Benchmarking “Smart City” Technology Adoption in California: Developing and Piloting a Data Collection Approach

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 operators of alternative service providers. This project reviews the academic literature and other sources on potential strengths, weaknesses, and risks associated with smart city technologies. No dataset was found that measures the adoption of such technologies by government agencies. To address this gap, a methodology was developed to guide data collection on the adoption of smart city technologies by urban transportation agencies and other service providers in California. The strategy used involved webscraping; interviews with experts, public agency, and senior level staff; and consultations with technology vendors. The approach was tested by assembling data on the adoption of smart city technologies in California by municipalities and other local public agencies.

• Record URL:
  https://doi.org/10.7922/G2Q23XKF
• Corporate Authors:

  University of California, Berkeley

  Institute of Transportation Studies
  McLaughlin Hall
  Berkeley, CA  United States  94720
• Authors:
  • Frick, Karen Trapenberg
  • 0000-0001-8104-7254
  • Kumar, Tanu
  • 0000-0002-8707-9473
  • Abreu, Giselle Kristina Mendonça
  • 0000-0001-8414-0921
  • Post, Alison
  • 0000-0002-8962-6047
• Publication Date: 2021-4

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 61p

Subject/Index Terms

• TRT Terms: Cities; Data collection; Information technology; Intelligent transportation systems; Transportation departments
• Geographic Terms: California
• Subject Areas: Data and Information Technology; Transportation (General);

Filing Info

• Accession Number: 01832634
• Record Type: Publication
• Report/Paper Numbers: UC-ITS-2020-31
• Files: TRIS
• Created Date: Jan 18 2022 9:02AM