An overview of the state of urban resilience in Iran

The rapid development of urbanization has led to increasing uncertainties related to urban safety risks, which has brought certain challenges to the sustainable development of cities. The concept of urban resilience has found a new way to improve the ability of a city to absorb and resolve risks. However, the existing literature on the evaluation of urban resilience is mostly developed from a static perspective, lacking a systematic and dynamic understanding of the level of urban resilience. Therefore, this paper takes Hunan Province as the research object, determines the resilience evaluation indicators, collects the data of each indicator by using the observation method and the literature method, then chooses the comprehensive index method and other methods to measure the urban resilience level of Hunan Province in the years of 2010–2021, and observes the dynamic changes in the resilience level. And, we use the GeoDetector model to detect the dominant factors affecting the urban resilience level and the interaction between these factors. The results of this study show that: (1) The level of urban resilience in Hunan Province shows a steady upward trend from 2010 to 2021, but cities with low resilience levels hold a dominant position. Among all subsystems, the level of urban economic resilience is the highest. (2) From 2010 to 2021, the level of urban resilience in Hunan Province indicates a stepwise spatial structure in the spatial pattern, gradually decreasing from east to west. (3) The urban resilience of Hunan Province from 2010 to 2021 has a significant spatial agglomeration effect, mainly manifested as “L-H type” agglomeration and “L-L type” agglomeration. (4) The spatio-temporal differentiation of urban resilience is mainly caused by economic and social factors, while ecological, institutional, and infrastructure factors have a relatively small influence on the level of urban resilience. The interaction of impact factors will have a more significant influence on urban resilience. The research results of this article are of great significance for urban resilience construction in Hunan Province and even the whole country.

Building resilient cities is the foundation and guarantee for the Chengdu-Chongqing economic circle to achieve high-quality and sustainable development. This research uses the entropy TOPSIS method to evaluate the urban resilience level of the Chengdu-Chongqing Economic Circle and uses the Fuzzy Set Qualitative Comparative Analysis (fsQCA) approach to analyze the configuration of contributing factors. Research indicates that the overall urban resilience level is relatively low, with more than 70% of the areas being less than 0.3. Overall, Chengdu (Level 1) and Chongqing central districts (Level 2) are 1–3 levels higher than their surrounding areas, which indicates insufficient spatial balance. The consistency scores of the single-antecedent condition necessity analyses were all less than 0.9, and the consistencies of all configuration analysis results were all greater than 0.8. This research proves that the creation of urban resilience is the result of a combination of factors, rather than the independent influence from any individual factor. Financial and innovation forces are the key driving factors that affect the level of urban resilience. The multiple driving model also helps to improve the level of resilience. The lack of cultural and innovation forces in Chongqing area has been proven to inhibit the level of urban resilience, and the lack of openness and political focus has resulted in a low level of resilience in the Sichuan area. We propose to promote the construction of a “dual core”, to create synergies between Chongqing and Chengdu, and to achieve balanced and integrated development in the entire region. We focus on the key factors affecting the resilience level of the Chengdu-Chongqing economic circle. In the future, we suggest further opening the market and implementing a developing strategy that is driven by economy and innovation. Regarding the construction of the Sichuan and the Chongqing areas, we encourage the two regions to adjust policies based on local conditions. First, the administration should solve the driving force deficiencies for development, then adopt differentiation strategies for regional development.

As global urbanization advances, the expansion of urban land has subjected cities to increasingly frequent and extensive external disturbances, often revealing limitations in disaster prevention and mitigation capacities, particularly in regions characterized by high urbanization, environmental degradation, and recurrent natural disasters. This study investigates the association between urban land expansion and urban resilience, developing a targeted analytical framework to assess their coupling and coordination. Leveraging remote sensing data on land use and socio-economic development indicators, we constructed a comprehensive evaluation index encompassing social, economic, ecological, and infrastructural dimensions. Examining three principal urban agglomerations in China’s Yangtze River Basin, we analyzed the spatial-temporal dynamics and rates of change in urban land area and resilience levels from 2000 to 2020. A coupling coordination model was applied to assess the alignment between the rate of urban land expansion and resilience improvement, ultimately aiming to derive actionable policy recommendations. The results demonstrate that: (1) both the intensity and rate of urban land expansion across urban agglomerations in the Yangtze River Basin have declined, indicating a shift in urbanization focus from “land expansion” to “quality enhancement,” with a slowdown in the conversion of agricultural to urban land. (2) Urban land expansion exhibits weak directionality, with land expansion occurring uniformly within the region. (3) On the whole, resilience levels in the Yangtze River Basin’s urban agglomerations remain moderate or lower, although showing gradual improvement. (4) The coordination between urban land area and urban resilience across the basin is limited, with a declining alignment between urban land expansion and resilience enhancement rates, signaling an emerging imbalance. By assessing the coordination between urban land expansion and resilience, this study seeks to inform policy development on urban land management and resilience enhancement within the Yangtze River Basin’s urban agglomerations.

