Coupling or contradiction? The spatiotemporal relationship between urbanization and urban park system development in China

Wu, Songze; Wang, Dongyan; Yan, Zhenzhen; Wang, XingJia; Han, Jiaqi

doi:10.1016/j.ecolind.2023.110703

Cited by 9 publications

(2 citation statements)

References 66 publications

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“…To clarify the collaborative development level of U-L, the degree of relative development model [43] is further used to determine the relative advantages of U-L coupling, and the formula is as follows:…”

Section: Relative Degree Of Development Modelmentioning

confidence: 99%

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Wan,

Bao,

2024

Sustainability

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Faced with the characteristics of multifactor coupling and interweaving along the railway lines in the southwestern mountainous areas of China, researching the coupling mechanism and optimizing the collaborative development path between alignment designs and the resource environment is conducive to promoting the green and sustainable development of railways in these southwestern mountainous areas. In this study, first, regarding the environmental characteristics of engineering along the railway lines in the southwestern mountainous area, the key elements of the interaction and coercion between the alignment design (internal system) and the resource environment (external system) are identified, and the interactive impact mechanism of the “alignment design–resource environment” complex is revealed. Accordingly, a nonlinear coupling mechanism between the alignment design system and the resource environment system is established using the deviation coefficient coupling degree model. Second, from a methodological perspective, following a technical path of “analyzing the coercive effects of internal and external factors–identifying coupling relationships–discovering coupling laws–screening driving factors–proposing optimization plans–achieving collaborative development goals”, we propose an overall optimization plan to solve the problem. Finally, the Chengdu Changdu section of the X railway, which is located in a southwestern mountainous area, is taken as an example for this study. The results indicate that if the state of the external system of the KL scheme is continuously improved through the regulation of the u22 (crossing the ecological protection red line length), u23 (biodiversity impact), and u24 (ecosystem impact) indicators and that the internal structure of the line design is improved by optimizing the l12 (total length of bridges and tunnels) and l13 (number of stations) indicators, effectively driving the improvement in the u31 (land resource occupation) and u43 (land development intensity) indicators, the alignment design and resource environment will exhibit a mutually reinforcing coupling evolution trend and ultimately achieve an “alignment design–resource environment” composite system with higher quality coupling.

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Section: Relative Degree Of Development Modelmentioning

confidence: 99%

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Wan,

Bao,

2024

Sustainability

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“…The coupling coordination model serves as an effective tool for assessing the overall level of coordinated development in a region [51]. Analyzing the spatial matching and coupling coordination of park service supply and demand can provide a better foundation for optimizing park services.…”

Section: Coupling Coordination and Matchingmentioning

confidence: 99%

Demand-Led Optimization of Urban Park Services

Tong,

Qian,

et al. 2023

Forests

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As the demand for cultural and recreational services grows, the mismatch between the supply and demand of park services significantly affects residents’ well-being. Optimizing the spatial layout of park services is a focal point of urban park and green space research. Taking Hangzhou, Zhejiang Province, as a case study, this research analyzes the spatial patterns and balance of park service supply and demand. Utilizing the Grey Wolf Optimization Model optimized by the K-Nearest Neighbor Model (GWO-KNN), this study proposes construction objectives for optimizing park services. The results indicate the following: (1) significant differences exist in the park service demands of residents in different residential environments; (2) there is a noticeable spatial disparity in park service supply among various residential areas with an overall positive correlation between park service supply levels and resident demands, yet an imbalance exists; (3) this study categorizes spatial types into low-service coordination, high-service coordination, low-service imbalance, and high-service imbalance; (4) the GWO-KNN Model is applied with optimization objectives being the innovative aspect of this study. Strategies for each park category are proposed: emphasizing suburban park construction by utilizing surrounding green resources and adding diverse facilities; introducing facilities friendly to vulnerable groups to meet the needs of diverse populations; enhancing the complementary advantages between “new” and “old” cities by moderately increasing park sizes and improving cultural and facility development levels; optimizing spatial structure with limited land resources to construct an urban park network system. This study aims to provide theoretical and technical support for optimizing urban park and green space systems.

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The impact of urbanization on the alleviation of energy poverty: Evidence from China

Qi,

Chen,

Wang

et al. 2024

Cities

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Coupling or contradiction? The spatiotemporal relationship between urbanization and urban park system development in China

Cited by 9 publications

References 66 publications

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Demand-Led Optimization of Urban Park Services

The impact of urbanization on the alleviation of energy poverty: Evidence from China

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