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Population Distribution Settlement Patterns and Accessibility across Africa in 2010

机译:人口分布沉降规律和辅助整个非洲在2010年

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摘要

The spatial distribution of populations and settlements across a country and their interconnectivity and accessibility from urban areas are important for delivering healthcare, distributing resources and economic development. However, existing spatially explicit population data across Africa are generally based on outdated, low resolution input demographic data, and provide insufficient detail to quantify rural settlement patterns and, thus, accurately measure population concentration and accessibility. Here we outline approaches to developing a new high resolution population distribution dataset for Africa and analyse rural accessibility to population centers. Contemporary population count data were combined with detailed satellite-derived settlement extents to map population distributions across Africa at a finer spatial resolution than ever before. Substantial heterogeneity in settlement patterns, population concentration and spatial accessibility to major population centres is exhibited across the continent. In Africa, 90% of the population is concentrated in less than 21% of the land surface and the average per-person travel time to settlements of more than 50,000 inhabitants is around 3.5 hours, with Central and East Africa displaying the longest average travel times. The analyses highlight large inequities in access, the isolation of many rural populations and the challenges that exist between countries and regions in providing access to services. The datasets presented are freely available as part of the AfriPop project, providing an evidence base for guiding strategic decisions.
机译:在一个国家的人口和定居点的空间分布及其互连和城市地区的可访问性对于提供医疗保健,分配资源和经济发展是重要的。然而,非洲的现有空间明确人口数据通常是基于过时的低分辨率的输入人口统计数据,并提供不充分的细节来量化农村沉降模式,从而准确地测量人口浓度和可访问性。在这里,我们概述了开发非洲新高分辨率人口分配数据集的方法,并分析对人口中心的农村可行性。当代人口计数数据与详细的卫星衍生的结算范围相结合,以便以比以往任何时候的更精细的空间分辨率地图非洲地图分布。在整个大陆上展出了沉降模式中的大量异质性,对主要人口中心的人口浓度和空间可行性。在非洲,90%的人口集中在不到21%的土地面积,每人旅行时间超过50,000名居民的定居点是3.5小时,中东和东非展示了最长的旅行时间。该分析突出了访问,孤立许多农村群体的孤立,以及各国和地区之间存在的挑战,提供服务。提供的数据集作为AFIPOP项目的一部分自由提供,为指导战略决策提供证据基础。

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