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

In: Decision Sciences for COVID-19

Author

Listed:
  • 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)

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.

Suggested Citation

  • Nilton A. Henao-Calle & Mateo Arroyave-Quintero & Semaria Ruiz-Alvarez & Danny A. J. Gómez-Ramírez, 2022. "Public Transport Passenger’s Density Estimation Tool for Supporting Policy Responses for COVID-19," International Series in Operations Research & Management Science, in: Said Ali Hassan & Ali Wagdy Mohamed & Khalid Abdulaziz Alnowibet (ed.), Decision Sciences for COVID-19, chapter 0, pages 271-284, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-87019-5_16
    DOI: 10.1007/978-3-030-87019-5_16
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