Distribution of primary school based on spatial network comprehensive model in low-income mountainous cities: a case study in Wanyuan, China

Yang, P.; He, Ran; Hou, Hai-bo

doi:10.1007/s11629-016-4316-5

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Since rural towns are mainly located in relatively flat, lower-elevation places, communities located at higher elevations and communities built on rugged terrain may become vulnerable to the school consolidation process. For example, following the rural primary school consolidation policy in China, primary schools in mountainous areas tend to be distributed in areas with low elevation and flat terrain [54,55]. Additionally, the cost of road construction increases with elevation and ruggedness, resulting in fewer miles of roads in rural areas with limited funding [32].…”

Section: Impacts Of Topography On School Accessibility In Rural Areasmentioning

confidence: 99%

Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China

Zhu

Zinda

Liu

et al. 2023

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In recent years, many developing countries have consolidated rural primary schools, closed small community schools, and enlarged centralized schools, which can reduce the accessibility of education to many communities. Meanwhile, expanding road networks may enable people in far-flung communities to access schools more easily. To evaluate the impacts of both trends on spatial justice in access to education, it is important to examine spatial patterns of primary school accessibility and their predictors. How do the topographic features of villages and surrounding landscapes correlate with primary school accessibility in rural upland areas? Using a digital map route planning application, this study evaluates the primary school accessibility of each village in Nanjiang County, a mountainous county in southwest China. By evaluating relationships between primary school accessibility and village characteristics, this study provides evidence corroborating frequent claims that rural remote mountainous areas have poor primary school accessibility. Additionally, by analyzing the effects of elevation and ruggedness of villages and of the zone between villages and schools as well as the mechanisms driving these effects, we find that, contrary to expectations, with increasing village elevation, a village’s primary school accessibility first decreases and then increases. The ruggedness of the terrain upon which a village is built has no significant effect. The ruggedness of the zone between a village and its nearest school exerts significant effects. These findings demonstrate that the two policies have created a pattern of spatial injustice that disadvantages peripheral villages, illustrating the need to attend to topography in efforts to provide equitable school access in rural mountainous areas.

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Section: Impacts Of Topography On School Accessibility In Rural Areasmentioning

confidence: 99%

Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China

Zhu

Zinda

Liu

et al. 2023

Land

View full text Add to dashboard Cite

show abstract

“…Several researchers have been carried out that have taken into consideration different factors. Yang et al ( 2017 ) found that the regions with mountain terrain lag more than those places located on planes. This paper has considered road slope, walking speed and service area to find where new schools can get established.…”

Section: Literature Reviewmentioning

confidence: 99%

An evaluation of primary schools and its accessibility using GIS techniques: a case study of Prayagraj district, India

2022

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The spatial analysis of primary schools is needed to ensure that they meet standards set by the Government of India. Therefore, mapping of Prayagraj district primary schools is carried out in this research work. The spatial analysis of schools is performed using various parameters that include: literacy rate, student gender ratio, teacher taught ratio, and students’ toilets ratio. Several problems were revealed in the GIS based analysis of schools by highlighting their locations on the map. The results identify the location of all those schools where there is a need to take corrective measures. Further, the route analysis between home and school is handled in this research work. Sometimes, commutation is the sole criteria in the selection of a school. Therefore, optimal path analysis has been performed based on three parameters, i.e. population density, traveling distance and traveling time. A combined weight function is also given to find the optimal path. This work will help people to select the best possible path based upon their requirements. There is often a requirement to reach all the schools to distribute the goods or other physical monitoring activities. This work gave the optimal route to visit all the schools by using the Travelling Salesman Problem (TSP). School accessibility results obtained in this research through TSP will assist in choosing the best possible route. This will help the government identify locations where new roads need to be constructed to have road connectivity.

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“…Lobban [5] analyzed the spatial, the aspatial, and the demographic data in order to identify potential locations for secondary schools in order to guarantee an equal educational facilities distribution. Yang et al [17] assessed elementary school accessibility considering the impact of roadway slopes in mountainous regions.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial-Temporal Analysis of Point Distribution Pattern of Schools Using Spatial Autocorrelation Indices in Bojnourd City

et al. 2020

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In recent years, attention has been given to the construction and development of new educational centers, but their spatial distribution across the cities has received less attention. In this study, the Average Nearest Neighbor (ANN) and the optimized hot spot analysis methods have been used to determine the general spatial distribution of the schools. Also, in order to investigate the spatial distribution of the schools based on the substructure variables, which include the school building area, the results of the general and local Moran and Getis Ord analyses have been investigated. A differential Moran index was also used to study the spatial-temporal variations of the schools’ distribution patterns based on the net per capita variable, which is the amount of school building area per student. The results of the Average Nearest Neighbor (ANN) analysis indicated that the general spatial patterns of the primary schools, the first high schools, and the secondary high schools in the years 2011, 2016, 2018, and 2021 are clustered. Applying the optimized hot spot analysis method also identified the southern areas and the suburbs as cold polygons with less-density. Also, the results of the differential Moran analysis showed the positive trend of the net per capita changes for the primary schools and first high schools. However, the result is different for the secondary high schools.

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Distribution of primary school based on spatial network comprehensive model in low-income mountainous cities: a case study in Wanyuan, China

Cited by 5 publications

References 15 publications

Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China

Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China

An evaluation of primary schools and its accessibility using GIS techniques: a case study of Prayagraj district, India

Spatial-Temporal Analysis of Point Distribution Pattern of Schools Using Spatial Autocorrelation Indices in Bojnourd City

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