AirSage provided samples of data for MAG to test prior to purchase. After thorough testing, the MAG Travel Demand Modeling Program concluded the data would be quite valuable for their modeling (see graph below). MAG modeling staff noted that in addition to being highly accurate, location data could also be acquired quickly (within weeks), and the price point compared to surveys was quite reasonable. Given the above, they decided to move forward.
With AirSage, MAG has been able to successfully validate trip origins and trip destinations at the district level in their travel forecasting models and fill in the gaps left by surveys. Petya Maneva, Transportation Engineer IV at MAG, explains, "Location-based services data enhances our survey data and gives us more fidelity in our travel demand models."