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result(s) for
"urban resilience"
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Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model
2021
Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability that must be strengthened for urban development in the context of normal epidemic. Based on the multi-dimensional perspective, entropy method and exploratory spatial data analysis (ESDA) are used to analyze the spatiotemporal evolution characteristics of urban resilience of 281 cities of China from 2011 to 2018, and MGWR model is used to discuss the driving factors affecting the development of urban resilience. It is found that: (1) The urban resilience and sub-resilience show a continuous decline in time, with no obvious sign of convergence, while the spatial agglomeration effect shows an increasing trend year by year. (2) The spatial heterogeneity of urban resilience is significant, with obvious distribution characteristics of “high in east and low in west”. Urban resilience in the east, the central and the west are quite different in terms of development structure and spatial correlation. The eastern region is dominated by the “three-core driving mode”, and the urban resilience shows a significant positive spatial correlation; the central area is a “rectangular structure”, which is also spatially positively correlated; The western region is a “pyramid structure” with significant negative spatial correlation. (3) The spatial heterogeneity of the driving factors is significant, and they have different impact scales on the urban resilience development. The market capacity is the largest impact intensity, while the infrastructure investment is the least impact intensity. On this basis, this paper explores the ways to improve urban resilience in China from different aspects, such as market, technology, finance and government.
Journal Article
Towards an Urban Resilience Index: A Case Study in 50 Spanish Cities
2016
Urbanization is a major driver of land use change and global environmental decline. With accelerated urbanization worldwide, it is essential to put in place new policies to conserve urban ecosystems, species and the services these provide in order to secure more sustainable, resilient and livable cities for the 21st century. In urban planning, the concept of resilience has broadly replaced the word sustainability. In recent years, resilience indicators have been gradually developed, but few address urban resilience from a social-ecological systems perspective. We develop a methodological framework to measure urban resilience, define an urban resilience index and apply it to Spanish province capitals as a case study. Results show that most Spanish province capitals are far from being resilient. We conclude that increased efforts to measure urban resilience should be in place, and we offer the urban resilience index as a theoretical framework for measuring resilience in urban social-ecological systems that can be gradually improved as more data become available.
Journal Article
Cities, climate change and public health : building human resilience to climate change at the local level
This book examines how cities can use a public health frame of climate change to boost people's understanding of and concern about climate change and increase policy support for climate adaptation efforts at the local level. It also presents new tools for cities to enhance awareness of and facilitate prioritization of climate risk management choices.
Assessing Community Perceptions on Urban Flood Resilience in Sri Lanka
by
Matsui, Kenichi
,
Hewawasam, Vindya
in
Analysis
,
Beliefs, opinions and attitudes
,
climate disaster
2022
Urban communities’ perceptions about flood disasters can help better understand the resilience level of specific communities. This paper examines community-specific flood resilience by looking at Sri Lanka’s most flood-prone areas: the Kolonnawa and Kaduwela divisional secretariat divisions of Colombo. We conducted field surveys and a questionnaire survey among 120 community members. The collected questionnaire data were then analyzed partly by conducting multiple regression analyses. The results of our research identify varied perceptions about flood vulnerability and resilience by the community. Overall, our respondents regarded flood incidents as a high-risk disaster to their livelihoods, but some communities appeared to have higher coping strategies than others within the same administrative division. The respondents generally perceived that proximity to flood sources would increase flood vulnerability and frequency. Compared to other communities, Sedawatta community experienced most frequent floods, and 93% lived within 100 m from the river. The respondents had taken measures to mitigate floods mostly by elevating houses. Through multiple regression analyses, we found that education, income, household structure, distance to flood sources, and flood frequency had significant correlations with flood resilience and vulnerability in varying degrees by community. In conclusion, we argue that government flood management policies focus more on community-specific needs.
Journal Article
Dataset on Citizens’ Perceptions of Urban Resilience: Survey Results from Veracruz—Boca Del Río Metropolitan Area, Mexico
by
Martínez-Cosío, María de los Ángeles
,
Vargas-Colorado, Alejandro
,
Zamora-Hernández, Abigail
in
Analysis
,
citizen’s perception
,
Coastal plains
2026
This paper presents a dataset developed to characterize the citizens’ perceptions of urban resilience applied to the Veracruz—Boca del Río Metropolitan Area (VBMA) in Mexico. The data were obtained by conducting online surveys, which were administered to a total of 147 subjects, including 89 from the municipality of Veracruz, 35 from Boca del Río, 15 from Medellín de Bravo, and 8 from Alvarado, with ages ranging from 16 years to over 61 years. The survey was designed to estimate the population’s perception of the Urban Resilience Index (URI) and the Urban Resilience Profile (URP). It was developed derived from a methodology based on IMPLAN and enriched with questionnaires from Villada and SEDATU, resulting in a final questionnaire comprising 10 axes, 33 indicators, and 156 variables. A novel contribution was implemented as a significant study case, which uses the dataset to estimate the URI and URP to the VBMA applying the Entropy Method, considering three criteria: age, gender, and municipality. Here, citizens’ perceptions about urban resilience have been estimated in an URI equal to 0.4571, resulting in a moderate level of resilience. Moreover, this perception could be improved by conducting a full-scale survey with substantial financial investment.
