Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots - Network and Parallel Computing Access content directly
Conference Papers Year : 2021

Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots

Abstract

As the sharing economy is booming in China, many intelligent shared parking lots appear. Since more and more Chinese households own cars, it is necessary to study the payment behavior of shared parking lots, which may represent the entire sharing economy. In detail, we analyze the factors that influence users’ payment and predict users’ payment behavior of whether and when users will deliver parking bills after parking. We use 29,733 real parking records provided by Huaching Tech, a top smart parking company in China, in our study. After a comprehensive statistical analysis, we use decision tree model to predict users’ payment behavior. Experiments show that the decision tree model can reach 79% accuracy.
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hal-03768744 , version 1 (04-09-2022)

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Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Jiazao Lin, et al.. Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots. 17th IFIP International Conference on Network and Parallel Computing (NPC), Sep 2020, Zhengzhou, China. pp.288-293, ⟨10.1007/978-3-030-79478-1_25⟩. ⟨hal-03768744⟩
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