Flood Performance and Dislocation Assessment for Lumberton Homes after Hurricane Matthew

Published: May 26, 2019


Derya Deniz, Elaina Sutley, John W. van de Lindt, Walter G. Peacock, Nathanael Rosenheim, Donghwan Gu, Judith Mitrani-Reiser, Maria K. Dillard, Maria Koliou, Sara Hamideh


In order to better understand community resilience following a disaster, a multi-disciplinary research team from the Center of Excellence (CoE) for Risk-Based Community Resilience Planning and the National Institute of Standards and Technology (NIST) jointly conducted a series of longitudinal field studies in the U.S. city of Lumberton, North Carolina following major flooding from Hurricane Matthew (2016). Damage surveys on structures and interviews with households were conducted during the first field study to explore physical, economic, and social impacts of major riverine flooding on this small, tri-racial community. This paper is focused on damage to housing and subsequent household dislocation. Empirical damage fragilities were developed for residential buildings using a comprehensive set of engineering damage inspection data collected by the team. Multi-variate models were developed to assess the consequences of physical damage to housing units for household dislocation, including of the socio- demographic factors. This study is one of the primary studies that show interconnectivity across the direct physical and social impacts of flooding on a residential community. The outcomes from this study can be used as predictive tools to assess flood damage and dislocation patterns for other U.S. communities as a function of construction, social, and economic makeup.
Proceedings Title: Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13)
Conference Dates: May 26-30, 2019
Conference Location: Seoul, -1
Conference Title: 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13)
Pub Type: Conferences


vulnerable populations, research design, longitudinal study design
Created May 26, 2019, Updated August 20, 2019