On centrality-related disaster vulnerability of network regions

2017 ◽  
Author(s):  
Farabi Iqbal ◽  
Fernando Kuipers
Keyword(s):  
Disaster Vulnerability

Multidimensional research on agrometeorological disasters based on grey BP neural network

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bingjun Li ◽  
Shuhua Zhang
Keyword(s):  
Neural Network ◽  
Natural Disaster ◽  
Bp Neural Network ◽  
Henan Province ◽  
Assessment System ◽  
Systematic Analysis ◽  
Content Type ◽  
Analysis And Evaluation ◽  
Grain Crops ◽  
Disaster Vulnerability

PurposeThe purpose of this study to provide a reference basis for effectively managing the risk of agrometeorological disasters in Henan Province, speeding up the establishment of a scientific and reasonable system of agrometeorological disasters prevention and reduction and guaranteeing grain security.Design/methodology/approachFirstly, according to the statistical data of areas covered by natural disaster, areas affected by natural disaster, sown area of grain crops and output of grain crops from 1979 to 2018 in Henan Province, China. We have constructed an agrometeorological disaster risk assessment system for Henan province, China, which is composed of indicators such as rate covered by natural disaster, rate affected by natural disaster, disaster coefficient of variation and disaster vulnerability. The variation characteristics of agrometeorological disasters in Henan Province and their effects on agricultural production are analyzed. Secondly, the grey relational analysis method is used to analyze the relation degree between the main agrometeorological disaster factors and the output of grain crops of Henan Province. Based on the grey BP neural network, the rate covered by various natural disaster and the rate affected by various natural disaster are simulated and predicted.FindingsThe results show that: (1) the freeze injury in the study period has a greater contingency, the intensity of the disaster is also greater, followed by floods. Droughts, windstorm and hail are Henan Province normal disasters. (2) According to the degree of disaster vulnerability, the ability to resist agricultural disasters in Henan Province is weak. (3) During the study period, drought and flood are the key agrometeorological disasters affecting the grain output of Henan Province, China.Practical implicationsThe systematic analysis and evaluation of agrometeorological disasters are conducive to the sustainable development of agriculture, and at the same time, it can provide appropriate and effective measures for the assessment and reduction of economic losses and risks.Originality/valueBy calculating and analyzing the rate covered by natural disaster, the rate affected by natural disaster, disaster coefficient of variation and disaster vulnerability of crops in Henan Province of China and using grey BP neural network simulation projections for the rate covered by various natural disaster and the rate affected by various natural disaster, the risk assessment system of agrometeorological disasters in Henan is constructed, which provides a scientific basis for systematic analysis and evaluation of agrometeorological disasters.

scholarly journals Spatial distribution of slums and its association with disaster vulnerability in Yogyakarta City

2020 ◽  
Vol 200 ◽  
pp. 03011
Author(s):  
Djaka Marwasta ◽  
Theresia D. K. Rahayu
Keyword(s):  
Urban Areas ◽  
Secondary Data ◽  
Research Area ◽  
Survey Method ◽  
Gis Mapping ◽  
Population Census ◽  
Disaster Vulnerability ◽  
Data Survey ◽  
Quantitative Descriptive ◽  
Yogyakarta City

Slums commonly distributed in susceptible environment or in location that occupied by low economic household, especially in urban areas. Empirically, in Indonesia, the data about distribution and total area of slums is quite hard to be acquired, since slums indicators is not standardized yet. This study aimed to (1) identify the distribution of slums in Yogyakarta City, based on multi-sources data; and (2) elaborate the linkage between slums location and disaster vulnerability in research area. This research uses a mixed methods, i.e utilization of secondary data, survey method, and GIS mapping. Analysis units of this research are “Kelurahan”, where all “Kelurahan” which have slums are chosen as members of population (census technique). Indepth interview conducted in order to collect disaster vulnerability data in each “Kelurahan”. Informant that chosen as representative person in each “Kelurahan” are “Lurah” or “Secretary of Lurah”. All of the data are analyzed by qualitative and quantitative descriptive method. Conclusion of this study are: (1) Slums in Yogyakarta City distributed mainly along three main rivers, and (2) There are very closed association between slums area and disaster vulnerable zones.

scholarly journals Quantitative Vulnerability Assessment: An Approach to Reduce Biases in Disaster Vulnerability Assessment

