015: Drivers of flood-induced relocation among coastal urban residents: Insight from the US east coast

Many coastal urban areas are experiencing impacts of accelerated chronic and episodic flooding on the built environment and people's livelihoods and quality of life. These impacts sometimes exceed the households' adaptive and coping capacities to deal with flooding, prompting residents to consider relocation. It is unclear how urban dwellers living in flood-prone locations perceive this adaptation strategy and under what flood-driven circumstances they would consider permanently moving. This paper provides empirical evidence on relocation preferences among urban residents along the U.S. East Coast. It further explores how this decision is influenced by socioeconomic determinants, experiences with flood exposure, comprehensive concerns with flooding, and preferences for relocation destinations. We administered an online survey to 1450 residents living in flood-prone urban areas across multiple states, from New York to Florida, and analyzed the results using descriptive and inferential statistics. Data visualization techniques were employed to explore the impact of different covariates. Correlation analysis was used in conjunction with variable selection techniques to conduct dimension reduction. We fit a multinomial logistic regression model to understand the effect of significant predictor variables on an individual's willingness to relocate. Results show that almost half of respondents would consider relocating due to coastal flooding, with only 13 percent declining this option. The results show that age and race, several determinants of place attachment, problem-solving capacity, and flood-related household- and community-level concerns play a significant role in willingness to relocate.

survey data; variable selection; multinomial logistic regression

climate change; place attachment; population movement

sense of community; natural disaster; hazard exposure 

Implementation and Analysis

Conference on Statistical Practice (CSP) 2023