A multi-criteria approach for assessing urban flood resilience in Tehran, Iran

被引:200
|
作者
Moghadas, Mahsa [1 ]
Asadzadeh, Asad [1 ]
Vafeidis, Athanasios [2 ]
Fekete, Alexander [3 ]
Koetter, Theo [1 ]
机构
[1] Univ Bonn, Inst Geodesy & Geoinformat, Urban Planning & Land Management Grp, Nussallee 1, D-53115 Bonn, Germany
[2] Univ Kiel, Inst Geog, Ludewig Meyn Str 14, D-24098 Kiel, Germany
[3] Cologne Univ Appl Sci, Inst Rescue Engn & Civil Protect, Betzdorfer Str 2, D-50679 Cologne, Germany
关键词
Urban flood resilience; Composite indicator; AHP; TOPSIS; Tehran; COMMUNITY RESILIENCE; INDICATORS; VALIDATION; FRAMEWORK; TOPSIS; MODEL;
D O I
10.1016/j.ijdrr.2019.101069
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Operationalizing the concept of urban disaster resilience is a major milestone toward understanding both the characteristics that contribute to the resilience of cities to natural hazards and the interactions required to build and sustain it. While the measurement of urban disaster resilience has recently gained much attention, there is so far no optimal approach for operationalizing this concept and therefore there is a need to conduct more empirical studies on what constitutes disaster resilience and how to assess it. In this study, a resilience assessment focuses on the inherent characteristics and capacities of Tehran in the context of flash floods from surface water or from the overflow of rivers. The measurement approach is based on constructing a composite index based on six resilience dimensions social, economic, institutional, infrastructural, community capital and environmental of community flood resilience. This follows by developing a hybrid multi-criteria decision-making method. The applied method is a combination of the AHP for prioritizing the selected indicators and the TOPSIS tools in order to get Tehran's urban districts ranked based on their resilience levels. Data were mostly from the Statistical Center of Iran and Tehran Municipality's accessible data sources. The results clarify that Districts 6 and 22 are comparatively the most resilient districts, while District 1 is the only district with the lowest level of resilience. Such place-based assessments have an opportunity to track community performance over time and provide the tool to decision-makers in order to integrate resilience thinking into urban development and resilience-oriented urban planning.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Urban flood resilience - A multi-criteria index to integrate flood resilience into urban planning
    Bertilsson, Louise
    Wiklund, Karin
    Tebaldi, Isadora de Moura
    Rezende, Osvaldo Moura
    Verol, Aline Pires
    Miguez, Marcelo Gomes
    [J]. JOURNAL OF HYDROLOGY, 2019, 573 : 970 - 982
  • [2] A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania
    Volkov, Artiom
    Zickiene, Agne
    Morkunas, Mangirdas
    Balezentis, Tomas
    Ribasauskiene, Erika
    Streimikiene, Dalia
    [J]. SUSTAINABILITY, 2021, 13 (04) : 1 - 16
  • [3] A multi-criteria decision making method for urban flood resilience evaluation with hybrid uncertainties
    Li, Zongmin
    Zhang, Xinxin
    Ma, Yanfang
    Feng, Cuiying
    Hajiyev, Asaf
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2019, 36
  • [4] Evaluation of Resilience in Historic Urban Areas by Combining Multi-Criteria Decision-Making System and GIS, with Sustainability and Regeneration Approach: The Case Study of Tehran (IRAN)
    Fard, Seyed Mohammad Haghighi
    Doratli, Naciye
    [J]. SUSTAINABILITY, 2022, 14 (05)
  • [5] Participatory flood vulnerability assessment: a multi-criteria approach
    de Brito, Mariana Madruga
    Evers, Mariele
    Almoradie, Adrian Delos Santos
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (01) : 373 - 390
  • [6] Assessing and mapping urban ecological resilience using the loss-gain approach: A case study of Tehran, Iran
    Shamsipour, Aliakbar
    Jahanshahi, Shayesteh
    Mousavi, Seyed Sajad
    Shoja, Faeze
    Golenji, Roghayeh Ansari
    Tayebi, Safiyeh
    Alavi, Seyed Ali
    Sharifi, Ayyoob
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2024, 103
  • [7] Urban Infrastructure Resilience Assessment During Mega Sport Events Using a Multi-Criteria Approach
    Serdar, Mohammad Zaher
    Koc, Muammer
    Al-Ghamdi, Sami G.
    [J]. FRONTIERS IN SUSTAINABILITY, 2021, 2
  • [9] A novel approach for assessing flood risk with machine learning and multi-criteria decision-making methods
    Shikhteymour, Sharareh Rashidi
    Borji, Moslem
    Bagheri-Gavkosh, Mehdi
    Azimi, Ehsan
    Collins, Timothy W.
    [J]. APPLIED GEOGRAPHY, 2023, 158
  • [10] Multi-criteria modeling for land suitability evaluation of the urban greenbelts in Iran
    G. Rabbani
    S. Madanian
    M. R. Mansouri Daneshvar
    [J]. Modeling Earth Systems and Environment, 2021, 7 : 1291 - 1307