美国的空间访问:多种指标的机会可访问性
Rajat Verma1, Shagun Mittal1, Satish V Ukkusuri2
1Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Scientific data
|July 14, 2025
概括
本研究介绍了美国主要城市地区的综合空间可访问性数据集,为城市规划和交通研究提供了宝贵的见解. 数据集包括各种指标和旅行方式,增强可访问性研究.
科学领域:
- 城市规划 城市规划
- 运输科学 运输科学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 空间可访问性措施对于城市和交通规划至关重要,但大规模的公共数据集很少.
- 现有的数据集往往缺乏详细分析所需的细节性和全面指标.
研究的目的:
- 为美国主要城市地区提供新的,高度参数化的空间可访问性测量数据集.
- 为了解交通系统如何影响机会的获取提供一个全面的资源.
- 通过提供详细的可访问性数据,促进城市规划,交通和公共卫生方面的研究.
主要方法:
- 计算了50个人口最多的美国城市地区的三个行政级别的600个空间可访问性值.
- 整合了多种指标,旅行方式 (驾驶,步行,骑自行车),机会类型 (工作,设施) 和旅行时间门.
- 开发了累积机会和基于竞争的可访问性措施.
主要成果:
- 创建了一个大型的参数数据集,涵盖了50个主要的美国城市地区.
- 包括驾驶,步行和骑自行车的旅行时间矩阵,以实现自我验证.
- 与现有的旅行时间和可访问性数据集具有很高的相似性.
结论:
- 这一数据集显著提高了大规模空间可访问性信息的可用性.
- 本资源支持对交通对就业机会和便利设施的影响进行详细分析.
- 该数据集促进了城市规划中的比较研究和基于证据的决策.
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