scholarly journals Population Evacuation Need Assessment in Cyclone Affected Barguna District

1970 ◽  
Vol 2 ◽  
pp. 145-157 ◽  
Author(s):  
Umma Tamima
Keyword(s):  
Social Vulnerability ◽  
Three Dimensions ◽  
Risk Indicators ◽  
Building Structures ◽  
Spatial Disparity ◽  
Risk Zone ◽  
Socioeconomic Vulnerability ◽  
Economic Vulnerability ◽  
Evacuation Strategy ◽  
Vulnerability Map

Spatial difference in geophysical risk and social vulnerability presents challenges to emergency planners to develop an effective evacuation strategy for cyclone zones. This study examines spatial variability in evacuation assistance needs during cyclone hazard in Barguna district. For this, composite vulnerability map of unions in Barguna district is developed based on the community demographics, resources, structures and geophysical risk indicators. Four evacuation dimensions are analyzed based on population traits and building structures index, differential access to resources index, special evacuation needs index and a combination of three dimensions. Results indicate that relative majority of the unions are characterized by high evacuation assistance need and similar scenario exists in the spatial distribution of geophysical risk and socio-economic vulnerability. Nevertheless, spatial disparity of socioeconomic vulnerability is also observed among the unions within the geophysical risk zone. The coastal unions of Barguna districts are identified as the geophysical risk zone of which Raihanpur, Bardarkhali, Keorabunia, Burir Char, Amtali, Haldia, Arpagashia, Barguna, Dhalua, Kakchira, Nachnapara, Kantaltali, Char Duanti, Kalmegha, Patharghata, Barabagi, Karaibaria, Pancha Karalia, Naltona, and Baliatali unions are within the high geophysical risk zone. Furthermore, depending on the indices it is revealed that 72.26 percent people are living within the geophysical risk zone, while 17.72 percent and 47.42 percent people are living within the high and medium socio-economic vulnerable regions respectively. Thus this study finds out that about 65.14 percent people of Barguna district require evacuation assistance needs.  DOI: http://dx.doi.org/10.3329/jbip.v2i0.9575Journal of Bangladesh Institute of Planners Vol. 2, December 2009, pp. 145-157

A vulnerability index for climate related risks in Sweden

2021 ◽  
Author(s):  
Jan Haas ◽  
Konstantinos Karagiorgos ◽  
Lars Nyberg ◽  
Andreas Pettersson
Keyword(s):  
Social Vulnerability ◽  
Social Inequalities ◽  
National Level ◽  
Principal Component ◽  
Vulnerability Index ◽  
Socioeconomic Vulnerability ◽  
Climate Risks ◽  
Spatial Level ◽  
Socio Economic Variables ◽  
The Impact

<p>Social vulnerability is mostly described as specific social inequalities in the context of a disaster. Following this understanding, empirical research focuses on the unequal exposure of different groups to disasters and/or on the unequal capacities of groups to anticipate, cope and recover from the impact of a hazard. Although social vulnerability has recently gained attention in academia, Sweden lacks frameworks and indicators to assess it at a national level.</p><p>Following the large amount of publicly available data in Sweden, to address this gap, we present a method for quantifying social vulnerability to climate risks in Swedish municipalities. A large number of variables were collected and analyzed to create quantitative indicators that purport to measure a municipality’s vulnerability. Using Principal Component Analysis (PCA), the information in the variables was reduced to a smaller number of components and socioeconomic vulnerability scores for each Swedish municipality. The factor analysis resulted in five components explaining more than 75% of the total variance. The resulting components and the final index are mapped for each municipality.</p><p>The results show that socio-economic vulnerability is not evenly distributed across Sweden. Apart from those findings the fact that some municipal clusters are much more vulnerable than others, the developed method is a useful tool for comparing socio-economic conditions among municipalities and for identifying susceptible municipalities which are likely to face significant challenges in coping with future natural hazard events.</p><p>Preliminary results show similar trends of social vulnerability to natural hazards at a highly resolved spatial level of aggregation as comparted to municipal levels. As studies on social vulnerability are often data-driven and thus performed on larger administrative aggregations, the sub-set of socio-economic variables from Statistics Sweden used in this study was found useful in our approach. In order to explore social vulnerability in conjunction with coastal and fluvial flood scenarios, an interactive web map was created with ArcGIS Dashboards.</p>

scholarly journals Mapping Social and Economic Vulnerability in Forest and Peatland Fire Disaster in Bengkalis Regency, Riau Province

