Urban mobility is going through a phase of digital transformation. Recent advancements in traffic management and sensors, automatic vehicle location systems, junction cameras, tracking devices, smart cards, etc., have created the opportunity to generate diverse datasets. This mobility data, if collected and processed systematically, could reveal meaningful insights and provide policy directions to city administrators.

MaaS is a data-driven solution making data sharing between various operators and city authorities a key factor for implementing MaaS. The urban mobility data policy framework aims to present guidelines to facilitate sharing of transportation data collected by the public and private agencies in a standardized machine-readable format ensuring the privacy of travelers is protected.

The proposed policy framework is developed across the three policy areas: Data Coverage; Regulation & Accountability; and Institution & Governance. Specific policy instruments have been identified across these areas.