Journal Article
Resilience in urban ecosystems: interdisciplinary perspective, strategic blueprint, and innovative pathways for the cities of tomorrow
by
Jamal, Saleha
,
Ahmad, Wani Suhail
,
Atahar, Mohd
in
Authorship
,
bibliometric analysis
,
Bibliometrics
2025
Urban ecosystems are facing unprecedented challenges due to rapid urbanization, population growth, and climate change, necessitating a deep understanding of resilience strategies for sustainable urban development. In this systematic review, we employ co-occurrence analysis and bibliometric mapping techniques to explore the landscape of urban ecosystem resilience, focusing on key themes, emerging trends, and strategic pathways for future cities. Our analysis encompassed 418 keywords extracted from approximately 100 relevant publications, with a focus on keywords recurring at least three times, revealing critical areas such as sustainability, ecosystem resilience, and ecosystem services as prominent topics. Co-occurrence network maps provided insights into the interconnectedness of these themes, highlighting less-studied areas like urban nature, human well-being, and socio-ecological systems as ripe for further exploration. Furthermore, our bibliometric analysis of co-authorship revealed a robust network of researchers and scholars contributing to the discourse on urban ecosystem resilience and urban sustainability. Factors influencing city resilience and urban sustainability were identified, including population growth, urbanization, land use changes, climatic factors, socio-economic dynamics, ecosystem services, and environmental degradation. These factors interact intricately, impacting the resilience of urban ecosystems and necessitating holistic approaches to urban planning and development. Our findings underscore the urgency of addressing urban challenges through innovative solutions, technological advancements, and policy interventions. Strategies such as green infrastructure, carbon neutrality initiatives, and adaptive urban planning are crucial for enhancing urban ecosystem resilience and mitigating environmental risks.
Journal Article
Analysis of Urban Heat Island and Heat Waves Using Sentinel-3 Images: a Study of Andalusian Cities in Spain
2022
At present, understanding the synergies between the Surface Urban Heat Island (SUHI) phenomenon and extreme climatic events entailing high mortality, i.e., heat waves, is a great challenge that must be faced to improve the quality of life in urban zones. The implementation of new mitigation and resilience measures in cities would serve to lessen the effects of heat waves and the economic cost they entail. In this research, the Land Surface Temperature (LST) and the SUHI were determined through Sentinel-3A and 3B images of the eight capitals of Andalusia (southern Spain) during the months of July and August of years 2019 and 2020. The objective was to determine possible synergies or interaction between the LST and SUHI, as well as between SUHI and heat waves, in a region classified as highly vulnerable to the effects of climate change. For each Andalusian city, the atmospheric variables of ambient temperature, solar radiation, wind speed and direction were obtained from stations of the Spanish State Meteorological Agency (AEMET); the data were quantified and classified both in periods of normal environmental conditions and during heat waves. By means of Data Panel statistical analysis, the multivariate relationships were derived, determining which ones statistically influence the SUHI during heat wave periods. The results indicate that the LST and the mean SUHI obtained are statistically interacted and intensify under heat wave conditions. The greatest increases in daytime temperatures were seen for Sentinel-3A in cities by the coast (LST = 3.90 °C, SUHI = 1.44 °C) and for Sentinel-3B in cities located inland (LST = 2.85 °C, SUHI = 0.52 °C). The existence of statistically significant positive relationships above 99% (
p
< 0.000) between the SUHI and solar radiation, and between the SUHI and the direction of the wind, intensified in periods of heat wave, could be verified. An increase in the urban area affected by the SUHI under heat wave conditions is reported.
Graphical Abstract
Journal Article
Urban Flood Resilience Assessment of Zhengzhou Considering Social Equity and Human Awareness
2024
Flooding is one of the world’s most devastating natural disasters, and the effects of global climate change further intensify its impact. In the context of flood management, urban resilience emerges as a promising perspective. While existing urban resilience assessment systems predominantly encompass economic, social, ecological, and infrastructural factors, they often neglect crucial dimensions like social equity and human awareness. We aimed to assess urban flood resilience considering social equity and human awareness. We have developed an indicator system called the 3-Dimentional Disaster Urban Flood Resilience Index System (3D-UFRIS) to address the issue. We also introduced social media data to explore the use of big data in urban flood resilience assessment. Scrapy was used to collect data and AHP-EWM was used to calculate the results. Our findings reveal a layered distribution of urban flood resilience of Zhengzhou, categorized into five levels: highest, higher, medium, lower, and lowest resilience. Notably, the highest resilience areas, covering a mere 3.06% of the total area, were primarily situated in the Jinshui district, characterized by strong economic activity, high public awareness, and a history of waterlogging incidents. Conversely, the lowest resilience areas, encompassing the largest portion at 36%, were identified in Zhongmou County, Xinzheng, and Shangjie District, marked by lower public awareness and limited medical accessibility. This study presents a pioneering approach to comprehending urban disaster resilience, offering valuable insights into mitigating flood-related risks and enhancing urban planning strategies.
Journal Article