and the development of effective strategies to bolster their resilience and sustainability. This study introduces a combined thematic analysis and system dynamics approach to enhance startups' resilience during the pandemic. A qualitative thematic analysis was employed to identify the key factors influencing resilience. Semi-structured interviews with 12 experts provided data categorized into 21 themes across four dimensions: team, founder, human resources, and startup characteristics. Building on the qualitative phase, a system dynamics model was developed, comprising 32 auxiliary variables, five flow variables, four constants, and four stock variables. Four scenarios were devised to evaluate resilience within this model, reflecting varying degrees of financial strength, government support, and crisis management improvements. The results highlight the effectiveness of Scenario 4, which achieved the highest resilience improvement, driven by a 5 % increase in financial strength, a 5 % increase in government support, and a 10 % enhancement in crisis management. These findings offer critical insights for stakeholders and researchers seeking to strengthen startup resilience during crises.
2019冠状病毒病大流行深刻影响了初创企业,扰乱了运营、消费者行为和市场动态。应对这些挑战需要对初创企业的脆弱性进行深入分析,并制定有效的战略来增强其弹性和可持续性。本研究引入了主题分析和系统动力学相结合的方法,以增强创业公司在疫情期间的应变能力。采用定性专题分析来确定影响弹性的关键因素。与12位专家进行的半结构化访谈提供了21个主题的数据,涉及四个维度:团队、创始人、人力资源和初创企业特征。在定性阶段的基础上,建立了包含32个辅助变量、5个流量变量、4个常数变量和4个存量变量的系统动力学模型。设计了四种情景来评估该模型中的复原力,反映了不同程度的财政实力、政府支持和危机管理改进。结果突出了情景4的有效性,在财政实力增加5%、政府支持增加5%和危机管理加强10%的推动下,情景4实现了最大的复原力改善。这些发现为寻求在危机期间加强初创企业弹性的利益相关者和研究人员提供了重要见解。
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引用次数: 0
Emergency scenario modeling for the analysis of dynamic risks in business parks 商业园区动态风险分析的应急情景建模
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-01-27 DOI: 10.1016/j.jnlssr.2024.11.002
Rodríguez Pillaga Renán Teodoro , Bañuls Víctor A.
This study is novel, as it aims to generate an emergency scenario model for the analysis of dynamic risks in business parks to help decision-makers provide an optimal response in any emergency. To this end, the CIA-ISM methodology, which is the combination of Cross-Impact Analysis (CIA) and Interpretative Structural Model (ISM), allows the representation of all possible connections among risks, as well as representing real events under conditions of uncertainty. The proposed model integrates the use of an information system for the generation of multiple emergency scenarios that include the capture of complex interactions among agents, resources and variable environmental conditions. The results highlight the capacity of the proposed emergency scenario model based on CIA-ISM for the analysis of dynamic risks in business parks, identification of hidden vulnerabilities and evaluation of mitigation strategies in real-time. This study not only expands the theoretical knowledge of emergency management but also provides a useful tool to improve preparedness and response capacity in the face of adverse events in dynamic and complex environments.
本研究的新颖之处在于,它旨在建立一个应急情景模型,用于分析商业园区的动态风险,以帮助决策者在任何紧急情况下提供最佳的应对措施。为此,CIA-ISM方法,即交叉影响分析(CIA)和解释结构模型(ISM)的结合,可以表示风险之间所有可能的联系,也可以表示不确定条件下的真实事件。所提出的模型集成了信息系统的使用,用于生成多种紧急情况,包括捕获代理、资源和可变环境条件之间的复杂相互作用。结果表明,基于CIA-ISM的应急情景模型能够实时分析商业园区的动态风险,识别潜在漏洞并评估缓解策略。本研究不仅拓展了应急管理的理论知识,而且为提高面对动态复杂环境中不良事件的准备和响应能力提供了有用的工具。
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引用次数: 0
Safe evacuation framework with intelligent dynamic exit sign system and demonstration in tunnel fire 具有智能动态出口标识系统的安全疏散框架及隧道火灾演示
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-01-12 DOI: 10.1016/j.jnlssr.2024.12.001
Ho Yin Wong , Meng Wang , Xiaoning Zhang , Yuxin Zhang , Ming Chi Wong , Xinyan Huang
Emergency exit sign systems guide occupants to safety, but they may fail in fires when smoke blocks routes. This study introduces an Intelligent Dynamic Exit Sign (IDES) system, integrating a fire-detection sensor network with dynamic sign patterns, which could enhance evacuation safety by always guiding occupants away from hazards. The system's operation framework and design rules ensure effective implementation. To address ethical concerns in complex scenarios, IDES includes a reversion mechanism that switches dynamic signs back to conventional static signs when necessary. The system's effectiveness is demonstrated through prototyping in a lab-scale tunnel model, assessing both the dynamic patterns and hardware reliability. Results show the potential of IDES to automatically optimize evacuation procedures and occupant safety during emergencies. Furthermore, the study delves into challenges associated with real-world implementation and offers insights for future applications of this innovative safety solution in more complex built environments.
