UrbanPy: A library to download, process and visualize high resolution urban data to support transportation and urban planning decisions

Andres Regal, Claudio Ortega, Antonio Vazquez Brust, Michelle Rodriguez, Patricio Zambrano-Barragan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Research demonstrates that the large-scale access and analysis to data can help cities plan for more inclusive and efficient growth. However, policy makers and researchers around the world still lack sufficient access to granular and dynamic sources of data – a challenge that has come to prominence as cities attempt to respond to the local impacts of the COVID-19 pandemic. To address this challenge, this paper presents UrbanPy, a new open-source library that makes the automated collection, processing, and visualization of spatial urban data simple and consistent for cities. UrbanPy, first developed as a tool to help Latin American cities design rapid responses to COVID-19, presents six innovative capabilities for researchers and practitioners focused on data collection, processing and visualization. To illustrate the potential applications of UrbanPy, this paper presents a case study from Lima, Peru, where the library helped municipal leaders with their COVID-19 response by identifying vulnerable populations, creating food accessibility metrics, and optimizing the location of food supply facilities.

Original languageEnglish
Title of host publicationProduction and operations management
Subtitle of host publicationPOMS Lima, Peru, December 2-4, 2021 (Virtual Edition)
EditorsJorge Vargas Florez, Irineu de Brito Junior, Adriana Leiras, Sandro Alberto Paz Collado, Miguel Domingo González Alvarez, Carlos Alberto González-Calderón, Sebastian Villa Betancur, Michelle Rodríguez, Diana Ramirez-Rios
Number of pages11
ISBN (Electronic)978-3-031-06862-1
StatePublished - 2022
EventProduction and Operations Management Society - Lima - Pontificia Universidad Católica del Perú , Lima, Peru
Duration: 2 Dec 20214 Dec 2021

Publication series

NameSpringer Proceedings in Mathematics and Statistics
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017


ConferenceProduction and Operations Management Society - Lima
Abbreviated titlePOMS Lima
Internet address

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Transportation
  • Urban data
  • Urban planning decisions


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