The changes of densities and patterns of roads and rural buildings: a case study on Dongzhi Yuan of the Loess Plateau, China

Bi, Xiaoli; Wang, Hui; Ge, Jianping

doi:10.1007/s10661-009-0912-y

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…This is reflected in the degree of importance that the residents attach to different environmental factors. Commonly used impact factors include roads [52], water systems [53], vegetation [54][55][56], topography [57], climate [58], and the economy [59]. The economic factor is mostly used to study changes in the long-term development status of the target, which is not consistent with the transient behavior of site selection and was therefore excluded from the present study.…”

Section: Data Extraction Of Influencing Factorsmentioning

confidence: 99%

Spatial Distribution Characteristics and Influencing Factors of Hakka Traditional Villages in Fujian, Guangdong, and Jiangxi, China

2022

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Hakka traditional villages are an important segment of traditional Chinese villages. Analysis of the process of selection of a Hakka site can deepen our knowledge of Hakka culture. In this study, we selected Hakka traditional villages in Fujian, Guangdong, and Jiangxi provinces as research sites. We extracted basic data for these traditional villages using geographic information system coordinates, identified several potential influencing factors, and analyzed correlations among the factors using the R language. Finally, the degree of influence of each factor on the site selection of Hakka traditional villages in the study area was determined using a geographic probe to confirm the dominant factors. The results showed that Hakka traditional villages in Fujian, Guangdong, and Jiangxi had an overall significant clustered distribution. Distance to water, elevation, and vegetation richness were the dominant factors influencing the location of Hakka villages, while the interaction of multiple factors had a facilitating effect on the location of Hakka village foundations. This study utilized the observed distribution of Hakka villages in different regions and the differences between them resulting from the interaction of influencing factors, combined with data analysis, to provide a theoretical basis for the development and protection of Hakka traditional villages.

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Section: Data Extraction Of Influencing Factorsmentioning

confidence: 99%

Spatial Distribution Characteristics and Influencing Factors of Hakka Traditional Villages in Fujian, Guangdong, and Jiangxi, China

2022

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“…ELE was more important in the northwest region (EES and NE) than in the southeast (POR, TP, and PN). Housing security and transportation conditions are controlled by ELE (Bi et al, 2010). The economic production and life of the settlements in the northwest region are affected by poor rain-heat conditions and are sensitive to ELE values, while settlements in the southeast are not.…”

Section: Dominant Factorsmentioning

confidence: 99%

Classification and detection of dominant factors in geospatial patterns of traditional settlements in China

Ustin

et al. 2022

J. Geogr. Sci.

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The geospatial distribution pattern in traditional Chinese settlements (TCSs) reflects the traditional harmony between humans and nature, which has been learned over centuries. However, TCSs have experienced serious disturbances by urbanization and migration. It is crucial to explore the local wisdom of geospatial patterns and dominant factors for TCSs at the national scale in China. This study sought to determine the geospatial wisdom of traditional settlements to enrich our future settlement development with the aim of establishing Chinese settlement values for modern living. Herein, a dataset of 4000 TCSs were analyzed and clustered for environmental factors that affect their geospatial patterns by machine learning algorithms. We concluded that (1) five geospatial patterns of TCSs were clustered on a national scale, and the threshold of environmental factors of TCS groups was detected. (2) Environmental conditions and settlement concepts interacted and determined the similarities and differences among TCS groups. (3) The key boundary for TCSs and the dominant factors for each zone were determined, and topographical conditions and hydrologic resources played significant roles in all five TCS zones. This study provides a better understanding of the adaptability of the environment in relation to the TCSs and aids in planning TCS conservation and rural revitalization.

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“…Factors such as the environmental amenities and the accessibility to infrastructure affect these individual choices (Gordon and Richardson, 1997;Turner, 2005). Especially, scenic natural resources attract development, residential land growth is more likely to occur in areas of particularly high ecological value (McGranahan, 1999), and may eventually cause environmental degradation (Hammer et al, 2004;Brueckner and Largey, 2008;Bi et al, 2010). Data on residential land development can thus be enormously used to understand the methods and the effects of urban landscape change and thereby influence the formulation of policies to guide future growth.…”

Section: Introductionmentioning

confidence: 99%

Changes of residential land density and spatial pattern from 1989 to 2004 in Jinan City, China

2011

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Urban sprawl is driven by a myriad of factors, the predominant one of which is the development of residential land. Selecting part of Jinan City for a case study, we use the landscape metric of percent of landscape (PLAND) to capture residential land growth and density changes in 1989, 1996 and 2004 to illuminate the dynamic process of residential land development. The results indicate that the moving window method and the landscape metrics method are efficient ways to describe residential land density. The residential land showed the greatest change among the built-up land with 1995.68 ha from 1989 to 2004, which is mainly transformed from agriculture land and green space. The urban center area of study area is primarily covered with medium density residential land, and surrounded by high density residential land. The development pattern of residential land exhibited both fill-in (new growth occurs through infilling the free spaces within the developed area) and sprawl processes, influenced by a series of factors, such as urban development policy, conservation of springs, recreational and aesthetic amenities. The findings of the study will help to guide urban planning with a focus on the management and protection of the environment and resources.

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The changes of densities and patterns of roads and rural buildings: a case study on Dongzhi Yuan of the Loess Plateau, China

Cited by 5 publications

References 37 publications

Spatial Distribution Characteristics and Influencing Factors of Hakka Traditional Villages in Fujian, Guangdong, and Jiangxi, China

Spatial Distribution Characteristics and Influencing Factors of Hakka Traditional Villages in Fujian, Guangdong, and Jiangxi, China

Classification and detection of dominant factors in geospatial patterns of traditional settlements in China

Changes of residential land density and spatial pattern from 1989 to 2004 in Jinan City, China

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