Global fatal landslide occurrence from 2004 to 2016
Open accessPublished version of a preprint
Abstract
Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human fatalities in urban settlements, along transport corridors and at sites of rural industry. Assessment of landslide risk requires high-quality landslide databases. Recently, global landslide databases have shown the extent to which landslides impact on society and identified areas most at risk. Previous global analysis has focused on rainfall-triggered landslides over short ∼ 5-year observation periods. This paper presents spatiotemporal analysis of a global dataset of fatal non-seismic landslides, covering the period from January 2004 to December 2016. The data show that in total 55 997 people were killed in 4862 distinct landslide events. The spatial distribution of landslides is heterogeneous, with Asia representing the dominant geographical area. There are high levels of interannual variation in the occurrence of landslides. Although more active years coincide with recognised patterns of regional rainfall driven by climate anomalies, climate modes (such as El Niño–Southern Oscillation) cannot yet be related to landsliding, requiring a landslide dataset of 30+ years. Our analysis demonstrates that landslide occurrence triggered by human activity is increasing, in particular in relation to construction, illegal mining and hill cutting. This supports notions that human disturbance may be more detrimental to future landslide incidence than climate.
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According to Froude and Petley (2018) dataset, Freetown is a mountainous, hazard-prone area where at least six landslides occurred between 2014 and 2016.
“According to this dataset, Freetown is a mountainous, hazard -prone area where at least six landslides have occurred between 2014 and 2016 (ESRI ArcGIS online 2018).”
From The cost of rapid and haphazard urbanization: lessons learned from the Freetown landslide disaster (2019) · cites this paper as Froude and Petley (2018)
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Climate Change 2022 – Impacts, Adaptation and Vulnerability
(IPCC), I. P. O. C. C. (2023) · doi:10.1017/9781009325844 · Cited by 8,473 · see citing works
The cost of rapid and haphazard urbanization: lessons learned from the Freetown landslide disaster
Cui, Y., Cheng, D., Choi, C. E., Jin, W., Lei, Y., & Kargel, J. S. (2019) · Landslides · doi:10.1007/s10346-019-01167-x · Cited by 175 · see citing works
“Froude and Petley (2018) have constructed a global dataset of fatal non-seismic landslides, covering the period from January 2004 to December 2016.”
Background
- Authors
- Froude, M. J., & Petley, D. N.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Froude, Melanie J.
- Petley, David N.
- Venue
- Natural Hazards and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2018-08-23
- Volume
- 18
- Issue
- 8
- Pages
- 2161-2181
- ISSN
- 1561-8633 (ISSN-L)
- 1684-9981
- OpenAlex
- W2792546905
- Cited by
- 2,339
- References
- 0
- Citations by year
- 2026: 400 · 2025: 395 · 2024: 374 · 2023: 304 · 2022: 318 · 2021: 276 · 2020: 158 · 2019: 103 · 2018: 9 · 2013: 1
- FWCI
- 239.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Natural hazards and earth system sciences (publishedVersion, cc-by)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Biogeosciences (European Geosciences Union) (submittedVersion, cc-by)
- Funders
- Natural Environment Research Council (NE/N000315, NE/N000315/1, NE/N000315/2, NE/I00842X/1)
- Topics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Landslides and related hazards
- Physical Sciences › Engineering › Mechanical Engineering › Tree Root and Stability Studies
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
- Keywords
- landslide fatalities, landslide database, rainfall-induced landslides, climate anomalies, ENSO, human disturbance, construction, illegal mining, spatio-temporal analysis, landslide risk
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