Community vulnerability to coastal hazards: Developing a typology for disaster risk reduction. (February 2018)

• Record Type: Journal Article
• Authors: Chang, Stephanie E.; Yip, Jackie Z.K.; Conger, Tugce; Oulahen, Greg; Marteleira, Michelle
• Is Part Of: Applied geography. Volume 91(2018)
• Page Start: 81
• Page End: 88
• Publication Date: 2018-02
• Subjects: Coastal -- Community -- Natural hazard -- Vulnerability -- Cluster analysis -- Similarity; Geography -- Periodicals; Human geography -- Periodicals; Human ecology -- Periodicals; 910
• DOI: 10.1016/j.apgeog.2017.12.017
• Languages: English
• ISSNs: 0143-6228

Abstract

Abstract: Coastal communities around the world face challenges in planning for coastal flooding and sea-level rise related to climate change. This paper develops an approach for identifying typologies of communities on the basis of their hazard vulnerability characteristics. The approach first characterizes communities with a suite of vulnerability indicators, selected to meet criteria of breadth, relevance, and data requirements. Cluster analysis is then applied to the indicator profiles to identify groups of similar communities. The statistical centrotype of each group represents the corresponding community type. A new community from outside the original set can then be matched to the typology using a Hazard Vulnerability Similarity Index (HVSI). The approach is demonstrated with a case study of 50 communities on Canada's Pacific coast. Results yielded 10 community types, of which four were predominant. The types range from highly urbanized, wealthier, diverse central cities to remote, resource-dependent towns with semi-developed, flat coastlines. Three selected communities from a distant region, in Atlantic Canada, were then successfully matched to the most similar of these 10 types. Identifying groups of communities that share vulnerability profiles can facilitate sharing knowledge, lessons, and resources that are most relevant to local efforts to reduce natural hazard risk. This support may be especially valuable for connecting communities that are unfamiliar with one another, yet similarly vulnerable. Highlights: Cluster analysis is applied to identify types of vulnerable coastal communities. Communities in Pacific Canada were grouped into 10 types, with four predominant. Types reflect different combinations of exposure and sensitivity attributes. Communities in Atlantic Canada were matched to the typology using the HVSI index. The approach facilitates knowledge sharing among similarly vulnerable communities.