Analysing Gendered Mobility Patterns in Barcelona Through Spatiotemporal Segmentation
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This paper analyzed gendered mobility patterns in Barcelona by segmenting spatiotemporal data to identify distinct movement behaviors.
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Abstract
Citizens take part in different activities to satisfy their needs, to invest in their socio-economic progress, participate in social and health activities that improve their well-being. However, activity participation is influenced by many factors in the built environment, but also individual’s attributes. Herein we analyze activity participation and travel through sequence analysis. This method explores sequences of daily activity and travel employing techniques from the sequencing of events in the life course of individuals. Studying sequences of daily episodes (each activity and each trip) considers the entire trajectory of a person’s activity during a day while at the same time considering the number of activities, order of activities in a day, and their durations jointly. We applied this method to a sample of residents in the Metropolitan Area of Barcelona (RMB) in the 2018, 2019 and 2020 EMEF Travel Surveys. The EMEF2020 deserves a particular analysis since activity patterns are expected to vary compared to pre-COVID19 spread. We have focused on that fragmentation in activity participation over the mean among persons in specific gender, age, activity and transportation mode.
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- last seen: 2026-05-19T01:45:01.086888+00:00