Spatial analysis of earthquake-prone rural areas and residents' preparedness

被引:1
|
作者
Hajilo, Mehdi [1 ,3 ]
Talkhab, Amir [2 ]
Pennington-Gray, Lori [1 ]
机构
[1] Temple Univ, Dept Tourism & Hospitality Management, Philadelphia, PA 19122 USA
[2] Univ Tehran, Tehran, Iran
[3] Univ South Carolina, Richardson Family SmartState Ctr Econ Excellence T, Columbia, SC 29208 USA
关键词
Earthquake; Rural areas; Spatial analysis; Local preparedness; RISK-ASSESSMENT; GIS; REDUCTION; SYSTEM; CITY; IRAN;
D O I
10.1007/s11069-023-06364-5
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In impoverished rural areas, natural disasters, notably earthquakes, have a substantial impact, necessitating the identification of vulnerable regions and the development of comprehensive disaster mitigation strategies. This study conducted a spatial analysis of earthquake-prone rural areas in Abhar, Iran, to assess their seismic status and the preparedness of residents. The study comprised two segments, the first utilized the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) Multiple Criteria Decision-Making Model within ArcGIS, incorporating 10 factors. The second phase entailed a survey in which 379 questionnaires were gathered from residents and subsequently subjected to analysis using SPSS software. The spatial analysis categorized rural areas into three groups, distinguishing between high, low, and moderate seismic risks, with 39 locations falling into the moderate and high-risk categories. Among the factors analyzed, certain elements, such as access to health centers in rural and nearby urban areas, as well as the availability of emergency centers like fire stations, emerged as neglected areas, necessitating immediate reinforcement or establishment. Moreover, the outcomes regarding local preparedness revealed deficiencies across all domains, encompassing individual, physical, economic, and accessibility aspects. Furthermore, the research findings underscored a pronounced economic fragility, with accessibility factors exerting direct or indirect influence on the overall susceptibility of the situation. This research provides a holistic understanding by integrating natural and man-made factors with the current preparedness status of residents to reveal a pressing need for optimizing the spatial allocation of essential services, such as health and emergency facilities. Additionally, enhancing economic conditions and implementing training initiatives are imperative for bolstering community preparedness. These findings have significant implications for managers, decision-makers, and government authorities committed to enhancing public safety and mitigating earthquake hazards.
引用
收藏
页码:4101 / 4130
页数:30
相关论文
共 50 条
  • [21] An Analysis of Possibilities of GNSS Local Strain Monitoring Networks in Earthquake-Prone Areas
    V. I. Kaftan
    V. N. Tatarinov
    Journal of Volcanology and Seismology, 2021, 15 : 379 - 386
  • [22] An Analysis of Possibilities of GNSS Local Strain Monitoring Networks in Earthquake-Prone Areas
    Kaftan, V. I.
    Tatarinov, V. N.
    JOURNAL OF VOLCANOLOGY AND SEISMOLOGY, 2021, 15 (06) : 379 - 386
  • [23] Earthquake-Prone Cities
    Sharp, David
    JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE, 2009, 86 (05): : 665 - 667
  • [24] A new approach to recognition of the strong earthquake-prone areas in the Caucasus
    Gvishiani, A. D.
    Dzeboev, B. A.
    Agayan, S. M.
    IZVESTIYA-PHYSICS OF THE SOLID EARTH, 2013, 49 (06) : 747 - 766
  • [25] System-Analytical Method of Earthquake-Prone Areas Recognition
    Dzeboev, Boris A.
    Gvishiani, Alexei D.
    Agayan, Sergey M.
    Belov, Ivan O.
    Karapetyan, Jon K.
    Dzeranov, Boris, V
    Barykina, Yuliya, V
    APPLIED SCIENCES-BASEL, 2021, 11 (17):
  • [26] A new approach to recognition of the strong earthquake-prone areas in the Caucasus
    A. D. Gvishiani
    B. A. Dzeboev
    S. M. Agayan
    Izvestiya, Physics of the Solid Earth, 2013, 49 : 747 - 766
  • [27] Recognition of earthquake-prone areas (M ≥ 5.0) in the Iberian Peninsula
    A. I. Gorshkov
    A. A. Soloviev
    M. J. Jiménez
    M. García-Fernández
    G. F. Panza
    RENDICONTI LINCEI, 2010, 21 : 131 - 162
  • [28] Seismic resilience: Innovations in structural engineering for earthquake-prone areas
    Al-Asadi, Ali K.
    Alrebeh, Salih
    OPEN ENGINEERING, 2024, 14 (01):
  • [29] Recognition of strong earthquake-prone areas with a single learning class
    Gvishiani, A. D.
    Agayan, S. M.
    Dzeboev, B. A.
    Belov, I. O.
    DOKLADY EARTH SCIENCES, 2017, 474 (01) : 546 - 551
  • [30] Significant Earthquake-Prone Areas in the Altai-Sayan Region
    Gvishiani, A. D.
    Dzeboev, B. A.
    Sergeeva, N. A.
    Belov, I. O.
    Rybkina, A. I.
    IZVESTIYA-PHYSICS OF THE SOLID EARTH, 2018, 54 (03) : 406 - 414