Parking is a central factor in people’s access to different destinations. Every car and bicycle journey starts and ends with parking. Parking is also very space-intensive and expensive to build, which makes it an important consideration for deciding how and where parking should be built for the best possible results. With TravelVu data we can get a better understanding on how parking can be planned and regulated for both good accessibility and efficient usage.
Parking is a central factor in people’s access to different destinations and at the same time space-intensive and expensive. We still often know far too little about how parking is used, which means evidence and facts get replaced by guessing and preconceived notions. With TravelVu data we can get a better understanding on how parking can be planned and regulated for both good accessibility and efficient and use.
TravelVu data can be used to find out what the parking demand looks like for different groups, for example residents, employees, visitors, and shoppers, thus providing a basis for a better adapted range of parking and with more efficient land use. If several different people can use the same parking spot, at different times of the day and week, the area of the city used for parking could be used for other community activities or better pedestrian and bicycle lanes. All this while not compromising accessibility, rather it is strengthened if space is freed up for sustainable traffic and different mobility services.
How are parking spaces used at destinations, for example in connection with central shops? Which destinations are visited by car and which by other means of transport? How long do customers park for different types of cases and how long are the parking distances between parking and shops, schools, and other destinations? By analysing detailed travel data in combination with local regulation of parking spaces, it is possible to investigate how customers’ behaviour is affected by different types of regulations such as time limitations or fees. TravelVu data offers new opportunities that would otherwise entail very costly field studies.
How much of the traffic in our cities is caused by the search for available parking spaces? TravelVu provides the opportunity to identify traffic on the way to a parking lot and analyse their driving patterns and speed profile in relation to other traffic. Such analyses provide and understanding of how traffic and parking systems in the city work and can provide input for decisions on signage and parking fees.
Contact us and let us know if you are interested. We can explore ideas about how we can help your organization!