地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (2): 161-174.doi: 10.12082/dqxxkx.2020.190309

• 地球信息科学理论与方法 • 上一篇    下一篇

地理国情监测成果与规划用地数据的关联转换方法

刘稳1,2, 詹庆明1,2,*(), 刘权毅1,2, 司瑶3, 黄启雷1,2, 樊智宇1,2   

  1. 1. 武汉大学城市设计学院,武汉 430072
    2. 武汉大学数字城市研究中心,武汉 430072
    3. 武汉市测绘研究院,武汉 430022
  • 收稿日期:2019-06-17 修回日期:2019-09-08 出版日期:2020-02-25 发布日期:2020-04-13
  • 通讯作者: 詹庆明 E-mail:qmzhan@whu.edu.cn
  • 作者简介:刘 稳(1991— ),男,湖北咸宁人,博士生,现主要从事大数据在国土空间规划中的应用、数字城乡规划与管理等研究。E-mail: lw_whu@whu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41331175);国家自然科学基金项目(51878515)

A Method for Association and Conversion between Geographical Condition Monitoring Data and Urban Planning Land Use Data

LIU Wen1,2, ZHAN Qingming1,2,*(), LIU Quanyi1,2, SI Yao3, HUANG Qilei1,2, FAN Zhiyu1,2   

  1. 1. School of Urban Design, Wuhan University, Wuhan 430072, China
    2. Digital City Research Center, Wuhan University, Wuhan 430072, China
    3. Wuhan Geomatics Institute, Wuhan 430022, China
  • Received:2019-06-17 Revised:2019-09-08 Online:2020-02-25 Published:2020-04-13
  • Contact: ZHAN Qingming E-mail:qmzhan@whu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(41331175);National Natural Science Foundation of China(51878515)

摘要:

国土空间规划作为促进空间科学治理、实现可持续发展的重要手段,在解决以往各类规划交叉重叠等问题的同时,对空间规划基础底数提出了新要求。将客观、精细的地理国情监测成果作为重要关联数据整合进国土空间基础信息平台,可以大大提高国土空间规划的科学性和权威性。本文首先梳理地理国情内容指标与国土空间规划核心内容之一的城市(镇)总体规划用地分类体系之间的差异,然后构建地理国情监测数据与规划用地数据关联转换的总体框架和具体方法,最后以武汉市为例开展具体应用实践并提出地理国情监测的优化建议。研究表明,地理国情监测成果与规划用地数据的关联转换方法可以用于2种分类体系地类关联关系的建立并实现两类数据的对接转换,但不同地类的转换效果存在差异;地理国情内容指标与城乡用地分类以“多对一”关联关系为主,较难实现两类数据的直接转换,但城镇综合功能单元与城市建设用地部分地类的关联关系较明确且数据转换一致性较高;要实现地理国情监测成果与规划用地数据的无缝衔接和有效转换,应进一步完善监测内容,统一技术标准,优化分类体系。研究结果为优化完善地理国情监测成果,促进其在国土空间规划中的应用提供了有效参考和科学依据。

关键词: 地理国情, 城市(镇)总体规划, 用地分类, 自然资源, 空间规划, 武汉市

Abstract:

In the context of institutional adjustments and planning system reform, spatial planning has become a prominent approach to effectively supporting land resource management in a more scientific and sustainable manner. However, new requirements arise for basic map data of spatial planning to better settle the overlaps and contradictions among land use planning, urban master planning, and major function zoning. Integrating geographical condition monitoring data, which has the advantages of objectivity, precision, and accuracy, as an important data into the basic information platform of territorial space can greatly improve the solidity and authority of spatial planning. Firstly, this paper analyzed the differences between the two classification systems of geographical condition and land uses for urban master planning. Then, the overall framework for the association and conversion between geographic condition monitoring data and land use data of urban master planning was constructed, and specific methods were proposed from four aspects: the correspondence principle, corresponding relationships, consistency evaluation, and difference analysis. Finally, suggestions for optimizing geographical condition monitoring were proposed by taking an urban-rural fringe area in Wuhan for experimental study. Results show that the method of association and conversion between geographical condition monitoring data and urban planning land use data could be used to establish the relationship between the two classifications and to realize the conversion from geographic monitoring data to land use data for urban master planning, but the conversion effect of different land use types varied to some extent. The many-to-one corresponding relationship mainly existed between the classification of geographical condition and the classification of urban-rural land uses, thus difficult to implement the direct conversion. A clear corresponding relationship could be established between urban comprehensive functional unit and some types of urban construction land, and there was a relatively high consistency between them. To realize seamless connection and effective conversion between geographic national condition monitoring data and land use data for urban master planning, we should further improve monitoring content, optimize land use classification, and unify technical standards, so as to better apply geographical condition monitoring data in spatial planning. Our findings provide an effective reference and scientific basis for optimizing and improving the affairs of geographical condition monitoring in the future and for promoting its applications in natural resource management and spatial planning.

Key words: geographical condition, urban master planning, land use classification, natural resources, spatial planning, Wuhan