Report
Benchmarking “Smart City” Technology Adoption in California: An Innovative Web Platform for Exploring New Data and Tracking Adoption
UC-ITS-2021-24
University of California, Institute of Transportation Studies, 1st
2021
Abstract
In recent years, “smart city” technologies have emerged that allow cities, counties, and other agencies to manage their infrastructure assets more effectively, make their services more accessible to the public, and allow citizens to interface with new web-and mobile-based alternative service providers. This project developed an innovative user-friendly web interface for local and state policymakers that tracks and displays information on the adoption of such technologies in California across the policing, transportation, and water and wastewater sectors for a comprehensive set of local service providers: connectedgov.berkeley.edu. Contrary to conventional smart city indices, our platform allows users to view rates of adoption in maps that attribute adoption to the local public agencies or service providers actually procuring or regulating the technologies in question. Users can construct indices or view technologies one by one. Users can also explore the relationship between technology adoption and local service area conditions and demographics, or download the raw data and scripts used to collect it. This report illustrates the utility of the data we have collected, and the analytics one can perform using our web interface through an analysis of the rollout of three technologies in the transportation sector: electric vehicle (EV) chargers, transportation network company (TNC) service areas, and micromobility services across California.
Details
- Title
- Benchmarking “Smart City” Technology Adoption in California: An Innovative Web Platform for Exploring New Data and Tracking Adoption
- Authors/Creators
- Alison PostIshana RatanMary HillAmy HuangKenichi SogaBingyu Zhao
- Publication Details
- UC-ITS-2021-24
- Publisher
- University of California, Institute of Transportation Studies; Berkeley, CA, USA
- Edition
- 1st
- Number of pages
- 49
- Identifiers
- 991005620106107891
- Copyright
- Copyright © 2021
- Murdoch Affiliation
- College of Business; Murdoch Business School
- Language
- English
- Resource Type
- Report
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