2015 ◽  
Vol 29 (1) ◽  
Author(s):  
Eko Ahmad Riyanto
Keyword(s):  
Social Vulnerability ◽  
Local Community ◽  
Secondary Data ◽  
Survey Method ◽  
Analysis Method ◽  
National Agency ◽  
Economic Vulnerability ◽  
Fire Disaster ◽  
Method Analysis ◽  
Research Show

The aims of this research are (1) analyzing social and economic vulnerability of forest and peat land fire disaster in Bengkalis Regency; (2) Mapping social and economic vulnerability of forest and peat land fire disaster in Bengkalis Regency.  Research Variable is social and economic vulnerability. The data that used is primary and secondary data with survey method. Analysis method is scoring and weightings. After that classified based on the value of the score to determine the level of vulnerability. The analysis based on the head of National Agency for Disaster Management (Perka BNPB) Number 02.2012 and literatures study. The results of research show that social vulnerability of forest and peat land fire in Bengkalis Regency is medium vulnerability because it has value of social vulnerability is 0.46663. While economic vulnerability in Bengkalis Regency is low vulnerability because economic vulnerability is 0.3333. In addition, required mitigation that is quick and appropriate by governments of Bengkalis Regency and the local community in management of forest and peat land fire disaster.

A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017

2021 ◽  
pp. 1-15
Author(s):  
Xiaobing Yu ◽  
Xuejing Wu ◽  
Hong Chen ◽  
Xuming Wang ◽  
Chenliang Li ◽  
...  
Keyword(s):  
Vulnerability Assessment ◽  
Social Vulnerability ◽  
Local Economic Development ◽  
Geographical Location ◽  
Jiangsu Province ◽  
Three Dimensions ◽  
The North ◽  
The Social ◽  
North Part ◽  
Social Vulnerability Assessment

Social vulnerability assessment is of great significance for risk management and reduction. Carrying out the assessment is beneficial to the sustainability of the development of society and the economy. For this purpose, Jiangsu province in China is taken as the study area to explore the social vulnerability assessment at a city level. A framework has been constructed from three dimensions of demographics, economics, and social security. In our study, a new approach based on the maximizing deviation method and TODIM model is proposed to evaluate social vulnerability in Jiangsu province. For the sake of analysis, we divide 13 cities of Jiangsu province into three parts, namely the southern part, central part, and northern part, according to the geographical location. As a result, the north part performance of social vulnerability is the worst among the three regions. The average of the northern part has always obviously exceeded the others of Jiangsu province from 2012 to 2017, which indicates that the north part is the most vulnerable to natural hazards. In addition, the performance of the southern part is relatively better than that of the central region. Especially, Suqian has always been at the bottom from 2012 to 2017, which reveals the ability to withstand natural disasters is the most insufficient. Our findings also imply that social vulnerability is related to local economic development to some extent.

A Study of Engineering Design Project Complexity and Risk Indicators

2013 ◽  
Author(s):  
Rachel L. Yim ◽  
Jason M. Castaneda ◽  
Toni L. Doolen ◽  
Irem Y. Tumer ◽  
Richard J. Malak
Keyword(s):  
Engineering Design ◽  
Risk Mitigation ◽  
Project Managers ◽  
Conclusive Evidence ◽  
Three Dimensions ◽  
Risk Indicators ◽  
Risk Indicator ◽  
Increased Risk ◽  
Management Plans ◽  
State Of Affairs

Engineering design projects can be characterized by three dimensions: duration, budget, and scope. As projects grow in any of these three dimensions, there will be increased opportunity for uncertainty, and subsequently, increased risk. This study explored the relationship between the number of project activities and the presence of risk indicators. A risk indicator is a particular state of affairs that has potential predictive power about the likelihood of a risk occurring during the course of a project. This study was completed by examining eleven projects that were conducted within one division of a large engineering design firm. Projects were divided into groups according to the number of activities associated with each project, and interviews were conducted with employees, who worked in a variety of positions. A comparative analysis of risk indicators was then completed to identify potential “watch” areas and provide a basis for risk mitigation planning. The study provided conclusive evidence that the most frequently occurring risk indicators vary with the number of activities involved in a project. Project managers can use this information to create more specific risk management plans tailored to the types of risk indicators most frequently associated with the number of activities within a project.

scholarly journals Banjir Rob : Potensi Kerentanan Lingkungan serta Penanggulangannya

