International journal of disaster risk reduction最新文献_第2页

Measurement of flood resilience of metro station based on combination weighting-cloud model 基于组合加权云模型的地铁站抗洪能力测量

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104950

{"title":"Measurement of flood resilience of metro station based on combination weighting-cloud model","authors":"","doi":"10.1016/j.ijdrr.2024.104950","DOIUrl":"10.1016/j.ijdrr.2024.104950","url":null,"abstract":"<div><div>To further improve the flood safety level of metro stations, this research combined resilience theory and used combination weighting-cloud model method to evaluate metro station flood resilience. Firstly, the connotation of metro station flood resilience was defined. Physical-social-information trio spaces theory was combined with the resilience performance process of resistance, response, recovery and adaptation to determine influencing factors and develop evaluation index system. Secondly, combination weighting method was used to obtain index weight and quantitative model of metro station flood resilience measurement was developed by combining obstacle degree and cloud models. Finally, taking 8 metro stations in Zhengzhou as examples, an empirical research was performed to verify the scientificity and rationality of the proposed model. The results showed that: (1) The flood resilience levels of Zhengzhou metro stations were good as a whole and their response resilience, recovery resilience and adaptation resilience were relatively better than their resistance resilience, which complied with actual situations. (2) Peak hour passenger flow, emergency medical ability, public opinion guidance ability, flood engineering transformation, intelligent information platform construction and other indicators were found to be the key obstacle factors of the flood resilience of Zhengzhou metro stations, which needed to be paid attention to.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cues facilitating collective sensemaking during emergencies: Gaps, inconsistencies, and indicators 紧急情况下促进集体意识形成的线索：差距、不一致和指标

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104897

{"title":"Cues facilitating collective sensemaking during emergencies: Gaps, inconsistencies, and indicators","authors":"","doi":"10.1016/j.ijdrr.2024.104897","DOIUrl":"10.1016/j.ijdrr.2024.104897","url":null,"abstract":"<div><div>In emergency communications centers, call takers gather information from 9-1-1 callers which dispatchers then radio to first responders. This workflow changes, however, when communications specialists are introduced to work alongside call takers and dispatchers to make sense of information gathered from multiple physical and social sensors during emergencies. While the work of cross-functional communications teams stands to improve the timeliness and quality of situational awareness information dispatched to first responders, the sociotechnical requirements for collective sensemaking in next-generation emergency communications work remains understudied.</div><div>In this research-through-design study, a prototype dashboard and synthetic datasets were developed to examine how cues—informational features that prompt recognition and response—facilitated collective sensemaking among telecommunicators gathering information from 9-1-1 calls and social media during active assailant and flood emergency exercises. During these exercises, three types of cues—gaps, inconsistencies, and indicators—facilitated collective sensemaking by enabling the team to collaboratively assess and reassess incidents reported during the emergencies. However, these cues facilitated collective sensemaking only when paired with multiple resources and coordination mechanisms, including a common operational picture, domain ontology, and standard operating procedures, that allowed telecommunicators to recognize and respond to cues by seeking information to update and modify representations of events shared among members of the communications team. By theorizing cues as relationships between physical features of the environment and actors capable of recognizing and responding to these features, and conceptually defining types of cues that facilitate collective sensemaking, this study offers implications for the design of technologies and work organizations that support collective sensemaking processes.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Urban flood hazard insights from multiple perspectives based on internet of things sensor data 基于物联网传感器数据的多角度城市洪水灾害洞察力

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104919

{"title":"Urban flood hazard insights from multiple perspectives based on internet of things sensor data","authors":"","doi":"10.1016/j.ijdrr.2024.104919","DOIUrl":"10.1016/j.ijdrr.2024.104919","url":null,"abstract":"<div><div>Floods are major global natural disasters that cause significant damage. Analyzing urban flood hazards is essential for urban planning and sustainable development. The shift toward proactive urban disaster prevention requires expanding flood hazard assessments beyond flood depth to encompass a broader range of factors to enhance resilience. This study introduces a multiple perspective analysis of urban flood hazards based on internet of things (IoT) sensor data, such as maximum flood depth, total flood events, average drainage time, average accumulation efficiency and average drainage efficiency. This research assesses detailed flood hazards of urban areas and points of interest (POIs) and finds a significant difference of up to 14.6 % in extreme-hazard areas when multiple hazard indicators are used, with the maximum flood depth indicator showing the highest proportion. For medium-hazard areas, the total flood event indicator yielded the highest proportion, accounting for up to 35.7 % of the area. The findings also indicate that POI flood hazards vary significantly depending on the indicator. Medical facilities were found to have extended impacts due to prolonged water accumulation and drainage times, despite infrequent flooding, suggesting that many locations are subject to a moderate hazard level. The study also highlights the heightened hazard of residential buildings in extreme scenarios, underscoring the need for enhanced flood mitigation in residential planning. This study emphasizes adopting multiple perspectives in flood hazard assessment, challenging the traditional reliance on single metrics. This study provides valuable insights for urban planners and policy-makers and advocates for a holistic approach to urban flood risk.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Natural and environmental risk communication: A scoping review of campaign experiences, applications and tools 自然与环境风险交流：活动经验、应用和工具的范围审查

