Review of the Theory and Application of Big Data in Urban Spatial Optimization

DOI

10.2991/assehr.k.200331.042How to use a DOI?

Keywords

urban space optimization, big data, theory, application

Abstract

This article applies the literature review method to sort out and summarize the results on the theory and the application of big data in urban space optimization research. It founds that the domestic research on spatial optimization started relatively late, mainly in terms of the optimization of the number of land use structures and the division of land use. But in the context of urban renewal, research on spatial optimization strategies is still rare. Exploring spatial pattern optimization from the perspective of sustainable renewal will provide new perspectives and new methods for China’s stock space optimization. Scholars from China or abroad have used big data to conduct more research and discussion on related decisions on urban problem governance. In terms of land use optimization, big data can also overcome these limitations to a large extent, especially in the study of urban expansion boundaries, land use function layout, function facility layout and other aspects.

Copyright

© 2020, 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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TY  - CONF
AU  - Zijun Ye
PY  - 2020
DA  - 2020/04/02
TI  - Review of the Theory and Application of Big Data in Urban Spatial Optimization
BT  - Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)
PB  - Atlantis Press
SP  - 188
EP  - 191
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200331.042
DO  - 10.2991/assehr.k.200331.042
ID  - Ye2020
ER  -