Modelling residential habitability and human displacement for tsunami scenarios in Christchurch, New Zealand. (February 2020)

• Record Type: Journal Article
• Authors: Scheele, Finn; Wilson, Thomas; Lane, Emily M.; Crowley, Kate; Hughes, Matthew W.; Davies, Tim; Horspool, Nick; Williams, James H.; Le, Lina; Uma, S.R.; Lukovic, Biljana; Schoenfeld, Marion; Thompson, James
• Is Part Of: International journal of disaster risk reduction. Volume 43(2020)
• Publication Date: 2020-02
• Subjects: Sheltering -- Liveability -- Natural hazard -- Impact -- Risk -- Disaster; Emergency management -- Periodicals; Risk management -- Periodicals; Disaster relief -- Periodicals; Hazard mitigation -- Periodicals; 363.34
• DOI: 10.1016/j.ijdrr.2019.101403
• Languages: English
• ISSNs: 2212-4209

Abstract

Abstract: Understanding the potential impacts of a large tsunami on a coastal region enables better planning of disaster management strategies. Potential housing damage, habitability, human displacement and sheltering needs are key concerns for emergency managers following tsunami events. This article presents a novel approach to address these requirements. We first review available literature on factors influencing residential habitability, human displacement and sheltering needs following disasters. Existing models are reviewed to identify lessons, gaps and opportunities that can inform the development of a new model. We then present a new model for estimating habitability, displacement and sheltering needs for tsunami (HDS-T). The model uses an additive scoring system incorporating both physical and demographic factors, weighted according to their relative influence. We demonstrate application of HDS-T through the case study of three tsunami scenarios affecting the coastal city of Christchurch, New Zealand. The results are time-varying, reflecting the response and early recovery phase of the tsunami events. For the largest scenario, 14, 695 residents are displaced on the first day, with 1795 displaced residents requiring sheltering assistance. The number of displaced residents reduces to 9014 on Day 4, 7131 on Day 7, and 4366 at the time point of one month. HDS-T is designed to be adaptable to other natural hazards and contexts, such as earthquakes.