scholarly journals Place- and Age-Responsive Disaster Risk Reduction for Hong Kong: Collaborative Place Audit and Social Vulnerability Index for Elders

2017 ◽  
Vol 8 (2) ◽  
pp. 121-133 ◽  
Author(s):  
Yi Sun ◽  
Pui Hing Chau ◽  
Moses Wong ◽  
Jean Woo
Keyword(s):  
Hong Kong ◽  
Risk Reduction ◽  
Social Vulnerability ◽  
Disaster Risk Reduction ◽  
Vulnerability Index ◽  
Disaster Risk ◽  
Social Vulnerability Index

Disaster risk reduction by measuring social vulnerability around the Merapi Volcano

2020 ◽  
Author(s):  
Yohana Noradika Maharani ◽  
Arif Rianto Budi Nugroho ◽  
Dzikrina Farah Adiba ◽  
Iin Sulistiyowati
Keyword(s):  
Risk Reduction ◽  
Social Vulnerability ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Merapi Volcano

scholarly journals Social Vulnerability Index for the Older People—Hong Kong and New York City as Examples

2014 ◽  
Vol 91 (6) ◽  
pp. 1048-1064 ◽  
Author(s):  
Pui Hing Chau ◽  
Michael K. Gusmano ◽  
Joanna O. Y. Cheng ◽  
Sai Hei Cheung ◽  
Jean Woo
Keyword(s):  
New York ◽  
New York City ◽  
Hong Kong ◽  
Older People ◽  
York City ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Social Vulnerability Index

scholarly journals Cross-Border Urban Change Detection and Growth Assessment for Mexican-USA Twin Cities

2021 ◽  
Vol 13 (21) ◽  
pp. 4422
Author(s):  
Alexander Fekete ◽  
Peter Priesmeier
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Risk Reduction ◽  
Urban Growth ◽  
Social Vulnerability ◽  
Disaster Risk Reduction ◽  
Open Data ◽  
Disaster Risk ◽  
Hazard Mapping ◽  
Risk Monitoring

Remote sensing applications of change detection are increasingly in demand for many areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for Disaster Risk Reduction and the New Urban Agenda by the United Nations call for risk monitoring. This study maps and assesses the urban area changes of 23 Mexican-USA border cities with a remote sensing-based approach. A literature study on existing studies on hazard mapping and social vulnerability in those cities reveals a need for further studies on urban growth. Using a multi-modal combination of aerial, declassified (CORONA, GAMBIT, HEXAGON programs), and recent (Sentinel-2) satellite imagery, this study expands existing land cover change assessments by capturing urban growth back to the 1940s. A Geographic Information System and census data assessment results reveal that massive urban growth has occurred on both sides of the national border. On the Mexican side, population and area growth exceeds the US cities in many cases. In addition, flood hazard exposure has grown along with growing city sizes, despite structural river training. These findings indicate a need for more risk monitoring that includes remote sensing data. It has socio-economic implications, too, as the social vulnerability on Mexican and US sides differ. This study calls for the maintenance and expansion of open data repositories to enable such transboundary risk comparisons. Common vulnerability variable sets could be helpful to enable better comparisons as well as comparable flood zonation mapping techniques. To enable risk monitoring, basic data such as urban boundaries should be mapped per decade and provided on open data platforms in GIS formats and not just in map viewers.

scholarly journals An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

2019 ◽  
Author(s):  
Mark Bawa Malgwi ◽  
Sven Fuchs ◽  
Margreth Keiler
Keyword(s):  
Conceptual Framework ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Resistance Index ◽  
Vulnerability Index ◽  
Disaster Risk ◽  
Assessment Model ◽  
Indicator Method ◽  
Vulnerability Indicators ◽  
Damage Grades

Abstract. Although the vulnerability indicator method has been applied to several data-scarce regions, a missing linkage with damage grades had hindered its application for loss evaluation to complement disaster risk reduction efforts. To address this gap, we present a review of physical vulnerability indicators and flood damage models to gain insights on best practice. Thereafter, we present a conceptual framework for linking the vulnerability indicators and damage grades using three phases (i) developing a vulnerability index, (ii) identifying regional damage grades, and (iii) linking vulnerability index classes with damage grades. The vulnerability index comprehensively integrates elements of the hazard using a Building Impact Index (BII) on one hand, and exposure, susceptibility and local protection elements using a Building Resistance Index (BRI) on the other hand. For the damage grades, local expert assessments are used for identifying and categorizing frequently observed regional damage patterns. Finally, by means of synthetic what-if analysis, experts are asked to estimate damage grades for each interval of the BII and class of BRI to develop a vulnerability curve. The proposed conceptual framework can be used for damage prediction in data-scarce regions to support loss assessment and to provide guidance for disaster risk reduction.

