Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A building classification scheme of housing stock in Malawi for earthquake risk assessment

Kloukinas, Panos, Novelli, Viviana ORCID: https://orcid.org/0000-0003-3809-7170, Kafodya, Innocent, Ngoma, Ignasio, Macdonald, John and Goda, Katsuichiro 2019. A building classification scheme of housing stock in Malawi for earthquake risk assessment. Journal of Housing and the Built Environment , -. 10.1007/s10901-019-09697-5

[thumbnail of s10901-019-09697-5.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (4MB)

Abstract

This study presents a building classification scheme for residential houses in Malawi by focusing upon informal construction, which accounts for more than 90% of housing in the country with the highest urbanisation rate in the world. The proposed classification is compatible with the Prompt Assessment of Global Earthquakes for Response (PAGER) method and can be used for seismic vulnerability assessments of building stock in Malawi. To obtain realistic proportions of the building classes that are prevalent in Malawi, a building survey was conducted in Central and Southern Malawi between 10th and 20th July 2017. The results from the survey are used to modify the PAGER-based proportions of main housing typologies by reflecting actual housing construction in the surveyed areas. The results clearly highlight the importance of using realistic building stock data for seismic risk assessment in Malawi; relying on global building stock information can result in significant bias of earthquake impact assessment.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Springer Verlag (Germany)
ISSN: 1566-4910
Date of First Compliant Deposit: 28 February 2020
Date of Acceptance: 17 July 2019
Last Modified: 05 May 2023 11:26
URI: https://orca.cardiff.ac.uk/id/eprint/130035

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics