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Traditional travel surveys rely on the respondents to remember exactly how they have travelled, which is not always so easy. TravelVu has a much more trustworthy memory. With TravelVu, information is collected on where users travel, and this information can then be visualised to provide a better understanding of how the traffic network is used. Because TravelVu collects data over several days as opposed to one day in a traditional travel survey, it is possible to study and understand travel habits.
The ways in which we travel lay the basis for how many traffic planning decisions are made in municipalities and regions. The response rate for traditional travel surveys, whether through paper surveys or web-based surveys, has dropped significantly in recent years, making these surveys expensive to carry out. There can also be shortcomings in the information collected, including forgotten trips, especially short trips on foot, and the user’s inaccuracy of estimating time and distance travelled. This is what led Trivector to develop TravelVu – an app for travel surveys. The app has already been tried and tested for comprehensive surveys in several municipalities.
Travel surveys rely on the respondents to remember exactly how they have travelled. This has been proven to be more difficult than one would think, especially for trips that deviate from the ‘usual’ travel routine. But with TravelVu, can one capture all journeys as they are on route, which means that we can collect data on more trips, especially trips done by foot, but also trips to leisure and service destinations. Results closer to reality! In addition, the app provides better estimates of travel length and time, which is important, among other things for climate calculations.
With traditional surveys you capture the starting point and the destination, but no information is gathered on the route travelled. With TravelVu, information is collected wherever you travel which can be visualised to create a better understanding of how the traffic network is used. Analyses of the geographical information collected can also answer questions such as: how much of the priority bicycle network is used, if men and women use the traffic network in different ways, and where cycling speeds increase and decrease?
Because TravelVu collects data over several days and not just one day like traditional surveys, makes it possible to study habitual travel. Who is most often driving by car, biking, taking public transport? What attitudes do commuters have? When do they choose other modes of transport? What do those who vary in transport mode look like? This knowledge is central to successful work on behavioural change.
Contact us and let us know if you are interested. We can explore ideas about how we can help your organization!
Lovisa Indebetou
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