Coupling Coordination Development of New-Type Urbanization and Cultivated Land Low-Carbon Utilization in the Yangtze River Delta, China

Zhang, Yue; Dai, Yaqiang; Chen, Yuanyuan; Ke, Xinli

doi:10.3390/land11060919

Cited by 17 publications

(12 citation statements)

References 69 publications

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“…The matrix formed from the standardized data is denoted by Y = Y ij m×n . Since indexes can be positive or negative, the specific standardization formulas are as follows [53]:…”

Section: Methodology 41 Calculate the Comprehensive Development Level...mentioning

confidence: 99%

Evaluating the Comprehensive Development Level and Coordinated Relationships of Urban Multimodal Transportation: A Case Study of China’s Major Cities

Dong

2022

Land

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Urban multimodal transportation effectively meets the diversified travel demand of residents. However, it also generates extensive development problems such as traffic congestion, exhaust emissions and low operational efficiency. Therefore, there is an urgent need in urban sustainable development to achieve the coordinated and stable development of various modes of transportation. In this study, we took 36 major cities in China as the research object; measured the comprehensive development level of urban multimodal transportation; used the coupling coordination degree model (CCDM) to research the coordinated development relationship among buses, rail transit, and taxis; and clarified the shortcomings of the coordinated development of multimodal transportation. The results show that the comprehensive development of urban multimodal transportation in China has shown a significant upward trend from 2016 to 2020, with an average annual growth rate of about 7.36%. There are significant differences in the development levels of multimodal transportation in different cities. In addition, the relationship among buses, rail transit, and taxis in the major cities in China presents a state of uncoordinated development. Therefore, the relevant departments of cities should optimize the allocation of transportation resources, in terms of infrastructure construction and operation, according to these development levels and coordination of multimodal transportation.

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“…The matrix formed from the standardized data is denoted by Y = Y ij m×n . Since indexes can be positive or negative, the specific standardization formulas are as follows [53]:…”

Section: Methodology 41 Calculate the Comprehensive Development Level...mentioning

confidence: 99%

Evaluating the Comprehensive Development Level and Coordinated Relationships of Urban Multimodal Transportation: A Case Study of China’s Major Cities

Dong

2022

Land

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“…Step 1 Data Standardization: In order to eliminate the differences in units and orders of magnitude among the different indexes, we firstly standardize the original data. The specific method is as follows [36]:…”

Section: A: Calculating the Index Weights Of The Tcc And Hsr Network ...mentioning

confidence: 99%

“…The coupling coordination degree reflects the degree of coordination development between systems [36]. A high degree of coupling coordination indicates that there is a state of coordinated development among the systems, which could be reflected in mutual promotion of the EFC, SCC, ECC and HSR network.…”

Section: ) Coupling Coordination Degree Modelmentioning

confidence: 99%

Research on the Coupling Coordination Relationship Between Tourism Carrying Capacity and the High-Speed Railway Network: A Case Study in China

Luo

Gao

2023

IEEE Access

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The rapid development of the high-speed railway (HSR) network has significantly improved the tourism traffic conditions, which has led to a large increase in the number of tourists. This has posed a new challenge for the tourism carrying capacity (TCC) of tourist attractions along the HSR. The purpose of this paper is to measure the development level of TCC and HSR network, and to study the coupling and coordinated development relationship between TCC and HSR network. The development level of TCC and HSR network is calculated respectively. The coupling coordination model is used to study the coupling and coordinated relationship of provincial TCC and HSR network. The results show that this coupling coordination relationship has an overall upward trend. However, the degree of development of the TCC in different provinces and cities is uneven, and the development advantages and disadvantages of the TCC are also different. The development level of the HSR network in most provinces and cities in China is lower than the level of TCC, which indicates that further increasing the construction of the HSR network will have a better marginal effect for the development of the tourism industry in China. Therefore, it is extremely important for China's provinces and cities, especially in key tourism areas, to promote the coordinated development of the HSR network capacity and TCC. At the same time, in the areas where the development level of HSR network is higher than the level of TCC, measures should be taken to increase the protection of tourism resources and the construction of tourism infrastructure, so as to avoid the destructive impact of the fast-growing number of tourists on the development of local tourism industry.INDEX TERMS High speed railway network, tourism carrying capacity, tourism industry, combination weighting method, coupling coordination model.

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“…3b, 3c). However, the spatial pattern of urbanization changed from a unipolar concentration to a multipolar distribution from 2005 to 2020, with the rapid urbanization growth in provincial capitals such as Hangzhou and Hefei, bolstered by policy support (Zhang et al, 2022).…”

Section: Coordination Between Urbanization and Lcdmentioning

confidence: 99%

Spatiotemporal patterns and driving factors of green and low-carbon urbanization in the Yangtze River Delta region, China

Huang,

Kuai,

Wang

2023

Preprint

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Green and low-carbon urbanization (GLCU) stands as a key objective within the realm of urban sustainable development. The extent of coordination between urbanization and low-carbon development determines the level of GLCU. However, the complex driving mechanism of GLCU has not garnered the required attention within the existing of literature. In light of this, the present paper introduces a multi-dimensional comprehensive evaluation framework aimed at assessing the level of GLCU. Specifically, it delves into the spatial-temporal characteristics and driving forces that underpin GLCU. The results indicate that the level of GLCU evolved from low coordination to moderate coordination from 2005 to 2020 in the Yangtze River Delta region. Yet, the trade-off between urbanization and low-carbon development still exists. The surge in population density and economic prosperity emerged as the principal positive drivers of GLCU, while the carbon emissions intensity exerted a negative influence. Furthermore, the effect of industrial structure shifted from a positive driver to a negative one. The effects of these drivers upon GLCU varied at different urbanization stages and determined the patterns of urban development, indicating that policies for sustainable development should be tailored for the cities at different urbanization stages.

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Coupling Coordination Development of New-Type Urbanization and Cultivated Land Low-Carbon Utilization in the Yangtze River Delta, China

Cited by 17 publications

References 69 publications

Evaluating the Comprehensive Development Level and Coordinated Relationships of Urban Multimodal Transportation: A Case Study of China’s Major Cities

Evaluating the Comprehensive Development Level and Coordinated Relationships of Urban Multimodal Transportation: A Case Study of China’s Major Cities

Research on the Coupling Coordination Relationship Between Tourism Carrying Capacity and the High-Speed Railway Network: A Case Study in China

Spatiotemporal patterns and driving factors of green and low-carbon urbanization in the Yangtze River Delta region, China

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