Study on spatial layout optimization of Linpan settlements based on point pattern analysis

Wan, Ajun; Liu, Yixuan; Xie, Xinjue; Tu, Runqiu; Qi, Xuejiao

doi:10.1007/s10668-020-01042-z

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…For mountainous and plateau areas, rural settlements are principally distributed in areas where slopes are less than ten degrees, and the lower the slope, the larger the size of the settlement [71]. Similar to Wan et al [72], the influence of river elements on the distribution of rural buildings is relatively moderate, indicating that residents paid less attention to rivers when building houses and mainly focused on the areas of flat terrain and fertile land. Second, the impact of transport infrastructure on rural buildings is also obvious, and rural buildings are heavily concentrated in the villages near the roads.…”

Section: Discussionmentioning

confidence: 53%

Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database

Li,

Liang,

Deng

et al. 2023

Land

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The countryside is the principal area of population agglomeration with a high incidence of global poverty problems. As a shelter for the daily life of rural inhabitants, the rural buildings constitute the element of rural settlements. Moreover, they can directly characterize the level of rural development. Therefore, in the new stage of the Sustainable Development Goals (SDGs), this study selected Laos as the main study area and investigated the effect of different factors on the spatial heterogeneity of rural development based on the rural building spatial database. With the geodetector, the results are summarized as follows: (1) The spatial pattern of rural buildings in different regions of Laos varies significantly, with hot spots areas of rural buildings mainly located in the central and southern regions, while cold spots areas are mainly concentrated in the northern region. (2) Slope, transport infrastructure, and public service are the dominant elements influencing the spatial differentiation of rural buildings in Laos, but spatial heterogeneity existed in different regions of factors. (3) The interaction detector shows that slope ∩ road is the dominant interaction factor influencing the spatial distribution pattern of rural buildings nationwide, and there are marked divergences in the interaction factors. Finally, this study combines the findings to propose corresponding countermeasures for promoting the development and construction of rural areas in Laos.

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Section: Discussionmentioning

confidence: 53%

Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database

Li,

Liang,

Deng

et al. 2023

Land

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“…At the same time, the development and construction activities in high ESV areas should be minimized. In addition, the urban space and agricultural living space should focus on the development of eco-friendly space uses on their natural edges, such as country parks and Linpan [ 83 ] (a kind of natural settlement of forests, water, houses, and fields widely distributed in southwestern China), so that they can be integrated with the surrounding ecosystem. Especially along the Yangtze River, it is even more necessary to plant a certain scale of ecological forests or build green parks to create ecological coastal zones to avoid pollution of the water environment of the Yangtze River from urban construction.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Changes of Ecosystem Service Value Determined by National Land Space Pattern Change: A Case Study of Fengdu County in The Three Gorges Reservoir Area, China

Zhang

Yang

Zhang

et al. 2021

IJERPH

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Exploring the spatiotemporal change characteristics of ecosystem service value (ESV) under the influence of national land space pattern (NLSP) changes is of great significance for promoting the rational use of land resources and the optimization of ecosystems. In this study, Fengdu County in the Three Gorges Reservoir Area was selected as a case study. We analyzed the changes in NLSP using land use data from 1990, 2000, 2010 and 2018. Then, we used the equivalent factor method and exploratory spatial data analysis method to explore the spatiotemporal change characteristics of the ESV of Fengdu County. The results show that: (1) From 1990 to 2018, the changes in NLSP in Fengdu County generally manifested in the transformation of agricultural space into urban space and ecological space; (2) The spatiotemporal change of ESV is a process that positively responds to the increase in ecological space and negatively responds to the expansion of urban space. From 1990 to 2018, the total ESV of Fengdu County showed a trend of continuous growth, with a total increase of CNY 11.10 × 108, and the change rate was 9.33%. The ESV gain area is mainly located along the Yangtze River and the southernmost part of the county, and the loss area is mainly located near the south bank of the Yangtze River; (3) ESV and its changes in Fengdu County have a significant positive spatial autocorrelation. The cold and hot spots of ESV change are mainly distributed along the Yangtze River and to the south of the Yangtze River. Therefore, it is suggested to integrate ESV as an important indicator into the decision-making of national land space planning. At the same time, it is necessary to strengthen the intensive use of urban space and protect the important ecological space from decreasing. Our study results provide useful insights for the development of regional NLS management and environmental protection policies. However, it is worth noting that the results of this paper are more applicable to areas where the terrain is dominated by mountains.

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“…Therefore, the main body of the Linpan can be accurately recognized in the satellite images. Although many studies on the spatial components of Linpan can be found in recent years [ 5 , 6 , 9 ], this paper did not use the statistical data from these studies. The reasons are given as follows: First, the spatial data we needed include the number, density, spacing, distribution mode, and specific form of buildings, as well as the common types, coverage, and distribution of vegetation in Linpan, but these specific data are difficult to be obtained in the other references.…”

Section: Methodsmentioning

confidence: 99%

“…At present, the research about Linpan mainly focuses on structural characteristics, values, and protection. In terms of structural characteristics, Wan et al [ 6 , 9 ] and Li et al [ 5 ] studied the spatial layout structure and optimization of Linpan; Liu et al [ 10 ] studied the composition and distribution of common plants of Linpan. In terms of Linpan values, the ecological [ 11 , 12 ], cultural [ 2 ], and aesthetic [ 13 ] values of Linpan have been studied by scholars.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Spatial Components on Outdoor Thermal Comfort in Traditional Linpan Settlements

Zhang

Liu

Wei

et al. 2022

IJERPH

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Traditional settlements have received increasing attention because of China’s rural revitalization. Traditional settlements with excellent thermal comfort in rural areas can attract urban residents, so it is vital to explore the thermal comfort of traditional settlements. For this paper, we studied Linpan settlements, which are scattered traditional settlements that are mainly composed of buildings and trees. Firstly, we visually interpreted Linpan settlements by ArcGIS. A total of 1194 Linpan settlements were classified to obtain the spatial components. The statistical results of Linpan were used in the subsequent experimental design. Then ENVI-met was used to simulate 25 different spatial forms of Linpan obtained by statistical results and orthogonal experiment to explore the most comfortable Linpan layout. The results showed the following: (1) Linpan could improve thermal comfort in both winter and summer. Adjusting the spatial arrangement could maximally increase the mean physiological equivalent temperature (PET) of the whole Linpan area by 1.03 °C in winter and reduce it by 3.02 °C in the summer. (2) At different time points, the influence of different space factors on thermal comfort was also different. The overall significance of each factor on thermal comfort was addressed as follows: vegetation coverage (highly significant) > building number (highly significant) > building form (highly significant) > vegetation distribution (significant), but the building distribution was not significant. (3) The best spatial arrangement scheme was high vegetation coverage, a large number of buildings, tri-courtyard buildings, surrounding vegetation distribution, and surrounding building distribution. The innovation of this paper lies in introduced thermal comfort into the traditional Linpan settlement, extracted spatial features of buildings and vegetation by visual interpretation combined with GIS software, and the fact that we conducted the experimental design of microclimate and thermal comfort based on spatial features. The research results can guide the outdoor thermal environment renewal design of Linpan and other traditional settlements.

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Study on spatial layout optimization of Linpan settlements based on point pattern analysis

Cited by 4 publications

References 10 publications

Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database

Exploring the Spatial Heterogeneity of Rural Development in Laos Based on Rural Building Spatial Database

Spatiotemporal Changes of Ecosystem Service Value Determined by National Land Space Pattern Change: A Case Study of Fengdu County in The Three Gorges Reservoir Area, China

Impacts of Spatial Components on Outdoor Thermal Comfort in Traditional Linpan Settlements

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