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Monitoring and Simulating Urban Land Use Spatial Evolving Process in Changchun City Using RemoteSensing and GIS

机译：基于遥感和GIS的长春市城市土地利用空间演变过程监测与模拟

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摘要

This paper extracts the urban land use spatial classified information of Changchun city, Northeast China in the past 100 years, analyzes the characteristics and model of urban land use spatial evolvement and then simulates spatial expand. Changchun was colonized by Japan during 1931-1945 and became the provincial capital with socialist economy development as the old industry base after liberation. It goes through the special period in urbanization process. This study extracts 6 phases of spatial information of urban land use change in 1905,1932,1954,1976,1990 and 2004 by using Remote Sensing and GIS based on the Oriented-Object Division method. The spatial information classification method of multi-phases urban land use integrating with the hierarchical classification method and the Oriented- Object Division method is applied aiming to classify historical urban land use and to take place the inconsistent spatial location in overlaying spatial analysis with the series data. Based on the RS classification method of knowledge rule and GIS spatial grid technique, we estimated the floor area ratio, and then referenced the historical data and survey data to extract the vertical height space of urban land use evolving process. The analysis of Changchun urban land use evolving process focuses on the urban morphology change with spatial expansion, the functional restructuring of urban land use and the urban vertical height rising of the floor space, including multiples-speed, multiples-pattern and multiples-shape. In this study, we found that the ordinal evolving models of the city were the multi- block pulling model, the single-nuclear homocentric mode, the axial growth mode, and the grouping and multi-nucleus growth mode, and the city high floor risen and land use spatial differentiation strengthened during past 100 years, both processes improved the intensive land use and enhanced land use intensity. The study found that the driving factors of urban land use change have significant temporal characteristics. According to the dominant driving factors, urban development periods include the special development period before liberation (1905- 1948), the socialist reconstruction period after liberation period (1949-1977) and the economic transition period (1978-2004). This study integrates the method of Cellular Automata (CA) and MultiAgent (MA) Model based on GIS, and then establishes the simulation model of urban land use spatial expansion (SMUSE). This model integrates with the spatial behaviors of urban resident, enterprises and government agents and emphasizes urban population growth, policy drive factors to make full use of the advantages of Cellular Automata (CA) and Multi-agent (MA) in the urban micro-evolving process. It not only enhances simulating accuracy and reliability of urban land expansion, but also helps to understand better the process of urbanization, driving forces, and the interaction with human-environment. The simulation results indicate that the area of urban land expansion of Changchun City will increase 19539. 26hm2 from 2004 to 2040. Urban spatial expansion will happen mainly in the three groups (Xinglong, Fufeng and Jingyuetan), the northwest area along highway between the Changchun City and Nong'an Town and the southern suburb. Urban land spatial expansion will show the trend of sprawling. The optimization scheme for Changchun City of "intensive" internal spatial structure and "smart growth" pattern is proposed based on the characteristics of urban land use change.
机译：本文提取了东北地区长春市近百年来的城市土地利用空间分类信息，分析了城市土地利用空间演化的特征和模型，然后模拟了空间扩展。长春在1931-1945年被日本殖民，解放后成为社会主义经济发展的省会城市，是老工业基地。它经历了城市化过程的特殊时期。本文利用遥感和GIS技术，基于面向对象分割法，提取了1905、1932、1954、1976、1990和2004年城市土地利用变化的空间信息的六个阶段。应用多阶段城市土地利用的空间信息分类方法，结合层次分类法和定向对象划分法，旨在对历史城市土地利用进行分类，并在用序列数据覆盖空间分析时发生不一致的空间位置。 。在基于知识规则的RS分类方法和GIS空间网格技术的基础上，估算了建筑面积比，然后参考历史数据和调查数据，提取了城市土地利用演变过程的垂直高度空间。长春市城市土地利用演变过程的分析着眼于城市形态的空间扩展，城市土地利用的功能重构以及城市垂直地面高度的上升，包括倍速，倍数格局和倍数形状。在这项研究中，我们发现城市的有序演化模型是多块拉动模型，单核同心模式，轴向增长模式，分组和多核增长模式以及城市高层在过去的100年中，土地利用的空间分异性得到了加强，这两个过程都改善了土地集约利用和土地利用强度。研究发现，城市土地利用变化的驱动因素具有明显的时间特征。根据主导因素，城市发展时期包括解放前的特殊发展时期（1905-1948），解放后的社会主义重建时期（1949-1977）和经济转型时期（1978-2004）。本文将基于GIS的元胞自动机（CA）和MultiAgent（MA）模型相结合，建立了城市土地利用空间扩展模拟模型。该模型结合了城市居民，企业和政府机构的空间行为，并强调了城市人口的增长，政策驱动因素，以充分利用细胞自动机（CA）和多主体（MA）在城市微观演进中的优势。处理。它不仅提高了模拟城市土地扩张的准确性和可靠性，而且还有助于更好地了解城市化过程，驱动力以及与人环境的相互作用。模拟结果表明，从2004年到2040年，长春市的城市土地扩展面积将增加19539。26hm2。城市空间扩展将主要发生在三组（兴隆，扶风和景月潭），这是长春之间沿公路的西北地区市和农安镇及南郊。城市土地空间扩张将呈现蔓延趋势。根据城市土地利用变化特征，提出了“集约化”内部空间结构和“智能增长”格局的长春市优化方案。

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  • 来源
  • 会议地点 Guangzhou(CN)
  • 作者

    Chen Enuo;

  • 作者单位

    Wenhui Kuang@Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, P. R. China--Shuwen Zhang@Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun, P. R. China--Jiyuan Liu@Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, P. R. China--QuanQin Shao@Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, P. R. China--Yifang Ban@Royal Institute of Technology Drottning Kristinas, Stockholm, Sweden--;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 城市规划;
  • 关键词

    urban land use; Changchun city; driving forces; CA; multi-agent;

    机译：城市土地利用;长春市;驱动力; CA;多主体;

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