A new comparative framework for estimating the road access of airports around the world at high resolution is proposed. While existing studies are spatially constrained and often require hand-collection of data, this framework relies on freely available datasets at planet scale: Population density database Gridded Population of the World and transportation infrastructure database Openstreetmap. Access profiles from the airport-centric view (how many passengers are close to a fixed airport) and the population-centric view (how many airports are close to certain grid cells) are presented as well. Several characteristic values for airport road access are obtained, taking into account the competitive effects among nearby airports. It is found that in Europe and North America, more than 90% of the population can reach at least one airport within 90 minutes. In Southeast Asia, the value is much lower: only 44%. Moreover, an airport typology based on dominating access is derived and it is shown that airport road access types are significantly different throughout countries in the world.

中文翻译：

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使用人口网格和Openstreetmap进行星球规模的机场道路访问

提出了一个新的比较框架，用于以高分辨率估算世界各地机场的道路通行情况。尽管现有研究在空间上受到限制并且经常需要手工收集数据，但该框架依赖于行星尺度上可免费获得的数据集：人口密度数据库世界网格人口和交通基础设施数据库Openstreetmap。还显示了从以机场为中心的视图（有多少乘客接近一个固定的机场）和以人口为中心的视图（有多少个机场靠近某些网格）的访问配置文件。考虑到附近机场之间的竞争影响，获得了机场道路通行的几个特征值。发现在欧洲和北美，90分钟内，超过90％的人口可以到达至少一个机场。在东南亚，这一价值要低得多：只有44％。此外，推导了基于主导通道的机场类型学，结果表明，在世界上各个国家/地区，机场道路通道类型都存在显着差异。