Assessment methods of urban system resilience: From the perspective of complex adaptive system theory

Shi, Yijun; Zhai, Guofang; Xu, Li-Hua; Zhou, Shutian; Lu, Yuwen; Liu, Hongbo; Huang, Wei

doi:10.1016/j.cities.2021.103141

Cited by 95 publications

(42 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The establishment of an urban system is randomly affected by changes in the internal and external environment as a consequence of the nonlinear interaction of multiple factors such as economic and social change, cultural adaptation, and resource integration [ 1 ], which forms a complex and interconnected geographic entity [ 2 ]. At present, COVID-19 has caused immeasurable economic losses, social impacts, and casualties worldwide.…”

Section: Introductionmentioning

confidence: 99%

“…Uncertainty and unknown risks have gradually become bottlenecks that restrict urban survival and sustainable development and directly or indirectly threaten the safety and quality of life of urban residents. Maintaining the initial core structure and basic functions under various unpredictable disturbances and pressures [ 1 , 6 ], improving the adaptability of the urban system, enhancing resistance to shocks and the ability to recover from disasters, and minimizing the adverse effects of perturbation factors have become urgent issues in the process of urbanization [ 7 ]. China’s “14th Five-Year Plan” proposed building liveable, innovative, smart, green, humane, and resilient cities; enhancing the capacity of public facilities to cope with storms, droughts, and geological disasters; and improving emergency shelter functions in public facilities and buildings.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

Chen

Zhou

2021

IJERPH

View full text Add to dashboard Cite

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

Chen

Zhou

2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…It is usually measured by urban network structure resilience, focusing on the capacity of a city system to restore, maintain, or improve the original network characteristics and important functions in response to regional shocks [9]. With the acceleration of the process of urbanization, the uncertainties and unknown risks facing urban systems are also increasing [10]. Especially in the recent years, the sustainable development of cities has been seriously threatened by natural disasters, human disasters, the economy, the environment, safety, transportation, and society, which directly affect the life safety and quality of life of urban residents.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics and Resilience of Urban Network Structure during the Spring Festival Travel Rush: A Case Study of Urban Agglomeration in the Middle Reaches of Yangtze River in China

Wei

Pan

2021

Complexity

View full text Add to dashboard Cite

With the increasing trend of globalization, large-scale and diffuse population flow have become vital carriers characterizing users' spatial behaviors. Network analysis provides a new perspective to uncover the topology and evolution of the population flow and understand its influence on regional development. By gathering the Autonavi migration index during the Spring Festival travel rush (SFTR) in 2019, 2020, and 2021, the population flow networks among 31 cities of urban agglomeration in the middle reaches of the Yangtze River were constructed to analyze spatiotemporal dynamic characteristics and explore the structure resilience. Results show that although the changing trends of population flow during the 40-day SFTR of 2019, 2020, and 2021 are consistent, the population floating scale in 2020 and 2021 shows remarkable abnormalities before and after the Spring Festival due to the need for prevention and control of COVID-19. The intensity of population floating of the regional urban network in 2020 was the weakest, and Changsha became the focus of most population flow, while Wuhan was the most advantageous city in 2019 and 2021. As the third core city in the regional network, the siphon effect of Nanchang was still weak. A situation of tripartite confrontation in the region is formed. However, the higher intensity of population flow in 2021 increased the instability of the regional urban network, potentially exposing the region to higher risks and pressures. Therefore, it is necessary to pay more attention to the peripheral cities to improve regional resilience.

show abstract

“…The development of urbanization also increases uncertainties and risks, but urban systems are also resilient on a certain level against negative influences. The issue of urban resilience is also a complex issue and it should be treated by utilizing complex theories such as complex adaptive system theory [23], or, for example, a prediction-adaptationresilience (PAR) approach [24]. The complex theories are suitable for a holistic approach in complex urban reality explanation, but they require significant efforts in information acquisition, processing, analyzing and interpretation.…”

Section: Introductionmentioning

confidence: 99%

The Attractiveness of Urban Complexes: Economic Aspect and Risks of Environmental Pollution

Trifković

Kuburić

Nestorović³

et al. 2021

Sustainability

View full text Add to dashboard Cite

Urbanization and intensive economic activities and growth are closely related. On the other hand, the economic, especially industrial activities cause the pollution of urban areas. In spite of that risk for human health, people strive to live in conditions which offer more chances for improved quality of life. In this paper the connection between the economic chances and healthy risk issues are investigated. To determine the rate of attractiveness of urban complexes the authors introduced the relation between gross domestic product of urban area and the air quality index, called economic attractiveness of urban area. This ratio is quite stable because changes of gross domestic product per capita and air quality index are not expected to be too dynamic and unpredictable. Additionally, the errors in the measuring of gross domestic product and air quality index are quite small and could not affect the result significantly. The results showed that correlation between gross domestic product and air quality index is negative, i.e., that higher gross domestic product per capita (GDP/c) is related with lower air quality index which means greater quality of air. In addition, the coefficient of economic attractiveness showed that urban areas with highest gross domestic product do not have to be the most attractive areas if the air quality index is higher.

show abstract

Assessment methods of urban system resilience: From the perspective of complex adaptive system theory

Cited by 95 publications

References 33 publications

Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

Spatiotemporal Characteristics and Resilience of Urban Network Structure during the Spring Festival Travel Rush: A Case Study of Urban Agglomeration in the Middle Reaches of Yangtze River in China

The Attractiveness of Urban Complexes: Economic Aspect and Risks of Environmental Pollution

Contact Info

Product

Resources

About