IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p635-d1317099.html
   My bibliography  Save this article

The Uncertain Certainty of a Nightmare: What If Another Destructive Earthquake Strikes Izmir (Türkiye)?

Author

Listed:
  • Stefano Salata

    (Lab PPTE, Department of Architecture and Urban Studies (DAStU), Politecnico di Milano, 20133 Milano, Italy)

  • Taygun Uzelli

    (Geothermal Energy Research and Application Center, Izmir Institute of Technology, Urla 35433, Türkiye)

Abstract

On 6 February 2023, near Kahramanmaraş in south-central Türkiye, an event underscored the vulnerability of cities to seismic activity, revealing a lack of preparedness for substantial shocks. The contributing factors are manifold, yet fundamentally, the collapse of buildings and infrastructure can be attributed to an underestimated capacity for meticulous settlement planning (location) and the adoption of advanced techniques for resilient construction (structure). Regrettably, as has been investigated by many research works, ordinary urban planning in Türkiye hardly finds ways to integrate the vulnerability analysis for settlement expansion, which includes the full integration of geological characteristics with the analysis of building sensitivity. With this work, we wanted to build a composite risk index based on earthquake vulnerability, hazard amplification map, and exposure. We designed the composite index in Izmir’s basin, Türkiye’s third most populated city, to answer the question: What if a destructive earthquake strikes this densely settled area? The results illustrates how the coupled integration of digital data on geology with settlements and infrastructure in a Geographic Information System environment can be used to produce risk maps and plan the anthropic system’s adaptation carefully. Findings demonstrate the city is highly vulnerable to earthquakes and identify priority areas for planning intervention, relocation, and renovation of buildings.

Suggested Citation

  • Stefano Salata & Taygun Uzelli, 2024. "The Uncertain Certainty of a Nightmare: What If Another Destructive Earthquake Strikes Izmir (Türkiye)?," Sustainability, MDPI, vol. 16(2), pages 1-26, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:635-:d:1317099
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/635/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/2/635/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sakariyahu, Rilwan & Lawal, Rodiat & Oyekola, Olayinka & Dosumu, Oluwatoyin Esther & Adigun, Rasheed, 2023. "Natural disasters, investor sentiments and stock market reactions: Evidence from Turkey–Syria earthquakes," Economics Letters, Elsevier, vol. 228(C).
    2. Peterson, Erin & Ver Hoef, Jay, 2014. "STARS: An ArcGIS Toolset Used to Calculate the Spatial Information Needed to Fit Spatial Statistical Models to Stream Network Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i02).
    3. Luca Congedo & Lorenzo Sallustio & Michele Munafò & Marco Ottaviano & Daniela Tonti & Marco Marchetti, 2016. "Copernicus high-resolution layers for land cover classification in Italy," Journal of Maps, Taylor & Francis Journals, vol. 12(5), pages 1195-1205, October.
    4. Paramet Luathep & Agachai Sumalee & H. Ho & Fumitaka Kurauchi, 2011. "Large-scale road network vulnerability analysis: a sensitivity analysis based approach," Transportation, Springer, vol. 38(5), pages 799-817, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yirigui Yirigui & Sang-Woo Lee & A. Pouyan Nejadhashemi & Matthew R. Herman & Jong-Won Lee, 2019. "Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    2. Ying Man & Fangwen Zhou & Baoshan Cui, 2023. "Process–Based Identification of Key Tidal Creeks Influenced by Reclamation Activities," Sustainability, MDPI, vol. 15(10), pages 1-11, May.
    3. Xu, Xiangdong & Qu, Kai & Chen, Anthony & Yang, Chao, 2021. "A new day-to-day dynamic network vulnerability analysis approach with Weibit-based route adjustment process," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    4. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
    5. Tommaso Orusa & Annalisa Viani & Enrico Borgogno-Mondino, 2024. "Earth Observation Data and Geospatial Deep Learning AI to Assign Contributions to European Municipalities Sen4MUN: An Empirical Application in Aosta Valley (NW Italy)," Land, MDPI, vol. 13(1), pages 1-21, January.
    6. Francesca Peroni & Guglielmo Pristeri & Daniele Codato & Salvatore Eugenio Pappalardo & Massimo De Marchi, 2019. "Biotope Area Factor: An Ecological Urban Index to Geovisualize Soil Sealing in Padua, Italy," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    7. Aghababaei, Mohammad T. (Siavash) & Costello, Seosamh B. & Ranjitkar, Prakash, 2021. "Measures to evaluate post-disaster trip resilience on road networks," Journal of Transport Geography, Elsevier, vol. 95(C).
    8. Bell, Michael G.H. & Kurauchi, Fumitaka & Perera, Supun & Wong, Walter, 2017. "Investigating transport network vulnerability by capacity weighted spectral analysis," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 251-266.
    9. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    10. Santos-Fernandez, Edgar & Ver Hoef, Jay M. & Peterson, Erin E. & McGree, James & Isaak, Daniel J. & Mengersen, Kerrie, 2022. "Bayesian spatio-temporal models for stream networks," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
    11. Jhorland Ayala-García & Sandy Dall’Erba, 2021. "The impact of preemptive investment on natural disasters," Documentos de trabajo sobre Economía Regional y Urbana 301, Banco de la Republica de Colombia.
    12. Haque, Khademul & Mishra, Sabyasachee & Golias, Mihalis M., 2021. "Multi-period transportation network investment decision making and policy implications using econometric framework," Research in Transportation Economics, Elsevier, vol. 89(C).
    13. Vito Imbrenda & Rosa Coluzzi & Francesca Mariani & Bogdana Nosova & Eva Cudlinova & Rosanna Salvia & Giovanni Quaranta & Luca Salvati & Maria Lanfredi, 2023. "Working in (Slow) Progress: Socio-Environmental and Economic Dynamics in the Forestry Sector and the Contribution to Sustainable Development in Europe," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    14. Yingying Xing & Jian Lu & Shengdi Chen & Sunanda Dissanayake, 2017. "Vulnerability analysis of urban rail transit based on complex network theory: a case study of Shanghai Metro," Public Transport, Springer, vol. 9(3), pages 501-525, October.
    15. Stefano Salata & Elisabetta Peccol & Oscar Borsato, 2019. "A Framework to Evaluate Land Take Control Policy Efficiency in Friuli Venezia Giulia, Italy," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    16. Stefano Salata & Sila Ozkavaf-Senalp & Koray Velibeyoğlu & Zeynep Elburz, 2022. "Land Suitability Analysis for Vineyard Cultivation in the Izmir Metropolitan Area," Land, MDPI, vol. 11(3), pages 1-20, March.
    17. Stefano Salata & Koray Velibeyoğlu & Alper Baba & Nicel Saygın & Virginia Thompson Couch & Taygun Uzelli, 2022. "Adapting Cities to Pluvial Flooding: The Case of Izmir (Türkiye)," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    18. Ahmad Mohamad El-Maissi & Sotirios A. Argyroudis & Moustafa Moufid Kassem & Lee Vien Leong & Fadzli Mohamed Nazri, 2022. "An Integrated Framework for the Quantification of Road Network Seismic Vulnerability and Accessibility to Critical Services," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    19. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    20. Sakariyahu, Rilwan & Lawal, Rodiat & Yusuf, Abdulmueez & Olatunji, Abdulganiyu, 2023. "Mass shootings, investors’ panic, and market anomalies," Economics Letters, Elsevier, vol. 231(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:635-:d:1317099. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.