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

Abstract

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.

Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China

“…For example, Wang [52] first used it to explore the relationship between risk factors and certain diseases. Subsequently, it was applied to measure the effects of potential factors on geographical phenomena, such as the relationship between human activity and urban forest landscape connectivity [54], the spatial correlations among socio-economic factors and the distribution of rural settlements [55] and the effects of potential factors on housing prices [56]. In this study, we attempt to use the geographical detector method to investigate the relative importance of external factors on residential land prices.…”

Factors influencing farmers' intentions for urban–rural harmony in metropolitan fringes and regional differences therein

“…Once the gap between urban and rural areas continues to widen, it will lose social equity and cause serious social problems. To realize better and faster development of the regional economy and society, urban-rural harmony development is inevitable (Li, 2012;Li, 2017;Long, 2012Long, , 2013Tu & Long, 2017;Yang & Xu, 2010). Urban-rural harmony development refers to drawing up the economic and social development plans of urban and rural areas uniformly as one entity (Zhong, Li, & Wang, 2007).…”

“…Owing to urban-rural harmony development being an effective approach for eliminating the urban-rural gap and solving problems concerning agriculture, villages, and farmers, it has become a research hotspot in academic circles. Domestic scholars in China have conducted in-depth research into the urban-rural relationship (Liu, Bennett, Harun, & Probst, 2008;Mullan, Grosjean, & Kontoleon, 2011), urban-rural development gap (Liu & Lv, 2015;Wang et al, 2016b;Yang, Xu, & Long, 2016;Zhou, Qi, & Lu, 2010), and the theoretical connotations, dynamic mechanisms, and goals of urbanrural integration (Gu & Li, 2013;Huang, Li, Wang, & Duan, 2009;Yao, Fang, & Nipper, 2004;Zhang & Li, 2012).…”

Laws and Trends of the Evolution of Traditional Villages in Plane Pattern

“…(3) Euclidean Nearest-Neighbor Distance Mean (ENN_MN). These metrics can effectively reflect the degree of patch aggregation [39]. The scatter diagram ( Figure 10) shows that the changes in the distances between buildings were relatively slight in most villages, remaining between 2.5 m and 5.5 m. However, the changes in the values were evident in Xidi, Qiaoxiang, and Kengzi, which all showed a consistently decreasing trend.…”