The effects of smart-parking on transit and traffic: Evidence from SFpark

To alleviate many parking-related externalities, several rapidly growing cities globally are optimizing parking through “smart-parking” programs, involving measures such as adjusting parking prices based upon demand, making payments easier, and significantly improving parking-related information dissemination. There are few rigorous empirical estimates regarding the efficacy of these policies, particularly for outcomes such as transit ridership or traffic flow, which are of key policy relevance. Exploiting features of the roll out of SFpark, a smart-parking program for the city of San Francisco, we are able to estimate its effect upon public transit usage and traffic flow. Using a difference-in-difference strategy and a richmicro data-set on transit bus ridership along with data from SFpark, we find that SFpark led to a significant increase in bus ridership and a reduction in traffic flow. A back-of-the-envelope
calculation suggests that the economic benefits resulting from avoided pollution and reduced congestion consequent to SFpark is larger than the approximate nominal costs of the program. Overall, our results suggest that smart-parking programs can help mitigate many trafficrelated externalities, yielding significant economic benefits.

Keywords: Air pollution, Mass transit, Parking policy, Smart-parking, Transportation

Krishnamurthy, C. K. B., and N. Ngo. 2020. The effects of smart-parking on transit and traffic: Evidence from SFpark. Journal of Environmental Economics and Management 99:102273.