Skip to main content

MAPping public transport and parking data

The Australian city of Adelaide, which has embarked on a 30-year urban development plan, is piloting Xerox’s new Mobility Analytics Platform (MAP) to improve its public transport services by analysing people flows between different sectors of the city. The recently-introduced analytics platform analyses the anonymous data created by the daily transportation and ticket-buying habits of millions of commuters and produces a new city-wide picture of transportation operations including adherence to schedules
February 9, 2015 Read time: 2 mins
The Australian city of Adelaide, which has embarked on a 30-year urban development plan, is piloting 4186 Xerox’s new Mobility Analytics Platform (MAP) to improve its public transport services by analysing people flows between different sectors of the city.

The recently-introduced analytics platform analyses the anonymous data created by the daily transportation and ticket-buying habits of millions of commuters and produces a new city-wide picture of transportation operations including adherence to schedules, passenger-loading levels and car park utilisation rates.

Using data analytics algorithms and visualisation technology from the Xerox Research Centre Europe, it can predict, for example, where passengers will alight and the impact of varying factors such as running ahead or behind schedule and the weather.

In Paris, Vinci Park is testing the system in Neuilly, in the western suburbs of the city, where it manages on- and off-street parking. The operator is using MAP to better understand how its off-street car parks are used. In a second step, this parking information will be combined with MAP’s advanced customer profiling features to predict future demand for parking, inform Vinci Park on how to modify prices, identify when extra access lanes are required or even where new car parks should be created.

"MAP gives operators the keys to improving the quality and adoption of services,” said Jo van Onsem, group president, International Public Sector, Xerox.

“With MAP we now have a user friendly graphical tool that allows us to analyse quickly and accurately the use and revenues of our car parks,” said Albert Feuga, director, Parking Management System, Vinci Park. “MAP also allows us to understand the behaviour of our customers and better anticipate demand and manage flows.”

Related Content

  • Growth of smart parking market and parking reservation systems
    August 6, 2015
    ReportsnReports.com’s latest research report, Global Smart Parking Market 2015-2019 says increased use of data analytics to optimise parking is one of the key trends being witnessed in this market across the globe. The research discusses trends, forecasts and growth prospects segmented by geography along with information on leading players of the worldwide industry. Data analytics software is predominantly used these days to provide better parking facilities to consumers. Data analytics provide an approp
  • Flexible, demand-based parking charges ease parking problems
    April 10, 2012
    Innovative parking initiatives on the US Pacific Coast. David Crawford reviews. Californian cities are leading the way in trialling new solutions to their endemic parking problems. According to Donald Shoup, a professor of urban planning at the University of California in Los Angeles, drivers looking for available spots can cause up to 74% of traffic congestion in downtown areas. One solution is variable, demand-responsive pricing of parking.
  • Flexible, demand-based parking charges ease parking problems
    April 10, 2012
    Innovative parking initiatives on the US Pacific Coast. David Crawford reviews. Californian cities are leading the way in trialling new solutions to their endemic parking problems. According to Donald Shoup, a professor of urban planning at the University of California in Los Angeles, drivers looking for available spots can cause up to 74% of traffic congestion in downtown areas. One solution is variable, demand-responsive pricing of parking.
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -