公共交通
运输工程
Python(编程语言)
业务
计算机科学
编码(集合论)
地理
地理信息系统
环境规划
光学(聚焦)
农村地区
可持续发展
公共通道
区域科学
钥匙(锁)
交通规划
衡平法
数据库
标识
DOI:10.24433/co.2745477.v1
摘要
This capsule contains the code and data used to study public transport accessibility in major Chinese cities, particularly in rural areas, with a focus on hidden inequities in achieving Sustainable Development Goals (SDGs). Data was collected using a custom Python script that scraped public transportation route names and stop coordinates from Gaode Maps via BeautifulSoup4 (v4.10.0). The code facilitates spatial analysis of accessibility and transportation gaps between urban and rural regions.
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