Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China
文献类型：期刊论文
| 作者 | Wang, Lingzhi6,7,8; Pijanowski, Bryan8; Yang, Weishi1,2; Zhai, Ruixue3; Omrani, Hichem5; Li, Ke4 |
| 刊名 | HABITAT INTERNATIONAL
 |
| 出版日期 | 2018-12-01 |
| 卷号 | 82页码:48-61 |
| 关键词 | Multiple land use transitions Urbanization Artificial neural networks Land use management Urban planning China |
| ISSN号 | 0197-3975 |
| DOI | 10.1016/j.habitatint.2018.08.007 |
| 通讯作者 | Wang, Lingzhi(wanglingz@jlu.edu.cn) |
| 英文摘要 | Numerous machine learning-based land change models have been presented by researchers over the last two decades. To date, however, far less have simulated multiple land use classes and specific land use subclasses at the same time. In some areas of the world, it is important to simulate both of these dynamics to understand fully the drivers and consequences of land change. One important example is the process of urbanization in China, as urban policies have been developed that guide urban expansion, rural protections, and urban subclass development. This paper presents a new model integrating geographic information systems (GIS) with artificial neural networks (ANNs) to predict multiple transitions among land use types and urban subclasses in the Zhanggong District of Ganzhou city in China. We show that the model produces satisfactory goodness of fit values-based on location, quantity and spatial configuration-between simulated and observed land use maps for 2015. Our simulated future maps produced by the model for 2020 and 2025 demonstrate that transitions from farmland and forest to urban will remain the main pathway of urbanization although we predict that the rate will slow after 2025. The goals of urban planning should be aligned with land use planning according to "Combining multiple laws and regulations" in China. Taking into account the current and future land use transitions will enhance the accuracy and timeliness of land use policy making and urban land planning. For the sustainable land use in Zhanggong District, we argue for a strengthened regulation of the land market by government and believe that planning officials should guide the spatial distribution of land supply actively. Furthermore, improving the production, living and ecological functions of land resources are the key points to optimize urban land use functions and the allocation of land resources. We discuss how our model can be adapted to other areas to benefit land use management and urban planning in China. |
| WOS关键词 | CELLULAR-AUTOMATA ; LOGISTIC-REGRESSION ; LONG-TERM ; EXPANSION ; GROWTH ; MODEL ; VALIDATION ; SPRAWL ; MAPS ; AREA |
| 资助项目 | Jilin Province Science and Technology Development Plan Project[20180418111FG] ; Jilin Provincial Department of Education 13th Five-Year Science and Technology Project[JJKH20180163KJ] ; Key Program of National Natural Science Foundation of China[41731286] ; Major Science and Technology Program for Water Pollution Control and Treatment[2010ZX07320-003-004] ; Jilin Science Foundation for Excellent Young Scholars[20180520169JH] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public Administration ; Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:000452565000005 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Jilin Province Science and Technology Development Plan Project ; Jilin Provincial Department of Education 13th Five-Year Science and Technology Project ; Key Program of National Natural Science Foundation of China ; Major Science and Technology Program for Water Pollution Control and Treatment ; Jilin Science Foundation for Excellent Young Scholars |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/51371]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Lingzhi |
| 作者单位 | 1.Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Zhejiang Huanke Environm Consultancy Co Ltd, Hangzhou 311100, Zhejiang, Peoples R China 4.Jilin Jianzhu Univ, Minist Educ, Key Lab Songliao Aquat Environm, Changchun, Jilin, Peoples R China 5.LISER, Urban Dev & Mobil Dept, Luxembourg, Luxembourg 6.Jilin Univ, Coll Earth Sci, Changchun 130061, Jilin, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 8.Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47906 USA |
| 推荐引用方式 GB/T 7714 | Wang, Lingzhi,Pijanowski, Bryan,Yang, Weishi,et al. Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China[J]. HABITAT INTERNATIONAL,2018,82:48-61. |
| APA | Wang, Lingzhi,Pijanowski, Bryan,Yang, Weishi,Zhai, Ruixue,Omrani, Hichem,&Li, Ke.(2018).Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China.HABITAT INTERNATIONAL,82,48-61. |
| MLA | Wang, Lingzhi,et al."Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China".HABITAT INTERNATIONAL 82(2018):48-61. |
入库方式： OAI收割
来源：地理科学与资源研究所
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