紧急出口标志系统引导居住者到安全的地方,但当烟雾阻挡路线时,它们可能在火灾中失效。本文介绍了一种智能动态出口标志(IDES)系统,该系统集成了火灾探测传感器网络和动态标志模式,可以通过始终引导居住者远离危险来提高疏散安全性。系统的运行框架和设计规则保证了系统的有效实施。为了解决复杂情况下的伦理问题,ide包括一个转换机制,在必要时将动态标志切换回传统的静态标志。通过在实验室规模的隧道模型中进行原型设计,评估了系统的动态模式和硬件可靠性,证明了系统的有效性。结果表明,在紧急情况下,IDES具有自动优化疏散程序和乘员安全的潜力。此外,该研究深入研究了与现实世界实施相关的挑战,并为这种创新的安全解决方案在更复杂的建筑环境中的未来应用提供了见解。
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引用次数: 0
Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters 结合多种灾害的需求紧迫性和道路损坏情况优化车辆路线问题
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-12-31 DOI: 10.1016/j.jnlssr.2024.11.001
Ran Li , Xiaofei Ye , Shuyi Pei , Xingchen Yan , Tao Wang , Jun Chen , Pengjun Zheng
In the context of the COVID-19 epidemic, a “double-hazard scenario” consisting of a natural disaster and a public health event simultaneously occurring is more likely to arise. However, compared with single-hazard, multiple disasters confront the challenges of complexity, diversity, and demand urgency. To improve the efficiency of emergency material distribution under multiple disasters, this study first divided multiple disasters into three categories: independent scenario, sequential scenario, and coupling scenario. A set of evaluation index systems for multiple disasters was established to quantify the urgency of demand. The routing optimization model of emergency vehicles for multiple disasters was proposed by combining demand urgency and road damage, and the non-dominated sorting genetic algorithm II (NSGA-II) was used to simulate and validate the model. A coupling scenario considering two typical disasters of hurricanes and epidemics was selected as a validation example, and sensitivity analysis was also performed for different algorithms, scenarios, and constraints. The results demonstrated that the proposed model could effectively address the vehicle routing problem of emergency materials in the context of multiple disasters. Compared to the NSGA, the NSGA-II was used to reduce the total delivery time, cost, and penalty cost by 15.98%, 13.60%, and 16.14%, respectively. Compared with the independent scenario, the coupling scenario increased the total delivery time and cost by 186.28% and 132.48% during the epidemic. However, it reduced the total delivery time by 4.00% and increased the delivery cost by 23.55% compared with the hurricane. Compared with the model without consideration, the model considering demand urgency and road damage reduced the total delivery time and cost by 17.88% and 8.73%, respectively. The model constructed in this study addressed the vehicle routing problem considering the demand urgency and road damage in the optimization process, particularly in the context of multiple disasters.
