Spatial mismatch analyses of school land in China using a spatial statistical approach

Sun, Wei; Jin, Hongyu; Chen, Yan; Hu, Xin; Li, Zhouran; Kidd, Akari Nakai; Liu, Chunlu

doi:10.1016/j.landusepol.2021.105543

Cited by 8 publications

(15 citation statements)

References 42 publications

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“…Location models can be planar (the path between facilities and customers is assumed to be a straight line) or network (the actual road path between facilities and customers is considered) (ReVelle & Eiselt, 2005). Location‐related modeling has been used in a variety of applications, such as the spatial location of schools (Sun et al, 2021), commuting to school (Fjellborg & Forsberg, 2021), and health care facility location (Shoaib et al, 2022). Modeling a school system is an example of a network since it involves walking or driving distances (Bhaumik, 2010; Diamond & Wright, 1987).…”

Section: Literature Reviewmentioning

confidence: 99%

“…modeling has been used in a variety of applications, such as the spatial location of schools (Sun et al, 2021), commuting to school (Fjellborg & Forsberg, 2021), and health care facility location (Shoaib et al, 2022). Modeling a school system is an example of a network since it involves walking or driving distances (Bhaumik, 2010;Diamond & Wright, 1987).…”

Section: Mathematical Models In Policy Decisionsmentioning

confidence: 99%

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A sustainable decision‐making framework for school consolidation policy

Bhatnagar

Bolia

2023

Regional Science Policy & Practice

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Section: Literature Reviewmentioning

confidence: 99%

Section: Mathematical Models In Policy Decisionsmentioning

confidence: 99%

A sustainable decision‐making framework for school consolidation policy

Bhatnagar

Bolia

2023

Regional Science Policy & Practice

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“…In studying the strategic measures for promoting high-quality urban development in China, He et al [41] emphasized the importance of examining the mismatch phenomenon of land resource utilization from a supply-demand perspective and pointed out that addressing the problem of mismatch between supply and demand for land is the key to promoting high-quality urbanization in Chinese cities. Sun et al [42] adopted supply and demand as key variables in analyzing the mismatch phenomenon of school land space, and they found that the mismatch problems of school land over-supply and supply shortage are significant in some cities in China, and the developed cities have supply-shortage school clusters, while the underdeveloped cities are over-supplied school clustering areas.…”

Section: Literature Reviewmentioning

confidence: 99%

An Empirical Study on the Mismatch Phenomenon in Utilizing Urban Land Resources in China

Shen

Zhang

Bao

et al. 2023

Land

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Effective land use contributes to sustainable urban development. However, there are various reports suggesting that urban land resources used mismatch to different extents in many Chinese cities. This study measures the degree of the mismatch phenomenon in utilizing urban land resources from a supply–demand perspective, and a mismatching coefficient, namely land resource mismatch (LRM), is adopted as the measurement. The data used for the empirical analysis are from a sample of 35 cities in China. The empirical study shows the effectiveness of employing the mismatching coefficient LRM model in evaluating the degree of the mismatch phenomenon in utilizing urban land resources. The research findings suggest the following: (1) Overall, the mismatch phenomenon in utilizing urban land resources is significant in China in the form of either supply shortage or over-supply. (2) The degree of the mismatch phenomenon is different between different types of land, with the land for administration and public services showing more serious mismatching and the land for commercial and business facilities showing less mismatching. (3) There are significant differences both in the type and the degree of land use mismatch among different cities, which are contributed largely by the intensity of local government’s controlling and planning role on land resources and the maturity of applying market mechanisms. The results from this study can inform the government of the importance and necessity of adopting effective policy measures for mitigating the mismatch phenomenon in utilizing urban land resources. The research method applied in this study can be applied in a larger context internationally for understanding the effectiveness of utilizing urban land resources.

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“…The spatial mismatch model has a wide application value. On the basis of the research on the spatial separation of urban-population occupation and residence, it has been subsequently introduced into the research fields of urban land spatial allocation [59], spatial allocation of food resources and financial capital [60,61], development of tourism resources and scenic spots [62], and spatial distribution of education and health facilities [63,64] to provide a basis for land-use planning and spatial planning of health facilities. This paper analyzes the relationship between land supply and population demand in urban parks through spatial mismatch modeling to determine whether there is a negative phenomenon of oversupply (waste and inefficiency of land resources) or undersupply (unsatisfactory population demand, reduced green perception and experience).…”

Section: Spatial Mismatch Modelmentioning

confidence: 99%

Evolution Pattern and Spatial Mismatch of Urban Greenspace and Its Impact Mechanism: Evidence from Parkland of Hunan Province

Xing,

Zhao,

2023

Land

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Planners need to fully understand the quantity of land supply and its matching relationship with population demand, as these are prerequisites for urban greenspace planning. Most papers have focused on single cities and parks, with little attention paid to comparative analysis between multiple cities on a macro scale, ignoring the influence of spatial effects and leading to a lack of basis for regional green infrastructure planning. This paper selected 102 cities in Hunan province as case studies to comprehensively conduct empirical research using the spatial mismatch model and the geographically weighted regression method. The urban parkland in Hunan province are characterized by significant spatial heterogeneity and correlation, and the mismatch between land supply and population demand should not be ignored, with oversupply and undersupply co-existing. The urban parkland and its mismatch with population are influenced by a number of factors, and each factor has a stronger influence on the latter than the former. Different factors vary widely in the nature and intensity of their effects, and the dynamics are more complex. Economic development, financial capacity, and air quality are key factors, with the former having a negative impact and the latter having opposite (positive) effects. We suggest that when the government allocates land resources and targets for urban parks, it should formulate a differentiated allocation plan based on the supply and demand conditions of each city; besides, it should also place emphasis on regional integration and coordination and support mutual cooperation.

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Spatial mismatch analyses of school land in China using a spatial statistical approach

Cited by 8 publications

References 42 publications

A sustainable decision‐making framework for school consolidation policy

A sustainable decision‐making framework for school consolidation policy

An Empirical Study on the Mismatch Phenomenon in Utilizing Urban Land Resources in China

Evolution Pattern and Spatial Mismatch of Urban Greenspace and Its Impact Mechanism: Evidence from Parkland of Hunan Province

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