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  • 1
    Language: English
    Pages: 1 Online-Ressource (18 pages)
    Parallel Title: Erscheint auch als Stokenberga, Aiga A Net Cure or Curse? Tracking the Impact of E-Commerce on Urban Freight Transport Intensity in Bogota and Buenos Aires
    Keywords: Big Data ; E-Commerce ; Mobility ; Pandemic ; Retail Shopping Trips ; Transport ; Urban Freight
    Abstract: The growth of e-commerce has the potential to reduce shopping-related travel but brings with it additional freight vehicle trips for the delivery of online orders to consumers. Understanding the overall net effect of e-commerce on urban trip intensity is essential for planning transport infrastructure and services. The paper analyzes how the growth of e-commerce is impacting mobility in Bogota and Buenos Aires. The demand for e-commerce grew in both cities during the COVID-19 pandemic (2019-21), mostly among higher income groups. Despite the significant potential for replacing private vehicle trips, the analysis finds little evidence that the growth of e-commerce is having a significant substitution effect on shopping trips. Overall, e-commerce currently generates more traffic than it avoids in both Bogota and Buenos Aires, and, thus, is very likely to continue to add to the road traffic in the two metropolitan areas in the near future
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  • 2
    Language: English
    Pages: 1 Online-Ressource (22 pages)
    Parallel Title: Erscheint auch als Stokenberga, Aiga The COVID-19 Mark on Urban Mobility: A Tale of two Cities' Journey to Recovery
    Keywords: Big Data ; COVID-19 Impact ; COVID-19 Pandemic ; Mobility ; Pre and Post-Pandemic Travel ; Rural Development ; Rural Roads and Transport ; Transport Policy ; Urban Transport
    Abstract: The COVID-19 pandemic significantly changed mobility patterns in the Bogota and Buenos Aires metropolitan areas, as shown by the differences between the October 2019, 2020, and 2021 indicator values derived from call detail record-based origin-destination matrices. The differences between 2019 and 2020 were more notable than between 2019 and 2021 on most mobility indicators, demonstrating a reversal of the pre-pandemic mobility habits. However, by late 2021, the return to pre-pandemic levels was still very partial in the case of public transport use (especially so in Buenos Aires), while in Bogota the pandemic appeared to have induced a permanent-and increasing-shift to nonmotorized modes. Other mobility indicators that appear to have changed more permanently in Bogota include the lower average distances traveled and the relatively higher importance of non-home-based mobility. In the Buenos Aires Metropolitan Area, the key persistent changes include the lower overall trip generation rates and specifically peak-hour travel, and the higher relative weight of travel to work and school compared to other travel purposes. These findings are partly explained by the underlying policy and regulatory context in the two cities and are relevant for designing transport policy in the post-pandemic context, including in terms of public transport route and schedule planning, cycleway network expansion, and, more broadly, the leveraging of big data as a complement to traditional mobility surveys
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  • 3
    Language: English
    Pages: 1 Online-Ressource (14 pages)
    Parallel Title: Erscheint auch als Stokenberga, Aiga Leveraging Big Data to Understand Women's Mobility in Buenos Aires
    Keywords: Gender ; Gender and Economic Policy ; Gender and Public Expenditures ; Gender and Transportation ; Gender Informatics ; Gender Norms ; ICT Data and Statistics ; Information and Communication Technologies ; Mobility ; Transportation Planning ; Urban Transport ; Women and Public Transportaton ; Women's Agency
    Abstract: While the travelers' gender has not been a central consideration driving urban mobility planning, increasing evidence points to gender-differentiated mobility preferences and behaviors. This paper explores this topic in the context of the Buenos Aires Metropolitan Area, aiming to identify policy relevant differences between the mobility of women and men. It does so by leveraging mobile phone--based data, combined with existing household travel survey data and an original large-scale interception survey implemented in late 2021 and early 2022. The paper provides descriptive analysis of key spatial and temporal mobility patterns as well as implements statistical analysis to identify whether gender represented a key determinant of mode choice in the context of the pandemic. The analysis finds that women in the Buenos Aires Metropolitan Area travel less, tend to have shorter individual trips, and are much more likely than men to travel during off-peak hours, including due to disproportionately taking on "care mobility" responsibilities. In terms of mode choices, women represent the majority of public transport users and are more likely than men to say they would cycle. However, women's share among public transport users and their actual cycling and walking appear to be spatially correlated with, respectively, the availability of public transport services and dedicated, safe infrastructure. The travel responses to the pandemic documented in the original survey data also suggest that women are more likely than men to switch from public transport to private motorized modes as soon as their incomes allow them to unless appropriate health safety measures are put in place
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