华东师范大学学报(自然科学版)

• 地理学 • 上一篇    下一篇

基于实有人口数据的城市公园绿地服务分析——以上海市外环以内区域为例

赵习枝[1,2], 吴宾[1,2], 吴健平[1,2], 余柏蒗[1,2]   

  1. 1. 华东师范大学 地理信息科学教育部重点实验室, 上海 200241;
    2. 华东师范大学 地理科学学院，上海 200241
  • 收稿日期:2016-01-05 出版日期:2017-01-25 发布日期:2017-01-13
  • 通讯作者: 吴健平，男，教授，博士生导师，研究方向为地理信息系统开发与遥感应用. E-mail: jpwu@geo.ecnu.edu.cn.
  • 基金资助:

    国家自然科学基金(41471449)；上海市自然科学基金(14ZR1412200)；上海市教育委员会科研创新项目(15ZZ026)；中央高校基本科研业务费专项资金项目

Analyzing urban public green space service based on real population data: A case study within the outer ring of shanghai

ZHAO Xi-zhi[1,2], WU Bin[1,2], WU Jian-ping[1,2], YU Bai-lang[1,2]   

  1. 1.　Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China；
    2.　School of Geographic Sciences, East China Normal University, Shanghai 200241, China　
  • Received:2016-01-05 Online:2017-01-25 Published:2017-01-13

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摘要：

城市公园绿地与居民的日常生活密切相关，目前对公园绿地的服务分析主要用的是基于行政单元的人口统计数据，难以反映行政单元内的指标差异. 本研究利用精确到门牌号的上海市实有人口数据，基于GIS的栅格分析方法对上海市外环以内的公园绿地服务现状进行分析. 按不同等级公园的服务半径对研究区域进行划分，分析了每个公园绿地的服务范围、服务人口、单位面积的服务人口和人均公园绿地面积；计算整个研究区域内公园绿地的服务盲区，分析了服务盲区的面积、人口数量和人口密度.

关键词: 公园绿地, 实有人口, 服务盲区, 服务配置

Abstract:

Urban public green space is fundamentally important for residents’ daily life. Traditional methods for calculating service population of urban public green space often adopt administrative regions as analytical units for statistical analysis. This relies on the division of administrative units and cannot reflect population variation within a unit. This paper performed the analysis at a finer resolution with more accurate real population data within the outer ring of Shanghai. The methods and procedures were proposed to calculate the results based on raster analysis of Geographic Information System (GIS). First, with cost allocation function in GIS, service area, service population and service population per unit area were analyzed by assigning different service distances of each urban public green space. Second, no service area, population and population density in no service area were analyzed.

Key words: public green space, real population, no service area, service allocation