Identification of Priority Areas Vulnerable to Tsunamis Along the Coastal Zone of Bandar Lampung City

Open Access

Issue		E3S Web Conf. Volume 652, 2025 2^nd International Conference on Sustainable Environment and Disaster Management (2^nd SUSTAIN 2025)


Article Number		04003
Number of page(s)		15
Section		Disaster Risk Reduction, Hazard Detection & Spatial Vulnerability
DOI		https://doi.org/10.1051/e3sconf/202565204003
Published online		15 October 2025

A. M. Asbi, D. Mardiatno, and D. Ruslanjari, “Tsunami hazard area zonation using run- up modeling in the coastal area of Bandar Lampung City,” IOP Conf. Ser.: Earth Environ. Sci., vol. 1479, no. 1, p. 012007, 2025, doi: 10.1088/1755-1315/1479/1/012007. [Google Scholar]
M. Vicuña, J. León, and S. Guzmán, “Urban form planning and tsunami risk vulnerability: Analysis of 12 Chilean coastal cities,” Environ. Plann. B: Urban Anal. City Sci., vol. 49, no. 7, pp. 1967–1979, 2022, https://doi.org/10.1177/23998083221075635 [Google Scholar]
J. Woessner and R. J. Farahani, “Tsunami inundation hazard across Japan,” Int. J. Disaster Risk Reduct., vol. 49, p. 101654, 2020, https://doi.org/10.1016/j.ijdrr.2020.101654 [Google Scholar]
H. A. Vardar et al., “Scenario-based tsunami hazard assessment for the northwestern coast of Marmara Sea,” Geo-Mar. Lett., vol. 43, no. 3, p. 12, 2023, https://doi.org/10.1007/s00367-023-00752-3 [Google Scholar]
A. K. Kondarathi et al., “Tsunami modeling for a possible tsunamigenic earthquake from the 1762 Arakan source region and its effect along the South Andaman Coast,” J. Geol. Soc. India, vol. 101, no. 6, pp. 866–871, 2025, https://doi.org/10.17491/jgsi/2025/174175 [Google Scholar]
D. Tufekci-Enginar, M. L. Suzen, and A. C. Yalciner, “The evaluation of public awareness and community preparedness parameter in GIS-based spatial tsunami human vulnerability assessment (MeTHuVA),” Nat. Hazards, vol. 105, no. 3, pp. 2639–2658, 2021, https://doi.org/10.1007/s11069-020-04416-8 [Google Scholar]
L. Cugliari, A. Cerase, and A. Amato, “Tsunami risk perception, a state-of-the-art review with a focus in the NEAM region,” Front. Earth Sci., vol. 10, p. 995536, 2022, https://doi.org/10.3389/feart.2022.995536 [Google Scholar]
P. Salah and J. Sasaki, “Knowledge, awareness, and attitudes toward tsunamis: A local survey in the southern coast of Iran,” Sustainability, vol. 13, no. 2, p. 449, 2021, https://doi.org/10.3390/su13020449 [Google Scholar]
A. Dhellemmes et al., “Tsunami awareness and preparedness in Aotearoa New Zealand: The evolution of community understanding,” Int. J. Disaster Risk Reduct., vol. 65, p. 102576, 2021, https://doi.org/10.1016/j.ijdrr.2021.102576 [Google Scholar]
N. Wood et al., “Multi-hazard risk analysis for the US Department of the Interior: an integration of expert elicitation, planning priorities, and geospatial analysis,” Int. J. Disaster Risk Reduct., vol. 82, p. 103385, 2022, https://doi.org/10.1016/j.ijdrr.2022.103385 [Google Scholar]
M. Alwi and B. W. Mutaqin, “Geospatial mapping of tsunami susceptibility in Parangtritis coastal area of Yogyakarta, Indonesia,” Arab. J. Geosci., vol. 15, no. 15, p. 1332, 2022, https://doi.org/10.1007/s12517-022-10608-2 [Google Scholar]
S. Biswas and A. Sil, “Tsunami vulnerability assessment and multi-criteria decision making analysis of Eastern Coast of India using GIS-based tools,” KSCE J. Civ. Eng., vol. 27, no. 3, pp. 1270–1287, 2023, https://doi.org/10.1007/s12205-023-1493-y [Google Scholar]
S. Biswas and A. Sil, “Tsunami vulnerability assessment using GIS and AHP technique for Southern Coastal Region of India,” Nat. Hazards Rev., vol. 25, no. 3, p. 04024019, 2024, https://doi.org/10.1061/NHREFO.NHENG-1594 [Google Scholar]
F. Usman et al., “Assessing coastal population capacity in tsunami-prone areas: A grid-based approach,” Jàmbá: J. Disaster Risk Stud., vol. 16, no. 1, pp. 1–10, 2024, https://doi.org/10.4102/jamba.v16i1.1685 [Google Scholar]
Z. Hidayah, N. N. Rohmah, and M. K. Wardhani, “Coastal vulnerability study on potential impact of tsunami and community resilience in Pacitan Bay East Java,” Forum Geogr., vol. 36, no. 1, 2022, https://doi.org/10.23917/forgeo.v36i1.17160 [Google Scholar]

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