Social media for enhanced understanding of disaster resilience during Hurricane Florence

Yuan, Faxi; Li, Min; Li, Rui; Zhai, Wei; Qi, Bing

doi:10.1016/j.ijinfomgt.2020.102289

Cited by 73 publications

(38 citation statements)

References 64 publications

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“…Women preferred to post about Theme 3 (typhoon status and impact) and Theme 4 (animals and humorous news), while people with more wealth paid less attention to these two themes during Typhoon Mangkhut. Yuan et al found that citizens with different demographic characters presented varying emotions and concerns in the same disasters [49]. These understandings of varying sentiments and concerns of different demographic groups can help crisis response managers design and implement on-target response strategies [37].…”

Section: Principal Resultsmentioning

confidence: 99%

Temporal, Spatial, and Socioeconomic Dynamics in Social Media Thematic Emphases during Typhoon Mangkhut

Zhu

Liu

2021

Sustainability

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Disaster-related social media data often consist of several themes, and each theme allows people to understand and communicate from a certain perspective. It is necessary to take into consideration the dynamics of thematic emphases on social media in order to understand the nature of such data and to use them appropriately. This paper proposes a framework to analyze the temporal, spatial, and socioeconomic disparities in thematic emphases on social media during Typhoon Mangkhut. First, the themes were identified through a latent Dirichlet allocation model during Typhoon Mangkhut. Then, we adopted a quantitative method of indexing the themes to represent the dynamics of the thematic emphases. Spearman correlation analyses between the index and eight socioeconomic variables were conducted to identify the socioeconomic disparities in thematic emphases. The main research findings are revealing. From the perspective of time evolution, Theme 1 (general response) and Theme 2 (urban transportation) hold the principal position throughout the disaster. In the early hours of the disaster, Theme 3 (typhoon status and impact) was the most popular theme, but its popularity fell sharply soon after. From the perspective of spatial distribution, people in severely affected areas were more concerned about urban transportation (Theme 2), while people in moderately affected areas were more concerned about typhoon status and impact (Theme 3) and animals and humorous news (Theme 4). The results of the correlation analyses show that there are differences in thematic emphases across disparate socioeconomic groups. Women preferred to post about typhoon status and impact (Theme 3) and animals and humorous news (Theme 4), while people with higher income paid less attention to these two themes during Typhoon Mangkhut. These findings can help government agencies and other stakeholders address public needs effectively and accurately in disaster responses.

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Section: Principal Resultsmentioning

confidence: 99%

Temporal, Spatial, and Socioeconomic Dynamics in Social Media Thematic Emphases during Typhoon Mangkhut

Zhu

Liu

2021

Sustainability

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“…The increasing availability of big data and advanced developments in artificial intelligence have called up the concept of smart flood resilience (Jongman 2018). Smart flood resilience can be described as using data, models, and artificial intelligence approaches to help people better respond and react to floods through enhanced predictive flood exposure and risk mapping before floods (Dong et al 2020b(Dong et al , 2020c, automated rapid impact assessment during floods (Yuan et al 2021b;Yuan and Liu 2020, 2018a, 2018b, infrastructure failure prediction and monitoring before and during floods (Dong et al 2020a;Fan et al 2020), and smart situational awareness in response and recovery during and after floods (Yuan et al 2021c(Yuan et al , 2020a(Yuan et al , 2020bPodesta et al 2020;Zhai et al 2020;Zhang et al 2020;Yuan and Liu 2018c). Therefore, our research contributes to the infrastructure failure prediction and monitoring during floods with concentrating on road network for augmenting smart flood resilience.…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding

Yuan¹,

Xu²,

Li³

et al. 2021

Preprint

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The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments' current status through the use of deep learning framework on fine-grained traffic data. Predictive flood monitoring for situational awareness of road network status plays a critical role to support crisis response activities such as evaluation of the loss of access to hospitals and shelters. Existing studies related to near-future prediction of road network flooding status at road segment level are missing. Using fine-grained traffic speed data related to road sections, this study designed and implemented three spatio-temporal graph convolutional network (STGCN) models to predict road network status during flood events at the road segment level in the context of the 2017 Hurricane Harvey in Harris County (Texas, USA). Model 1 consists of two spatio-temporal blocks considering the adjacency and distance between road segments, while Model 2 contains an additional elevation block to account for elevation difference between road segments. Model 3 includes three blocks for considering the adjacency and the product of distance and elevation difference between road segments. The analysis tested the STGCN models and evaluated their prediction performance. Our results indicated that Model 1 and Model 2 have reliable and accurate performance for predicting road network flooding status in near future (e.g., 2-4 hours) with model precision and recall values larger than 98% and 96%, respectively. With reliable road network status predictions in floods, the proposed model can benefit affected communities to avoid flooded roads and the emergency management agencies to implement evacuation and relief resource delivery plans.

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“…Therefore, in the practice of flood risk management, particular attention should be paid to the role of social media in shaping attitudes toward risk (com. Reutera et al 2019;Yuan et al. 2021;Kim and Madison 2020).…”

Section: Which Factors Are More Effective In Moderating Attitudes Toward Flood Risk?mentioning

confidence: 99%

Approaches in research on flood risk perception and their importance in flood risk management: a review

Lechowska

2021

Nat Hazards

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The study of flood risk perception factors can be considered by using different paradigms. In an attempt to understand risk perception, two basic paradigms can be distinguished: rationalist and constructivist. The rationalist approach tends to focus on modeling, characterizing, and predicting behavioral results regarding various threats. According to the constructivist paradigm, threats are perceived as socially constructed. This review paper aims to assess the importance of the rationalist and constructivist approaches in research on flood risk perception and flood risk management more broadly by answering the questions: (1) Which paradigm dominates the research of flood risk perception?, (2) What is the relationship between rationalistic and constructivistic factors (e.g., stimulation, weakening, strengthening, etc.)?, (3) which factors are more effective in moderating attitudes toward flood risk? The paper concludes by pointing out the desired direction of research on flood risk perception from the perspective of improving flood risk management. In contemporary empirical works managing the perception of flood risk, a rationalistic approach that psychometrically searches for cognitive models dominates. Often, statistically obtained dependencies are mutually exclusive. Studies on perception that apply the constructivist approach are in an early stage of development, nevertheless providing consistent results. They indicate that the social, political, cultural, religious, and historical contexts shape the perception of flood risk. On the basis of the aforementioned information, research on flood risk in a constructivist approach should be expanded, as it provides a clear, often underappreciated catalog of contextual factors shaping risk perception and, importantly, simultaneously moderating the influence of rationalist factors on flood risk perception.

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Social media for enhanced understanding of disaster resilience during Hurricane Florence

Cited by 73 publications

References 64 publications

Temporal, Spatial, and Socioeconomic Dynamics in Social Media Thematic Emphases during Typhoon Mangkhut

Temporal, Spatial, and Socioeconomic Dynamics in Social Media Thematic Emphases during Typhoon Mangkhut

Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding

Approaches in research on flood risk perception and their importance in flood risk management: a review

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