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

doi:10.1109/INTERCON52678.2021.9532730

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

Universidad del Pacífico

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665412216
DOIs	https://doi.org/10.1109/INTERCON52678.2021.9532730
State	Published - 5 Aug 2021
Event	IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Peru Duration: 5 Aug 2021 → 7 Aug 2021 Conference number: 28th

Conference

Conference	IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Country/Territory	Peru
City	Virtual, Lima
Period	5/08/21 → 7/08/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

accessibility
machine learning
open data
Public service

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INTERCON52678.2021.9532730

Cite this

Rojas-Bustamante, L. P., Alatrista-Salas, H., Nunez-Del-Prado, M., & Chamorro, J. (2021). Using open data to quantify accessibility to multiple public services: The study case of Lima. In Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON52678.2021.9532730

Rojas-Bustamante, Leibnitz Pavel ; Alatrista-Salas, Hugo ; Nunez-Del-Prado, Miguel et al. / Using open data to quantify accessibility to multiple public services : The study case of Lima. Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021.

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Rojas-Bustamante, LP, Alatrista-Salas, H, Nunez-Del-Prado, M & Chamorro, J 2021, Using open data to quantify accessibility to multiple public services: The study case of Lima. in Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Virtual, Lima, Peru, 5/08/21. https://doi.org/10.1109/INTERCON52678.2021.9532730

Using open data to quantify accessibility to multiple public services: The study case of Lima. / Rojas-Bustamante, Leibnitz Pavel; Alatrista-Salas, Hugo; Nunez-Del-Prado, Miguel et al.
Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Rojas-Bustamante LP, Alatrista-Salas H, Nunez-Del-Prado M, Chamorro J. Using open data to quantify accessibility to multiple public services: The study case of Lima. In Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021 doi: 10.1109/INTERCON52678.2021.9532730

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

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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