Community vulnerability to coastal hazards: Developing a typology for disaster risk reduction

Chang, Stephanie E.; Yip, Jackie Z.K.; Conger, Tugce; Oulahen, Greg; Marteleira, Michelle

doi:10.1016/j.apgeog.2017.12.017

Cited by 49 publications

(29 citation statements)

References 36 publications

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“…Bringing together elements of resilience and economic information can better inform disaster risk management and foster community organization (Faulkner et al, 2018). Typologies, like the one here using CRSI and LQ, for characterizing ENOW coastal counties in a region of the United States could assist government in developing guidance (for risk, vulnerability, or recovery) that are more applicable to specific local contexts (Chang et al, 2018). Similarly, these groupings can facilitate the development of peer localities networks (in this case coastal counties in the Gulf of Mexico region) for advocacy and knowledge exchange.…”

Section: Discussionmentioning

confidence: 99%

Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions

Smith

Harwell

Summers

et al. 2019

Front. Environ. Sci.

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Section: Discussionmentioning

confidence: 99%

Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions

Smith

Harwell

Summers

et al. 2019

Front. Environ. Sci.

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“…In the current absence of a validated disaster resilience measurement, this paper develops a typology of flood resilience and links it with community socioeconomic characteristics. Similar methods for indicatorbased measurements have been conducted to identify socioecological pattern for farmers in dryland (Kok et al 2016), vulnerable coastal communities (Chang et al 2018;Lam et al 2016), and Engle and Lemos (2010) identified links between governance indicators and adaptive capacity. Such approaches can share knowledge, resources, and successful practices that are relevant to a particular community's circumstances (Chang et al 2018).…”

Section: Disaster Resilience Measurementmentioning

confidence: 99%

A typology of community flood resilience

et al. 2020

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Flood risk is increasing worldwide and there is a growing need to better understand the co-benefits of investments in disaster resilience. Utilizing a multinational community flood resilience dataset, this paper takes a systems approach to understanding community-level flood resilience. Using a cluster analysis and bivariate correlation methods, we develop a typology of community flood resilience capacity based on community characteristics and five capitals (human, financial, natural, physical, and social). Our results reinforce the importance of context-specific policymaking and give recommendations of four distinct clusters to investigate the relationship between flood resilience and prevailing development conditions. We especially find that communities with higher interactions between their capital capacities tend to have higher flood resilience levels. Additionally, there are indications that stronger interactions between community capacities can help to induce multiple co-benefits when investing in disaster resilience. Our results also have important policy implications on the individual community level. For example, based on our results, we suggest that communities with lower flood resilience capacities and interactions can best build resilience on leveraging their relatively higher human capital capacities to strengthen the financial and social capitals. Negative effects might happen for urban communities when co-benefits of natural and physical capital are not fully integrated. The highest flood resilience capacity is found in communities with a well-balanced household income distribution which is likely a contributing factor to the importance of financial capital for this cluster. Our results emphasize the importance of an integrative approach to management when implementing systematic flood disaster resilience metrics and development measures.

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“…Setiyono (1996) states that erosion is the process of coastal material removal by the destructive force of sea waves and currents. Similar phenomena are also explained by Mahapatra (2015), Fitton et al (2016), Merlotto et al (2016), Ghosh (2017), Yankson et al (2017), Bevacqua et al (2018), Chang et al (2018), and Onat et al (2018). Breaking waves are also able to transport or move loose materials on the shoreline into the sea, generating an abrasion process (Sutikno 1999, Wesli et al 2013, Widianto, Damen 2014.…”

Section: Introductionmentioning

confidence: 83%

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

Choirunnisa

Giyarsih

2018

Quaestiones Geographicae

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This research was conducted in Srigading and Gadingsari Villages, Samas District, Bantul Regency, the Special Region of Yogyakarta. Both of these villages were selected as the study area because of their high vulnerability to coastal erosion. This research aimed to analyse the physical, social, and economic vulnerability and the capacity of communities in both villages to deal with erosion in Samas Coast using primary and secondary database. According to the results of the physical and socioeconomic scenarios, Srigading has a high vulnerability level, whereas Gadingsari has a low vulnerability level. Meanwhile, the equal scenario results in the same spatial distribution of vulnerability as the aforementioned scenarios. This research also finds that the capacity, which was based on knowledge of coastal erosion and its risk reduction measures, is categorized as medium. This capacity level is shaped by the constantly improved preparedness as communities experience coastal erosions directly.

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Community vulnerability to coastal hazards: Developing a typology for disaster risk reduction

Cited by 49 publications

References 36 publications

Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions

Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions

A typology of community flood resilience

The Socioeconomic Vulnerability of Coastal Communities to Abrasion In Samas, Bantul Regency, Indonesia

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