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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulo de librorevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProduction and operations management
Subtítulo de la publicación alojadaPOMS Lima, Peru, December 2-4, 2021 (Virtual Edition)
EditoresJorge 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
EditorialSpringer
Páginas463-473
Número de páginas11
ISBN (versión digital)978-3-031-06862-1
ISBN (versión impresa)978-3-031-06861-4
DOI
EstadoPublicada - 2022
EventoProduction and Operations Management Society - Lima - Pontificia Universidad Católica del Perú , Lima, Perú
Duración: 2 dic. 20214 dic. 2021
https://congreso.pucp.edu.pe/poms/es/organizacion/?seccion=comite-organizador

Serie de la publicación

NombreSpringer Proceedings in Mathematics and Statistics
Volumen391
ISSN (versión impresa)2194-1009
ISSN (versión digital)2194-1017

Conferencia

ConferenciaProduction and Operations Management Society - Lima
Título abreviadoPOMS Lima
País/TerritorioPerú
CiudadLima
Período2/12/214/12/21
Dirección de internet

Nota bibliográfica

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

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