2019 ◽  
Vol 14 (3) ◽  
pp. 383-399
Author(s):  
Shikha Karmokar ◽  
Md. Mintu Mohin ◽  
Molla Karimul Islam ◽  
Md. Rezaul Alam ◽  
Mohammad Mahfuzur Rahman
Keyword(s):  
Social Norms ◽  
Social Structure ◽  
Vulnerability Assessment ◽  
Policy Formulation ◽  
Disaster Vulnerability ◽  
Quantitative Form ◽  
The Social ◽  
The Status ◽  
Agreed Framework ◽  
Vulnerability Score

The cyclone vulnerability of women is much higher than men due to their poverty, social norms and marginal position in the social structure. Reducing women’s vulnerability is, therefore, imperative to improve the situation. However, the present practices of vulnerability assessment have several limitations. As an alternative, this study proposed and tested a weighted framework to assess the vulnerability in a quantitative form. The proposed framework considers 18 indicators carefully adapted from vulnerability literature. The indicator statuses were defined based on their vulnerability potentials and assigned an integer value. The higher the status value the greater the vulnerability potentials. The indicator’s status values were standardized, and their weights were estimated. The vulnerability scores for every indicator thereafter estimated by multiplying its status value by its weight. Finally, an individual’s vulnerability score was calculated by taking the average vulnerability scores of all the indicators. The framework was tested on 140 randomly selected cyclone-affected women from ten coastal villages of Bangladesh. The proposed scores-based vulnerability expresses the vulnerability status with an integer value easier to understand and allows spatial comparability. This framework could be improved further preferably through stakeholder consultations about the appropriateness of the indicators, indicator statuses, and their weights. An improved and well-agreed framework would assist in integrative policy formulation to reduce women’s vulnerability to cyclone disaster. Moreover, this approach could be adopted in vulnerability ranking/mapping for other disasters.

Research on the Assessment of Disaster-Carrying Bodies’ Comprehensive Vulnerability on Variable Fuzzy Clustering

2014 ◽  
Vol 998-999 ◽  
pp. 1227-1230
Author(s):  
Jing Wang ◽  
Dong Ming Wang
Keyword(s):  
Data Processing ◽  
Fuzzy Clustering ◽  
Vulnerability Assessment ◽  
Index System ◽  
Vulnerability Index ◽  
Index Model ◽  
Disaster Vulnerability ◽  
Urban Disaster ◽  
Risk Research ◽  
The Index System

The disaster-carrying bodies’ comprehensive vulnerability is a key to the risk research of urban disaster. Vulnerability is a comprehensive attribute of the hazard-carrying bodies and is affected deeply by society, economic and environment. The index system of the vulnerability assessment is worked out with the method of variable fuzzy clustering. The comprehensive vulnerability index model is structured, and the comprehensive vulnerability is calculated in the following example. Comparative to the existing research, variable fuzzy clustering and comprehensive vulnerability index model are more objective in data processing and the influence of the clustering categories is reduced.

Community Disaster Vulnerability

2013 ◽  
Author(s):  
Michael J. Zakour ◽  
David F. Gillespie
Keyword(s):  
Disaster Vulnerability

Disaster, Vulnerability, and Violence Against Women

2018 ◽  
pp. 235-250
Author(s):  
Khandakar Josia Nishat ◽  
Md. Shafiqur Rahman
Keyword(s):  
Cultural Studies ◽  
Natural Disasters ◽  
Violence Against Women ◽  
Meta Analysis ◽  
Cross Cultural ◽  
Cultural Norms ◽  
Policy Options ◽  
Men And Women ◽  
Research Framework ◽  
Disaster Vulnerability

Studies of natural disasters have adequately focused on gendered aspect of disaster and women's vulnerability and offered suitable suggestions though only few of these have focused on the issue of the relation between disaster and violence against women. By undertaking meta-analysis of cross-cultural studies, this paper aims to provide an overview of connections between disaster, women's vulnerability and violence against women and to highlight the importance and the relevance of similar researches in Bangladesh. Natural threats are real and moderated by existing socio-economic arrangements and cultural norms in Bangladesh where gender relationships are unequal and violence prone. Therefore it is expected that the lessons of international experiences and insights will help to develop a gendered research framework to understand ‘how violence against women is increasing following disasters' in the context of Bangladesh. And finally, that would pave the way for policy options to form a better co-existence for both men and women which would be more equal, dignified and violence free.

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