在新冠肺炎疫情背景下,更有可能出现自然灾害和公共卫生事件同时发生的“双重危害情景”。然而,与单一灾害相比,多重灾害面临着复杂性、多样性和需求紧迫性的挑战。为了提高多重灾害下应急物资分配的效率,本研究首先将多重灾害分为独立情景、顺序情景和耦合情景三大类。建立了一套针对多种灾害的评价指标体系,量化了需求的紧迫性。结合需求紧迫性和道路毁损情况,提出了多灾害应急车辆路径优化模型,并采用非支配排序遗传算法II (NSGA-II)对模型进行了仿真验证。选取考虑飓风和流行病两种典型灾害的耦合场景作为验证例,并对不同算法、场景和约束条件进行敏感性分析。结果表明,该模型能够有效地解决多重灾害背景下应急物资的车辆路径问题。与NSGA相比,NSGA- ii的总交付时间、总成本和总处罚成本分别降低了15.98%、13.60%和16.14%。与独立情景相比,耦合情景在疫情期间总配送时间和总成本分别增加了186.28%和132.48%。但与飓风相比,总配送时间缩短了4.00%,配送成本增加了23.55%。与未考虑需求紧迫性和道路损坏的模型相比,考虑需求紧迫性和道路损坏的模型总交付时间和总成本分别缩短了17.88%和8.73%。本文构建的模型解决了优化过程中考虑需求紧迫性和道路损坏的车辆路径问题,特别是在多重灾害的情况下。
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引用次数: 0
Cost-aware strategies for enhancing energy resilience in microgrids via stationary and mobile resources 通过固定和移动资源增强微电网能源弹性的成本意识战略
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-12-18 DOI: 10.1016/j.jnlssr.2024.10.002
S.M. Safayet Ullah , Kouhyar Sheida , Farzad Ferdowsi , Terrence Chambers
The primary goal of this research study is to enhance energy resilience with a focus on cost efficiency. To achieve this objective, two key objectives have been identified: (1) reducing unserved loads, and (2) implementing cost-effective resource allocation strategies. A high-fidelity detailed model of a solar plus storage microgrid is developed to simulate a variety of what-if scenarios. This model is based on the conceptual design of a campus microgrid facility, which is slated for commissioning at UL Lafayette in close collaboration with a local power utility. The study examines the microgrid’s performance under different configurations, including both stationary battery and mobile battery storage options. To ensure the realism of the scenarios, real solar data from specific days following the occurrence of three major hurricanes in Louisiana is utilized. The analysis includes an assessment of unserved loads under various scenarios, as well as an investigation into the resilience impact of investment decisions and the planning and operation of mobile storage systems. The results indicate the proposed planning and operation will improve resilience while staying within the profitable range. The resilience is quantified and compared with other scenarios providing an insightful planning framework for decision-makers.
本研究的主要目标是提高能源弹性,重点关注成本效率。为了实现这一目标,确定了两个关键目标:(1)减少未服务负载,(2)实施具有成本效益的资源分配策略。开发了太阳能+储能微电网的高保真详细模型,以模拟各种假设情景。该模型基于校园微电网设施的概念设计,该设施计划在UL Lafayette与当地电力公司密切合作进行调试。该研究考察了微电网在不同配置下的性能,包括固定电池和移动电池存储选项。为了确保情景的真实性,使用了路易斯安那州发生三次主要飓风后特定日子的真实太阳数据。该分析包括对各种情况下未服务负载的评估,以及对投资决策和移动存储系统规划和操作的弹性影响的调查。结果表明,所提出的规划和操作将提高弹性,同时保持在盈利范围内。对弹性进行量化,并与其他情景进行比较,为决策者提供有见地的规划框架。
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引用次数: 0
SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry SH17:制造业人身安全和个人防护装备检测数据集
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-11-28 DOI: 10.1016/j.jnlssr.2024.09.002
Hafiz Mughees Ahmad, Afshin Rahimi
Workplace accidents continue to pose significant human safety risks, particularly in the construction and manufacturing industries. The necessity for effective Personal Protective Equipment (PPE) compliance has become increasingly paramount. We focus on developing non-invasive techniques based on the Object Detection (OD) and Convolutional Neural Network (CNN). The aim is to detect and verify the proper use of various types of PPE such as helmets, safety glasses, masks, and protective clothing. This study proposes the SH17 Dataset, consisting of 8,099 annotated images containing 75,994 instances of 17 classes collected from diverse industrial environments, to train and validate the OD models. We have trained state-of-the-art OD models for benchmarking, and initial results demonstrate promising accuracy levels with You Only Look Once (YOLO)v9-e model variant exceeding 70.9% in PPE detection. The validation of the model across cross-domain datasets indicates that integrating these technologies can substantially enhance safety management systems. This approach offers a scalable and efficient solution for industries seeking to comply with human safety regulations while safeguarding their workforce. The dataset is available at https://github.com/ahmadmughees/sh17dataset.
