We analyze the spatially distributed impacts of transport investment in urban highways and public transport with a novel methodology based on the capabilities of online technology to replicate the (unobserved) condition without highways. This is based upon the intensive use of Google Maps API (GMA) to obtain travel times between each origin-destination pair at a highly detailed level to reveal the effects of new infrastructure on different zones and groups within a city. Santiago is used as a case study, as the city introduced 150 km of urban highways, a reorganization of surface transit, and new subway lines in a relatively short period. We show that the high-income segment of the population has been the most favored, simultaneously increasing the difference between transit and car travel times in those areas where car ownership is low, stimulating the acquisition of a car.

我们使用一种基于在线技术的能力的新颖方法来分析城市公路和公共交通运输投资在空间分布上的影响，该技术可以复制没有高速公路的（未观察到的）状况。这是基于大量使用Google Maps API（GMA）来获取每个起点-终点对之间的旅行时间的高度详细信息，以揭示新基础设施对城市中不同区域和群体的影响。以圣地亚哥为例，该城市在较短的时间内引入了150公里的城市高速公路，重组了地面交通，并新建了地铁线路。我们显示，高收入人群一直是最受青睐的人群，同时在汽车拥有量较低的那些地区，过境时间和汽车出行时间之间的差异越来越大，