Mobility data can come from conventional counters or surveys. Big data, however, brings with it many new sources which offer exploitable location and travel data. These include smartphones, social media, TomTom, Vaze, Google, or other geolocation-based services. Other new sources include the public or private transport providers responsible for car-sharing stations, e-car charging points, bike-sharing stations, or car-pooling services. Data on activities such as cycling and walking are easier to collect than in the past, etc.
All of this new data can be sorted into categories, including, at least:
- Cartographic, weather data;
- Personal location data;
- Data on: transport schedules, fares and prices, network disruptions, planned events, real-time network capacity for people, vehicles & goods;
- Vehicle location data;
- Performance evaluation data from service users and non-users; third party service usage data; and payment/transaction data;
- Information about disabled access, lifts, etc. for improved inclusivity.
 Origin-destination studies, traffic counters, etc.
 Data and digital systems for UK transport: change and its implications, Dr Caitlin D Cottrill, UK Govt Office for Science, Future of Mobility, Evidence Review, Dec 2018.
 The Catapult Data Revolution, Investigation into the data required to support and drive intelligent mobility, CATAPULT, March 2015, page 5.
 Urban Mobility Company, The Urban Mobility Daily. Why Open Data is Critical to the Future of MaaS, Sandra Witzel, 23/09/2020.