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

  • ZHAO Xi-zhi ,
  • WU Bin ,
  • WU Jian-ping ,
  • YU Bai-lang
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  • 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 date: 2016-01-05

  Online published: 2017-01-13

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.

Cite this article

ZHAO Xi-zhi , WU Bin , WU Jian-ping , YU Bai-lang . Analyzing urban public green space service based on real population data: A case study within the outer ring of shanghai[J]. Journal of East China Normal University(Natural Science), 2017 , 2017(1) : 104 -112 . DOI: 10.3969/j.issn.1000-5641.2017.01.012

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