Simultaneously simulate vertical and horizontal expansions of a future urban landscape: a case study in Wuhan, Central China
He, Qingsong1; Liu, Yaolin1; Zeng, Chen2,4; Yin Chaohui1; Tan, Ronghui3
刊名INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
2017
卷号31期号:10页码:1907-1928
关键词Artificial neural network cellular automaton building height diffusion simultaneous simulation urban planning
ISSN号1365-8816
DOI10.1080/13658816.2017.1338707
通讯作者Liu, Yaolin(liuyaolin1999@126.com)
英文摘要While there are extensive studies of urban 2D forms, research on the varying geometric features and spatial distribution patterns of urban 3D spaces is comparatively rare. In this paper, we propose a coupled model, known as BPANN-CBRSortCA, which is based on a back propagation artificial neural network (BPANN) and case-based reasoning technology with sort cellular automaton (CBRSortCA) to simulate future urban building heights and their spatial distribution. BPANN-CBRSortCA uses BPANN to predict the vertical extrusion of building heights and uses CBRSortCA to simulate horizontal urban expansion. The BPANN-CBRSortCA model is innovative because of its capabilities to simultaneously project urban growth in the vertical and horizontal dimensions. The proposed model also overcomes the limitations of the traditional cellular automata models that cannot simulate 'diffused' urban expansion. This research used Wuhan City as a case study to simulate vertical and horizontal urban expansion from 2015 to 2025. The results showed the following: (1) in the next 10 years, new build-up will mainly appear along the edge of Hongshan and Hanyang Districts or will occupy bare land in the form of 'filling' and (2) the tallest buildings will be mainly located to the south of East Lake in Hongshan District and on undeveloped land within the city. These simulation results can provide a reference for future urban planning.
资助项目Ministry of Land and Resources of China in the Public Interest[201511001] ; Natural Science Foundation of China[41501179]
WOS关键词CELLULAR-AUTOMATA ; RESIDENTIAL DEVELOPMENT ; GROWTH PATTERNS ; SPATIOTEMPORAL DYNAMICS ; METROPOLITAN REGION ; FIELD MODEL ; URBANIZATION ; CITIES ; SUSTAINABILITY ; EVOLUTION
WOS研究方向Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:000405678300001
资助机构Ministry of Land and Resources of China in the Public Interest ; Natural Science Foundation of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/62793]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Yaolin
作者单位1.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China
2.Huazhong Agr Univ, Dept Land Management, Wuhan, Hubei, Peoples R China
3.Tianjin Univ, Coll Management & Econ, Tianjin, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714
He, Qingsong,Liu, Yaolin,Zeng, Chen,et al. Simultaneously simulate vertical and horizontal expansions of a future urban landscape: a case study in Wuhan, Central China[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2017,31(10):1907-1928.
APA He, Qingsong,Liu, Yaolin,Zeng, Chen,Yin Chaohui,&Tan, Ronghui.(2017).Simultaneously simulate vertical and horizontal expansions of a future urban landscape: a case study in Wuhan, Central China.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,31(10),1907-1928.
MLA He, Qingsong,et al."Simultaneously simulate vertical and horizontal expansions of a future urban landscape: a case study in Wuhan, Central China".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 31.10(2017):1907-1928.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace