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

Pontifical Catholic Univ. of Peru
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
Externally published	Yes
Event	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Peru Duration: 5 Aug 2021 → 7 Aug 2021

Publication series

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

Conference

Conference	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Country/Territory	Peru
City	Virtual, Lima
Period	5/08/21 → 7/08/21

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Public service
accessibility
machine learning
open data

Access to Document

10.1109/INTERCON52678.2021.9532730

Cite this

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. In 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).

@inproceedings{5d028185e09c45d4a0c5ac94831400ba,

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",

month = aug,

day = "5",

doi = "10.1109/INTERCON52678.2021.9532730",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

}

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. in 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, 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. / 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).

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

TY - GEN

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

UR - https://www.scopus.com/pages/publications/85116236632

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

ER -

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. 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. (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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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