indicators available for the specific neighborhood blocs, specifically, the share of households with “unsatisfied basic needs” ( _Necesidades Básicas Insatisfechas_ , NBI) available from the National Institute of Statistics and Census of Argentina (INDEC) at the census radius level for most of the study area. Additional details on the methodology used and the broader set of results obtained are available in Stokenberga _et al_ . (2023).

**Complementing the CDR-based analysis, the study team implemented two sets of field surveys in late 2021 and early 2022** . These included an overall interception survey with 20,306 car and motorcycle users to better understand the overall motivations for private vehicle use (including the considerations associated with the COVID-19 pandemic), followed by a phone-based stated preference survey with 600 car and motorcycle users to identify their willingness to switch to alternative modes depending on factors such as hypothetical changes in travel times and costs. This data collection effort was conducted in close collaboration with the Government or the City of Buenos Aires and was informed by its parallel data collection activities (e.g., vehicle counts at pre-determined points across the urban area). The survey randomly intercepted drivers of motorized vehicles that stopped at 25 predetermined points (service stations and parking lots), and the final sampling ensured that the survey sample meets predetermined (based on previous travel surveys) quotas of women and men that travel by car or by motorcycle and that live in CABA versus PBA. The sampling was adjusted to the approximate volume of traffic at the mentioned points and considered peak and off-peak hours based on data provided by the Secretariat of Transportation and Public Works of CABA.

**Based on the collected data, the study team analyzed overall differences in mobility behaviors and stated preferences** between male and female car and motorcycle users and implemented regression analysis to estimate the importance of various personal and trip attributes (including gender) in determining the odds of switching to private modes only since the start of the pandemic. Specifically, the analysis applies a logistic regression model with the dependent variable being a binary yes/no of whether the person is a new user of private motorized modes as compared to the pre-pandemic period.

**Finally, where relevant, the analysis highlights results based on the most recent public household travel survey** for the Buenos Aires metropolitan region (ENMODO 2018), whose official results were published by the government in 2022.

# **3. MAIN FINDINGS**

**The first key finding of the analysis is that women in AMBA tend to travel less, even though their trips may be organized into more complex trip chains with multiple trip purposes and stops** . According to the CDR-based analysis, in 2021, men in AMBA made about 19.3 million trips per day, compared to 18.8 million trips by women. However, while the total number of trips by men versus women was higher in the younger age groups (up to 44 years of age), among the older age groups the number of trips made by women was higher, especially in the >64 age group where women were estimated to make 2.1 million daily trips compared to 1.7 million among men (Figure 1). Of course, the _total_ trips may not represent the gender specificity of travel patterns perfectly given that the number of men and women traveling differs in the first place – especially in the older age group the number of women in AMBA significantly exceeds