Computing Accessibility Metrics for Argentina
Carolina Lang, Tobias Carreira, German Cesar Dima, Lucila Berniell,, Carlos Sarraute

TL;DR
This paper introduces an open-source tool for calculating accessibility metrics in Argentina, assessing distances and travel times across various modes of transport using large datasets and scalable algorithms.
Contribution
It develops a scalable, open-source tool utilizing open data to measure accessibility in Argentine cities, aiding policy and social equity efforts.
Findings
Successfully implemented scalable algorithms for large datasets.
Integrated open data sources like OpenStreetMap for accessibility analysis.
Provided a tool applicable for policy-making and social inclusion initiatives.
Abstract
We present a tool to calculate distances and travel times between a set of origins and a set of destinations, using different modes of transport in Argentina. The input data for the tool is a set of destinations (a geo-referenced list of points of city amenities or "opportunities", such as firms, schools, hospitals, parks, banks or retail, etc.) and a set of origins characterized by their geographic coordinates that could be interpreted as households or other. The tool determines, from each origin, which is the closest destination, depending on the distance or travel time and the mode of transport (on foot, by bicycle, by car, and by public transport). The sets of origins and destinations are large sets, which can contain up to several thousand points. We applied and developed algorithms to improve the scalability of the different parts of the procedure. For the public transportation…
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Taxonomy
TopicsUrban Transport and Accessibility · Human Mobility and Location-Based Analysis · Geographic Information Systems Studies
