Based on historic smart card data from 2011 to 2014, the parking pattern at Pudong International Airport (PVG) is comprehensively explored in this article. This study is conducted on solid data analysis. Using smart card information, the authors begin with summarizing overall parking patterns. The results indicate that parking demand took on a growth trend in the past four years. Then a data-driven analysis approach is taken to investigate the dynamic distributions. The peak occupancy at Spring Festival is much higher than other time but the daily entries at peak time are fewer than that at off-peak seasons, and the long-term parking proportion increases a lot. Besides, analysis on License Plate Recognition (LPR) data depicts the composition of parking vehicles. PVG attracts a lot of vehicles from other provinces but vehicles registered in Shanghai still account for a significant proportion. Additionally, the parking time of vehicles from other provinces is longer than those from Shanghai.
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