中国智能驾驶接受度调查——以广州为例
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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.
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.
引文
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[12] KRUEGER R,RASHIDI T H,ROSE J M. Preferences for shared autonomous vehicles[J]. Transportation Research Part C Emerging Technologies,2016,69:343-355.
[13] YANG H,YU J,et al. User acceptance of wearable devices:An extended perspective of perceived value[J]. Telematics&Informatics,2016,33(2):256-269.
[14]陈延寿.无人驾驶汽车研究动向[J].汽车与配件,2017(6):44-48.
[15] SHIN J,BHAT C R,YOU D,et al. Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types[J]. Transportation Research Part C,2015,60:511-524.
[16] PAKUSCH C,BOSSAUER P. User Acceptance of Fully Autonomous Public Transport[J]. In14th International Joint Conference on e-Business and Telecommunications,2017,2(ICE-B):52-60.
[17]陈晓林.无人驾驶汽车致人损害的对策研究[J].重庆大学学报(社会科学版),2017,23(4):84-90.
[2]泉田良辅,李晨.智能化未来:无人驾驶技术将如何改变我们的生活[M].浙江:浙江大学出版社,2015.
[3] ZHANG R,WU J,HUANG L,et al. Study of bicycle movements in conflicts at mixed traffic unsignalized intersections[J]. IEEE Access,2017,5(99):10108-10117.
[4] SINGH M,KIM S. Security analysis of intelligent vehicles:Challenges and scope[J]. IEEE,2017,33(1)13-14.
[5]马硕.无人驾驶汽车应用与发展现状分析[J].汽车与驾驶维修,2017(4):142-143.
[6]翁岳暄,尼米克·希伦布兰德.汽车智能化的道路:智能汽车、自动驾驶汽车安全监管研究[J].科技与法律,2014,6(4):632-655.
[7]蔡宇银.中国产险公司应对自动驾驶技术发展的策略研究[J].保险理论与实践,2016(10):80-91.
[8] KYRIAKIDIS M,HAPPEE R,DE WINTER J C F. Public opinion on automated driving:Results of an international questionnaire among 5000 respondents[J]. Transportation Research Part F:Traffic Psychology and Behaviour,2015,32:127-140.
[9]陈笃廉.无人驾驶客车的发展现状及展望[J].机电技术,2017(3):109-112.
[10] COTTAM,BOBBY. Public acceptance of autonomous and connected cars[J]. Journal of Unmanned Vehicle Systems,2017,5(2):35-36.
[11] SCHOETTLE B,SIVAK M. A survey of public opinion about autonomous and self-driving vehicles in the U. S. the U. K.and Australia[J]. Universityof Michigan Ann Arbor Transportation,2014,30(7):121-153.
[12] KRUEGER R,RASHIDI T H,ROSE J M. Preferences for shared autonomous vehicles[J]. Transportation Research Part C Emerging Technologies,2016,69:343-355.
[13] YANG H,YU J,et al. User acceptance of wearable devices:An extended perspective of perceived value[J]. Telematics&Informatics,2016,33(2):256-269.
[14]陈延寿.无人驾驶汽车研究动向[J].汽车与配件,2017(6):44-48.
[15] SHIN J,BHAT C R,YOU D,et al. Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types[J]. Transportation Research Part C,2015,60:511-524.
[16] PAKUSCH C,BOSSAUER P. User Acceptance of Fully Autonomous Public Transport[J]. In14th International Joint Conference on e-Business and Telecommunications,2017,2(ICE-B):52-60.
[17]陈晓林.无人驾驶汽车致人损害的对策研究[J].重庆大学学报(社会科学版),2017,23(4):84-90.