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104936

引用次数: 0

Climate change vulnerability assessment for adaptation planning in Uttarakhand, Indian Himalaya 为印度喜马拉雅山脉北阿坎德邦的适应规划进行气候变化脆弱性评估

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104938

{"title":"Climate change vulnerability assessment for adaptation planning in Uttarakhand, Indian Himalaya","authors":"","doi":"10.1016/j.ijdrr.2024.104938","DOIUrl":"10.1016/j.ijdrr.2024.104938","url":null,"abstract":"<div><div>Climate change vulnerability estimation at all spatial scales is imperative for the development of effective adaptation strategies in the biogeographically fragile Himalayan region. This study aims to estimate district-wise climate change vulnerability in the state of Uttarakhand for the year 2022 by integrating climatic, environmental, and socio-economic factors. Employing an integrated approach, nine components (climate change, natural disaster, ecosystem services, agriculture, socio-economic status, human resource capacity, infrastructure, basic facilities, and social/natural capital) incorporating a total of 63 indicators, are used to estimate exposure (E), sensitivity (S), adaptive capacity (AC) and the vulnerability of the study area. Principal component analysis (PCA) is used to assess the suitability and weights of all the indicators. The findings show that middle (1400–2400 m a.s.l.) and higher (>2400 m a.s.l.) districts of the state are more vulnerable (−0.68 to −1.50) than lower (1–1400 m a.s.l.) districts (0.16 to −0.26). Based on the vulnerability index (−0.68 to −1.50), five districts-Uttarkashi, Rudraprayag, Chamoli, Champawat, Pithoragarh, and Bageshwar are identified as priority districts for adaptation planning. The high vulnerability is primarily attributed to increased exposure to excessive precipitation, cold waves, cloudbursts, and flood events, coupled with high ecosystem sensitivity and low adaptive capacity. In contrast, the lower districts of the state benefit from better infrastructure, social and natural capital, and connectivity, which contribute to low vulnerability. The suggested strategies in the present study would help policymakers to allocate resources efficiently, fostering long-term resilience to climate change and sustainable development.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Disaster awareness levels and institutional responsibility perceptions of international students in Turkey 土耳其留学生对灾害的认识水平和对机构责任的看法

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104939

{"title":"Disaster awareness levels and institutional responsibility perceptions of international students in Turkey","authors":"","doi":"10.1016/j.ijdrr.2024.104939","DOIUrl":"10.1016/j.ijdrr.2024.104939","url":null,"abstract":"<div><div>This study aimed to investigate the disaster awareness levels and institutional responsibility perceptions of international students in Turkey. Turkey is a country that is prone to natural disasters, and it is important to receive disaster training to be prepared for disasters. Turkey hosts more than three hundred thousand international students from 198 different countries. Bartın is one of the cities where international students receive education. Bartın is a risky city in terms of disasters such as earthquakes, floods, and landslides. This is why it is highly important for international students living in Bartın to receive disaster training. Other important issues include which institutions they would reach in a disaster situation, how they would reach them, and how they should act during a disaster. It was determined that 40 % of the participants had not received disaster training and were not sufficiently knowledgeable about relevant institutions. It was also observed that some of the responses of the participants were influenced by their gender, age, duration of living in Turkey, whether there was a risk of disasters in their home country, disaster experiences, whether they experienced loss in disasters, and whether they had received disaster-related training.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Population activity recovery: Milestones unfolding, temporal interdependencies, and relationship with physical and social vulnerability 人口活动的恢复：正在展开的里程碑、时间上的相互依赖以及与身体和社会脆弱性的关系

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104931

{"title":"Population activity recovery: Milestones unfolding, temporal interdependencies, and relationship with physical and social vulnerability","authors":"","doi":"10.1016/j.ijdrr.2024.104931","DOIUrl":"10.1016/j.ijdrr.2024.104931","url":null,"abstract":"<div><div>Understanding sequential community recovery milestones is crucial for proactive recovery planning and monitoring and targeted interventions. This study investigates these milestones related to population activities to examine their temporal interdependencies and evaluate the relationship between recovery milestones and physical (residential property damage) and socioeconomic vulnerability (through household income). This study leverages post-2017 Hurricane Harvey mobility data from Harris County to specify and analyze temporal recovery milestones and their interdependencies. The analysis examined four key milestones: return to evacuated areas, recovery of essential and non-essential services, and the rate of home-switch (moving out of residences). Robust linear regression validates interdependencies between across milestone lags and sequences: achieving earlier milestones accelerates subsequent recovery milestones. The study thus identifies six primary recovery milestone sequences. We found that socioeconomic vulnerability accounted through the median household income level, rather than physical vulnerability to flooding accounted through the property damage extent, correlates with recovery delays between milestones. We studied variations in recovery sequences across lower and upper quantiles of property damage extent and median household income: lower property damage extent and lower household income show greater representation in the “slowest to recover” sequence, while households with greater damage and higher income are predominant in the group with the “fastest recovery sequences”. Milestone sequence variability aligns closely with income, independent of physical vulnerability. This empowers emergency managers to effectively monitor and manage recovery efforts, enabling timely interventions.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial analysis of major industrial risks of petroleum origin in urban areas - The case of the city of Hassi-Messaoud 城市地区源自石油的主要工业风险的空间分析 - 哈西-梅萨乌德市的案例

