Issue |
E3S Web Conf.
Volume 372, 2023
2023 4th International Conference on Urban Engineering and Management Science (ICUEMS2023)
|
|
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Article Number | 02002 | |
Number of page(s) | 4 | |
Section | Urban Traffic Management and Logistics Service | |
DOI | https://doi.org/10.1051/e3sconf/202337202002 | |
Published online | 06 March 2023 |
Optimization of Green Space Form Assessment in Beijing-Tianjin-Hebei Cities under “Carbon Reduction - Quality Improvement” Green Innovation
1
China Architecture Design & Research Group
2
The University of Manchester
* wanyunshan_edu@163.com
a lmlzsh1230@163.com
Under the background of the “two-carbon” goal, balancing the demand for land for economic development and ensuring the ability of urban green ecological carbon sink is the key issue of urban sustainable development. Based on the synergy theory, this paper uses the morphological spatial pattern analysis (MSPA) method to calculate the area ratios of seven landscape types in 13 cities within the BeijingTianjin-Hebei urban agglomeration, and forms an assessment system (factor evaluation) for green space forms of cities that are not carbon neutral, near carbon neutral and already carbon neutral based on relevant indexes, and then gives optimization suggestions: First, the larger the proportion of the area of urban construction land intersecting or contacting with natural patches and corridors, the easier it is to improve the carbon storage capacity of green space. Second, on the basis of ensuring a certain proportion of development space after, landscape types with a high degree of aggregation have a certain effect on the score improvement of the urban innovation index. Fourth on the basis of ensuring a certain proportion of development space, a reasonable ratio of green space between the core area and the fringe area is beneficial to the realization of the coordinated development mode of economy and ecology.
© The Authors, published by EDP Sciences, 2023
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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