A new approach to estimating flood-affected populations by combining mobility patterns with multi-source data: A case study of Wuhan, China

Liu, Xiaoyan; Yang, Saini; Ye, Tao; An, Rui; Cuizhen, Chen

doi:10.1016/j.ijdrr.2021.102106

Cited by 24 publications

(27 citation statements)

References 48 publications

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“…In this study, a multiple index system was constructed to assess the flood risk in Wuhan during 2000-2018. Many previous studies evaluated the flood risk and estimated socio-economic losses based on social media data, with a combination of mobility patterns and multi-source data [49][50][51]. In contrast, this study assessed flood risk on the basis of climatic data, natural physical data, land use data, and socio-economic data.…”

Section: Discussionmentioning

confidence: 99%

“…The results showed that Jianghan, Qiaokou, Jiang'an, and Wuchang districts had the highest risk of flood disaster in Wuhan, which is consistent with findings of other research. For example, Liu et al (2021) showed that central Wuhan and southeast sub-districts were typically affected by floods [50]. Wuhan plays an important role in the development of the Yangtze River Economic Belt.…”

Section: Discussionmentioning

confidence: 99%

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Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Song

Lü

2021

Land

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Frequently occurring flood disasters caused by extreme climate and urbanization processes have become the most common natural hazard and pose a great threat to human society. Therefore, urban flood risk assessment is of great significance for disaster mitigation and prevention. In this paper, the analytic hierarchy process (AHP) was applied to quantify the spatiotemporal variations in flood risk in Wuhan during 2000–2018. A comprehensive flood risk assessment index system was constructed from the hazard, sensitivity, and vulnerability components with seven indices. The results showed that the central urban area, especially the area in the west bank of the Yangtze river, had high risk due to its high flood sensitivity that was determined by land use type and high vulnerability with dense population and per unit GDP. Specifically, the Jianghan, Qiaokou, Jiangan, and Wuchang districts had the highest flood risk, more than 60% of whose area was in medium or above-medium risk regions. During 2000–2018, the flood risk overall showed an increasing trend, with Hongshan district increasing the most, and the year of 2010 was identified as a turning point for rapid risk increase. In addition, the comparison between the risk maps and actual historical inundation point records showed good agreement, indicating that the assessment framework and method proposed in this study can be useful to assist flood mitigation and management, and relevant policy recommendations were proposed based on the assessment results.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Song

Lü

2021

Land

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“…Various scholars have used geotagged social media data, such as data from Twitter (Rahimi-Golkhandan et al, 2021; Wang and Taylor, 2014, 2018; Wang et al, 2020) and Weibo (Liu et al, 2021). Wang et al (2020) utilized aggregated location data from Twitter to compute and compare network-wide indicators before, during, and after disasters in a case study of Hurricane Harvey and the floods that followed in Greater Houston, Texas, in 2017.…”

Section: Human Mobility Data and Analytical Approachesmentioning

confidence: 99%

“…For example, Song et al (2017) used diverse data sources (e.g., GPS data records of 1.6 million users over 3 years, news report data, and transportation network data) to understand and simulate human evacuation behavior and routes during different disasters. Later, Liu et al (2021) provided more detailed and effective disaster information by combining Weibo data with hazard maps. Xing et al (2021) proposed a method of integrating crowdsourced data, such as social network service (SNS) data, and mobile phone data from the Jiuzhaigou earthquake in Sichuan, China, to identify the effects of a disaster, the disaster type, and the location of the affected population in response to emergency management.…”

Section: Human Mobility Data and Analytical Approachesmentioning

confidence: 99%

“…Population distribution data are human mobility data that are derived, analyzed, or simulated on a grid basis using datasets representing a population, such as census data. They tend to be combined with other grid data, such as hazard maps (Liu et al, 2021; Renner et al, 2018) and digital elevation maps (Khakpour and Rød, 2016). Population distribution analysis is better suited for detecting large spatiotemporal scale patterns and changes, such as daily, hourly, or seasonal fluctuations (Chen et al, 2020; Freire and Aubrecht, 2012; Renner et al, 2018).…”

Section: Human Mobility Data and Analytical Approachesmentioning

confidence: 99%

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Human mobility data and analysis for urban resilience: A systematic review

Haraguchi

Nishino

Kodaka

et al. 2022

Environment and Planning B: Urban Analytics and City Science

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The impacts of disasters are increasing due to climate change and unplanned urbanization. Big and open data offer considerable potential for analyzing and predicting human mobility during disaster events, including the COVID-19 pandemic, leading to better disaster risk reduction (DRR) planning. However, the value of human mobility data and analysis (HMDA) in urban resilience research is poorly understood. This review highlights key opportunities for and challenges hindering the use of HMDA in DRR in urban planning and risk science, as well as insights from practitioners. A gap in research on HMDA for data-driven DRR planning was identified. By examining human mobility studies and their respective analytical and planning tools, this paper offers deeper insights into the challenges that must be addressed to improve the development of effective data-driven DRR planning, from data collection to implementation. In future work on HMDA, (i) the human mobility of vulnerable populations should be targeted, (ii) research should focus on disaster mitigation and prevention, (iii) analytical methods for evidence-based disaster planning should be developed, (iv) different types of data should be integrated into analyses to overcome methodological challenges, and (v) a decision-making framework should be developed for evidence-based urban planning through transdisciplinary knowledge co-production.

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Robustness test of multiple protection strategies for ecological networks from the perspective of complex networks: Evidence from Wuhan Metropolitan Area, China

Xing

Liu

2022

Land Degrad Dev

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Robustness is the key for strategies to protect ecological network (ENs) against external threats. In this study, we proposed a research framework for robustness testing of EN protection strategies. First, we constructed the ENs of Wuhan Metropolitan Area (WHM) based on the advantages of circuit theory in landscape ecology.We then extended complex network theory to the migration application of ENs. Five protection strategies of ENs were antagonistically combined with multiple attack modes to implement multi-scenario simulations of attacks on ENs. The robustness parameters of the complex network were applied to measure the effectiveness of EN protection strategies under different attack efficiencies. The results showed that identifying the key performance of ENs makes hierarchical protection of ENs possible. Therefore, when focusing on maintaining the transmission efficiency and global connectivity, or preventing fragmentation of ENs in WHM, we recommend protecting the main trunks of ENs. When focusing on maintaining the backbone connectivity of ENs in WHM, we recommend protecting the main-secondary trunks of ENs. We argue that specific protection strategies and directions can be determined according to the objectives of ecological construction and the scheme we put forward.

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A new approach to estimating flood-affected populations by combining mobility patterns with multi-source data: A case study of Wuhan, China

Cited by 24 publications

References 48 publications

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Human mobility data and analysis for urban resilience: A systematic review

Robustness test of multiple protection strategies for ecological networks from the perspective of complex networks: Evidence from Wuhan Metropolitan Area, China

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