Open-source Database on “Smart City” Technology Adoption in California

Research Team: Alison Post (Lead), Karen Frick, Iryna Dronova, Jane Macfarlane, Kenichi Soga, and Joan Walker

University: UC Berkeley

Problem Statement: In recent years, “smart city” technologies have emerged to help cities, special districts, and other public agencies prolong the life of their infrastructure, communicate with citizens, and provide more effective services. Common transportation examples include intelligent traffic signal priority systems, publicly-shared general transit specification feeds, and fleet management systems. Comprehensive data regarding the adoption of new “smart city” technologies is essential for policymakers and engineers to make careful choices about deploying this technology, yet it is limited. While consultancies such as the McKinsey Global Institute and Oliver Wyman have created “smart cities indices,” these and other similar measures merely rank major metropolitan areas without explaining their methodology. Their use is further limited since they are one-shot studies that cannot show change over time, and do not offer coverage of smaller towns.

Project Description: This project will produce a comprehensive new, public-facing, open-source database providing information on smart-city technology adoption across jurisdictions in California. It builds on previous work that developed and piloted an approach to assembling data on 1) which types of technologies are being adopted; and 2) which California public agencies — varying in population, population density, geography (rural versus urban) and other characteristics — have adopted new technologies most frequently.

Status: In Progress

Budget: $55,356

Project Partner(s): Joint Venture Silicon Valley