Rates and drivers of rural residential development in the Greater Yellowstone

Gude, Patricia H.; Hansen, Andrew J.; Rasker, Ray; Maxwell, Bruce D.

doi:10.1016/j.landurbplan.2005.02.004

Cited by 180 publications

(109 citation statements)

References 21 publications

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“…The characteristics of rural settlements distribution reflect the condition of the natural environment and the level of regional socioeconomic development (Feng and Li, 2007). Therefore, although rural settlements distribution is affected by many factors, these two are the primary influencers (Gude et al, 2006). Therefore, we have chosen 13 factors of driving power for the spatial distribution of rural settlements at the county level in China.…”

Section: Influence Mechanism Of Rural Settlements Distribution In Chinamentioning

confidence: 99%

Spatial distribution characteristics and optimized reconstruction analysis of China’s rural settlements during the process of rapid urbanization

Yang

Long

2016

Journal of Rural Studies

265

117

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a b s t r a c tThe population density of rural areas is generally lower than before due to rapid industrialization. Spatial optimized reconstruction of rural settlements is the key to rural sustainable development. Analyzing the distribution characteristics of rural settlements and their impact has profound implications for rural reconstruction. Several types of spatial distribution of rural settlements, such as clustered, random, and uniform discrete distribution, were found in China with significant regional differences. Rural settlements were denser in the southeastern regions compared to the northwestern regions. In regions such as plains, the spatial distribution of rural settlements was denser and the spatial distribution modes were mainly random and disperse. In regions such as cold alpine areas and desert fringes, the rural settlements density was low and mainly clustered. In the transition zone between hills and mountains, the density of rural settlements was high and the spatial distribution mode was mainly random. Rural settlements distribution was influenced by traditions and the economy, with economic development becoming increasingly influential. Additional factors that affected rural settlements distribution included average distance to main roadway, agricultural machinery, per capita grain production, per capita arable land, population density, elevation, precipitation, etc. Multiple distribution patterns should be used to reconstruct rural spaces in different geographical areas. Typical patterns included radially balanced, central land distribution mode; radially imbalanced distribution mode; multicore central land distribution mode, and corridor balanced and imbalanced distribution modes.

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Section: Influence Mechanism Of Rural Settlements Distribution In Chinamentioning

confidence: 99%

Spatial distribution characteristics and optimized reconstruction analysis of China’s rural settlements during the process of rapid urbanization

Yang

Long

2016

Journal of Rural Studies

265

117

View full text Add to dashboard Cite

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“…The rural settlement patterns were the result of combined physical and socioeconomic factors [39]. Natural geographic conditions were the direct driving factor of the location and layout of rural settlements, while socioeconomic factors were considered decisive driving factors that determine the degree and speed of rural settlement development [40].…”

Section: Geographic Associationmentioning

confidence: 99%

“…Among all of these factors, the terrain factors and river were taken as the leading physical factors [40]. Socioeconomic conditions, including traffic location, policies, the level of economic development, and the size and structure of the village population all have great influences on the layout and development of rural residential areas.…”

Section: Geographic Associationmentioning

confidence: 99%

Spatial Patterns and the Regional Differences of Rural Settlements in Jilin Province, China

Zhang

et al. 2017

Sustainability

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Abstract:The spatial patterns of rural settlements are important for understanding the drivers of land use change and the relationship between human activity and environmental processes. It has been suggested that the clustering of houses decreases the negative effects on the environment and promotes the development of the countryside, but few empirical studies have quantified the spatial distribution patterns of houses. Our aim was to explore the regional differences in rural settlement patterns and expand our understanding of their geographic associations, and thus contribute to land use planning and the implementation of the policy of "building a new countryside". We used spatial statistical methods and indices of landscape metrics to investigate different settlement patterns in three typical counties within different environments in Jilin Province, Northeast China. The results indicated that rural settlements in these three counties were all clustered, but to a varied degree. Settlement density maps and landscape metrics displayed uniformity of the settlement distributions within plain, hill, and mountainous areas. Influenced by the physical environment, the scale, form, and degree of aggregation varied. Accordingly, three types of rural settlements were summarized: a low-density, large-scale and sparse type; a mass-like and point-scattered type; and a low-density and high cluster-like type. The spatial patterns of rural settlements are the result of anthropogenic and complex physical processes, and provide an important insight for the layout and management of the countryside.

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“…Rapid urbanization has led to great changes in rural landscapes [1][2][3]. During the process of urbanization, many villages grow into towns and cities, or become part of a city due to urban expansion [4,5].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Changes of Villages in the Urbanizing Beijing Metropolitan Region: Integrating Remote Sensing and GIS Analysis

Wang

Zhou

et al. 2017

Remote Sensing

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Abstract:Rapid urbanization has resulted in great changes in rural landscapes globally. Using remote sensing data to quantify the distribution of rural settlements and their changes has received increasing attention in the past three decades, but remains a challenge. Previous studies mostly focused on the residential changes within a grid or administrative boundary, but not at the individual village level. This paper presents a new change detection approach for rural residential settlements, which can identify different types of rural settlement changes at the individual village level by integrating remote sensing and Geographic Information System (GIS) analyses. Using multi-temporal Landsat TM image data, this approach classifies villages into five types: "no change", "totally lost", "shrinking", "expanding", and "merged", in contrast to the commonly used "increase" and "decrease". This approach was tested in the Beijing metropolitan area from 1984 to 2010. Additionally, the drivers of such changes were investigated using multinomial logistic regression models. The results revealed that: (1) 36% of the villages were lost, but the total area of developed lands in existing villages increased by 34%; (2) Changes were dominated by the type of 'expansion' in 1984-1990 (accounted for 43.42%) and 1990-2000 (56.21%). However, from 2000 to 2010, 49.73% of the villages remained unchanged; (3) Both topographical factors and distance factors had significant effects on whether the villages changed or not, but their impacts changed through time. The topographical driving factors showed decreasing effects on the loss of rural settlements, while distance factors had increasing impacts on settlement expansion and merging. This approach provides a useful tool for better understanding the changes in rural residential settlements and their associations with urbanization.

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Rates and drivers of rural residential development in the Greater Yellowstone

Cited by 180 publications

References 21 publications

Spatial distribution characteristics and optimized reconstruction analysis of China’s rural settlements during the process of rapid urbanization

Spatial distribution characteristics and optimized reconstruction analysis of China’s rural settlements during the process of rapid urbanization

Spatial Patterns and the Regional Differences of Rural Settlements in Jilin Province, China

Quantifying Changes of Villages in the Urbanizing Beijing Metropolitan Region: Integrating Remote Sensing and GIS Analysis

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