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A geospatial database of close to reality travel times to obstetric emergency care in 15 Nigerian conurbations

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DataCite Commons2023-07-15 更新2024-08-26 收录
下载链接:
https://figshare.com/articles/dataset/A_geospatial_database_of_close_to_reality_travel_times_to_obstetric_emergency_care_in_15_Nigerian_conurbations/22699759
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资源简介:
A database of travel times to facilities that can provide comprehensive EmOC in the 15 most populated extended urban areas (conurbations) in Nigeria. The travel times from cells of approximately 0.6x0.6km to facilities were derived based on Google Maps Platform’s internal Directions Application Programming Interface (API). The API incorporates estimates of traffic to provide closer-to-reality estimates of travel time. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and the number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.

本数据库收录了尼日利亚15个人口最多的扩展都市区(conurbations)内可提供全面紧急产科护理(Emergency Obstetric Care,EmOC)的设施的出行时间数据。约0.6×0.6公里栅格至对应设施的出行时间基于谷歌地图平台(Google Maps Platform)内置的路线指引应用程序编程接口(Application Programming Interface,API)测算得出;该接口整合了交通流量估算数据,以生成更贴近实际场景的出行时间预估结果。本次计算针对距离由近及远的第1、2、3家公立及私立设施展开,同时估算了8种交通场景(含高峰与非高峰时段)下的出行时间,以及特定时间阈值范围内的设施数量。本数据库为改善紧急产科护理可及性的相关研究与规划工作提供了丰富的契机。
提供机构:
figshare
创建时间:
2023-04-26
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