Analysis of public transport accessibility in the Main Urban Area of Zhengzhou Based on Baidu Map API

DOI

10.2991/978-94-6463-610-9_5How to use a DOI?

Keywords

Baidu map API; public transport; accessibility; Zhengzhou City

Abstract

With the rapid development of China’s economy and society and the acceleration of urbanization, major cities are experiencing an unprecedented test of public transport. This study uses the open network data provided by Baidu map API, focuses on the key node of Zhengzhou railway station, radiates to the main urban area of Zhengzhou, and deeply analyzes the space, time and economic accessibility under the two common travel modes of driving and bus. The results show that in the inner area of the third ring road in Zhengzhou, due to its superior geographical location and developed transportation network, the accessibility is high, but Huiji district has poor accessibility due to its remote location and unbalanced traffic layout. Taking Zhengzhou railway station as the starting point, the driving mode covers a wide area of the main city in one hour. Although the bus can be reached within 2 hours, the specific area in the north takes a long time, which highlights the urgency of bus route optimization. Compared with driving, the cost of bus travel is very low, only 5 yuan can reach most areas of the main city, but some areas need to be optimized to balance traffic and improve the overall travel efficiency. The overall performance of public transportation in Zhengzhou city is good in terms of coverage, efficiency and cost, but it is necessary to improve the accessibility of specific areas in order to establish a more balanced and efficient transportation network.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuegang Liang
AU  - Yanfang Jin
AU  - Chengming Zhu
PY  - 2024
DA  - 2024/12/16
TI  - Analysis of public transport accessibility in the Main Urban Area of Zhengzhou Based on Baidu Map API
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 40
EP  - 49
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_5
DO  - 10.2991/978-94-6463-610-9_5
ID  - Liang2024
ER  -