消费者对电动汽车和自动驾驶汽车的看法调查（英文版）_31页-3mb

Summary of ASPIRING DRIVERS WEIGH AUTOMOTIVE REVOLUTION

Core Content

This report presents the findings of a survey conducted by Driving-Tests.org (DTO) in March and April 2017, aimed at understanding the attitudes of its users—primarily aspiring drivers—toward electric vehicles (EVs) and self-driving cars. The survey included four questions and involved over 158,000 responses, with a focus on age distribution, response drop-off, and relationships between responses to various questions.

Main Survey Questions

1. Would you consider purchasing an electric vehicle over a comparably priced gas-powered vehicle?

   • Overwhelmingly, respondents (78.4%) answered "No" to this question.
   • The margin of error was only ±0.1%, due to the large sample size.
   • All age groups showed a similar trend, with responses ranging from 69% to 70.5% "No".

2. How concerned would you be about riding in a fully self-driving car?

   • A wide range of responses was observed, with a mean of 5.62 and a standard deviation of 3.66.
   • 23.9% of respondents were extremely concerned (response 10), and 18.8% were not at all concerned (response 0).
   • A slim majority (52.0%) expressed strong opinions (responses 0, 1, 9, 10).

3. Will the benefits of self-driving vehicles outweigh their risks and costs?

   • The mean response was 4.90, with a standard deviation of 3.46.
   • 21.2% of respondents believed the benefits would not outweigh the risks (response 0), and 15.1% believed they would (response 10).
   • A significant portion (30.8%) expressed strong opinions, while 24.0% were unsure (response 5).

4. Which manufacturer do you think will sell the most electric and self-driving vehicles in the next 10 years?

   • Tesla was the most selected brand, with 23.4% of respondents.
   • Toyota followed with 19.9%, then Honda (17.2%), Chevrolet (14.4%), and Ford (13.4%).
   • The "Other or None" category accounted for 11.6% of responses.
   • Teenagers (43.5% of respondents) showed a stronger preference for Tesla, while older age groups favored Toyota.

Key Findings

• Electric Vehicles:

  • The majority of respondents (69.4%) would not consider purchasing an electric car over a comparably priced gas-powered vehicle.
  • The response was consistent across all age groups, with only minor variations.
  • The choice of car brand was significantly related to the likelihood of considering an electric car, with Tesla supporters more likely to say "Yes" to Question 1.

• Self-Driving Cars:

  • There were strong opinions on the concern level regarding self-driving cars.
  • 23.9% were extremely concerned (response 10), while 18.8% were not at all concerned (response 0).
  • The belief that the benefits of self-driving cars would outweigh their risks was less common than the belief that they would not.
  • There was a significant relationship between concern levels (Question 2) and views on benefits vs. risks (Question 3).

• Age Group Influence:

  • Millennials (born 1982–2004) were the largest demographic group, making up 75.1% of respondents.
  • The distribution of responses was not uniform across age groups.
  • Teenagers showed the strongest support for Tesla, while older groups favored Toyota.
  • Age was a significant predictor of responses to Question 1, with a very small margin of error.

• Response Drop-Off:

  • The highest drop-off rates occurred early in the survey, particularly after asking for age and the first question.
  • The drop-off percentages were:
    • Question 1: -12.6%
    • Question 2: -24.4%
    • Question 3: -31.3%
    • Question 4: -36.3%

• Statistical Analysis:

  • Chi-square tests and logistic regression were used to analyze the relationships between responses.
  • A logistic regression model was run to predict responses to Question 1 based on age group and responses to Questions 2, 3, and 4.
  • All relationships between questions were statistically significant, indicating that responses were not independent.

Methodology

• Survey Platform:

  • DTO switched from Google Surveys to Survicate due to better mobile support and faster response rates.
  • Survicate allowed for exporting data to Excel-compatible spreadsheets.

• Data Cleaning:

  • Over 510 records were removed due to multiple responses (e.g., multiple age groups or car brands).
  • Age group percentages were weighted to normalize the age range widths for statistical analysis.

• Statistical Tools:

  • The R programming language was used for the analysis.
  • Chi-square tests were used to assess relationships between variables.
  • Logistic regression was employed to predict responses to Question 1.

Future Directions and Conclusion

• The survey highlighted a general skepticism toward both electric and self-driving vehicles among DTO users.
• Despite Tesla's technological advancements, its popularity as a leading brand was not universal, with older age groups showing more favor toward Toyota.
• The results suggest that the adoption of these technologies may be influenced by both age and personal perception of safety and reliability.
• Further research is needed to explore these relationships in more depth and to understand the factors that may influence the acceptance of self-driving and electric vehicles among different demographics.

Appendix

• Margin of Error:
  • For the main survey, the margin of error was ±0.1% due to the large sample size.
• Chi-Square Test:
  • Used to determine if responses to different questions were independent.
• Logistic Regression:
  • Used to predict responses to Question 1 based on age group and other survey questions.