Open Source Data-Based Solutions for Identifying Patterns of Urban Earthquake Systemic Vulnerability in High-Seismicity Areas

被引:2
|
作者
Andra-Cosmina, Albulescu [1 ,2 ]
机构
[1] Alexandru Ioan Cuza Univ, Tuln Res Stn via RECENT AIR Project, Iasi 700506, Romania
[2] Alexandru Ioan Cuza Univ, Fac Geog & Geol, Dept Geog, Iasi 700506, Romania
关键词
earthquake vulnerability; systemic vulnerability; urban seismic vulnerability; emergency management; spatial patterns; SPATIAL MULTICRITERIA ANALYSIS; SERVICE ACCESSIBILITY; BUCHAREST; FRAMEWORK; FAILURE; HAZARDS; HEALTH; IMPACT; REGION; MODEL;
D O I
10.3390/rs15051453
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban settlements located in high-seismicity areas should benefit from comprehensive vulnerability analyses, which are essential for the proper implementation of vulnerability modelling actions. Alas, many developing countries face a shortage of knowledge on seismic vulnerability, particularly concerning its systemic component, as a consequence of a combination of data scarcity and a lack of interest from authorities. This paper aims to identify primary time-independent spatial patterns of earthquake systemic vulnerability based on the accessibility of key emergency management facilities (e.g., medical units, fire stations), focusing on the urban settlements located in the high-seismicity area nearby the Vrancea Seismogenic Zone in Romania. The proposed methodological framework relies on open source data extracted from OpenStreetMap, which are processed via GIS techniques and tools (i.e., Network Analyst, Weighted Overlay Analysis), to compute the service areas of emergency management centres, and to map earthquake systemic vulnerability levels. The analysis shows that accessibility and systemic vulnerability patterns are significantly impacted by a synergy of factors deeply rooted in the urban spatial layout. Although the overall accessibility was estimated to be medium-high, and the overall systemic vulnerability to be low-medium, higher systemic vulnerability levels in certain cities (e.g., Bacau, Onesti, Tecuci, Urziceni). The presented findings have multi-scalar utility: they aid in the development of improved, locally tailored seismic vulnerability reduction plans, as well as the allocation of financial and human resources required to manage earthquake-induced crises at regional scale. Further to that, the paper provides a transparent methodological framework that can be replicated to put cities in high-seismicity areas on the map of systemic vulnerability assessments, laying the groundwork for positive change in countries where the challenges associated with high-level seismic risk are often overlooked.
引用
收藏
页数:24
相关论文
共 6 条
  • [1] Transport indicator analysis and comparison of 151 urban areas, based on open source data
    Ali Enes Dingil
    Joerg Schweizer
    Federico Rupi
    Zaneta Stasiskiene
    European Transport Research Review, 2018, 10
  • [2] Transport indicator analysis and comparison of 151 urban areas, based on open source data
    Dingil, Ali Enes
    Schweizer, Joerg
    Rupi, Federico
    Stasiskiene, Zaneta
    EUROPEAN TRANSPORT RESEARCH REVIEW, 2018, 10 (02)
  • [3] Extraction of Building Information Based on Multi-Source Spatiotemporal Data for Earthquake Insurance in Urban Areas
    Zhang, Pan
    Li, Xiaojun
    He, Qiumei
    APPLIED SCIENCES-BASEL, 2023, 13 (11):
  • [4] Identification of Potential Urban Development Areas and Extraction of Urban Land Use Information Based on Open Source Data
    Xu, Shaojuan
    Manzke, Nina
    de Lange, Norbert
    Zuelsdorf, Jan
    Kada, Martin
    Ehlers, Manfred
    10TH INTERNATIONAL CONFERENCE ENVIRONMENTAL ENGINEERING (10TH ICEE), 2017,
  • [5] Identifying Residential Areas Based on Open Source Data: A Multi-Criteria Holistic Indicator to Optimize Resource Allocation During a Pandemic
    Oliva, G.
    Guarino, S.
    Setola, R.
    De Angelis, G.
    Coradini, M.
    CRITICAL INFORMATION INFRASTRUCTURES SECURITY, CRITIS 2022, 2023, 13723 : 180 - 194
  • [6] Source data supported high resolution carbon emissions inventory for urban areas of the Beijing-Tianjin-Hebei region: Spatial patterns, decomposition and policy implications
    Cai, Bofeng
    Li, Wanxin
    Dhakal, Shobhakar
    Wang, Jianghao
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2018, 206 : 786 - 799