Affiliations: [a] School of Transportation Engineering, Shandong Jianzhu University, Jinan, Shandong, China | [b] Shandong Transportation Research Institute, Jinan, Shandong, China | [c] CHELBI Engineering Consultants, Inc., CCCC Highway Consultants Co., Ltd., Beijing, China
Correspondence:
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Corresponding author: Jingjing Yin, School of Transportation Engineering, Shandong Jianzhu University, Jinan, Shandong 250101, China. E-mail: yinjingjing0323@163.com.
Abstract: The driver’s selection process of parking lot will consider a variety of influencing factors, and consider different influencing factors for different travel purposes. In this paper, the driver’s travel purposes were divided into three categories according to the degree of emergency: emergency, routine and leisure. Four influencing factors of parking lot selection including walking distance, charge, parking index and parking convenience were selected, and ranked according to their sensitivity, and their sensitivity was analyzed by using the BP (back propagation) neural network, which provides a basis for the development of differentiated parking guidance and parking management measures to avoid the uneven parking due to random selection of parking lot and realize the maximum utilization of parking resources.
Keywords: Parking selection, influencing factors, sensitivity, BP neural network CLC number
