摘要
为全面了解中国智能驾驶汽车的落地时机,文中以广州为例,采用实地发放问卷方式对消费者进行智能驾驶汽车接受度调查。文中首先对2010份有效问卷进行信度和效度检验;其次,统计分析了消费者对智能驾驶的认知度、期待程度等9方面的数据;最后,对智能驾驶的期待程度等性能参数和受访者的基本信息进行多重响应和Pearson相关性分析。结果表明:中国消费者对智能驾驶技术持乐观态度,同时也表现出了对技术安全的顾虑和担忧;期待程度与性别(1男2女)等呈显著负相关; 90%的受访者愿意购买智能驾驶汽车,并愿意支付一定的额外费用,这表明未来智能驾驶汽车在中国市场的潜力不容小觑。研究结果将为政府出台智能驾驶汽车扶持政策及法律法规、企业调整智能驾驶技术研发方向及汽车定价等提供客观的参考意见。
In order to fully understand the landing time of intelligent driving vehicles in China,this paper investigates the acceptance of intelligent driving vehicles using Guangzhou City as an example and a field questionnaire investigation. First,the paper is tested reliability and validity of 2010 effective questionnaires. Then,nine aspects of cognition,expectation about intelligent driving are analyzed statistically. Finally,Pearson correlation analysis and multiple response are carried out parameters of the performance to intelligent driving and the basic information of the respondents. The research shows that consumers hold a optimistic attitude towards the development prospects of intelligent driving vehicles, and express concerns about technological safety;the degree of expectation is negatively correlated with gender(1 male,2 female),and so on. 90 % of respondents are willing to purchase intelligent driving vehicles,and to pay an extra cost to buy them,this showsthat the potential of intelligent driving vehicles in the Chinese market should not be underestimated in the future. The research results will provide the objective reference for the government to issue the support policy and laws of intelligent driving vehicles and for the enterprises to adjust the research and development direction and price of the intelligent driving vehicles.
作者
游峰
初鑫男
YOU Feng;CHU Xin-nan(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510641,China)
出处
《广西大学学报(自然科学版)》
CAS
北大核心
2019年第2期534-545,共12页
Journal of Guangxi University(Natural Science Edition)
基金
国家自然科学基金资助项目(51408237)
广东省公益研究与能力建设专项项目(2016A020223002)
广东省科技计划项目(2017A040405021)
关键词
智能驾驶汽车
消费者接受度
问卷调查
Pearson相关性
intelligent driving vehicles
consumers’ acceptance
questionnaire survey
Pearson correlation analysis