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104916

{"title":"Spatial analysis of major industrial risks of petroleum origin in urban areas - The case of the city of Hassi-Messaoud","authors":"","doi":"10.1016/j.ijdrr.2024.104916","DOIUrl":"10.1016/j.ijdrr.2024.104916","url":null,"abstract":"<div><div>Aiming at an efficient management of its oil sector and ensuring safety for its population and property, Algeria is currently engaged in all-out assessment approach. Efficient management and safety prove to be crucial parameters in oil-related activity. The major risks degree of the severity of whatever nature have impacts of various and diverse dimensions. The current study presents an occasional paradox case that which combines all high-risk elements and specific factors associated with them in an urban environment, which is made fragile and vulnerable due to its heavy exposure to a highly probable danger. The city of Hassi-Messaoud, the most important component of the Country's economy, witnesses an alarming spatial development driven by an exceptional population growth. The latter is primarily expressed through the incessant influx of immigrants attracted by promising job prospects in the oil industry sector. Coupled with the uncontrolled population movement, the urban expansion lends itself to the most dramatic aspect of Hassi-Messaoud and eventually exposes it to certain dangers all the more as Hassi-Messaoud is located in an area subject to significant potential oil-based risks.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel spatial-aware deep learning approach for exploring the environmental context of terrorist attacks and armed conflicts 探索恐怖袭击和武装冲突环境背景的新型空间感知深度学习方法

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104921

{"title":"A novel spatial-aware deep learning approach for exploring the environmental context of terrorist attacks and armed conflicts","authors":"","doi":"10.1016/j.ijdrr.2024.104921","DOIUrl":"10.1016/j.ijdrr.2024.104921","url":null,"abstract":"<div><div>The quantitative assessment of terrorist attacks and armed conflicts (TAACs) is a crucial component of global public safety research and is vital for societal stability and national security. This study addresses the spatial dependency of such events, i.e., the relationship between the outbreak of an event and its environment. Based on geographic big data and artificial intelligence (AI), we propose a spatial feature utilization pattern that takes into account the impact of the event environment, and established a deep learning (DL) framework of features within the joint event location and space neighborhood to improve the precision of the quantitative assessment. The results demonstrate that in scenarios under a combination of 14 social, natural, and geographic driving factors, models that incorporate spatial features outperform those that only use location features during both the training and testing phases. Furthermore, models that consider both location and spatial features outperform models using only a single feature across various evaluation metrics. Global attribution analysis further confirms the spatial dependency of events, manifested in the mutual influence on the likelihood of events occurring among adjacent cities and the correlation with various environmental factors, particularly elements related to human activities and living environments. We find that both prosperous urban centers and underdeveloped rural areas are hotspots for TAACs, and that such events more likely to occur in harsh climatic patterns characterized by high temperatures and low precipitation. This enhances our understanding and preparedness for managing and preventing such events.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying post-disaster community well-being: A case study of Hurricane Harvey 量化灾后社区福祉：哈维飓风案例研究

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI: 10.1016/j.ijdrr.2024.104903

{"title":"Quantifying post-disaster community well-being: A case study of Hurricane Harvey","authors":"","doi":"10.1016/j.ijdrr.2024.104903","DOIUrl":"10.1016/j.ijdrr.2024.104903","url":null,"abstract":"<div><div>Natural hazards such as hurricanes affect various aspects of the community members’ lives and their post-disaster well-being by causing significant disruptions in the key community activities in the immediate recovery phase. Furthermore, natural hazards leave behind short-term socio-economic impacts such as stress, anxiety, huge recovery expense, and lack of affordable housing. There is a need for incorporating both immediate and short-term impacts of natural hazards when measuring disaster recovery. This study aims to address this need by introducing community well-being as the metric for the recovery of communities from natural disasters. From this perspective, community resilience is defined as the capability of community to reach its pre-disaster state of well-being, in a timely and efficient manner. The study leverages Bottom-Up Spillover Theory and the existing literature to introduce a community well-being model. This model quantifies how the functionality of infrastructure systems can affect various aspects of community well-being based on 6 domains, 17 sub-domains, and 51 indicators. The indicators were quantified using survey data and 211-call data for the City of Houston, and data on the impact of Hurricane Harvey at the zip code level. The results showed that various dimensions of well-being were affected heterogeneously and followed different recovery patterns. The proposed framework can serve decision makers as a dashboard for identifying the well-being domains and sub-domains that should be addressed to enhance post-disaster well-being in the immediate-to short-term. Furthermore, the study introduces the phone call data as an inexpensive and timely replacement for multiple rounds of survey questionnaires for quantifying community well-being.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0