Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)

Quantitative Research of Spatial Attribute from Urban Commercial Circles

Authors
Shanyao Zhu, Danyang Li
Corresponding Author
Shanyao Zhu
Available Online February 2018.
DOI
https://doi.org/10.2991/ifeesm-17.2018.36How to use a DOI?
Keywords
axial map, quantitative research, multivariable linear regression model, commercial potential.
Abstract

Based on the spatial syntactic axial model, combined with POI data, from the angle of urban road space structure, the paper chooses 10 representative commercial circles in Xi'an as the research object. Firstly, quantitatively calculates its commercial potential, then carries on spatial attribute analysis to the spatial attribute of its region. Finally, the mathematical regression model between commercial potential and spatial attributes is established. This model is used to evaluate the commercial potential of some sites in the main urban area and the surrounding areas to be developed, and to predict the possible future commercial areas and their scale and benefits.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
Series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-453-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeesm-17.2018.36How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shanyao Zhu
AU  - Danyang Li
PY  - 2018/02
DA  - 2018/02
TI  - Quantitative Research of Spatial Attribute from Urban Commercial Circles
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 188
EP  - 194
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.36
DO  - https://doi.org/10.2991/ifeesm-17.2018.36
ID  - Zhu2018/02
ER  -