Research Article
Accessibility Analysis of Park Green Space in Ankang Old City Based on Gaussian Two-Step Floating Catch-ment Area Method
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328683, author={Dong Liu and Wei Huang and Xin Wang and Ruiyan Shu}, title={Accessibility Analysis of Park Green Space in Ankang Old City Based on Gaussian Two-Step Floating Catch-ment Area Method}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={park green space; accessibility; two-step floating catchment area method; population correction model}, doi={10.4108/eai.2-12-2022.2328683} }- Dong Liu
Wei Huang
Xin Wang
Ruiyan Shu
Year: 2023
Accessibility Analysis of Park Green Space in Ankang Old City Based on Gaussian Two-Step Floating Catch-ment Area Method
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328683
Abstract
Based on the Gaussian two-step floating catchment area method, the green space vector da-ta, and the revised population distribution grid are used to study the accessibility of the park green space in the old city of Ankang from the perspective of supply and demand. The main conclusions are as follows: 1) Based on the Gaussian two-step floating catchment ar-ea method, the modified population distribution grid data can be used to more accurately evaluate the accessibility of the optimized urban park green space; 2) The overall accessibil-ity level of park green space in the old city area of Ankang is relatively low, and it shows a decreasing trend from the outside to the inside. Among them, the high accessibility areas are mainly distributed in the northern riverside and southern mountain area, while the low accessibility areas are mainly in the central and eastern suburbs; 3) According to the Nat-Ural Breaks method, a classification system for the accessibility of parks and greenbelts in the old city of Ankang was established. Xinpu Community and Anhuolu Community had the lowest accessibility, while Guoyuan Community and Jinchuan Community had the highest accessibility.
