PTV Access
Location and Mobility Data via API
Expand your software solutions with location and mobility data - with the PTV Access interfaces (APIs).
With PTV Access data, you can carry out accessibility analyses, discover mobility trends and solutions, compare possible locations objectively and based on data, and visualize mobility indicators.
The 2024 Mobility Tech Update is available now!
Discover all new highlights and features of PTV's and Econolite's software and hardware solutions.
The PTV Access Data Platform
The data provided via the APIs comes from automatically generated transport models and numerous other public and commercial data sources. With the help of intelligent algorithms, we merge and refine all this information to create valuable and exclusive data sets. This information is automatically transferred to your system via interfaces, where it is available to you for analysis and evaluation.
Benefits of Using Data from PTV Access
We refine the raw data with the help of algorithms and transport models
The data provided is updated regularly
Thanks to the Open API standard, the APIs can be easily connected and scaled
You only pay for what you actually use
Continous development and research
Use Cases
Our APIs
Accessibility Score API
The PTV Accessibility Score API provides accessibility indices for various means of transport (walking, cycling, public transport, car) for an address. The index ranges from 0 (poor) to 100 (very good) and describes how easily a destination can be reached within a certain time. The times are calculated on the basis of a geographical multimodal database that includes the current road network as well as the available, current public transport route and timetable data and information on the cycling infrastructure. In addition to the accessibility index, the API also provides all points of interest (e.g. schools, supermarkets, train stations, pharmacies) that are included in the index calculation.
Traffic Volume API
The PTV Traffic Volume API provides the average traffic volumes for an address for different time ranges (day types, hourly values) of the surrounding roads. The values are calculated using a traffic demand model and calibrated with the help of public road counts.