Issue |
E3S Web Conf.
Volume 308, 2021
2021 6th International Conference on Materials Science, Energy Technology and Environmental Engineering (MSETEE 2021)
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Article Number | 02004 | |
Number of page(s) | 10 | |
Section | Environmental Ecology and Biochemical Testing | |
DOI | https://doi.org/10.1051/e3sconf/202130802004 | |
Published online | 27 September 2021 |
Quantifying the Speed, Landscape Pattern Changes and Its Driving Factors of Shenzhen China
1 School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, People’s Republic of China
2 School of Resources and Environmental Engineering, Anhui University, Hefei, 230601, People’s Republic of China
† These authors contributed equally.
* Corresponding author’s e-mail: chenyh299@mail2.sysu.edu.cn
Urban expansion has always been a topic of great concern. The purpose of this study is to explore land use change and the types of urban expansion in Shenzhen from 1995 to 2015, and to indicate the driving factors of this change, so as to provide a paradigm for other similar studies. By analysing the landscape expansion index and the correlation coefficient between urban area and various factors in Shenzhen, the following conclusions are obtained: 1) The main changes of land use types are the decrease of cultivated land and the increase of urban land. The land cover type changed most dramatically from 2000 to 2005, and the urban land transformed from cultivated land and grassland occupied most of the area. 2) Analysis shows that during the 20 years from 1995 to 2015, the main expansion type is edge-expansion. In detail, during the period from 1995 to 2010, the proportion of infilling has been increasing, while that of the outlying has been decreasing. After 2010, the urban area of Shenzhen increased slightly. Besides, according to the landscape expansion index, Shenzhen experienced dramatic urban expansion from 2000 to 2005. 3) Education and population growth are the main factors of urban growth in Shenzhen, which is reflected in the strongest correlation between university enrolment rate and urban area.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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