Efforts to regulate the curb also suffer from a lack of publicly accessible data on both the demand and supply of curb space. Cities often do not have the technical expertise to develop a curb data collection and data-sharing strategy. In addition, the private individuals and companies that generate most of the curb-use data often withhold them from public use to protect proprietary information and personal user data.

However, new uses of data sources, such as the Global Positioning System (GPS) and cellular networks, as well as the implementation of wide networks of IoT devices, are enabling the “digitization” of the curb, allowing cities to gain a better understanding of curb use as well as ways to change their approach toward curb space management.

In a way, the revolution in curb space management has already started. Many cities are re-inventing their role from passively regulating on-street parking to dynamically allocating and managing the curb, both physically and digitally, to serve many different users. Geofencing and time-dependent allocation of curb space facilitate efficient passenger pickup and drop off. Parking information systems and pay-for-parking apps enable dynamic parking allocation and pricing. We believe this is the right time for scientific research to “catch up” with current changes and to develop new analytical tools for curb space management. Such efforts are the focus of this special issue on curb lane analysis and policy.