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Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic.
Vallejo-Borda, Jose Agustin; Giesen, Ricardo; Basnak, Paul; Reyes, José P; Mella Lira, Beatriz; Beck, Matthew J; Hensher, David A; Ortúzar, Juan de Dios.
  • Vallejo-Borda JA; BRT+ Centre of Excellence, Vicuña Mackenna 4860, Macul, Santiago, Chile.
  • Giesen R; Department of Transport and Logistics Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago, Chile.
  • Basnak P; Departamento de Ingeniería Civil, Universidad de Investigación y Desarrollo, Bucaramanga, Colombia.
  • Reyes JP; Departamento de Ingeniería Civil, Universidad de Cartagena, Cartagena de Indias, Colombia.
  • Mella Lira B; BRT+ Centre of Excellence, Vicuña Mackenna 4860, Macul, Santiago, Chile.
  • Beck MJ; Department of Transport and Logistics Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago, Chile.
  • Hensher DA; BRT+ Centre of Excellence, Vicuña Mackenna 4860, Macul, Santiago, Chile.
  • Ortúzar JD; Department of Transport and Logistics Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago, Chile.
Transp Res Part A Policy Pract ; 164: 186-205, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1984150
ABSTRACT
During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e., Bogotá, Buenos Aires, Lima, Quito and Santiago). A decline in public transport patronage could be very bad news for these cities in the long term, particularly if users change to less sustainable modes, such as cars or motorbikes. Notwithstanding, it could be even beneficial if users selected more sustainable modes, such as active transport (e.g., bicycles and walking). To better understand this phenomenon in the short term, we conducted surveys in these five cities looking for the main explanation for changes from public transport to active and private modes in terms of user perceptions, activity patterns and sociodemographic information. To forecast people's mode shifts in each city, we integrated both objective and subjective information collected in this study using a SEM-MIMIC model. We found five latent variables (i.e., COVID-19 impact, Entities response, Health risk, Life related activities comfort and Subjective well-being), two COVID-19 related attributes (i.e., new cases and deaths), two trip attributes (i.e., cost savings and time), and six socio-demographic attributes (i.e., age, civil status, household characteristics, income level, occupation and gender) influencing the shift from public transport to other modes. Furthermore, both the number of cases and the number of deaths caused by COVID-19 increased the probability of moving from public transport to other modes but, in general, we found a smaller probability of moving to active modes than to private modes. The paper proposes a novel way for understanding geographical and contextual similarities in the pandemic scenario for these metropolises from a transportation perspective.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Transp Res Part A Policy Pract Year: 2022 Document Type: Article Affiliation country: J.tra.2022.08.010

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Transp Res Part A Policy Pract Year: 2022 Document Type: Article Affiliation country: J.tra.2022.08.010