IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14329-d1249929.html
   My bibliography  Save this article

Determination and Evaluation of Landslide-Prone Regions of Isparta (Turkey): An Urban Planning View

Author

Listed:
  • Aynur Uluç Keçik

    (Department of City and Regional Planning, Faculty of Architecture, Süleyman Demirel University, Isparta 32260, Turkey)

  • Canan Çiftçi

    (Department of Geophysical Engineering, Faculty of Engineering, Süleyman Demirel University, Isparta 32260, Turkey)

  • Şirin Gülcen Eren

    (Department of City and Regional Planning, Faculty of Architecture, Süleyman Demirel University, Isparta 32260, Turkey)

  • Aslı Tepecik Diş

    (School of Architecture and Built Environment, KTH Royal Institute of Technology, 10044 Stockholm, Sweden)

  • Agatino Rizzo

    (Architecture Research Group, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 97187 Luleå, Sweden
    Department of Architecture, School of Arts, Design and Architecture, Aalto University, 11 000 Aalto, Finland)

Abstract

Landslides represent a significant hazard affecting human life and property and threaten the sustainability of human settlements. They are among the most critical threats after earthquakes in Turkey. In 2020, 107 landslide events occurred in Turkey. Implementing proper policies, strategies, and tools for landslide risk mitigation remains challenging for urban planning institutions. In the plan preparation phase, urban planners and plan-making authorities, agencies, or institutions may overlook landslide risks due to a lack of data or related studies. Therefore, this article aims to develop a novel spatial analysis for identifying landslide-prone areas at the provincial level from an urban planning perspective. The analysis is compared to the approved upper-scale plan, and the results are used to build a more robust understanding of landslide risks for sustainable urban development. Isparta Province is selected as the study area, as it has active landslide areas. The methods used include a literature survey including internet sources, newspapers, plans, articles, and other research projects and a case study utilizing a GIS spatial analysis. The spatial analysis using GIS is based on three landslide inventories currently available in Turkey. This spatial analysis is developed to determine landslide-prone regions by considering thematic layers, triggering factors, and vulnerability inputs. As a result of this analysis, five landslide-prone areas in Isparta Province are determined. When these regions are compared to the upper-scale plan that covers the province, it is found that land use and planning decisions have neglected landslide risks, and urban areas are at high landslide risk. Several specific principles and strategies, such as a spatial inventory database and an integrated planning approach including landslide-prone areas, are stated with a reliable spatial analysis to assess landslide-prone areas on a regional scale, which can be applied later in any city and region of Turkey.

Suggested Citation

  • Aynur Uluç Keçik & Canan Çiftçi & Şirin Gülcen Eren & Aslı Tepecik Diş & Agatino Rizzo, 2023. "Determination and Evaluation of Landslide-Prone Regions of Isparta (Turkey): An Urban Planning View," Sustainability, MDPI, vol. 15(19), pages 1-25, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14329-:d:1249929
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14329/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/19/14329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kyaw Swar Myint Thein & Masahiko Nagai & Tai Nakamura & Noppadol Phienwej & Indrajit Pal, 2023. "Assessment of the Impacts of Urbanization on Landslide Susceptibility in Hakha City, a Mountainous Region of Western Myanmar," Land, MDPI, vol. 12(5), pages 1-25, May.
    2. Anna Roccati & Guido Paliaga & Fabio Luino & Francesco Faccini & Laura Turconi, 2021. "GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment," Land, MDPI, vol. 10(2), pages 1-28, February.
    3. Marta Fernandez-Hernández & Carlos Paredes & Ricardo Castedo & Miguel Llorente & Rogelio la Vega-Panizo, 2012. "Rockfall detachment susceptibility map in El Hierro Island, Canary Islands, Spain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1247-1271, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Germán Vargas-Cuervo & Yolanda Teresa Hernández-Peña & Carlos Alfonso Zafra-Mejía, 2024. "Challenges for Sustainable Urban Planning: A Spatiotemporal Analysis of Complex Landslide Risk in a Latin American Megacity," Sustainability, MDPI, vol. 16(8), pages 1-20, April.

    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. Paúl Carrión-Mero & Maribel Aguilar-Aguilar & Fernando Morante-Carballo & María José Domínguez-Cuesta & Cristhian Sánchez-Padilla & Andrés Sánchez-Zambrano & Josué Briones-Bitar & Roberto Blanco-Torre, 2021. "Surface and Underground Geomechanical Characterization of an Area Affected by Instability Phenomena in Zaruma Mining Zone (Ecuador)," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    2. Vishal Balaji Devanand & Adam Mubeen & Zoran Vojinovic & Arlex Sanchez Torres & Guido Paliaga & Ahmad Fikri Abdullah & João P. Leitão & Natasa Manojlovic & Peter Fröhle, 2023. "Innovative Methods for Mapping the Suitability of Nature-Based Solutions for Landslide Risk Reduction," Land, MDPI, vol. 12(7), pages 1-15, July.
    3. He Yang & Qihong Wu & Jianhui Dong & Feihong Xie & Qixue Zhang, 2023. "Landslide Risk Mapping Using the Weight-of-Evidence Method in the Datong Mining Area, Qinghai Province," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    4. Chi Yang & Jinghan Wang & Shuyi Li & Ruihan Xiong & Xiaobo Li & Lin Gao & Xu Guo & Chuanming Ma & Hanxiang Xiong & Yang Qiu, 2024. "Landslide Susceptibility Assessment and Future Prediction with Land Use Change and Urbanization towards Sustainable Development: The Case of the Li River Valley in Yongding, China," Sustainability, MDPI, vol. 16(11), pages 1-26, May.
    5. Xianmin Wang & Xinlong Zhang & Jia Bi & Xudong Zhang & Shiqiang Deng & Zhiwei Liu & Lizhe Wang & Haixiang Guo, 2022. "Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning," IJERPH, MDPI, vol. 19(21), pages 1-26, October.
    6. K. Sajinkumar & S. Anbazhagan, 2015. "Geomorphic appraisal of landslides on the windward slope of Western Ghats, southern India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 953-973, January.
    7. Wenchao Huangfu & Weicheng Wu & Xiaoting Zhou & Ziyu Lin & Guiliang Zhang & Renxiang Chen & Yong Song & Tao Lang & Yaozu Qin & Penghui Ou & Yang Zhang & Lifeng Xie & Xiaolan Huang & Xiao Fu & Jie Li &, 2021. "Landslide Geo-Hazard Risk Mapping Using Logistic Regression Modeling in Guixi, Jiangxi, China," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    8. Zhiye Wang & Chuanming Ma & Yang Qiu & Hanxiang Xiong & Minghong Li, 2022. "Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China," IJERPH, MDPI, vol. 19(15), pages 1-22, August.
    9. Michael Makonyo & Zahor Zahor, 2023. "GIS-based analysis of landslides susceptibility mapping: a case study of Lushoto district, north-eastern Tanzania," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1085-1115, September.
    10. Andrea Ferrando & Francesco Faccini & Guido Paliaga & Paola Coratza, 2021. "A Quantitative GIS and AHP Based Analysis for Geodiversity Assessment and Mapping," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

    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:15:y:2023:i:19:p:14329-:d:1249929. 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.