Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

Liu, Ke; Xie, Xinyue; Zhou, Qian

doi:10.3390/land10121313

Cited by 9 publications

(5 citation statements)

References 67 publications

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“…2008) that consider the amount of water needed to produce or consume products and services for specific groups of people (Jeswani and Azapagic 2011); and the addition of new pollutant accounts, increasing the impact of gas, solid, and liquid pollutants on regional carrying capacity (Tian et al. 2012; Liu 2017). Improvement of the calculation method: Based on the EF model from the traditional comprehensive method (Wackernagel and Rees 1996), the calculation of the ecological footprint per capita will use data from residents' daily life consumption, industrial energy consumption, and domestic production waste emissions (Odum 1987; Zhao et al.…”

Section: Methodsmentioning

confidence: 99%

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Determining the Regional Carrying Capacity of the Wuhan City Circle Based on the Improved Ecological Footprint Method

Xiao

et al. 2021

J American Water Resour Assoc

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This study builds upon the traditional ecological footprint model by adding two new accounts of resource flows and using two new calculating method. This first account concerns water resources and accounts for water consumption in cities. The second account tracks basic types of pollutant accounts. Energy theory and net primary productivity were used to calculate the ecological footprint. Aiming at the problem of application in city, a city hectare spatial scale was used and a regional carrying capacity correction parameter was referenced. This framework provides insight into calculations of the bearing capacity of certain areas. The Wuhan City Circle was used as a case study with the objectives of calculating the ecological footprint and regional carrying capacity and analyzing its spatiotemporal evolution and capacity for sustainable development. The results indicated that from 2000 to 2015, the average annual rate of decline of the carrying capacity of the Wuhan City Circle was 9.18%, and from 2015 to 2017, the average annual rate of increase was 38.91%. The ecological footprints of fossil energy and build‐up land accounts increased over the years, exposing problems with land and energy utilization in the Wuhan City Circle. The continuous decline of the water resources carrying capacity reminds policy makers to pay attention to the protection of water areas. These results can help policy makers integrate historical data to adjust existing plans and make more specific future plans.

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Section: Methodsmentioning

confidence: 99%

“…Calculating pollutant absorption requires the absorption capacity of a given land or water area per unit area. Results in this paper are mainly based on the concept used in Liu Qiankun's pollutant footprint (Liu 2017). Results from Xie et al.…”

Section: Ecological Footprint Calculation In the Wuhan City Circlementioning

confidence: 99%

Determining the Regional Carrying Capacity of the Wuhan City Circle Based on the Improved Ecological Footprint Method

Xiao

et al. 2021

J American Water Resour Assoc

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“…According to the degree of proximity to the water body, waterfront space can be divided into five parts from near to far: water space, waterfront space, waterfront road, waterfront hinterland, and inner-city functional area. Referring to related literature [39][40][41] and based on the limited attractiveness of waterfront space and the activity cost of citizens, the waterfront space studied in this paper is initially defined as waterfront space, waterfront road, and waterfront hinterland that are adjacent to the water space (Figure 1a).…”

Section: Study Areamentioning

confidence: 99%

Identification of Critical Areas of Openness–Vitality Intensity Imbalance in Waterfront Spaces and Prioritization of Interventions: A Case Study of Xiangjiang River in Changsha, China

Zhou,

Yang,

et al. 2024

Land

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To alleviate the contradiction between high-density urban spatial environments and high-frequency citizens’ activities, it is vital to determine the degree of openness of waterfront space, figure out the matching relationship between spatial openness and vitality intensity, identify imbalanced spatial zones and divide the order of intervention, and compensate for the limitations of subjective judgment in traditional planning decisions. This paper uses the Changsha Xiangjiang River waterfront space as a research sample based on multi-source data. It constructs the evaluation indicators system and research framework for the degree of openness of waterfront space. Then, by evaluating the openness and vitality intensity of the waterfront space and adopting the quadrant division method, waterfront space zones with a mismatched openness and vitality intensity were identified. Finally, planning interventions are prioritized based on a priority index. The results show the following: (1) The openness and vitality of the waterfront space of Xiangjiang River show the spatial distribution characteristics of “high in the middle and low in the north and south” and “high on the east bank and low on the west bank”. (2) Fifteen low-quality waterfront spatial zones with “low vitality intensity and low openness” and one with a severe imbalance of “low openness–high vitality intensity” were identified. These waterfront spatial zones cannot meet the requirements for the high-quality development of waterfront space. (3) The study delineates five priority levels for planning interventions. Among them, three waterfront space zones belong to priority V, mainly distributed north and south of the Xiangjiang River. Five waterfront spatial zones belonging to priority IV are concentrated in the middle of the Xiangjiang River. The above areas need to be prioritized for improvement to accurately promote the overall balanced development of the waterfront space.

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“…With the increasing contradiction between economic and social development and resource and environmental protection, conflict analysis was introduced into land use and ecological protection, and the concepts of land conflict, land use conflict and space conflict were also put forwards. Among them, spatial conflict originates from the scarcity of spatial resources and spillover of spatial functions, and is a phenomenon of distribution opposition resulting from the competition of spatial resources in the process of man-land relationships [37,38]. Studies on spatial conflicts mainly focus on potential conflict identification, conflict level measurement, analysis of influencing factors, disclosure of evolutionary processes and coordinated governance [26,[39][40][41].…”

Section: Study On the Conflict Of The Plesmentioning

confidence: 99%

Spatial Transformation Characteristics and Conflict Measurement of Production-Living-Ecology: Evidence from Urban Agglomeration of China

Wang

2022

IJERPH

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The land development by human beings has changed from the initial small-scale and low-level transformation to the comprehensive utilization of large-scale and high-intensity implementations. The contradiction between production-living-ecology space (PLES) has become increasingly prominent while drawing land dividends. As one of the important birthplaces of Chinese civilization and the ecological barrier in the northern region, the rapid urbanization and industrialization of the Yellow River Basin (YRB) make the ecological environment very fragile, and the imbalance of land and space development is extremely serious. Therefore, according to the multifunctional characteristics of land use, this paper establishes a classification system of production space (PS), living space (LS) and ecology space (ES), and discusses the spatiotemporal evolution and conflict distribution characteristics of the PLES with the help of the transfer matrix and spatial conflict index (SCI). The results are as follows. In 1990–2020, agricultural production space (APS), grassland ecology space (GES) and other ecology space (OES) yielded the largest proportion of PLES in the YRB. However, compared with 1990, the area of these spatial types decreased in 2020, while the urban living space (ULS) expanded rapidly. The distribution pattern of PLES was generally consistent, and the transformation between PLES in Ningxia, central Inner Mongolia, Loess Plateau and downstream areas was relatively intense. The conflict index of PLES showed an upward trend, but it was generally in a controllable range. The stable and controllable areas were concentrated in the upstream of the urban agglomeration, and the midstream and downstream were basic out of control and seriously out of control, respectively.

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Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

Cited by 9 publications

References 67 publications

Determining the Regional Carrying Capacity of the Wuhan City Circle Based on the Improved Ecological Footprint Method

Determining the Regional Carrying Capacity of the Wuhan City Circle Based on the Improved Ecological Footprint Method

Identification of Critical Areas of Openness–Vitality Intensity Imbalance in Waterfront Spaces and Prioritization of Interventions: A Case Study of Xiangjiang River in Changsha, China

Spatial Transformation Characteristics and Conflict Measurement of Production-Living-Ecology: Evidence from Urban Agglomeration of China

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