个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:同济大学
学位:博士
所在单位:交通运输系
学科:交通信息工程及控制. 交通运输规划与管理
办公地点:大连理工大学土木实验4号楼506房间
联系方式:办公电话:0411-84707037; QQ:24071220
电子邮箱:hfxu@dlut.edu.cn
Modeling and Forecasting Passenger Car Ownership Based on Symbolic Regression
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论文类型:期刊论文
发表时间:2018-07-01
发表刊物:SUSTAINABILITY
收录刊物:SCIE、SSCI
卷号:10
期号:7
ISSN号:2071-1050
关键字:vehicle ownership; Gompertz function; per capita GDP; symbolic regression
摘要:Numerous functions, especially the Gompertz function, have been predetermined to analyze the growth in vehicle ownership. This study utilizes the data-driven symbolic regression to automatically find a generalized function, named as new equation by symbolic regression (NE-SR), for passenger car ownership in six representative countries including Japan, England, USA, Finland, Poland and Australia. Then the new proposed function is applied for forecasting the passenger car ownership in China up to the year 2060. The experimental results indicate that the NE-SR, as an extension of the Gompertz function, fits better than the classical Gompertz function for car ownership growth. In NE-SR function, three scenarios can be realized by the variation of parameter signs, which are represented by the patterns of Japan, USA and Australia, respectively. The predicted results based on the NE-SR also show that the Chinese car ownership still has a potential to increase after 2060 in the pattern of Japan and Australia, but grows until around 2057 in the pattern of USA. The results can be used to further predict the energy demand and carbon emissions of passenger cars, which can provide a basis for the policymaker to propose transportation and environmental strategies.