Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
---|---|---|
Article Number | 03012 | |
Number of page(s) | 7 | |
Section | Traffic Construction Engineering and Transportation Optimization | |
DOI | https://doi.org/10.1051/e3sconf/202451203012 | |
Published online | 10 April 2024 |
A study on integrated development approaches for bus stations based on cluster analysis
School of Civil Engineering, Xi’an University of Architecture and Technology, 710055 Xi’an, China
a 653102531@qq.com
b* Corresponding author: m15829073129@163.com
Integrated development of bus stations is proposed in response to the city’s priority development policy for public transportation. This approach aims to address the challenges of limited station land and increased financial pressure on bus operations by effectively utilizing urban land resources. Therefore, the selection of integrated development methods for bus stations becomes crucial. This study examines the characteristics of 36 bus station sites in Xi’an, considering both their intrinsic features and external environmental attributes. Using diverse data collection methods and analysis techniques, including Python, AcrGIS, and the Gaode Maps Open Platform, the research focuses on four dimensions: Points of Interest (POI), location characteristics, station attributes, and station connectivity features. By identifying 24 key clustering factors through Z-score standardization, Principal Component Analysis (PCA), elbow method, and K-means++ clustering, the 36 bus stations are categorized into five types: residential community development, commercial development, office building development, integrated development, and not recommended for development. These classification results provide guidance for future research on integrated development methods for bus stations.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.