Future urban seismic risk scenarios using a cellular automata model

被引:0
作者
Navarro, Daniel [1 ]
Navarro, Manuel [2 ]
Vallejo, Ismael [1 ]
机构
[1] Univ Seville, Dept Phys Geog & Reg Geog Anal, 4 San Fernando St, Seville 41004, Spain
[2] Univ Almeria, Dept Chem & Phys, Almeria, Spain
关键词
Risk; disaster; urban; complexity; cellular automata; planning; ADRA TOWN; EARTHQUAKE; EVOLUTION;
D O I
10.1080/09654313.2019.1706724
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The disaster risk that cities have to face today is the consequence of development processes that occur over long periods of time due to an existing level of hazard and a continuous change in vulnerability and exposure. These processes are complex to understand and even more to foresee. In this regard, the main goal of this research is to develop an urban model capable of simulating the development of a city under different scenarios and explore the consequences of the seismic risk. The article presents a novel application of a cellular automata model to seismic risk through the simulation of urban expansion and renewal processes, which allows analysing the evolution of seismic risk over time through different future scenarios. The city is approached from the perspective of the complexity sciences and the methodology is based on a combination of seismic risk assessment and cellular automata models. The proposed methodology, based on risk analysis of future scenarios, has a practical application in the planning and management of disaster risk policies, as it provides a deeper understanding of the behaviour of the city and the likely effect of policies on it.
引用
收藏
页码:2101 / 2115
页数:15
相关论文
共 37 条
  • [11] Coburn Andrew., 2002, Earthquake Protection, V2d
  • [12] Statistical physics approach to earthquake occurrence and forecasting
    de Arcangelis, Lucilla
    Godano, Cataldo
    Grasso, Jean Robert
    Lippiello, Eugenio
    [J]. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2016, 628 : 1 - 91
  • [13] Feyen L, 2009, WATER AND URBAN DEVELOPMENT PARADIGMS, P217
  • [14] Modeling urban evolution using neural networks, fuzzy logic and GIS: The case of the Athens metropolitan area
    Grekousis, George
    Manetos, Panos
    Photis, Yorgos N.
    [J]. CITIES, 2013, 30 : 193 - 203
  • [15] Grunthal G., 1998, European macroseismic scale 1998 (EMS-98), V15
  • [16] Alternative future analysis for assessing the potential impact of climate change on urban landscape dynamics
    He, Chunyang
    Zhao, Yuanyuan
    Huang, Qingxu
    Zhang, Qiaofeng
    Zhang, Da
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2015, 532 : 48 - 60
  • [17] Kontou P., 2018, P 26 EUR C PAR DISTR
  • [18] LIU Y., 2009, Modelling Urban Development with GIS and Cellular Automata
  • [19] Lowry IraS., 1964, MODEL METROPOLIS
  • [20] Self-organized criticality applied to natural hazards
    Malamud, BD
    Turcotte, DL
    [J]. NATURAL HAZARDS, 1999, 20 (2-3) : 93 - 116