2016 ◽  
Vol 1 (2) ◽  
pp. 58-66
Author(s):  
Zuardin Zuardin
Keyword(s):  
Social Vulnerability ◽  
Physical Vulnerability ◽  
Economic Vulnerability

Banjir pasang atau yang lebih dikenal dengan istilah rob merupakan banjir yang terjadi karena naiknya air laut dan menggenangi daratan ketika air laut mengalami pasang sehingga menyebabkan kerentanan lingkungan. Namun demikian, untuk kondisi atau tempat tertentu, yaitu di daerah terbangun, banjir pasang ini terjadi menyusul perubahan penggunaan lahan dan penurunan muka tanah karena beban bangunan fisik. Kerentanan lingkungan yang dapat ditimbulkan diantaranya kerentanan fisik (physical vulnerability), kerentanan sosial (social vulnerability), serta kerentanan ekonomi (economic vulnerability). Untuk penanggulangannya dapat dilakukan dengan beberapa pendekatan diantaranya ialah ketahanan struktural, ketahanan sosial, ketahanan ekonomi, mitigasi struktural dan mitigasi non-struktural.

scholarly journals The spatial dimension in the assessment of socio-economic vulnerability challenges for an application on an urban scale, a systematic review

2019 ◽  
Author(s):  
Diana Contreras ◽  
Alondra Chamorro
Keyword(s):  
Social Vulnerability ◽  
Primary Source ◽  
Spatial Dimension ◽  
Social Vulnerability Index ◽  
Specific Level ◽  
Spatial Assessment ◽  
Spatial Variables ◽  
Economic Vulnerability ◽  
The Social

Abstract. The social and economic dimensions are only two of the dimensions of vulnerability. This paper aims to review the various case study areas, hazards, methods, spatial variables/indicators/indexes and tools addressed and used in the spatial assessment of socio-economic vulnerability in the period between 2008 and 2018. This review was conducted in December 2018. For the purposes of this study, Clarivate Analytics was the primary source of information. The gross number of articles reviewed was 235. We found 42 highly relevant articles, 27 articles of medium relevance, 15 of low relevance and 151 of no relevance. However, only 21 articles containing content considered highly relevant were included in the final analysis. The highest numbers of case study areas for the spatial analysis of socio-economic vulnerability are in China, the US, India and Germany. Most of the articles that consider the spatial dimension in the assessment of socio-economic vulnerability are related to floods. The Social Vulnerability Index (SoVI®) remains the benchmark for the assessment of socio-economic vulnerability. In the spatial assessment of socio-economic vulnerability, urban facilities are the most frequent variables, and population density is the most common indicator. The Social Vulnerability (SV) index and Spatial Vulnerability Units (SVU) are benchmarks of what it is a spatial index to evaluate socio-economic vulnerability in the urban context. In summary, we identified 21 spatial variables, 19 spatial indicators and four spatial indexes. Geographic Information Systems (GIS), Remote Sensing (RS), statistical analysis and programming languages are tools used by the scientists for the assessment of socio-economic vulnerability. Nevertheless, after the review, we can conclude that it is not sufficient to only estimate the specific level of vulnerability per unit area; it is also necessary to determine the influence of the spatial component in this degree of socio-economic vulnerability.

scholarly journals Susceptibility versus resilience to mountain hazards in Austria - paradigms of vulnerability revisited

2009 ◽  
Vol 9 (2) ◽  
pp. 337-352 ◽  
Author(s):  
S. Fuchs
Keyword(s):  
Social Vulnerability ◽  
Integrative Approach ◽  
Structural Vulnerability ◽  
Social Origin ◽  
Economic Vulnerability ◽  
Institutional Settings ◽  
Environmental Setting ◽  
Resilient Communities ◽  
Key Issues ◽  
Mountain Hazards

Abstract. The concept of vulnerability is pillared by multiple disciplinary theories underpinning either a technical or a social origin of the concept and resulting in a range of paradigms for either a qualitative or quantitative assessment of vulnerability. However, efforts to reduce susceptibility to hazards and to create disaster-resilient communities require intersections among these theories, since human activity cannot be seen independently from the environmental setting. Acknowledging different roots of disciplinary paradigms, issues determining structural, economic, institutional and social vulnerability are discussed with respect to mountain hazards in Austria. It is argued that structural vulnerability as originator results in considerable economic vulnerability, generated by the institutional settings of dealing with natural hazards and shaped by the overall societal framework. If vulnerability and its counterpart, resilience, is analysed and evaluated by using a comprehensive approach, a better understanding of the vulnerability-influencing parameters could be achieved, taking into account the interdependencies and interactions between the disciplinary foci. Thereby the overall aim of this paper is not to develop another integrative approach for vulnerability assessment, different approaches are rather applied by using a vulnerability-of-place criterion, and key issues of vulnerability are reconsidered aiming at a general illustration of the situation in a densely populated mountain region of Europe.

