Using open data to quantify accessibility to multiple public services: The study case of Lima

Leibnitz Pavel Rojas-Bustamante, Hugo Alatrista-Salas, Miguel Nunez-Del-Prado, Joseph Chamorro

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In recent years, accessibility has been widely studied in different domains, like transportation, health, governmental services, parks, and jobs. However, these studies present limitations regarding the number of analyzed services and the limited data access. Therefore, we propose a new accessibility metric to solve both problems, considering six different public services using open data from Open Street Maps. The idea behind this approach is to group deprived zones from public services access. We perform our study in Lima city, which is one of the most populated cities in South America.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665412216
DOI
EstadoPublicada - 5 ago. 2021
EventoIEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Perú
Duración: 5 ago. 20217 ago. 2021
Número de conferencia: 28th

Conferencia

ConferenciaIEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
País/TerritorioPerú
CiudadVirtual, Lima
Período5/08/217/08/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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