Assessment of urban resilience based on the transformation of resource-based cities: a case study of Panzhihua, China

Yang, Yong; Fang, Yiping; Xu, Yixin; Zhang, Yike

doi:10.5751/es-12280-260220

Cited by 22 publications

(9 citation statements)

References 35 publications

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“…Nonetheless, our study found that the industrial structure between cities along the YREB's lower reaches is required to be optimized, and TI's development needs to continue to increase (Cui et al, 2021). Secondly, education investment symbols the development potential of the city from the perspective of social development (Yang et al, 2021a), and wage income indicates the development status of the city. The more unbalanced the investment in education and residents' income, the ability to resist external shocks will be weaker (Hahn et al, 2017;Lewin et al, 2018).…”

Section: Fig 8 Spatial Differentiation Of Ur Along the Yreb's Lower Reachesmentioning

confidence: 83%

Evaluate Urban Resilience in Light of Water Resources and Identify Critical Driving Factors-a Case Study from the Yangtze River Economic Belt's Lower Reaches

Song

et al. 2022

Preprint

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The acceleration of urbanization created a series of problems such as water shortage crisis and serious water pollution which brought the vulnerability of urban water resources, thus affected the economic and social development of city and increased risk of external impact on the urban system. Therefore, improving urban resilience (UR) from the viewpoint of water resources plays an essential role in resisting external shocks. Our paper based on 21 cities along the Yangtze River Economic Belt’s (YREB) lower reaches relevant data from 2010 to 2018, constructs a new UR evaluation framework of “Economy-Society-Infrastructure-Water Resources”. Then the Projection Pursuit Evaluation Model of Real Coding based on Accelerating Genetic Algorithm (RAGA-PP) is used to measure the UR scientifically, Geographic Detectors (GD) method detected and analyzed the UR driving factors. The results present that: (1) The general level of UR in study area was low and characterized by attenuation from central cities to marginal cities, among them Shanghai is the highest (0.651), while Chizhou is the lowest (0.178). The resilience of cities along the YREB’s lower reaches shows a downward trend. (2) Compared with the UR without considering water resources, the UR from the perspective of water resources is relatively higher. Which means that cities along the YREB’s lower reaches have enhanced their ability to deal with external pressure and impact from the perspective of water resources. (3) Water resources and Infrastructure were two factors affected the spatial diversity of UR along the YREB’s lower reaches in 2018 and their average explanatory power of factors increased by 30.610% and 139.035% respectively; the explanatory power of Economy (5.270%) and Society (1.342%) were relatively smaller. With these findings our paper provides relevant suggestions to enhance UR along the YREB’s lower reaches from the perspective of water resources.

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Section: Fig 8 Spatial Differentiation Of Ur Along the Yreb's Lower Reachesmentioning

confidence: 83%

Evaluate Urban Resilience in Light of Water Resources and Identify Critical Driving Factors-a Case Study from the Yangtze River Economic Belt's Lower Reaches

Song

et al. 2022

Preprint

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“…income, fisherman's catch; Björkvik et al, 2020; Hänke et al, 2017). We used a composite system state index to aggregate state variables and trace the development trajectories of a social–ecological system; the lower the index, the more undesirable the system state, and vice versa (Yang et al, 2021). Using the abrupt point detection method (Verbesselt, Hyndman, Newnham, et al, 2010; Verbesselt, Hyndman, Zeileis, et al, 2010), the development trajectory of a system can be divided into different change periods.…”

Section: Methodsmentioning

confidence: 99%

“…Six core system state indicators were used to obtain the composite system state index that includes: the net income per capita of rural households, the ecosystem goods supply indices (grain, fruits, oil crops and cotton) and the sediment load of the Yellow River. These indicators were first normalized using the MAX‐MIN method (Equations 2 and 3), which allows for comparability (Yang et al, 2021). We set the maximum normalized value at 0.996 and the minimum normalized value at 0.002.…”

Section: Methodsmentioning

confidence: 99%

“…Within this framework, we integrate the comprehensive assessment approach (e.g. resilience assessment; Silva et al, 2020; Yang et al, 2021) and social–ecological network approach (Kluger et al, 2020) to track the path of development of a system and capture social–ecological interactions. We demonstrate the applicability of this framework to study the rural social–ecological system on China's LP from 1949 to 2020.…”

Section: Introductionmentioning

confidence: 99%

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Escaping social–ecological traps through ecological restoration and socioeconomic development in China's Loess Plateau

