New ways to show data


Men travel more by car than women, who travel more by public transport. But how does that look over a 24-hour cycle, and what does it look like for different age groups?

Data from TravelVu gives us new possibilities to understand travel behaviour. The data from TravelVu is different from classic (paper or telephone-based) travel surveys because we have more accuracy over time, data collected over longer periods and also geographical data. The “big data” that we collect with TravelVu is also more suitable to new analysis methodologies, so we don’t just use Excel to create summaries and bar charts.

In the graphic below, we have aggregated data from 69 284 travel days and 865 unique respondents, all from Sweden. The data is weighted to show a representation of Swedish population. On the top is number people at different activities at different times. The data collected partially during the Covid pandemic, which means that there are a lot of people at home. On the bottom is the modes of transport that people take at different times of day. Graphic 1 shows the split across different age groups, and graphic 2 the split between men and women. We have split the data into 5min time segments.


It is of interest to note that older generations have considerable travel by car outside of peak hours, and that younger people are more likely to take public transport at night. What interesting insights do you take from the data? Are there other analyses you would be interested in doing?

For more information about the new ways to show data, please contact Anna.

Anna Clark