Scheele, F.R.; Syed, Y.; Hayes, J.L.; Paulik, R.; Inglis, S. 2023 Building inventory and vulnerability functions for risk modelling in New Zealand. Lower Hutt, N.Z.: GNS Science. GNS Science report 2023/08. 42 p.; doi: 10.21420/G34N-V958
Abstract:
Risk modelling for natural hazards requires accurate data on the assets of interest and appropriate vulnerability functions for impact and loss assessment. This study involves the development of a national building inventory for New Zealand and a summary of available vulnerability functions for various natural hazard types (flood, volcano, tsunami, earthquake). The national building inventory was developed using three main data sources, including a property dataset containing building attributes from CoreLogic (represented as points), Land Information New Zealand (LINZ) building outlines and LINZ primary parcels. Relevant attributes for risk modelling (e.g. construction type, number of storeys, use category, replacement cost) were assigned based on logical processes applied to the CoreLogic property data. Building points with attributes were then assigned to building outlines by logic that considers the relationships between points and outlines within property parcels. Throughout the report, recommendations are provided for future improvements. Overall, the building attribute assignment is sufficient for risk modelling, although many aspects could be improved or updated. The ‘Points to outlines’ process allows for building inventory output attached to outlines for the first time at a national scale. The summary of vulnerability functions shows a variety of available functions for impact and loss modelling for different natural hazard types. Many functions currently in use were developed based on data from overseas events or New Zealand events with limited data sources. Recommendations are provided for improvement of vulnerability functions using local data from recent natural hazard events (auths)
