Suitability Evaluation and Layout Optimization of the Spatial Distribution of Rural Residential Areas

Suitability Evaluation and Layout Optimization of the Spatial Distribution of Rural Residential Areas

sustainability Article Suitability Evaluation and Layout Optimization of the Spatial Distribution of Rural Residential Areas Pengfei Guo 1,2, Fangfang Zhang 3, Haiying Wang 1,2,4,* and Fen Qin 1,2,4 1 College of Environment and Planning, Henan University, Kaifeng 475004, China; [email protected] (P.G.); [email protected] (F.Q.) 2 Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China 3 Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; [email protected] 4 Institute of Urban Big Data, Henan University, Kaifeng 475004, China * Correspondence: [email protected] Received: 24 February 2020; Accepted: 17 March 2020; Published: 19 March 2020 Abstract: A reasonable layout optimization strategy of rural residential areas can improve the quality of life of rural residents and promote rural revitalization. Evaluating the suitability of rural residential areas is the basis of layout optimization. Based on 1:100,000 land cover data and a digital elevation model (30 m) for the Henan Province, China, we used the minimum cumulative resistance model to evaluate the spatial distribution suitability of rural settlements in the Zhengzhou administrative area (abbreviated: Zhengzhou). Then, we used a weighted Voronoi diagram to determine the scope of influence of central villages and determined the direction of relocation for the “combined migration” rural residential areas. The study results support the following conclusions: (1) the comprehensive resistance value of rural residential areas in the Northeastern part of Zhengzhou is low and the suitability is high. However, the comprehensive resistance value of the Southwestern part is high and the suitability is low. (2) The study area can be divided into highly suitable areas, suitable areas, generally suitable areas, unsuitable areas, and extremely unsuitable areas. Unsuitable areas and extremely unsuitable areas accounted for 33.66% of the total area and included 662 rural residential areas. (3) The rural residential areas were divided into four types of optimization: urbanization, key development, controlled development, and combined migration. Based on an analysis of the characteristics of each type of rural residential area, we proposed corresponding optimization strategies. The results remedy the lack of layout optimization strategies for large-scale rural residential areas and can provide support for the optimization of the layout of rural residential areas in Zhengzhou. Furthermore, the research techniques may apply to other regions. Keywords: rural residential area; minimum cumulative resistance model (MCR); suitability evaluation; weighted Voronoi diagram; space layout optimization 1. Introduction Rural residential land is an essential part of the rural land system that bears the primary function of supporting agricultural production and farmers’ residences. Its layout is not only the external expression of various activities in rural areas, but also stimulates or restricts the development of multiple undertakings in rural areas [1–3]. For a long time, due to the lack of systematic planning guidance and supervision and the influence of the traditional concept of free site-choosing settlement, rural residential areas in China have exhibited problems, such as scattered distribution and low land use efficiency in the process of construction and development. With the development of the social Sustainability 2020, 12, 2409; doi:10.3390/su12062409 www.mdpi.com/journal/sustainability Sustainability 2020, 12, 2409 2 of 15 economy and urbanization in China, the rural population is continuously migrating to cities, and “village diseases,” such as “hollow villages” and idle houses, are increasingly prominent [4,5]. The allocation of rural land resources, especially the utilization of residential areas, has become the focus of the government and academia. How to promote the rational and orderly utilization of residential areas and reduce the waste of rural land resources and project investment have become important issues in the implementation of rural revitalization strategies in the new era [6–8]. Evaluation of the suitability of rural residential areas is a crucial initial step to guide the layout optimization of rural residential areas. This analysis will also help enrich and improve the evaluation methods and improve the scientific rationality of the evaluation results, which will inform rural land use planning. In recent years, scholarly research on rural residential areas has mainly focused on: (1) spatial distribution characteristics and influencing factors [9–14]. Mendras, a French rural sociologist, pointed out that economic and social development, government policy making, family economic income change, and population growth had a significant impact on the layout of rural residential areas when he summarized the rural Renaissance in the 1980s. Zhong and Le studied rural residential areas in mountainous areas and plain areas, respectively, and the results showed that the layout of rural residential areas was characterized by large aggregation and small dispersion, and was influenced by topography, landform, road, and river. (2) Spatial layout evolution and driving mechanisms [15–19]. Hai et al. analyzed the evolution characteristics of the scale structure, spatial distribution, and morphological structure of rural residential areas in Gongyi, Henan Province, from 1990 to 2010, and explored the influence of terrain factors, location factors, and social and economic factors on the development and change of rural residential areas. Long et al. analyzed the influence of social economy, land use change, government policy, and other factors on the residential transformation of rural land in China. (3) Suitability evaluation. Xu et al. [20–23] introduced a random forest, a hierarchical fuzzy evaluation model, a niche suitability model, and other methods to study the suitability of residential layout. Hong et al. [24,25] analyzed the suitability of rural residential land from an ecological perspective. (4) Layout optimization. Scholars have proposed a variety of layout optimization strategies from different perspectives, including optimization by grade or type [26–29], function-led optimization [30–32], and farmer-led optimization [33–36]. Using the weighted Voronoi diagram, Zou et al. divided the rural residential areas in the research area into five grades: key town villages, priority villages, conditional extension villages, restricted extension villages, and demolition combined villages. Nath et al. proposed that with the improvement of the social and economic development level, the layout, function, and spatial structure characteristics of rural residential areas have changed, and the functional transformation of rural residential areas has been studied from the perspective of “functional structure”. Cecilia et al. pointed out the defects of rural community planning in the study of Jalisco State in Mexico and the influence of farmers’ participation on the spatial layout of rural settlements, thus, providing new ideas for the optimization of the layout of rural residential areas. In the study of rural residential areas in the Pinggu District, Qu et al. put forward four renovation modes with the farmers’ will as the leading role, which reflected the importance of farmers’ participation. From the perspective of the research scale, the scale of scholarly research on rural residential areas is mostly concentrated below the county scale, and there is a lack of research on the larger scale of rural residential areas. In terms of suitability evaluation methods, random forest and the hierarchical fuzzy evaluation models basically extend the “thousand layers cake” analysis method of McHarg, which superimposes the factors of landscape unit, emphasizes the vertical process of the land landscape unit, and ignores the horizontal process of a landscape change. Therefore, the objective of this study was to apply the minimum cumulative resistance model to Zhengzhou, China (as an example) to evaluate the spatial distribution suitability of rural residential areas from the perspective of landscape ecology, which can remedy the above two deficiencies. On this basis, four types of rural residential area optimization were determined, and corresponding optimization strategies were proposed for various types of rural residential areas. For the “combined migration” rural residential areas, the Sustainability 2020, 12, 2409 3 of 15 Sustainability 2020, 12, x FOR PEER REVIEW 3 of 16 weighted Voronoi diagram method was used to determine the influence of a central village and to ofsuggest a central the village best direction and to suggest for the “combinedthe best direction migration” for the of “combined rural residential migration” areas. Theof rural results residential provide areas.a basis The and results reference provide for Zhengzhou’s a basis and future reference resettlement for Zhengzhou’s and new residential future resettlement site selection, and and new the residentialresearch techniques site selection, may and be applicablethe research in techniques other regions. may The be applicable research has in other great regions. practical The significance research hasfor improvinggreat practical the landsignificance use efficiency for improving of Zhengzhou the land and use promoting efficiency the of integration Zhengzhou of and urban promoting and rural thedevelopment

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    15 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us