Public Transport Passenger’s Density Estimation Tool for Supporting Policy Responses for COVID-19

Nilton A. Henao-Calle (), Mateo Arroyave-Quintero (), Semaria Ruiz-Alvarez () and Danny A. J. Gómez-Ramírez ()
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Nilton A. Henao-Calle: Instituto Tecnolólogico Metropolitano
Mateo Arroyave-Quintero: Instituto Tecnolólogico Metropolitano
Semaria Ruiz-Alvarez: Universidad Nacional de Colombia
Danny A. J. Gómez-Ramírez: Parque Tech at the Institución Universitaria Pascual Bravo and Visión Real Cognitiva S.A.S

Chapter Chapter 16 in Decision Sciences for COVID-19, 2022, pp 271-284 from Springer

Abstract: Abstract We propose a strategy for estimating the public transport system occupancy using open data. Specifically, we use the origin–destination matrix, the population density, and routes’ data to determine the traveler’s density in the public transportation vehicles. This density estimation is intended to serve as a data supply for the government and entities in charge of analyzing the contagions and the policies required to avoid the global propagation of COVID-19. We have taken as a study case, the Metropolitan area of the Aburrá Valley located in the department of Antioquia, Colombia.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-87019-5_16

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DOI: 10.1007/978-3-030-87019-5_16

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