太阳成8722(中国)有限公司-GREEN NO.1

标题：Modeling different urban growth patterns based on the evolution of urban form: A case study from Huangpi, Central China作者：Liu, Yaolin; He, Qingsong; Tan, Ronghui; Liu, Yanfang; Yin, Chaohui

来源出版物：APPLIED GEOGRAPHY 卷：66 页：109-118 DOI：10.1016/j.apgeog.2015.11.012 出版年：JAN 2016

摘要：Spatial patterns of urban expansion mainly include infilling, edge expansion, and outlying growth patterns. The cellular automata (CA) model, is an important spatio-temporal dynamic model and effectively simulates infilling and edge-expansion urban expansion, but is evidently lacking in outlying scenarios. In addition, CA cannot explain the causes and processes of urban land expansion. Given these limitations, we proposed a novel urban expansion model called simulation model of different urban growth pattern (SMDUGP), which can work well in both adjacent (i.e., infilling and edge expansion) and outlying growth patterns. SMDUGP has two main components. First, we divided the non-urban region into two categories, namely, candidate region for adjacent pattern urban growth (CRFAP) and candidate region for outlying pattern urban growth (CRFOP). Second, different methods were utilized to simulate urban expansion in the different categories. In CRFAP, a CA model based on the potential of urban growth was proposed to simulate urban growth in relatively randomly selected urban growth regions based on the discrete selection model and Monte Carlo method as the expansion area was implemented in CRFOP. Huangpi, a suburban area in Wuhan, is utilized as the case study area to simulate the spatial and temporal dynamics of urban growth from 2004 to 2024. SMDUGP can effectively simulate outlying urban growth with a highly improved simulation precision compared with the traditional CA model and can explain the causes and processes of urban land expansion.

入藏号：WOS:000368953500011

文献类型：Article

语种：English

作者关键词：Urban expansion, Cellular automata, Adjacent, Outlying, Huangpi

扩展关键词：CELLULAR-AUTOMATA; SPATIOTEMPORAL DYNAMICS; CITY GROWTH; BAY AREA

通讯作者地址：He, QS, Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei Province, Peoples R China.

电子邮件地址：yaolin610@163.com; baihualin2013@163.com; tanronghui1999@gmail.com; yfliu610@163.com; 1018819069@qq.com

地址：

[Liu, Yaolin; He, Qingsong; Tan, Ronghui; Liu, Yanfang; Yin, Chaohui]Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei Province, Peoples R China.

[Liu, Yaolin; Tan, Ronghui; Liu, Yanfang] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, 129 Luoyu Rd, Wuhan 430079, Hubei Province, Peoples R China.

[Liu, Yaolin] Collaborat Innovat Ctr Geospatial Informat Techno, Beijing, Peoples R China.

研究方向：Geography

ISSN：0143-6228

eISSN: 1873-7730

影响因子（2014）：2.494