Modal split

The modal split is a formal metric that indicates the percentage share of each type of transport used by travellers. As such, the modal split tells how people move around the city and allows local administrators to make better informed decisions with a view to increase the share of sustainable mobility.

Data to calculate the modal split are usually collected through surveys. Qrowd offers the unique opportunity to bypass traditional methods (such as telephone interviews and paper questionnaires which have proved costly and inaccurate) and employ techniques which are able to guarantee a faster and more accurate data collection process:

  1. Data are collected from the citizens through a dedicated app called i-Log. The app collects data from the smartphone’s sensors (citizen sensing) and asks questions to validate or complement them
  2. The data collected through i-Log are analyzed using machine learning techniques to learn information about the trips made and consequently reduce the number of questions sent to the users
  3. Citizens are incentivized to actively partake in the collection of the data and are awarded prizes upon exceedance of predefined thresholds
  4. The modal split is calculated by aggregating the data and information collected from the citizens and is visualized graphically on the dashboard
The figure above shows an example of how the modal split can be visualized. The data about the types of transport used by the citizens to move around the city are aggregated and expressed as a pecentage.

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