Assessment of the socio-spatial effects of urban transport investment using Google Maps API

Andrés Fielbaum, Sergio Jara-Diaz

Research output: Contribution to journalArticleScientificpeer-review

Abstract

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.

Original languageEnglish
Article number102993
Number of pages12
JournalJournal of Transport Geography
Volume91
DOIs
Publication statusPublished - 2021

Keywords

  • Effect of highways
  • Impact on socio-economic groups
  • Time-advantage to switch to car
  • Use of Google Maps API

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