Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region

Qiu, Guoqiang; Wang, Yinghong; Guo, Shanshan; Niu, Qinghe; Qin, Lin; Zhu, Di; Gong, Yang

doi:10.3390/su14042286

Cited by 13 publications

(5 citation statements)

References 47 publications

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“…The Vensim PLE 7.3.5 software was employed to construct the System Dynamics model of land use change in the study area (Figure 3). The System Dynamics (SD) model developed in this research comprises four primary subsystems: economic; population; climate; and land use [59]. By utilizing land use, socioeconomic, and meteorological data from Ankang City spanning the years 2000 to 2020, the study examines the feedback and interaction relationships among each subsystem and variable.…”

Section: System Dynamics Modelmentioning

confidence: 99%

Future Land Use Spatial Conflicts and Habitat Quality Impacts Based on SSPs-RCPs Scenarios—Qin-Ba Mountain City

Li,

Cheng,

Wang

et al. 2023

Land

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In the future, the pursuit of high-quality economic development and a focus on ecological environmental protection in China will inevitably result in significant conflicts between land use and ecological land use. Land use conflicts primarily occur in peri-urban areas characterized by prominent economic development and urban agglomeration. As a municipality situated in the Qin-Ba mountainous region, Ankang has been promoting ecological preservation for a span of two decades. The allocation of construction areas primarily focuses on the proximity of watersheds, while the northern and southern regions are predominantly characterized by mountainous and hilly terrain, thus exhibiting distinct regional attributes. Previous studies have mainly focused on analyzing the effects of land use on habitat quality during intense urbanization, with fewer studies focusing on integrating eco-regions with urbanization to assess changes in habitat quality. However, it is important to recognize that land pressure encompasses economic, ecological, and social aspects. Additionally, it aims to provide insights for the harmonious development of land use in eco-region-oriented cities. Using the SSPs-RCPs scenarios provided by the sixth phase of the Coupled Model Intercomparison Project (CMIP6), this paper employs a system analysis method, the emerging Patch-Generating Land Use Simulation model (PLUS) model, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and Land Use Conflict Measurement model to dynamically simulate the future habitat quality and spatial conflict patterns of land use in Ankang City. The study explores the spatial coupling effect of both factors under different scenarios. The results indicate the following: (1) The overall development trend reveals an intensification of land use conflicts and a decrease in habitat quality. The expansion rate of construction land is increasing and exhibiting aggregation, while agricultural land area is expanding, and forest land area is continuously decreasing. (2) Land use intensity exhibits a significant positive correlation with land conflict levels, while land conflict levels demonstrate a significant negative correlation with habitat quality. (3) Under different future shared socioeconomic path scenarios, land use intensity, and land conflict levels follow the order of SSP585 (high forcing scenario), SSP370 (medium to high forcing scenario), SSP245 (medium forcing scenario), and SSP126 (low forcing scenario), with intensity and conflict decreasing accordingly. These findings suggest that land use has had some impact on the ecological environment, with indications of habitat degradation. Even in Ankang, where ecological development is highly valued, the city will gradually face conflicts between ecological protection and economic development in future scenarios. The city already has the environment at heart, so it will be worse in cities where the priority is economic development. Therefore, it is crucial to allocate sufficient space for economic development while simultaneously prioritizing ecological protection. The results of the study can provide a reference for analyzing the trade-offs between land development and habitat protection in eco-mountainous cities and for eco-cities to avoid falling into the conflict dilemma of economic cities.

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Section: System Dynamics Modelmentioning

confidence: 99%

Future Land Use Spatial Conflicts and Habitat Quality Impacts Based on SSPs-RCPs Scenarios—Qin-Ba Mountain City

Li,

Cheng,

Wang

et al. 2023

Land

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“…We fit the urban land density functions with MATLAB R2018a. The density from the city center for five different sized cities has been modelled using Equation (3).…”