Combined effects of climate change on urban resilience in the Tibetan Plateau

Evaluation of urban flood resilience and its Space-Time Evolution: A case study of Zhejiang Province, China

By 2050, a majority of the global population will reside in urban agglomerations. Intensifying natural hazards are posing serious challenges to populations within the urban agglomerations. Therefore, it is critical to evaluate the resilience of urban agglomerations to natural hazards. However, the urban resilience of China’s three major urban agglomerations, Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and Guangdong–Hong Kong–Macao Greater Bay Area (GHMB), is not properly determined. To enhance the evaluation of comprehensive resilience in complex urban agglomerations and improve adaptability in the face of uncertain risks, this paper adopts the theory of complex adaptive systems to reveal the driving factors behind resilience. We developed a model for measuring disaster severity, exposure, bearing capacity, recoverability, and learnability. Furthermore, spatial autocorrelation analysis was employed to explore the distribution patterns of resilience and devise strategies for enhancement. The results indicate that the average urban resilience value of the three major urban agglomerations was 0.5061. The average urban resilience values for BTH, YRD, and GHMB are 0.5331, 0.5116, and 0.4612. We found BTH having the highest resilience level, followed by YRD and GHMB. Within BTH, the resilience level was the highest in the northern part of BTH, but the overall resilience of the southern cities should be improved by enhancing Shijiazhuang’s central role. We also found higher resilience level in northwest YRD than in southeast YRD due to lower population density and lower disaster exposure in northwest YRD. However, we found obscure spatial patterns of urban resilience within GHMB, i.e., higher urban resilience in east and west GHMB and lower urban resilience level in central GHMB. This study presents different urban resilience levels over three urban agglomerations, providing background information for urban planning and urban mitigation to natural disasters in a warming climate.

The aim of this research is the systematic observations analyzed in this study explore the correlation between smartphone usage habits and learning outcomes among undergraduate students. The method used in this research is the Systematic Literature Review (SLR) Method. The SLR method is used to identify, review, research, and interpret all existing research on the phenomenon of the topic area of interest, with specific relevant research questions. By using the SLR method, systematic reviews and identification of journals can be carried out, in each process following predetermined steps or protocols. Data collection. Data Collection or data collection is the stage of collecting data for research. The results of the study are that by conducting a systematic review of the available literature, we can assess the relationship between smartphone use and academic performance among undergraduate students. The sources provided in the question do not directly address the relationship between smartphone use and academic achievement among undergraduate students. However, they provide information regarding various methodologies and methods used in studies of digital leadership and smartphone usage behavior. Therefore, although these sources do not provide direct evidence regarding the relationship between smartphone use and academic performance, they can provide insight into research methods and approaches that can be applied to investigate this issue. Additionally, studies on digital leadership highlight the importance of adaptability and effective communication in digital environments, which may be relevant to understanding the impact of smartphone use on academic performance. Based on the sources provided, both qualitative and quantitative studies are needed to comprehensively evaluate the relationship between smartphone use and academic achievement among undergraduate students.

The physical structure of urban settlements has become increasingly vulnerable to hazards following the growing trends of natural hazards, including earthquakes. The concept of resilience has gained momentum to facilitate better planning and response to such hazards. This research seeks to develop a conceptual spatial framework considering different phases of disaster risk management to evaluate urban physical resilience. Twenty indicators that define urban structure are identified and included in an Interpretive Structural Modeling—Analytic Network Process (ISM-ANP) hybrid model for analysis. The model and the indicator weights are adjusted using statistical and optimization techniques. District 4 of Tehran has been selected as the study area, and the proposed evaluation framework is applied to several zones with different physical urban structures. According to the results, the most important indicators of urban structure are the Robustness of Buildings, Street Width, Building Density, and Aspect Ratio. Sensitivity analysis and scenario-making are performed to explore the desired state of urban physical resilience for each zone. The results of the case study indicate moderate levels of urban physical resilience. The study provides more clear and practical insights into the concept of resilience to help urban planners and decision-makers improve urban physical resilience.

Purpose– The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research.Design/methodology/approach– We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013.Findings– Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias.Research limitations/implications– This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection.Originality/value– The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.

