Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7FY, UK.
Department of Natural Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands.
Nature. 2018 Jan 18;553(7688):333-336. doi: 10.1038/nature25181. Epub 2018 Jan 10.
The economic and man-made resources that sustain human wellbeing are not distributed evenly across the world, but are instead heavily concentrated in cities. Poor access to opportunities and services offered by urban centres (a function of distance, transport infrastructure, and the spatial distribution of cities) is a major barrier to improved livelihoods and overall development. Advancing accessibility worldwide underpins the equity agenda of 'leaving no one behind' established by the Sustainable Development Goals of the United Nations. This has renewed international efforts to accurately measure accessibility and generate a metric that can inform the design and implementation of development policies. The only previous attempt to reliably map accessibility worldwide, which was published nearly a decade ago, predated the baseline for the Sustainable Development Goals and excluded the recent expansion in infrastructure networks, particularly in lower-resource settings. In parallel, new data sources provided by Open Street Map and Google now capture transportation networks with unprecedented detail and precision. Here we develop and validate a map that quantifies travel time to cities for 2015 at a spatial resolution of approximately one by one kilometre by integrating ten global-scale surfaces that characterize factors affecting human movement rates and 13,840 high-density urban centres within an established geospatial-modelling framework. Our results highlight disparities in accessibility relative to wealth as 50.9% of individuals living in low-income settings (concentrated in sub-Saharan Africa) reside within an hour of a city compared to 90.7% of individuals in high-income settings. By further triangulating this map against socioeconomic datasets, we demonstrate how access to urban centres stratifies the economic, educational, and health status of humanity.
维持人类福祉的经济和人为资源在世界范围内分布不均,而是高度集中在城市。由于距离、交通基础设施和城市空间分布等因素,人们难以获得城市中心提供的机会和服务,这是改善生计和全面发展的主要障碍。提高全球可达性是联合国可持续发展目标“不让任何人掉队”的公平议程的基础。这再次推动了国际社会努力准确衡量可达性,并制定一个可以为发展政策的设计和实施提供信息的指标。唯一一次对全球可达性进行可靠测绘的尝试是在近十年前发表的,当时还没有可持续发展目标的基准,也没有包括基础设施网络的最近扩展,特别是在资源较少的环境中。与此同时,Open Street Map 和 Google 等新数据源现在以空前的细节和精度捕捉到了交通网络。在这里,我们通过整合十个全球尺度的表面来量化 2015 年城市旅行时间,并验证了一张地图,这些表面特征影响人类移动速度的因素,以及在一个既定的地理空间建模框架内的 13840 个高密度城市中心。我们的结果突出了相对于财富的可达性差距,50.9%的生活在低收入环境中的个人(集中在撒哈拉以南非洲)居住在一个小时车程内的城市,而 90.7%的高收入环境中的个人居住在一个小时车程内的城市。通过进一步将这张地图与社会经济数据集进行三角剖分,我们展示了城市中心的可达性如何使人类的经济、教育和健康状况出现分层。