Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile

The Influence of the COVID-19 Pandemic on Travel Behaviour in the Greater Copenhagen Area

“…Finally, Pozo et al [14] found a high correlation between neighborhood income levels and the local decline in PT ridership, thus confrming that lower-income areas sufered a lower decrease in ridership due to greater reliance on PT. Tis is in line with fndings from Lahore, Pakistan, where high-income passengers were less likely to use PT during the pandemic [28], and from Santiago, Chile, where work trips decreased more in high-income compared to low-income areas [27].…”

“…In Daejon, South Korea, bus usage dropped most during the daytime and weekends [12]; in Taipei, Taiwan, the largest reductions were observed during peak hours compared to of-peak [3]; and in Chicago, USA, the largest drops were observed among commuters rather than leisure travellers [26]. Similar fndings were observed in Santiago, where the share of work trips increased and leisure trips decreased [27]. Considering the changes across geographical areas, Kim et al [12] found reductions to be larger in crowded areas, such as commercial areas, and in high-income areas compared to lower-income areas.…”

“…In Tessaloniki, among university travellers, the number of frequent users had dropped around 75% by mid-2021 [25], and in Istanbul, the demand for PT was still much lower in mid-2021 than before the pandemic among students [31]. In Santiago, Chile, Pezoa et al [27] found that travel had dropped 95.6% by mid-2020, and by late 2021, it had only rebounded to 48.8% of prepandemic levels.…”

“…To the knowledge of the authors, very few studies have conducted specifc passenger-type analyses using AFC data. Wang et al [29] and Pozo et al [14] focused solely on shortterm impacts evaluated within the frst year of the pandemic in fall 2020, whereas Pezoa et al [27] analysed impacts in both July 2020 and October 2021, thus extending coverage beyond short-term impacts. Terefore, there remains a research gap in analysing the individual travel behaviour of PT users over time using large-scale revealed-preference data, especially considering that PT ridership can be expected to remain at much lower levels than pre-COVID-19 considering the large impacts on teleworking, hence afecting commuting patterns signifcantly [32].…”

“…Tis is in line with previous research from Abdullah et al [38], which also found a large drop in commuting trips and a large increase in shopping trips, which corresponds to errands in this analysis. However, Pezoa et al [27] found a large decrease in errands and leisure trips, with most trips conducted still being commuting trips, potentially due to specifc restrictions and curfews limiting non-necessary travel. Figure 3 shows the modal shares across walking, bicycling, PT, and car.…”