Evaluation of Urban Land Intensive Use in Wuhan City Based on Principal Component Analysis

DOI

10.2991/assehr.k.210206.036How to use a DOI?

Keywords

Land intensive use, principal component analysis, evaluation, Wuhan city

Abstract

In the face of rapid urbanization in our country and the reality and the requirement of sustainable development, changing the mode of urban land use, improving the urban land use efficiency and benefit, and going the way of the intensive development of urban land are to solve the current contradiction between supply and demand of land in the process of the rapid development of urbanization in our country and the inevitable choice of realizing the sustainable development of city construction. This article uses the principal components analysis method and the comprehensive score method to calculate the analysis of urban land intensive use level in Wuhan city, for the future of Wuhan city to provide the reference and basis for further and intensive utilization of land. Through analysis, it can be found that the intensive use of urban land within the built-up area of Wuhan from 2013 to 2017 has been greatly improved. It is concluded that in the future economic development process, Wuhan should make the best use of the stock land in urban built-up areas, tap the utilization potential of the internal stock land, improve the land reserve capacity, and realize the orderly expansion of urban scale and the sustainable use of urban land.

Copyright

© 2021, 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  - Rui Zhang
PY  - 2021
DA  - 2021/02/06
TI  - Evaluation of Urban Land Intensive Use in Wuhan City Based on Principal Component Analysis
BT  - Proceedings of the 2020 International Conference on Modern Education Management, Innovation and Entrepreneurship and Social Science (MEMIESS 2020)
PB  - Atlantis Press
SP  - 175
EP  - 183
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210206.036
DO  - 10.2991/assehr.k.210206.036
ID  - Zhang2021
ER  -