Wang

et al. 2023

People and Nature

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The social–ecological trap is an emerging concept that describes situations in which self‐reinforcing social and ecological feedbacks maintain or push a social–ecological system towards an undesirable state and threaten the sustainability of human societies. Understanding a system's feedback loops and identifying the leading factors of such traps is essential to develop effective management strategies to warn, avoid and escape traps. To better understand the dynamics of social–ecological traps, we developed a quantitative diagnostic framework that combines the social–ecological network approach and composite system state index. We demonstrated the effectiveness of the framework by examining the rural social–ecological evolution in China's Loess Plateau (LP) from 1949 to 2020, an area once faced with severe social–ecological challenges such as soil erosion, land degradation and poverty. Our analysis identified three stages of trap dynamics in LP: locked in the trap (1949–1981), reacting to the trap (1981–2003) and escaping the trap (2003–2020). In the first stage, LP was locked into an undesirable trajectory where reinforcing feedback occurs between rapid population growth, limited livelihood opportunities, excessive reliance on agriculture and severe soil erosion. Our results also found that the LP has made significant progress in escaping this social–ecological trap during the 21st century through ecological restoration practices and socioeconomic development. Similar social–ecological traps are also observed in many other regions of the world, particularly in developing countries. Our analysis recommends three pathways for addressing social–ecological traps in the LP: (1) promoting urbanization and livelihood diversity, (2) implementing site‐specific engineering measures (e.g. terraces and check dams in the LP) and (3) investing in ecological restoration programs. Escaping the trap is not the end of the story, but could be an early stage of another trap. Policymakers and managers should keep assessing and monitoring the policy practices and outcomes to avoid entering new trap situations. Read the free Plain Language Summary for this article on the Journal blog.

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“…Xun et al[53]; Chen et al[72];Yang et al[73]; Assarkhaniki et al[74];Zhu et al[75], etc.Social resilience Social capital; Population density; Educational status; Number of doctors in the public health system; Health technicians per 10,000 people; Pupil-to-teacher ratio at public schools; Per capita post and telecommunications business volume; Number of doctors per 10,000 population, etc. Zhou et al [43]; Xun et al [53]; Chen et al [72]; Assarkhaniki et al [74]; Zhu et al [75]; Qasim et al [76]; Chen et al [54], etc.…”

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confidence: 99%

Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China

Xiong

Zou

et al. 2022

Sustainability

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In the context of accelerated urbanization, constructing resilient cities is an effective approach to tackling risks, such as extreme weather, and various urban challenges. The coupling and coordinated development of urbanization and urban resilience is a prominent embodiment of urban sustainable development and high-quality development capacity. In this study, Hunan Province, China, which is frequently affected by various disasters, is selected as a representative for examining the coupling and coordination relationship between urban resilience and urbanization level. The panel data are adopted to construct a dual-system evaluation framework integrating urban resilience and urbanization level based on the entropy weight-coefficient of variation (CV)-CRITIC method. The coupling coordination degree of this dual-system evaluation framework is calculated with the coupling model in physics and GM (1, 1) grey prediction model. Additionally, the spatial–temporal evolution characteristics of the coupling coordination degree are investigated and analyzed by ArcGIS and Geoda software. The following are indicated from the results: (1) The resilience of all cities is related to their geographical location and is characterized by a decrease from east to west; in addition, the resilience level of most cities presents a downward trend with time. (2) The urbanization level of most cities develops stably with time, but there is a growing gap in the urbanization level between regions. (3) There is a strong correlation between urban resilience and urbanization level in all cities; the unbalanced coupling and coordinated development emerge, specifically manifested by the polarization phenomenon. Eventually, a circle-difference spatial distribution pattern that starts from the central urban agglomeration and gradually decreases to the periphery is formed. (4) The prediction results of the coupling coordination degree suggest that there is an increasingly distinct polarization trend for the coupling and coordinated development between cities, and it is necessary to pay attention to those cities with a declined predicted value. (5) There is a significant positive spatial autocorrelation and agglomeration effects in the distribution of the coupling coordination degree of all cities, and the correlation is getting stronger with each passing year; the correlation mode is mainly characterized by homogeneity and supplemented by heterogeneity. Finally, several suggestions are proposed in this paper, in an attempt to lead the coordinated development of regions by novel urbanization and thus promote the sustainable development of cities. The methods and insights adopted in this study contribute to investigating the relationship between urban resilience and urbanization in China and other regions worldwide.

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Assessment of urban resilience based on the transformation of resource-based cities: a case study of Panzhihua, China

Cited by 22 publications

References 35 publications

Evaluate Urban Resilience in Light of Water Resources and Identify Critical Driving Factors-a Case Study from the Yangtze River Economic Belt's Lower Reaches

Evaluate Urban Resilience in Light of Water Resources and Identify Critical Driving Factors-a Case Study from the Yangtze River Economic Belt's Lower Reaches

Escaping social–ecological traps through ecological restoration and socioeconomic development in China's Loess Plateau

Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China

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