scholarly journals QUANTITATIVE ASSESSMENT OF SOCIAL VULNERABILITY FOR LANDSLIDE DISASTER RISK REDUCTION USING GIS APPROACH (CASE STUDY: CILACAP REGENCY, PROVINCE OF CENTRAL JAVA, INDONESIA)

2018 ◽  
Vol XLII-4 ◽  
pp. 703-709
Author(s):  
A. P. Wijaya ◽  
J.-H. Hong
Keyword(s):  
Social Vulnerability ◽  
Vulnerability Index ◽  
Spatial Diversity ◽  
Disaster Risk ◽  
Social Vulnerability Index ◽  
Internal Factors ◽  
Central Java ◽  
National Disaster ◽  
Quantitative Assessments

<p><strong>Abstract.</strong> Social vulnerability is an important aspect in determining the level of disaster risk in a region. Social vulnerability index (SoVI) is influenced by several supporting factors, such as age, gender, health, education, etc. When different sets of parameters are considered, the SoVI analyzed results are likely to be also different from one to another. In this paper, we will discuss the quantitative assessments of SoVI based on two different models. The first model, proposed by Frigerio et al. (2016), is used to analyze the spatial diversity of social vulnerability due to seismic hazards in Italy. The second model is based on the regulations of the head of the National Disaster Management Agency (BNPB) No. 2 of 2012. GIS is used to present and compare the results of the two selected models. In additive impact factor on the SoVI is also done. The result is that there are regions that belong to the same class on both models such as Pemalang, there are regions that enter in different classes on both models such as Cilacap. The result also shows the model of Frigerio et al. (2016) is more representative than the BNPB model (2012) by additionally considering the education and unemployment factors in determining the SoVI, while the BNPB model (2012) only includes internal factors such as age, gender. By considering education and unemployment factors, we get more detailed conditions about society from social vulnerability.</p>

scholarly journals Social resilience: the forgotten dimension of disaster risk reduction

2006 ◽  
Vol 1 (1) ◽  
Author(s):  
Guy Sapirstein
Keyword(s):  
United Nations ◽  
International Development ◽  
Risk Reduction ◽  
Social Vulnerability ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Social Resilience ◽  
Individual Vulnerability ◽  
Individual Resilience ◽  
Current Thinking

The current thinking in the Disaster Risk Reduction field emphasizes assessment and reduction of vulnerability and especially social vulnerability as an important factor in mitigating the effects of disasters. In the process of emphasizing vulnerability, the role and complexity of social resilience was somewhat lost and at times minimized. For example, Terry Cannon and his colleagues include resilience as a factor of social vulnerability in a report to United Kingdom Department for International Development (DFID) (Cannon, Twigg and Rowell, 2002). The United Nations University, Institute for Environment and Human Security (UNU-EHS) delineates “Social Vulnerability” and “Individual Vulnerability” as working areas, but does not mention Social or Individual Resilience (Bogardi, 2006).

scholarly journals Assessing social vulnerability to drought in South Africa: Policy implication for drought risk reduction

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Fumiso Muyambo ◽  
Andries J. Jordaan ◽  
Yonas T. Bahta
Keyword(s):  
South Africa ◽  
Risk Reduction ◽  
Cultural Values ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Drought Risk ◽  
Eastern Cape ◽  
Social Vulnerability Index ◽  
Vulnerability Indicators ◽  
Social Dependence

The aim of this article was to assess and identify social vulnerability of communal farmers to drought in the O.R. Tambo district in the Eastern Cape province of South Africa using a survey data and social vulnerability index (SoVI). Eleven social vulnerability indicators were identified using Bogardi, Birkman and Cardona conceptual framework. The result found that an SoVI estimated for O.R. Tambo district was very high with a Likert scale of 5 for cultural values and practices, security or safety, social networks, social dependence, preparedness strategies and psychological stress attributed for the high value of social vulnerability to drought. Indigenous knowledge and education had an SoVI value of 2, which was of low vulnerability, contributing positively to resilience to drought. The study also found that government involvement in drought risk reduction is limited; as a result, the study recommends that a national, provincial and district municipalities policy on drought risk reduction and mitigation should be developed.

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