工作场所意外持续构成重大的人身安全风险,特别是在建造业和制造业。有效遵守个人防护装备(PPE)的必要性变得越来越重要。我们专注于开发基于目标检测(OD)和卷积神经网络(CNN)的非侵入性技术。目的是检测和核实正确使用各种类型的个人防护装备,如头盔、安全眼镜、口罩和防护服。本研究提出了SH17数据集,该数据集由8099张带注释的图像组成,包含从不同工业环境中收集的17个类别的75,994个实例,用于训练和验证OD模型。我们已经训练了最先进的OD模型进行基准测试,初步结果表明,You Only Look Once (YOLO)v9-e模型变体在PPE检测方面的准确率超过70.9%。跨领域数据集的模型验证表明,集成这些技术可以大大增强安全管理系统。此方法为寻求在保护其劳动力的同时遵守人类安全法规的行业提供了可扩展且高效的解决方案。该数据集可在https://github.com/ahmadmughees/sh17dataset上获得。
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引用次数: 0
DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model DDC-Chat:通过视觉语言模型的指令调优,实现对分心司机的准确分类
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-11-22 DOI: 10.1016/j.jnlssr.2024.10.001
Chupei Liao, Kuoyi Lin
Driver behavior is a critical factor in road safety, highlighting the need for advanced methods in Distracted Driving Classification (DDC). In this study, we introduce DDC-Chat, a novel classification method based on a Visual large Language Model (VLM). DDC-Chat is an interactive multimodal system built upon LLAVA-Plus, fine-tuned specifically for addressing distracted driving detection. It utilizes logical reasoning chains to activate visual skills, including segmentation and pose detection, through end-to-end training. Furthermore, instruction tuning allows DDC-Chat to continuously incorporate new visual skills, enhancing its ability to classify distracted driving behavior. Our extensive experiments demonstrate that DDC-Chat achieves state-of-the-art performance on public DDC datasets, surpassing previous benchmarks. In evaluations on the 100-Driver dataset, the model exhibits superior results in both zero-shot and few-shot learning contexts, establishing it as a valuable tool for improving driving safety by accurately identifying driver distraction. Due to the computational intensity of inference, DDC-Chat is optimized for deployment on remote servers, with data streamed from in-vehicle monitoring systems for real-time analysis.
驾驶员行为是影响道路安全的关键因素,因此需要先进的分心驾驶分类方法。在本研究中,我们引入了一种新的基于视觉大语言模型(VLM)的DDC-Chat分类方法。DDC-Chat是建立在LLAVA-Plus基础上的交互式多模式系统,专门针对分心驾驶检测进行了微调。它利用逻辑推理链来激活视觉技能,包括分割和姿态检测,通过端到端训练。此外,指令调整允许DDC-Chat不断融入新的视觉技能,增强其分类分心驾驶行为的能力。我们广泛的实验表明,DDC- chat在公共DDC数据集上实现了最先进的性能,超过了以前的基准。在对100个驾驶员数据集的评估中,该模型在零射击和少射击学习环境中都表现出优异的结果,通过准确识别驾驶员分心,将其建立为提高驾驶安全性的有价值工具。由于推理的计算强度,DDC-Chat针对远程服务器的部署进行了优化,并使用来自车载监控系统的数据流进行实时分析。
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引用次数: 0
Analysis of fire evacuation scenarios in children's cultural centers 儿童文化中心火灾疏散场景分析
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-11-18 DOI: 10.1016/j.jnlssr.2024.08.002
Muammer Yaman , Cüneyt Kurtay
Fires that occur in assembly buildings cause great loss of life and property. Children's cultural centers included in assembly buildings should also be evaluated within this context. Children create an occupant profile in cultural centers, and the internal environment has an excessive fire load, which poses a great risk of fires. In fire evacuation scenarios for children's cultural centers, it is necessary to create appropriate evacuation conditions. In this work, fire safety was analyzed over total evacuation time within occupant-based fire evacuation simulations of a children's cultural center located in Istanbul. The effect of the children's theatre hall located on the top floor on a building's total evacuation time has been studied. The effectiveness of alternative fire escape routes on evacuation time through different evacuation scenarios has been analyzed, and safe evacuation strategies for children's cultural centers have been revealed. As a result of this study, recommendations were presented within performance-based fire evacuation strategies in the design of children's cultural centers. As the future of the countries, fire safety design criteria have been created in children's cultural centers for children to be able to be safe in educational, cultural, and artistic environments.
