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A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system

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  • Juan D. Garcia-Arteaga
  • Laura Lotero

Abstract

The global COVID-19 crisis has severely affected mass transit in the cities of the global south. Fear of widespread propagation in public spaces and the dramatic decrease in human mobility due to lockdowns have resulted in a significant reduction of public transport options. We analyze the case of TransMilenio in Bogotá, a massive Bus Rapid Transit system that is the main mode of transport for an urban area of roughly 10 million inhabitants. Concerns over social distancing and new health regulations reduced the number of trips to under 20% of its historical values during extended periods of time during the lockdowns. This has sparked a renewed interest in developing innovative data-driven responses to COVID-19 resulting in large corpora of TransMilenio data being made available to the public. In this paper we use a database updated daily with individual passenger card swipe validation microdata including entry time, entry station, and a hash of the card’s ID. The opportunity of having daily detailed minute-to-minute ridership information and the challenge of extracting useful insights from the massive amount of raw data (∼1,000,000 daily records) require the development of tailored data analysis approaches. Our objective is to use the natural representation of urban mobility offered by networks to make pairwise quantitative similarity measurements between daily commuting patterns and then use clustering techniques to reveal behavioral disruptions as well as the most affected geographical areas due to the different pandemic stages. This method proved to be efficient for the analysis of large amount of data and may be used in the future to make temporal analysis of similarly large datasets in urban contexts.

Suggested Citation

  • Juan D. Garcia-Arteaga & Laura Lotero, 2023. "A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system," Environment and Planning B, , vol. 50(4), pages 983-999, May.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:4:p:983-999
    DOI: 10.1177/23998083221150646
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    References listed on IDEAS

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    1. Luis A. Guzman & Daniel Oviedo & Rafael Cardona, 2018. "Accessibility Changes: Analysis of the Integrated Public Transport System of Bogotá," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    2. Hidalgo, Darío & Pereira, Liliana & Estupiñán, Nicolás & Jiménez, Pedro Luis, 2013. "TransMilenio BRT system in Bogota, high performance and positive impact – Main results of an ex-post evaluation," Research in Transportation Economics, Elsevier, vol. 39(1), pages 133-138.
    3. Alfonso Orro & Margarita Novales & Ángel Monteagudo & José-Benito Pérez-López & Miguel R. Bugarín, 2020. "Impact on City Bus Transit Services of the COVID–19 Lockdown and Return to the New Normal: The Case of A Coruña (Spain)," Sustainability, MDPI, vol. 12(17), pages 1-30, September.
    4. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    5. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    6. Élise Labonté-LeMoyne & Shang-Lin Chen & Constantinos K. Coursaris & Sylvain Sénécal & Pierre-Majorique Léger, 2020. "The Unintended Consequences of COVID-19 Mitigation Measures on Mass Transit and Car Use," Sustainability, MDPI, vol. 12(23), pages 1-13, November.
    7. Marco Dueñas & Mercedes Campi & Luis E. Olmos, 2021. "Changes in mobility and socioeconomic conditions during the COVID-19 outbreak," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    8. Florin Pop & Ciprian Dobre, 2012. "An Efficient PageRank Approach for Urban Traffic Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-9, July.
    9. Thombre, Anurag & Agarwal, Amit, 2021. "A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity," Transport Policy, Elsevier, vol. 110(C), pages 335-353.
    10. Erjia Yan & Ying Ding, 2009. "Applying centrality measures to impact analysis: A coauthorship network analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2107-2118, October.
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