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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Taftsoglou, M | - |
| dc.contributor.author | Papathanassiou, G | - |
| dc.contributor.author | Valkaniotis, S | - |
| dc.contributor.author | Argyroudis, S | - |
| dc.contributor.author | Mitoulis, S-A | - |
| dc.date.accessioned | 2025-12-15T14:53:13Z | - |
| dc.date.available | 2025-12-15T14:53:13Z | - |
| dc.date.issued | 2025-12-13 | - |
| dc.identifier | ORCiD: Maria Taftsoglou https://orcid.org/0000-0002-2770-6981 | - |
| dc.identifier | ORCiD: George Papathanassiou https://orcid.org/0000-0001-6720-9683 | - |
| dc.identifier | ORCiD: Sotirios Valkaniotis https://orcid.org/0000-0003-0003-2902 | - |
| dc.identifier | ORCiD: Sotirios Argyroudis https://orcid.org/0000-0002-8131-3038 | - |
| dc.identifier | Article number: 101849 | - |
| dc.identifier.citation | Taftsoglou, M. et al. (2025) 'Airport infrastructure risk to liquefaction by deploying multi-modal data and remote sensing', Transportation Geotechnics, 0 (in press, pre-proof), 101849, pp. 1 - 43. doi: 10.1016/j.trgeo.2025.101849. | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/32493 | - |
| dc.description | Data availability: Data will be made available on request. | en_US |
| dc.description | This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability. This version will undergo additional copyediting, typesetting and review before it is published in its final form. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article. Please note that Elsevier's sharing policy for the Published Journal Article applies to this version, see: https://www.elsevier.com/about/policies-and-standards/sharing#4-published-journal-article. Please also note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. | - |
| dc.description.abstract | Airports are critical components of transport infrastructure, contributing to regional socioeconomic vitality and serving as key hubs for emergency response during natural disasters. However, their operations are highly vulnerable to geohazards such as earthquake-induced soil liquefaction and associated ground failures. Despite this vulnerability, there is currently a lack of rapid, regionally scalable tools for assessing liquefaction-related risks specific to airport infrastructure. This paper for the first time in the literature addresses this gap by introducing a practical, geomorphology-informed methodology for the preliminary identification of liquefaction-prone areas and the rapid assessment of risk to airport infrastructure. The proposed approach leverages multimodal data, including surface geological mapping, tailored remote sensing inputs, and established seismic risk models, to develop liquefaction susceptibility maps and estimate potential damage. The methodology is applied to a real-world airport case study under a representative seismic scenario, revealing that large sections of the runway and taxiways are situated on highly susceptible soils. The HAZUS methodology is employed to assess potential losses and is validated using data from three international airports that have experienced documented liquefaction-related damage. This study provides a novel, scalable, and cost-effective framework that can be applied globally to support airport operators, risk engineers, and insurers in rapidly identifying vulnerable zones, prioritizing inspections, and developing targeted mitigation strategies. It contributes to advancing geotechnical risk assessment by bridging regional-scale mapping with infrastructure-specific vulnerability analysis. The methodology has the potential to be extended and applied to other critical infrastructure—such as ports, highways, railways, and industrial facilities—located in areas susceptible to liquefaction. | en_US |
| dc.description.sponsorship | The first three authors acknowledge support of this work by the project “Risk and Resilience Assessment Center–Prefecture of East Macedonia and Thrace-Greece.” (MIS 5047293) which is implemented under the Action “Reinforcement of the Research and Innovation Infrastructure”, funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund). | en_US |
| dc.format.extent | 1 - 43 | - |
| dc.format.medium | Electronic | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Elsevier | en_US |
| dc.rights | Creative Commons Attribution 4.0 International | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | liquefaction risk assessment | en_US |
| dc.subject | airport infrastructure | en_US |
| dc.subject | geohazards | en_US |
| dc.subject | remote sensing | en_US |
| dc.subject | seismic vulnerability | en_US |
| dc.title | Airport infrastructure risk to liquefaction by deploying multi-modal data and remote sensing | en_US |
| dc.type | Article | en_US |
| dc.date.dateAccepted | 2025-12-11 | - |
| dc.identifier.doi | https://doi.org/10.1016/j.trgeo.2025.101849 | - |
| dc.relation.isPartOf | Transportation Geotechnics | - |
| pubs.publication-status | Published | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 2214-3912 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2025-12-11 | - |
| dc.rights.holder | The Author(s) | - |
| Appears in Collections: | Dept of Civil and Environmental Engineering Research Papers | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under a Creative Commons license ( https://creativecommons.org/licenses/by/4.0/ ). | 13.1 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License