发生在装配大楼的火灾会造成巨大的生命和财产损失。装配建筑中的儿童文化中心也应在此背景下进行评估。儿童在文化中心创造了一个居住者的形象,而内部环境有过大的火灾负荷,这带来了很大的火灾风险。在儿童文化中心火灾疏散场景中,需要创造适宜的疏散条件。在这项工作中,在伊斯坦布尔儿童文化中心基于乘员的火灾疏散模拟中,分析了消防安全在总疏散时间内的情况。儿童剧院大厅位于建筑物的顶层,对建筑物的总疏散时间的影响进行了研究。分析了不同疏散场景下备选消防逃生路线对疏散时间的影响,揭示了儿童文化中心的安全疏散策略。根据这项研究的结果,在儿童文化中心设计中提出了基于性能的消防疏散策略建议。作为国家的未来,儿童文化中心制定了消防安全设计标准,使儿童在教育、文化和艺术环境中能够安全。
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引用次数: 0
The value of a statistical life in assessing seismic resilience enhancement policies: A stated preference binary choice experiment 统计寿命在评估地震恢复力增强政策中的价值:一个陈述偏好二元选择实验
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2024-11-16 DOI: 10.1016/j.jnlssr.2024.09.003
Mohammad Amin Eshghi Nezami, Hamed Kashani
To decide about investments in appropriate seismic vulnerability reduction and resilience enhancement measures, policymakers need to acquire adequate insight into the value of a statistical life (VSL). The VSL measures the monetary value the public assigns to reducing mortality due to a specific risk (e.g., dying from an earthquake) over a given period. In the absence of appropriate models to estimate the context-specific VSL for a given community, past studies have resorted to approaches such as using the VSL estimated for other purposes (e.g., transportation and environmental safety) or other countries (e.g., the US). This can lead to under- or over-estimation of VSL, misappropriation of the funds for seismic vulnerability reduction programs, and adverse economic, political, and social consequences. This study proposes a methodology that follows the stated preference binary choice approach to estimate the willingness to pay (WTP) to reduce the risk of earthquake-induced mortalities. The proposed method, which is applied to quantify VSL in Iran, involves using a questionnaire to collect the needed information about people's choices when investing in various risk reduction measures. It uses a test containing positivity and proportionality components to check the responses’ consistency. Regression modeling is used to estimate the respondents’ WTP and VSL.
决策者需要充分了解统计寿命(VSL)的价值,以决定是否投资于适当的地震脆弱性降低和恢复力增强措施。VSL衡量的是公众在一定时期内为减少特定风险(例如,死于地震)造成的死亡率所赋予的货币价值。由于缺乏适当的模型来估计特定社区的特定环境VSL,过去的研究采用了诸如将估计的VSL用于其他目的(例如,交通和环境安全)或其他国家(例如,美国)等方法。这可能导致对VSL的低估或高估,挪用用于减少地震脆弱性项目的资金,以及不利的经济、政治和社会后果。本研究提出了一种方法,遵循陈述偏好二元选择方法来估计支付意愿(WTP),以降低地震导致的死亡风险。所提出的方法用于量化伊朗的VSL,包括使用问卷调查来收集人们在投资各种降低风险措施时的选择所需的信息。它使用包含积极性和比例成分的测试来检查响应的一致性。采用回归模型估计被调查者的WTP和VSL。
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引用次数: 0
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安全科学与韧性(英文)
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