Social vulnerability to natural hazards in Indonesia: driving factors and policy implications

Siagian, Tiodora Hadumaon; Purhadi, Purhadi; Suhartono, Suhartono; Ritonga, Hamonangan

doi:10.1007/s11069-013-0888-3

Cited by 202 publications

(131 citation statements)

References 13 publications

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“…Even though there are debates about the viability of measuring social vulnerability (Birkmann 2013), the social vulnerability index (SoVI Ò ) has gained general acceptance as one of the leading tools for quantifying social vulnerability (Cutter and Morath 2013) due to its fairly robust nature and replication ability, although there is uncertainty especially among areas identified as highly vulnerable (Tate 2013). SoVI Ò has successfully been applied in many contexts and in many different places (De Oliveira Mendes 2009;Emrich and Cutter 2011;Holand et al 2011;Chen et al 2013;Guillard-Gonçalves et al 2014;Siagan et al 2014). While social vulnerability has recently gained considerable attention in academic studies, many societies still lack awareness of how social differences within their population play a role in disaster impacts.…”

Section: Introductionmentioning

confidence: 99%

Social Vulnerability to Natural Hazards in Brazil

Hummell

Cutter

Emrich

2016

Int J Disaster Risk Sci

216

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Although social vulnerability has recently gained attention in academic studies, Brazil lacks frameworks and indicators to assess it for the entire country. Social vulnerability highlights differences in the human capacity to prepare for, respond to, and recover from disasters. It varies over space and time, and among and between social groups, largely due to differences in socioeconomic and demographic characteristics. This article provides a social vulnerability index (SoVI Ò ) replication study for Brazil and shows how SoVI Ò concepts and indicators were adapted to the country. SoVI Ò Brazil follows the place-based framework adopted in the Social Vulnerability Index initially developed for the United States. Using a principal component analysis (PCA), 45 city-level indicators were reduced to 10 factors that explain about 67 % of the variance in the data. Clearly identified spatial patterns showed a concentration of the most socially vulnerable cities in the North and Northeast regions of Brazil, as well as the social vulnerability of metropolitan areas and state capitals in the South and Southeast regions. The least vulnerable cities are mainly concentrated in the inland regions of the Southeast. Although different factors contribute to the social vulnerability in each city, the overall results confirm the social and economic disparities among Brazilian's regions and reflect a differential vulnerability to natural hazards at local to regional scales.

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Section: Introductionmentioning

confidence: 99%

Social Vulnerability to Natural Hazards in Brazil

Hummell

Cutter

Emrich

2016

Int J Disaster Risk Sci

216

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“…This is in line with the views of Sion et al that the enormous challenges facing the government in the distribution of education (Sion et al, 2012). Indonesia is an archipelago country with a varied geographical conditions (Siagian et al, 2014), so the implications for the development of educational achievement is variation (Candiasa et al, 2013). The islands tend to have gaps compared to the surrounding areas near civilization thinking about the economy and ease of access.…”

Section: Introductionmentioning

confidence: 99%

Teacher Resilience in Remote Islands Area: A Case Study in Small Pagerungan Island Sumenep Regency, Indonesia

