Sensitivity analysis of the influencing factors of parking lot selection based on BP neural network

被引：1
|
作者：
Yin, Jingjing [1 ]
Sun, Qiang [2 ]
Zhou, Juan [3 ]
机构：
[1] Shandong Jianzhu Univ, Sch Transportat Engn, Jinan 250101, Shandong, Peoples R China
[2] Shandong Transportat Res Inst, Jinan, Shandong, Peoples R China
[3] CCCC Highway Consultants Co Ltd, CHELBI Engn Consultants Inc, Beijing, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING | 2022年 / 22卷 / 01期
关键词：
Parking selection; influencing factors; sensitivity; BP neural network CLC number;
D O I：
10.3233/JCM-215604
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：137 / 145
页数：9
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