Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Topological Analysis of Urban Spatial Structure

Authors
Lijuan Yao
Corresponding Author
Lijuan Yao
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.287How to use a DOI?
Keywords
topological analysis, urban spatial structure
Abstract

Based on the topological structure of the network, this paper calculates and analyzes the degree of the multi-center network of urban agglomeration based on the measurement of the regional integration of each urban agglomeration, from the aspects of density, intensity, symmetry, hierarchy and network development. It should be noted that most of the existing urban network analysis methods do not adapt to the data sparse matrix (for example, some cities are too low or even zero to logarithmic calculation, so they are not suitable for the rank analysis of Hall et al. It does not apply to the information entropy formula of Limtanakool et al.). In this paper, the method of measuring the difference between the two pairs of methods to effectively avoid the shortcomings of the traditional measurement measurement methods.

Copyright
© 2017, 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 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.287
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.287How to use a DOI?
Copyright
© 2017, 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  - Lijuan Yao
PY  - 2017/04
DA  - 2017/04
TI  - Topological Analysis of Urban Spatial Structure
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1522
EP  - 1527
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.287
DO  - 10.2991/icmmct-17.2017.287
ID  - Yao2017/04
ER  -