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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión 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 original	Inglés
Título de la publicación alojada	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665412216
DOI	https://doi.org/10.1109/INTERCON52678.2021.9532730
Estado	Publicada - 5 ago. 2021
Publicado de forma externa	Sí
Evento	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Perú Duración: 5 ago. 2021 → 7 ago. 2021

Serie de la publicación

Nombre	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

Conferencia

Conferencia	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
País/Territorio	Perú
Ciudad	Virtual, Lima
Período	5/08/21 → 7/08/21

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/INTERCON52678.2021.9532730

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Bustamante, L. P. R., 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. En Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 (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

Bustamante, Leibnitz Pavel Rojas ; 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. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021).

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title = "Using Open Data to Quantify Accessibility to Multiple Public Services: The Study Case of Lima",

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.",

keywords = "Public service, accessibility, machine learning, open data",

author = "Bustamante, {Leibnitz Pavel Rojas} and Hugo Alatrista-Salas and Miguel Nunez-Del-Prado and Joseph Chamorro",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 ; Conference date: 05-08-2021 Through 07-08-2021",

year = "2021",

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Bustamante, LPR, 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. En Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Institute of Electrical and Electronics Engineers Inc., 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Virtual, Lima, Perú, 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. / Bustamante, Leibnitz Pavel Rojas; 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. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Using Open Data to Quantify Accessibility to Multiple Public Services

T2 - 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

AU - Bustamante, Leibnitz Pavel Rojas

AU - Alatrista-Salas, Hugo

AU - Nunez-Del-Prado, Miguel

AU - Chamorro, Joseph

PY - 2021/8/5

Y1 - 2021/8/5

N2 - 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.

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.

KW - Public service

KW - accessibility

KW - machine learning

KW - open data

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U2 - 10.1109/INTERCON52678.2021.9532730

DO - 10.1109/INTERCON52678.2021.9532730

M3 - Conference contribution

AN - SCOPUS:85116236632

T3 - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

BT - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 5 August 2021 through 7 August 2021

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Bustamante LPR, Alatrista-Salas H, Nunez-Del-Prado M, Chamorro J. Using Open Data to Quantify Accessibility to Multiple Public Services: The Study Case of Lima. En Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021). doi: 10.1109/INTERCON52678.2021.9532730

Using Open Data to Quantify Accessibility to Multiple Public Services: The Study Case of Lima

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