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Proceedings Paper

Research of the relationship between space accessiblity and urban land price by point-based space syntax
Author(s): Ke Song; Manchun Li; Yixi Shao; Yongxue Liu
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Paper Abstract

Studies on economic geography assume that the space accessibility, which means the connectivity of one location with the others, can be considered as the crucial factor determining the land price in case that we can not take account of all factors. Space syntax was widely developed to study the accessibility of urban system recently. The traditional lines-based space syntax theory is not so in reason that every single point along each line has the same syntactical attributes, so it is more logical to use characteristic points to represent the urban system instead. This paper tries to analyze the space accessibility of urban system with point-based space syntax, and then find the inherent relationship between space accessibility and urban land price. The approach of this paper was to get the sample points of land price, calculate the syntactical variables of the sample points depend on interpolation with characteristic points, and find the relationship between space accessibility and urban land price from correlation analysis. The test area is Luqiao, Zhejiang Province, a developed area close to the East Sea of China. The result showed that the total integration and land price had rather strong correlation. It can be concluded that the space accessibility is one of the fatal factor influencing the urban land price, and the integration is the direct variable to describe it. However, more issues have to be discussed: the definition of characteristic points was not so clear and some preferences were factitious, etc. They need to be implemented in the wider context of accessibility covering both geographic and geometric elements through further researches.

Paper Details

Date Published: 7 August 2007
PDF: 10 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67540E (7 August 2007); doi: 10.1117/12.764606
Show Author Affiliations
Ke Song, Nanjing Univ. (China)
Manchun Li, Nanjing Univ. (China)
Yixi Shao, Nanjing Univ. (China)
Yongxue Liu, Nanjing Univ. (China)

Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications

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