大不列颠的城市和地区公共交通服务的可访问性指标
J Rafael Verduzco Torres1, David Philip McArthur2
1Urban Big Data Centre, University of Glasgow, Glasgow, United Kingdom. JoseRafael.Verduzco-Torres@glasgow.ac.uk.
Scientific data
|January 9, 2024
概括
这项研究为英国各地的关键服务提供了可访问的公共交通可访问性指标. 这些准备好使用的数据集降低了关于选择运输方式和公共卫生研究的障碍.
科学领域:
- 城市规划 城市规划
- 运输 地理 交通 地理
- 公共卫生 公共卫生
背景情况:
- 公共交通工具的可访问性会影响诸如失业率,房地产价格和公共卫生等社会和经济因素.
- 基于位置的可访问性措施很常见,但需要专门的技能和计算资源.
- 现有的可访问性数据往往对研究人员和政策制定者构成障碍.
研究的目的:
- 开发并提供一套准备好使用的公共交通可访问性指标,用于整个英国的关键服务.
- 减少与估计可访问性相关的技术和计算障碍.
- 支持与公共交通和城市服务相关的研究和政策制定.
主要方法:
- 开发公共交通可访问性指标的空间分类数据集.
- 包括所有起源和潜在目的地之间的原始旅行时间矩阵.
- 专注于关键服务,包括就业,医疗保健 (全科医生,医院),零售 (杂货,超市),教育 (学校) 和城市中心.
主要成果:
- 现在可以获得英国公共交通可访问性指标的综合数据集.
- 数据集已准备好使用,可直接应用于各种研究领域.
- 提供原始的行程时间数据,使其能够创建定制的可访问性指标.
结论:
- 发布的数据集显著降低了研究公共交通方便性障碍的障碍.
- 这种资源可以直接应用于研究社会,经济和健康结果.
- 它作为开发更复杂,量身定制的可访问性指标的基础.
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