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Spatial Decision Support System for Urban Planning: Case Study of Harbin City in China

机译:城市规划的空间决策支持系统:以哈尔滨市为例

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摘要

Urban land structure, layout, and land-use mode influence regional sustainable development greatly. However, planners usually cannot work perfectly because of insufficient environmental information for decision making. In recent years, with urban geographic information system (GIS) development many cities have already built up integrated urban information platform to support regional digitalization process. By using spatial data mining technology urban planning related knowledge can be discovered form GIS database to help planners and decision makers in their work. Through analyzing of Chinese cities' construction mode and developing trend, this paper illustrates how to build up an urban planning spatial decision support system (UPSDSS) based on exploratory spatial data analysis technology support. By spatial data mining form GIS database, UPSDSS can provide related knowledge for urban planning decision making with inference engines (rule inference and case inference) support. As an important part of the research, UPSDSS had been used in urban planning management of Harbin city in China. With hidden information discovered by UPSDSS Harbin planners work easily and effectively. Three cases demonstrate how UPSDSS helped Harbin city in policy making in macroscopic urban expending planning, underground exploitation scheme making, and local land structure changing.
机译:城市土地结构,布局和土地利用方式对区域可持续发展影响很大。但是,由于缺乏足够的环境信息来进行决策,规划人员通常无法完美地工作。近年来,随着城市地理信息系统(GIS)的发展,许多城市已经建立了集成的城市信息平台来支持区域数字化进程。通过使用空间数据挖掘技术,可以从GIS数据库中发现与城市规划相关的知识,以帮助规划人员和决策者开展工作。通过对中国城市建设模式和发展趋势的分析,阐述了如何建立基于探索性空间数据分析技术支持的城市规划空间决策支持系统(UPSDSS)。通过从GIS数据库中进行空间数据挖掘,UPSDSS可以借助推理引擎(规则推理和案例推理)支持为城市规划决策提供相关知识。作为研究的重要部分,UPDSDSS已被用于中国哈尔滨市的城市规划管理。通过UPSDSS发现的隐藏信息,哈尔滨计划人员可以轻松有效地工作。三个案例说明了UPSDSS如何帮助哈尔滨市制定宏观城市支出规划,地下开发方案制定以及当地土地结构变化的政策。

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