Understand how people make their journeys at scale, quickly and accurately
PlaceDashboard Analytics leverages mobile GPS data combined with artificial intelligence and machine learning to accurately understand peoples journeys including mode of transport, where journeys begin and end and the reason for travel.
Traditional manual survey approaches are expensive, time consuming and subject to inaccuracies. PlaceDashboard solves these issues. PlaceDashboard has over 24 months of historical movement data enabling immediate analysis of any town, street or leisure area.
Analyse by journey distance, origins by postcode areas, modal splits, peak and of peak travel corridors and much more…
Journey Origin
Discover where journeys into town centres originate from by distance e.g. share of journeys originating within 2km or postcode area and filter by month, day of week, time of day and by mode of travel including walking, car, train and cycling.
Journey Corridors
Easily understand which routes people use to travel into and between towns. With no requirement for hardware, all streets, bus routes and rail corridors can be analysed. Filter by resident, worker or tourist. Leverage historical data to track trends and measure regeneration investment and the recent impact of Covid-19.
Transport Hub Destination
PlaceDashboard Journey Analytics provides transport planners with a comprehensive understanding of why and where people travel to after leaving a car park, bus station, train station or airport. Make informed decisions based on real up to date movement flow data.
And So Much More….
Utilise PlaceDashboard Journey Analtics insight to make fact based decisions
Tourists
Explore where UK tourists originate from and what they do during their stay
Time of Day
Filter month of year, by day of week or time of day to understand seasonality and time impacts
Workers
Analyse worker journey patterns and engagement with the town centre
Rat Runs
Identify where car journeys are creating congestion on minor roads
Cycling Routes
Understand routes currently used by cyclists
Reason for Journey
Have knowledge of reason for journey including category, store and street area
