TY  - JOUR
PY  - 2020//
TI  - Modelling residential habitability and human displacement for tsunami scenarios in Christchurch, New Zealand
JO  - International journal of disaster risk reduction
A1  - Scheele, Finn
A1  - Wilson, Thomas
A1  - Lane, Emily M.
A1  - Crowley, Kate
A1  - Hughes, Matthew W.
A1  - Davies, Tim
A1  - Horspool, Nick
A1  - Williams, James H.
A1  - Le, Lina
A1  - Uma, S. R.
A1  - Lukovic, Biljana
A1  - Schoenfeld, Marion
A1  - Thompson, James
SP  - e101403
EP  - e101403
VL  - 43
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2212-4209
UR  - http://dx.doi.org/10.1016/j.ijdrr.2019.101403
ID  - ref1
ER  -