Parking Data Analytics

Parking Data Analytics is a scholarly methodological framework that systematically processes and interprets urban parking-related data to optimize space utilization, demand forecasting, and policy decision-making within integrated smart city transportation systems.

54

Publications

2.2K

Citations

207

Authors

96

Institutions

Publications per year

2017–2026

35

Authors

207

  1. OF
    Oscar Franzese

    National Transportation Research Center, United States

    2 publications · 68 citations

    2

    h-index

  2. SC
    Shih-Miao Chin

    National Transportation Research Center, United States

    2 publications · 68 citations

    2

    h-index

  3. SD
    Sergio Di Martino

    University of Naples Federico II, Italy

    2 publications · 85 citations

    2

    h-index

  4. HH
    Ho‐Ling Hwang

    National Transportation Research Center, United States

    2 publications · 68 citations

    2

    h-index

  5. EO
    Eoin O’Connell

    University of Limerick, Ireland

    2 publications · 142 citations

    2

    h-index

1–5 of 207

Venues

  1. IEEE Access

    2 publications · 172 citations

    2

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  2. 2

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  3. Transport Policy

    2 publications · 126 citations

    2

    h-index

  4. 2

    h-index

  5. 2

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1–5