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Brief communication: Weak correlation between building damage and loss of life from landslides

Lookup NU author(s): Dr Mark KinceyORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 Maximillian Van Wyk de Vries et al. Mapping exposure to landslides is necessary to mitigate risk and increase resilience. Exposure maps can be constructed from building databases, akin to seismic risk assessments, but there has been little investigation of the predictive relationship between building damage from landslides and risk to human life. Our study investigates this relationship globally and in Nepal (47 213 and 5664 landslides, respectively). While a correlation exists for nationwide totals (R2 Combining double low line 0.75), it is negligible for individual events (R2 Combining double low line 0.025). It is important to not construct landslide exposure maps from building datasets alone, else building damage may be inadvertently prioritised over human lives in disaster planning.


Publication metadata

Author(s): Van Wyk De Vries M, Dunant A, Johnson AL, Harvey EL, Li S, Arrell K, Baniya J, Basnet D, Basyal GK, Bhotia ND, Dadson SJ, Densmore AL, Dong TB, Kincey ME, Oven K, Puri A, Rosser NJ

Publication type: Article

Publication status: Published

Journal: Natural Hazards and Earth System Sciences

Year: 2025

Volume: 25

Issue: 6

Pages: 1937-1942

Online publication date: 11/06/2025

Acceptance date: 12/03/2025

Date deposited: 25/06/2025

ISSN (print): 1561-8633

ISSN (electronic): 1684-9981

Publisher: Copernicus Publications

URL: https://doi.org/10.5194/nhess-25-1937-2025

DOI: 10.5194/nhess-25-1937-2025

Data Access Statement: Both datasets used in this analysis, DesInventar and BiPAD, are available online from UNDRR (https://www.desinventar.net/DesInventar/, UNDRR, 2025) and the government of Nepal (https://bipadportal.gov.np/, Government of Nepal, 2025). The unique names and namecode definitions are available in our Supplement.


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Funding

Funder referenceFunder name
UKRI Global Challenges Research Fund (NE/T01038X/1)

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