School of GeoSciences, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
deceased
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,426 (including HTML, PDF, and XML)
HTML
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EndNote
1,095
234
97
1,426
71
63
82
HTML: 1,095
PDF: 234
XML: 97
Total: 1,426
Supplement: 71
BibTeX: 63
EndNote: 82
Views and downloads (calculated since 17 Jan 2024)
Cumulative views and downloads
(calculated since 17 Jan 2024)
Total article views: 1,221 (including HTML, PDF, and XML)
HTML
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Supplement
BibTeX
EndNote
891
234
96
1,221
71
63
82
HTML: 891
PDF: 234
XML: 96
Total: 1,221
Supplement: 71
BibTeX: 63
EndNote: 82
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads
(calculated since 14 Oct 2024)
Total article views: 205 (including HTML, PDF, and XML)
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BibTeX
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204
0
1
205
0
0
HTML: 204
PDF: 0
XML: 1
Total: 205
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 17 Jan 2024)
Cumulative views and downloads
(calculated since 17 Jan 2024)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,426 (including HTML, PDF, and XML)
Thereof 1,364 with geography defined
and 62 with unknown origin.
Total article views: 1,221 (including HTML, PDF, and XML)
Thereof 1,172 with geography defined
and 49 with unknown origin.
Total article views: 205 (including HTML, PDF, and XML)
Thereof 192 with geography defined
and 13 with unknown origin.
Rapidly expanding cities in earthquake-prone regions of the Global South often lack seismic event records, hindering accurate ground motion predictions for hazard assessment. Our study demonstrates that, despite these limitations, reliable predictions can be made using simulation-based methods for small (sub)urban units undergoing rapid development. High-resolution local geological data can reveal spatial variability in ground motions, aiding effective risk mitigation.
Rapidly expanding cities in earthquake-prone regions of the Global South often lack...