2019
DOI: 10.1029/2019ef001226
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Integrating Typhoon Destructive Potential and Social‐Ecological Systems Toward Resilient Coastal Communities

Abstract: The resilience of coastal communities becomes a critical issue of the social-ecological system adapting to impacts from hazards on coastal well-being. This paper formulates a framework integrating typhoon destructive potential and social-ecological system from a perspective of coastal resilience. Typhoon destructive potential is interpreted using the Power Dissipation Index as a metric. We use the distributional models in geographic information systems to identify the spatial hotspots of high Power Dissipation… Show more

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Cited by 24 publications
(7 citation statements)
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References 60 publications
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“…The higher percentage of mobile phone users shows a good communication status of a society, which can help responding effectively. Sajjad et al, ( 2019 , 2021 ) SC7 Poverty Poverty is measured as the percentage of population living below the national poverty line. Das & DSouza, ( 2020 ), Walters, ( 2015 ) SC8 Access to electricity + It is measured as the percentage of population who has access to electricity and their main source of lighting and cooking is electricity dependent.…”
Section: Study Design: Materials and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The higher percentage of mobile phone users shows a good communication status of a society, which can help responding effectively. Sajjad et al, ( 2019 , 2021 ) SC7 Poverty Poverty is measured as the percentage of population living below the national poverty line. Das & DSouza, ( 2020 ), Walters, ( 2015 ) SC8 Access to electricity + It is measured as the percentage of population who has access to electricity and their main source of lighting and cooking is electricity dependent.…”
Section: Study Design: Materials and Methodsmentioning
confidence: 99%
“…As the emphasis of our study is quantitative analysis, which focuses on the measurement of data and statistics, it is essential to compare the indicators on the same scale. Due to different measurement units of these indicators, we use a normalization method to make them non-dimensional (Sajjad et al, 2019 ). This normalization method distributes the indicator values between 0 and 1 making the indicators comparable on the same scale, where values closer to 1 means better situation and vice versa.…”
Section: Study Design: Materials and Methodsmentioning
confidence: 99%
“…Among these parameters, an increase in the parameter value (for all parameters except R 2 ) indicates that the interpolation technique is less suitable. To compute the AI, the values of all the parameters were normalized to non-dimensional using a minimum–maximum normalization method 45 47 . For the normalization of ME, RMSSE, ASE, RMSE, and MSE, the following was used: due to their negative contribution towards the suitability.…”
Section: Methodsmentioning
confidence: 99%
“…In most previous studies, the point wind speed data recorded every 6 h along TC tracks were directly used for TC disaster damage analysis and risk assessment at the state or regional scale (Sajjad et al 2019). In order to confirm the feasibility of point wind speed along TC tracks, the MWS recorded from the neighboring TC track points were validated with those observed at the province's weather stations.…”
Section: Simulation Of Grid Maximum Wind Speedmentioning
confidence: 99%
“…The spatiotemporal analysis of wind disaster risks helps to reduce the impacts of TC disasters. Various studies have investigated the spatiotemporal variations of TC wind disaster risk at scales from regional and national to global (Hoque et al 2019;Sajjad et al 2019), which were much larger than those at which the disaster loss occurs. Wang et al (2021) investigated the spatiotemporal distribution of typhoon disaster frequency and direct economic loss for 11 coastal provinces in China at the provincial scale.…”
Section: Introductionmentioning
confidence: 99%