Ethnomathematics is mathematics that grows, develops and is practiced by cultural groups such as urban and rural communities, children of certain age groups, labor groups, indigenous peoples, and others. Ethnomathematics that links culture, one of which is community activity and mathematical concepts, certainly has mutually supportive characteristics. This paper discusses the review of results from several journals to obtain information on the application of ethnomathematics to community activities. This article aims to examine the concept of ethnomathematics in community activities by looking at reviews of results from several previous journals. The method used in this study is the Systematic Literature Review (SLR) method. The SLR method is used to identify, review, evaluate, and interpret all available research on the topic area of an interesting phenomenon with certain relevant research questions. By using the SLR method, a systematic review and identification of journals can be carried out, each of which follows the established stages. Data collection was carried out by collecting and reviewing articles on ethnomathematics in community activities published in the 2015-2021 timeframe. There are 14 journal articles or proceedings used in this study which were obtained from the Publish or Perish and Googel Scholar applications. The results of this study are the existence of ethnomathematics in community activities where mathematical concepts are contained in every job and community activity

Urban resilience assessment based on “window” data: The case of three major urban agglomerations in China

Urban ecological resilience plays an important role in enhancing the ability of urban areas to cope with environmental change and promote sustainable development. On the basis of the panel data of 277 prefecture-level cities in China from 2009 to 2023, a comprehensive evaluation index system of the development level of urban ecological resilience is constructed in this paper. This index system uses three dimensions: resistance, resilience, and adaptability. The criteria importance through intercriteria correlation (CRITIC) weighting method is employed to measure the development level of urban ecological resilience in China, and the Gini coefficient two-dimensional decomposition method is used to analyse the spatial gap and source structure of the development level of urban ecological resilience in China. The study finds that: (1) The overall gap in the development level of urban ecological resilience in China is generally decreasing, with resistance making the greatest contribution to this decrease. (2) The disparity in the development level of urban ecological resilience across China generally tends to decrease; with the exception of the northeastern region, the development level gap of ecological resilience in the eastern, central and western regions has narrowed. (3) From a regional perspective, the interregional gap is the main source of the overall gap. In terms of indicator composition, the resistance gap is the primary contributor to the overall disparity. Considering both regional and indicator compositions, the main source of the overall gap has shifted from the resistance gap between the eastern and western regions to the adaptability gap between the central and western regions.

Urban resilience assessment is crucial to guarantee the safe and stable operation of our cities. Looking at the whole process of emergencies from the occurrence, development, causing disaster losses to taking emergency response measures, we combine the danger of urban accident and disaster, the capacity of disaster-bearing carriers, and the emergency management capacity as the influencing factors. Taking Beijing as an example, considering the completeness of the relevant indicators and the difficulty of obtaining data, TOPSIS is used to construct a multi-factor comprehensive assessment model of urban safety resilience; At the same time, the important factors constraining the improvement of safety resilience are further analyzed by using the obstacle degree model. The results show that: among the 16 districts in Beijing, Chaoyang and Haidian districts have the highest level of safety resilience; the level of the degree of disaster tolerance among the multi-factors has the greatest impact on the level of urban safety resilience in Beijing; and the multifactorial comprehensive assessment model of urban resilience is able to reflect the urban resilience distribution, discover the weaknesses that exist in the development of urban safety and provide decision-making aids for the relevant city managers to carry out urban resilience construction.

Background COVID-19 and subsequent lockdowns had an impact on the mental health of students, who had already been identified as a vulnerable population prior to this pandemic. At the end of the first COVID-19 lockdown, 15% of students reported suffering from moderate to severe anxiety. Psychological resilience is defined as the ability to bounce back from a stressful event and has been shown to have a positive impact on mental health parameters. This study aimed to identify factors associated with low resilience in the student population of the Grand Est region of France, at the end of the first national containment related to COVID-19. Methods The PIMS-CoV19 study: A cross-sectional online survey was conducted among students at the University of Lorraine to collect sociodemographic data, living and learning conditions, as well as levels of resilience and perceived health. Bivariable and multivariable logistic regression analyses were performed. Model robustness was assessed using bootstrap resampling. Results Among 3708 students, 50.6% had normal resilience, while 37.3% reported low resilience. Female gender (OR = 2.1, 95% CI: 1.8-2.6) and low social support (OR = 1.7, 95% CI: 1.1-2.6) were the main risk factors for low resilience. Negative thoughts (OR = 1.4, 95% CI: 1.4-1.5), lower quality of relationships with people in general (OR = 1.5, 95% CI: 1.3-1.8), and studying arts, humanities, or languages (OR = 1.4, 95% CI: 1.0-1.8) were identified as risk factors. Increased age (OR = 0.9, 95% CI: 0.9-1.0) and flat sharing (OR = 0.6, 95% CI: 0.4-0.9) were protective factors against low resilience. Conclusions Resilience seems to be impacted primarily by internal and micro-environmental factors. Consolidating levels of individual resilience of at-risk populations by acting on these factors could be the key to improving their mental health. Key messages • Resilience seems to be impacted primarily by internal and micro-environmental factors. • Consolidating levels of individual resilience of at-risk populations by acting on these factors could be the key to improving their mental health.

Spatiotemporal evolution and influencing factors of urban resilience in the Yellow River Basin, China