Spatial distribution analysis of residential living space features in Shanghai based on spatial accessibility calculations: a method study

Y. Qi; J. G. Xu; G. R. Zhang; B. G. Liao

doi:10.1117/12.765226

6 August 2007 Spatial distribution analysis of residential living space features in Shanghai based on spatial accessibility calculations: a method study

Y. Qi, J. G. Xu, G. R. Zhang, B. G. Liao

Author Affiliations +

Proceedings Volume 6754, Geoinformatics 2007: Geospatial Information Technology and Applications; 67542U (2007) https://doi.org/10.1117/12.765226
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

The paper describes a method to analysis features of residential living space which is defined by spatial accessibility rather than spatial distance. The method uses cost distance analyst in GIS to drive the accessibility calculations. By using a cost map which reflects traffic conditions and physical environmental conditions such as water fields and roads, a cost distance map is generated for each residential land block which acts as a source. The cost distance maps are reclassified into several classes where we use 5min, 15min and 30min as time cost margins. Statistics of land use status in different classes of areas for each residential land block are made and analyzed. By clustering with the statistic results and GIS visualization, spatial distribution patterns of residential living space have been found. Comparing to spatial distances, spatial accessibilities need more computation power but the improvements are significant. Not only sizes of accessibility scopes have their spatial distribution patterns, but the amount of primary land types in the scopes has a relationship with certain properties of the very land block. By using land use data of Shanghai, China, the effectiveness of the method is tested and confirmed.

Citation Download Citation

Y. Qi, J. G. Xu, G. R. Zhang, and B. G. Liao "Spatial distribution analysis of residential living space features in Shanghai based on spatial accessibility calculations: a method study", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67542U (6 August 2007); https://doi.org/10.1117/12.765226

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