Section: Urban Land Density Functionmentioning

confidence: 99%

“…Urbanization has entered into a rapid development period in the 21st century and urban expansion, as an important symbol in the process of urbanization, has become a hot topic of urban geography [1]. In the early discussion of urban expansion, there is often no associated definition and connotation, and it is objectively described as additional residential, industrial, and commercial urban land moving away from the city center [2], or defined as when two cities are close together and the rural space in between is embellished with new development [3]. Since the end of the last century, some scholars have defined urban expansion as an inefficient urban expansion process from the perspective of urban land use efficiency [4,5], and they formed a definition of urban expansion with a "pessimistic" color [6,7].…”

Section: Introductionmentioning

confidence: 99%

Urban Expansion Assessment Based on Optimal Granularity in the Huaihe River Basin of China

et al. 2022

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Determining the optimal granularity, which has often been ignored in the analysis of urban expansion and its landscape pattern, is the core problem in landscape ecology research. Here, we calculate the optimal granularities for differently sized cities in the Huaihe River Basin of China based on scale transformation and area loss evaluation. Accordingly, we construct a landscape index and urban land density function to analyze urban expansion and landscape pattern. The results can be summarized as follows. (1) Within the first scale domain of the landscape indices, the optimal granularities of Zhengzhou, Xuzhou, Yancheng, Xinyang, and Bozhou are 60 m, 50 m, 40 m, 40 m, and 40 m, respectively, which are the optimal units in the study of urban expansion. (2) The urban land density decreases from the urban center to the outskirts, the urban core of each city is more compact than the outskirts, and the land density curve parameter α of Zhengzhou is the largest at 4.693 and its urban core the most compact. (3) There are significant spatial and temporal differences in the urban land densities of differently sized cities. The urban land density functions of different cities are similar before 2000; after that, they are similar to the standard inverse S-shaped function and the land use density curve of large cities is closer to the standard inverse S-shaped function than that of small- and medium-sized cities. (4) Large cities have faster expansion, much larger land density curve parameter c than medium- and small-cities, stronger linkage development with surrounding areas, and a higher degree of urban centralization. Urban expansion compactness was influenced by urban locations and functions except for urban sizes. This study offers a method for identifying the optimal granularities for differently sized cities and also provides information for the decision-making efforts that concern the rapid urbanization in major grain-producing areas of China.

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“…They calculated the land use of that area in terms of complexity, vulnerability, and stability. Aspects of calculating the spatial and temporal characteristics of land use conflicts in the region [15]. This paper first constructed the ecological economic toughness measurement index system of tourism cities according to the principles of scientificity and relevance.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal evolutionary analysis of ecological economic resilience in typical Chinese tourist cities

Zhao

2024

Applied Mathematics and Nonlinear Sciences

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In recent years, China’s tourism sector has experienced rapid growth. Ecological economic resilience, a crucial metric for assessing urban comprehensive strength, has increasingly garnered attention from academics and governmental bodies. In this study, we assess the resilience of tourism cities’ ecological economies using 28 selected indicators. By employing the entropy value method, we establish the weights for these indicators, facilitating an exploration of their temporal evolution. Spatial evolution characteristics are examined through spatial autocorrelation analysis, incorporating the global Moran’s I index. Utilizing a coupled coordination model, we calculate the ecological, economic resilience, and urban tourism development levels across various cities. Our findings indicate a significant increase in ecological resilience, rising from 0.2129 in 2014 to 0.2807 in 2023. The Moran’s I index rises from the trough value of 0.0532 to the peak value of 0.0951 and then steadily declines to 0.0738, presenting a fluctuating trend of alternately increasing and decreasing development. The coupling coordination degree is more significant than 0.5 in 2023, which is at a highly developed stage. This study serves as a reference for the sustainable development of urban tourism.

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Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region

Cited by 13 publications

References 47 publications

Future Land Use Spatial Conflicts and Habitat Quality Impacts Based on SSPs-RCPs Scenarios—Qin-Ba Mountain City

Future Land Use Spatial Conflicts and Habitat Quality Impacts Based on SSPs-RCPs Scenarios—Qin-Ba Mountain City

Urban Expansion Assessment Based on Optimal Granularity in the Huaihe River Basin of China

Spatio-temporal evolutionary analysis of ecological economic resilience in typical Chinese tourist cities

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