Crowdsourcing Transit Predictions
DateJune 15, 2016
Uncertainty about transit arrival is a significant challenge for attracting new transit users, but accurate real time systems, built into vehicles and stations, are costly for agencies working on tight budgets. In many cities, it’s a vicious cycle: poor service leads to fewer riders, which leads to reduced budgets, which leads to worse service. App developers may have found a low-cost solution however. By crowdsourcing travel data, along with reports of delays and other issues, apps like Moovit and Swyft offer a new, low-cost way to ensure accurate travel information. This approach, which has particular promise for cities in developing countries or cities experiencing economic hardship, has the opportunity to make transit more attractive to potential users, without increasing costs for transit agencies.