et al. 2017

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This study aims to describe resilience teacher at Elementary school III at Small Pagerungan Island. Aspects of resilience in this study are phase of resilience refers to Patterson & Kelleher (2005) and the strategy of resilience refers to Diah & Pradna (2012). This type of research is descriptive qualitative with case study approach. The subjects were 5 teachers (Subject I: government employee (PNS) teachers senior and immigrant from Java, Subject II: government employee (PNS) teachers senior natives, subject III: temporary teacher who has taught more than 10 years, Subject IV: new civil servant teachers a few years removed, and subject V: new no permanent teachers who teach less than 5 years). Data collected through in-depth interviews with each subject of study. Analysis of data using thematic analysis approach hybrid refers to Fereday & Muir-Cochrane version. The results showed that the phase of resilience to be taken by each teacher is different. Subjects I and II has reached growing phase. Subject IV and V are still at the stage of deteriorating phase, while the subject III only at adapting phase. Subjects I and II have an optimistic view and gave rise to 7 points strategy of resilience, which is a positive attitude to face difficulties, focusing on the core value, versatile in the running for the purpose, willing to take concrete steps to face difficulties, create conditions of self and supportive environment, maintain hope and expectation is high, and develop an attitude of participation and responsibility. Subject IV and V are relatively optimistic, but because the teaching experience is still limited cause-point strategy of resilience that appears only reached 4, which is flexible in an effort to achieve goals, create conditions of self and supportive environment, maintain hope and expectation is high, and develop an attitude of participation and responsibility. Subject III is more pessimistic and pragmatic look at the future of the profession so that a strategy of resilience that comes only three, namely flexible in an effort to achieve the goal, to create the conditions themselves and a supportive environment, and develop an attitude of participation and responsibility. Point's resilience strategy that appears, consciously or not by the fifth subject, has been assisting survive to teach at Elementary school III Small Pagerungan Island belonging to the category of remote schools, schools with limited resources, and minimal attention from government.

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“…In order to effectively reduce the adverse effects of a flood disaster, it is necessary to enhance the understanding of the social vulnerability of flood-hazard-prone areas (Cutter et al, 2003Zhang and You, 2014). Since Cutter developed a social vulnerability index to measure the social vulnerability to environmental hazards (Cutter et al, 2003), there has been growing concern and interest in this area (Bjarnadottir et al, 2011;Noriega and Ludwig, 2012;Zebardast, 2013;Siagian et al, 2014;Garbutt et al, 2015). For example, Noriega and Ludwig (2012) assessed the social vulnerability to local earthquake risk in Los Angeles County, California, United States, and they found that "knowledge of the relationship between earthquake hazard and the demographic characteristics of people in the area at risk is essential to mitigate the local impact from earthquakes".…”

Section: Introductionmentioning

confidence: 99%

Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China

Liu

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Evaluating social vulnerability is a crucial issue in risk and disaster management. In this study, a household social vulnerability index (HSVI) to flood hazards was developed and used to assess the social vulnerability of rural households in western mountainous regions of Henan province, China. Eight key indicators were identified using existing literature and discussions with experts from multiple disciplines and local farmers, and their weights were determined using principle component analysis (PCA) and an expert scoring method. The results showed that (1) the ratio of perennial work in other places, hazard-related training and illiteracy ratio (15+) were the most dominant factors of social vulnerability. (2) The numbers of high, moderate and low vulnerability households were 14, 64 and 16, respectively, which accounted for 14.9, 68.1 and 17.0 % of the total interviewed rural households, respectively. (3) The correlation coefficient between household social vulnerability scores and casualties in a storm flood in July 2010 was significant at 0.05 significance level (r = 0.748), which indicated that the selected indicators and their weights were valid. (4) Some mitigation strategies to reduce household social vulnerability to flood hazards were proposed, which included (1) improving the local residents' income and their disaster-related knowledge and evacuation skills, (2) developing emergency plans and carrying out emergency drills and training, (3) enhancing the accuracy of disaster monitoring and warning systems and (4) establishing a specific emergency management department and comprehensive rescue systems. These results can provide useful information for rural households and local governments to prepare, mitigate and respond to flood hazards, and the corresponding strategies can help local households to reduce their social vulnerability and improve their ability to resist flood hazard.

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Social vulnerability to natural hazards in Indonesia: driving factors and policy implications

Cited by 202 publications

References 13 publications

Social Vulnerability to Natural Hazards in Brazil

Social Vulnerability to Natural Hazards in Brazil

Teacher Resilience in Remote Islands Area: A Case Study in Small Pagerungan Island Sumenep Regency, Indonesia

Social vulnerability of rural households to flood hazards in western mountainous regions of Henan province, China

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