Parking Forecasting

Parking Forecasting is a quantitative analytic method within urban transportation planning that estimates future parking demand by projecting land use changes, traffic patterns, and vehicle occupancy rates, distinguishing it from related assessment tools through its predictive modeling focus on temporal and spatial parking supply-demand dynamics.

124

Publications

5.5K

Citations

412

Authors

190

Institutions

Publications per year

2017–2026

90

Authors

412

  1. PI
    Pétros Ioannou

    University of Southern California, United States

    4 publications · 298 citations

    4

    h-index

  2. SD
    Sergio Di Martino

    University of Naples Federico II, Italy

    3 publications · 97 citations

    3

    h-index

  3. JL
    Jiazao Lin

    Peking University, China

    3 publications · 119 citations

    3

    h-index

  4. CM
    Changxi Ma

    Lanzhou Jiaotong University, China

    2 publications · 161 citations

    3

    h-index

  5. SQ
    Sean Qian

    Carnegie Mellon University, United States

    3 publications · 406 citations

    3

    h-index

1–5 of 412

Venues

  1. 9

    h-index

  2. IEEE Access

    5 publications · 339 citations

    6

    h-index

  3. 6

    h-index

  4. Transportation research procedia

    TRPRO · 4 publications · 90 citations

    4

    h-index

  5. 3

    h-index

1–5