标题: Multi-Scenario Simulation of Urban Growth under Integrated Urban Spatial Planning: A Case Study of Wuhan, China

作者: Wang, HF (Wang, Haofeng); Liu, YL (Liu, Yaolin); Zhang, GX (Zhang, Guangxia); Wang, YH (Wang, Yiheng); Zhao, J (Zhao, Jun)

来源出版物: SUSTAINABILITY 卷: 13 期: 20 文献号: 11279 DOI: 10.3390/su132011279 出版年: OCT 2021

摘要: Although many publications have noted the impact of urban planning on urban development and land-use change, the incorporation of planning constraints into urban growth simulation has not been adequately addressed so far. This study aims to develop a planning-constrained cellular automata (CA) model by combining cell-based trade-off between urban growth and natural conservation with a zoning-based planning implementation mechanism. By adjusting the preference parameters of different planning zones, multiple planning-constrained scenarios can be generated. Taking the Wuhan Urban Development Area (WUDA), China as a case study, the planning-constrained CA model was applied to simulate current and future urban scenarios. The results show a higher simulation accuracy compared to the model without planning constraints. With the weakening of planning constraints, urban growth tends to occupy more ecological and agricultural land with high conservation priority. With the increase in preference on urban growth or natural conservation, the future urban land pattern will become more fragmented. Furthermore, new urban land beyond the planned urban development area can be captured in future urban scenarios, which will provide certain early warning. The simulation of the current urban spatial pattern should help planners and decisionmakers to evaluate the past implementation of urban planning, and scenarios simulation can provide effective support for future urban planning by evaluating the consequences.</p>

语言: English

文献类型: Article

作者关键词: cellular automata; planning constraints; scenario simulation; urban growth

KeyWords Plus: CELLULAR-AUTOMATA; ECOSYSTEM SERVICES; LAND; EXPANSION; PATTERNS; FUTURE; MANAGEMENT; POLICIES; IMPACTS; MODELS

地址: [Wang, Haofeng; Liu, Yaolin; Zhang, Guangxia; Wang, Yiheng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Zhao, Jun] Qingdao Surveying & Mapping Inst, Qingdao 266000, Peoples R China.

通讯作者地址: Liu, YL (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: hhfwang2009@whu.edu.cn; liuyaolin1999@126.com; zhangguangxia@whu.edu.cn; wangshulingxiao@whu.edu.cn; whuzhaojun@163.com

影响因子：3.251