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

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  • Frick, Karen Trappenburg PhD
  • Kumar, Tanu PhD
  • Mendonça Abreu, Giselle Kristina
  • Post, Alison PhD

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 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.

Suggested Citation

  • Frick, Karen Trappenburg PhD & Kumar, Tanu PhD & Mendonça Abreu, Giselle Kristina & Post, Alison PhD, 2021. "Benchmarking “Smart City” Technology Adoption in California: Developing and Piloting a Data Collection Approach," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3797p0ws, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt3797p0ws
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    References listed on IDEAS

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    5. Sara Safransky, 2020. "Geographies of Algorithmic Violence: Redlining the Smart City," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 44(2), pages 200-218, March.
    6. Escolar, Soledad & Villanueva, Félix J. & Santofimia, Maria J. & Villa, David & Toro, Xavier del & López, Juan Carlos, 2019. "A Multiple-Attribute Decision Making-based approach for smart city rankings design," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 42-55.
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    Cited by:

    1. Post, Alison PhD & Ratan, Ishana & Hill, Mary & Huang, Amy & Soga, Kenichi PhD & Zhao, Bingyu PhD, 2021. "Benchmarking “Smart City” Technology Adoption in California: An Innovative Web Platform for Exploring New Data and Tracking Adoption," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5mt4m51n, Institute of Transportation Studies, UC Berkeley.
    2. Ke Wang & Yafei Zhao & Rajan Kumar Gangadhari & Zhixing Li, 2021. "Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China," Sustainability, MDPI, vol. 13(19), pages 1-35, October.

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    Keywords

    Engineering; Smart cities; intelligent transportation systems; benchmarks; data collection; local government agencies; standards; California;
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