scholarly journals Analisis Bahaya dan Resiko Bencana Gunungapi Papandayan (Studi Kasus: Kecamatan Cisurupan, Kabupaten Garut)

2012 ◽  
Vol 26 (1) ◽  
pp. 1
Author(s):  
Saut Aritua Hasiholan Sagala ◽  
Hadian Idhar Yasaditama
Keyword(s):  
Risk Assessment ◽  
Social Vulnerability ◽  
Hazard Analysis ◽  
Active Volcano ◽  
Decision Makers ◽  
Disaster Mitigation ◽  
Risk Map ◽  
Economic Vulnerability ◽  
Disaster Event ◽  
Post Disaster

Risk assessment is an important step to be carried out for disaster management. It provides information for decision makers and communities in pre-disaster, during disaster and post disaster event. Nevertheless, risk assessment in Indonesia, especially on active volcanoes is still limited. This paper presents the risk assessment of Mt. Papandayan (2.665 m), the most active volcano in West Java. The unit of analysis in this study follows the administrative boundaries of village so that the identification can be applied at village level using GIS. Hazard analysis refers to the official hazard map produced by PVMBG while the vulnerability analysis is carried out in 3 sub-analysis, physical vulnerability (7 indicators), social vulnerability (7 indicators), and economic vulnerability. The hazard and vulnerability were overlayed in order to produce the risk which is subsequently made into risk map. The findings indicate that the villages located near and on the direction of the crater have relatively higher risk compared to other villages. The risk map can be incorporated as one of references for spatial planning that integrates disaster mitigation.

scholarly journals Differential Effects of Race/Ethnicity and Social Vulnerability on COVID-19 Positivity, Hospitalization, and Death in the San Francisco Bay Area

2022 ◽  
Author(s):  
Wendy K. Tam Cho ◽  
David G. Hwang
Keyword(s):  
Socioeconomic Status ◽  
San Francisco ◽  
Social Vulnerability ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Social Vulnerability Index ◽  
Socioeconomic Vulnerability ◽  
Bay Area ◽  
Hospitalization Rates ◽  
Race Ethnicity

BACKGROUND: Higher COVID-19 incidence and morbidity have been amply documented for US Black and Hispanic populations but not as clearly for other racial and ethnic groups. Efforts to elucidate the mechanisms underlying racial health disparities can be confounded by the relationship between race/ethnicity and socioeconomic status. OBJECTIVE: Examine race/ethnicity and social vulnerability effects on COVID-19 outcomes in the San Francisco Bay Area, an ethnically and socioeconomically diverse region. DESIGN: Retrospective cohort study. SETTING: Geocoded patient records from the University of California, San Francisco Health system between January 1, 2020 to December 31, 2020. PATIENTS: Patients who underwent polymerase chain reaction testing for COVID-19. EXPOSURES: Race/ethnicity and Social Vulnerability Index (SVI). MAIN MEASURES: COVID-19 test frequency, positivity, hospitalization rates, and mortality. KEY RESULTS: Higher social vulnerability, but not race/ethnicity, was associated with less frequent testing yet a higher likelihood of testing positive. Asian hospitalization rates (11.5\%) were double that of White patients (5.4\%) and exceeded the rates for Black (9.3\%) and Hispanic (6.9\%) groups. A modest relationship between higher hospitalization rates and increasing social vulnerability was evident only for White individuals. The Hispanic group had the lowest mean age at death and thus highest years of expected life lost due to COVID-19. CONCLUSIONS: COVID-19 outcomes were not consistently explained by greater socioeconomic vulnerability. Asian individuals showed disproportionately high rates of hospitalization regardless of socioeconomic status. Study of the San Francisco Bay Area population not only provides valuable insights into the differential contributions of race/ethnicity and social determinants of health to COVID-19 outcomes but also emphasizes that all racial groups have experienced the toll of the pandemic, albeit in different ways and to varying degrees.

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