An overview of the state of urban resilience in Iran

Moradpour, Nabi; Ahmad, Pourahmad; Hataminejad, Hossein; Ziari, Keramatollah; Sharifi, Ayyoob

doi:10.1108/ijdrbe-01-2022-0001

Cited by 4 publications

(2 citation statements)

References 107 publications

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“…This result confirms the high potential of flood risk in the worn-out districts that was mentioned by Asadi et al 37 , who provided strategies for urban infrastructure, facilities and equipment to be sustainable.Considering that global warming can intencify the flood consequences 9 and cause unusual impacts on the natural events 38 , improving the FR in the urban areas becomes more important. Also, the results are in line with Moradpour et al 39 who stated informal settlements, worn-out urban fabrics, and central parts of www.nature.com/scientificreports/ cities have lower resilience to flood. The obtained results of our study showed that indices like economic and infrastructural-physical indices in most of the areas had a similar situation.…”

Section: Discussionsupporting

confidence: 89%

A combined qualitative–quantitative fuzzy method for urban flood resilience assessment in Karaj City, Iran

Khatooni

Hooshyaripor

Malekmohammadi

et al. 2023

Sci Rep

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This study aims to analyze flood resilience (FR) in Karaj City, Iran, using a new fuzzy method which combines several qualitative and quantitative indices. The qualitative part was estimated by a questionnaire consisting of 42 questions distributed into five indices (social-cultural, economic, infrastructural-physical, organizational-institutional, and hydraulic). A fuzzy method was used for analyzing the results. To quantify the hydraulic index, a 25-year flood was simulated in the Storm Water Management Model and the flooding volume at every grid was estimated. The idea was that the flooding amount could be representative of structural FR of drainage network that cannot be evaluated through a questionnaire well. To calculate the FR of different districts, the obtained FR indices were fuzzified then aggregated. Considering that clustering can assist managers and decision makers for more effective flood risk management, a fuzzy equivalence matrix concept was used for clustering FR in the city. Friedman test showed the significance of differences between FR of every two districts. Based on the results, northwestern and southeastern districts had the highest and the lowest resilience, respectively. Although the impact of infrastructure-physical index on the FR was similar in most of the districts, the contribution of social-cultural, organizational-institutional, and hydraulic indices was significantly different. Also, districts with low scores in the infrastructure-physical, organizational-institutional, and hydraulic indices need more attention for flood risk management.

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Section: Discussionsupporting

confidence: 89%

A combined qualitative–quantitative fuzzy method for urban flood resilience assessment in Karaj City, Iran

Khatooni

Hooshyaripor

Malekmohammadi

et al. 2023

Sci Rep

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“…As for research methods, quantitative research initially focused on a single aspect has developed into a combination of qualitative and quantitative research [20], such as comprehensive index methods and measurement methods. In terms of the research scale, it includes countries [21][22][23], provinces [24], city clusters [25], prefecture-level cities [26], communities [27], and so on. In addition, some scholars have proposed that basic urban green infrastructure (UGI) can improve urban ecological resilience [28] or can be used to study the association between urban form and urban resilience using special methods and exploring the relationship between the two [29].…”

Section: Introductionmentioning

confidence: 99%

The Spatial and Temporal Evolution Pattern and Influencing Factors of Urban Human Settlement Resilience in Three Provinces of Northeast China

Liu,

Li,

Liu

et al. 2023

Land

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It is widely recognized that urban resilience is one of the core goals of urban development. As an important part of a city, the resilience level of urban human settlements directly affects the development trend of urban resilience. However, at present, research results on the resilience of urban human settlements are very rare, are mainly concentrated in the central region of China, and rarely take into account the economically backward northeastern region. Therefore, in order to better improve the anti-risk ability of the urban human settlement environment system in three provinces of Northeast China, fully implement the strategic goal of “Comprehensive Revitalization of Northeast China”, and achieve high-quality urban development, this paper focuses on 34 prefecture-level cities in three provinces of Northeast China and proposes an urban human settlement resilience evaluation system with 36 indicators in five dimensions, namely, the natural system, human system, housing system, supporting system, and social system. Using the entropy weight method, the Dagum Gini coefficient, and a geographical probe model, the changes in the resilience level of each city from 2005 to 2020 were measured, and the urban living environment was assessed in terms of the adaptability and resilience of the development level in each subsystem based on the temporal and spatial evolution law and its influencing factors. The following conclusions were drawn: (1) The development level of urban human settlement resilience in the three provinces in Northeast China showed an N-shaped development trend from 2005 to 2020, but the regional differences were significant, and the overall spatial pattern was “high in the south and low in the north”. (2) In terms of the overall difference, the overall difference in urban human settlement resilience in the three northeastern provinces of China was small: the inter-regional difference was the main source of the difference, and the intra-regional difference was the secondary source. The regional differences were in the order of Heilongjiang Province > Liaoning Province > Jilin Province, indicating that Jilin Province had the smallest difference and that the resilience level of urban human settlements does not show a balanced development trend. In terms of the average Gini coefficient between regions, the order of difference was Liaoning Province–Heilongjiang Province > Jilin Province–Liaoning Province > Jilin Province–Heilongjiang Province, indicating that the difference between Liaoning Province and Heilongjiang Province was the most significant. (3) The “natural system”, “human system”, “living system”, “supporting system”, and “social system” had significant spatial and temporal heterogeneity and significantly affected the resilience level of urban human settlements in the three provinces in Northeast China. Among them, the “social system” has always been the main factor affecting the resilience level of urban human settlements.

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Downscaling urban resilience assessment: A spatiotemporal analysis of urban blocks using the fuzzy Delphi method and K-means clustering

Moradpour,

Pourahmad,

Ziari

et al. 2024

Building and Environment

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An overview of the state of urban resilience in Iran

Cited by 4 publications

References 107 publications

A combined qualitative–quantitative fuzzy method for urban flood resilience assessment in Karaj City, Iran

A combined qualitative–quantitative fuzzy method for urban flood resilience assessment in Karaj City, Iran

The Spatial and Temporal Evolution Pattern and Influencing Factors of Urban Human Settlement Resilience in Three Provinces of Northeast China

Downscaling urban resilience assessment: A spatiotemporal analysis of urban blocks using the fuzzy Delphi method and K-means clustering

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