| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 8 | |
| Section | Community Upgrading and Urban Development Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202451201019 | |
| Published online | 10 April 2024 | |
Accessibility Cluster Analysis of Subway Station Based on Spatial Big Data——A Case Study of Dongcheng and Xicheng Districts in Beijing City
1 Beijing Institute of Surveying and Mapping, 60 Nanlishi Road, Xicheng, Beijing, China, 100032
2 Beijing Key Laboratory of Urban Spatial Information Engineering, 60 Nanlishi Road, Xicheng, Beijing, China, 100032
* Corresponding author: zlmlingmei@126.com
Subway is an important means of daily commuting in city life due to its punctuality and speed. Residential accessibility around subway station reflects the transportation convenience and connectivity between the necessary facilities which affecting residents’ daily lives. Therefore, this study research on station accessibility factors by improving the walk-score model and establishing a multi-feature integrated transportation model that comprehensively considers the age difference based on spatial big data. Quantitative analysis was conducted on facility and station accessibility. Based on clustering algorithm considering three age groups, subway stations were classified into four types: mature, well-equipped, nurturing, and deficient. Using friendly characteristics, subway stations were categorized into three dominant age types. By integrating the analysis of accessibility, spatial layout, clustering differences and age-friendly characteristics, suggestions were proposed to improve station connectivity and supporting facility development.
© The Authors, published by EDP Sciences, 2024
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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