Using GIS and KDE analysis spatial distribution on public housing households: A case study

Author

Zuo Zhang ; Yanzhong Liu ; Biao Chen ; Kunlun Chen

Author_Institution

Coll. of Public Adm., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2013

fDate

26-28 April 2013

Firstpage

925

Lastpage

930

Abstract

This paper considers the spatial distribution and evolvement of low income households in urban public housing. Base on Geographic Information System (GIS) environment and Kernel Density Estimation, this paper (1) calculates the results of kernel density estimation of households living in public housing, (2)makes spatial distribution analysis in multi-spatial scale, year change and market comparison, (3) makes buffer analysis for examining the public housing households whether easily accessible to rapid transits. This methodology uses the public housing of Wuhan in China as case study and collects public housing related data from 1995 to 2008.

Keywords

geographic information systems; public administration; rapid transit systems; statistical distributions; town and country planning; GIS environment; KDE analysis spatial distribution analysis; Wuhan China; buffer analysis; geographic information system environment; household living; kernel density estimation; low income households; market comparison; multispatial scale; public housing households; rapid transits; urban public housing; Planning; Smoothing methods; GIS; distribution; kernel density; public housing; spatial analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2013 8th International Conference on

Conference_Location

Colombo

Print_ISBN

978-1-4673-4464-7

Type

conf

DOI

10.1109/ICCSE.2013.6554044

Filename

6554044