DOI:10.1007/s40565-015-0112-4 |
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Multi-agents modelling of EV purchase willingness based on questionnaires |
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Page view: 115
Net amount: 2181 |
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Author:
Yusheng XUE1,Juai WU1,2,Dongliang XIE1,Kang LI3,Yu ZHANG4,Fushuan WEN5,Bin CAI1,2,Qiuwei WU6,Guangya YANG6
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Author Affiliation:
1.State Grid Electric Power Research Institute (SGEPRI), Nanjing, 210003, China
2.Nanjing University of Science and Technology (NJUST), Nanjing, 210094, China
3.Queen’s University, Belfast, Northern Ireland, UK
4.State Grid Shanghai Municipal Electric Power Company, Shanghai, 200122, China
(5)Zhejiang University, Hangzhou, 310027, China
(6)Technical University of Denmark, 2800 Lyngby, Denmark;1.State Grid Electric Power Research Institute (SGEPRI), Nanjing, 210003, China;2.Nanjing University of Science and Technology (NJUST), Nanjing, 210094, China;3.Queen’s University, Belfast, Northern Ireland, UK;4.State Grid Shanghai Municipal Electric Power Company, Shanghai, 200122, China;5.Zhejiang University, Hangzhou, 310027, China;6.Technical University of Denmark, 2800?Lyngby, Denmark
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Abstract: |
Traditional experimental economics methods often consume enormous resources of qualified human participants, and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses. The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments. An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants. Taking the customers’ willingness to purchase electric vehicles (EVs) as an example, multi-layer correlation information is extracted from a limited number of questionnaires. Multi-agents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires. The authenticity of both the model and the algorithm is validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results. With the aid of agent models, the effects of minority agents with specific preferences on the results are also discussed. |
Keywords: |
Behavioral analysis,Experimental economics,Human experimenters,Knowledge extractionMulti- agents,EV purchase |
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Online Time:2015/05/22 |
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