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Exploring Public Perceptions and Attitudes toward Emerging Mobility Options

Exploring Public Perceptions and Attitudes toward Emerging Mobility Options. FSUTMS User Group Meeting September 20, 2019. Xia Jin Florida International University. Investigate adoption and willingness to pay (WTP) of Autonomous Vehicles (AV);

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Exploring Public Perceptions and Attitudes toward Emerging Mobility Options

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  1. Exploring Public Perceptions and Attitudes toward Emerging Mobility Options FSUTMS User Group Meeting September 20, 2019 Xia Jin Florida International University

  2. Investigate adoption and willingness to pay (WTP) of Autonomous Vehicles (AV); • Based on a nationwide survey in the United States; • With special emphasis on the role of personal attitudes and preferences; • Through a structural equations model (SEM) to address endogeneity. Objectives

  3. Survey Design

  4. Q: I see myself driving/riding in these vehicles in ten years. • Basic vehicles (the driver is in complete and sole control of the primary vehicle functions) • Advanced features (such as, adaptive cruise control, lane centering, crash warning, etc.) • Partial automation (allows the vehicle to take over only under certain conditions and returns control to the driver when conditions change) • Full automation (allows the vehicle to take over all driving functions for an entire trip) • Q: I’m willing to pay $___ more for these features • a) 500 b) 1000 c) 1500 d) 2000 e) 3000 f) 4000 g) other______ Research Question – AV Adoption and WTP

  5. AV Adoption and WTP

  6. Attitude Questions

  7. Mobility Preferences • Perceptions of Ridesourcing Services • Reasoning for Vehicle Ownership • Views toward Automated Vehicle (AV) Technologies Survey Questions on Attitudes

  8. A dimension reduction technique • Describe variability among a large set of observed, correlated variables by shrinking the computational space into a lower number of hidden (latent) factors. Principal Component Analysis

  9. Structural equations model

  10. Provides a simultaneous estimation of multiple correlated decisions • Allows the user to incorporate latent (unobserved) constructs into the model structure • The Structural Equation establishes the causal effects between endogenous variables (variables to be predicted) and their predictors (either as observed exogenous variables or latent factors) • The Measurement Equation describes how well the latent factors are explained through personal attitudinal indicator Methodology

  11. The SEM approach revealed four major latent attitudinal factors, representing “joy of driving”, “mode choice reasoning”, “traveling with strangers”, and “technology savviness”. • Further research might assess the interaction effects between attitudes and socio-economic demographic attributes. Summary

  12. Questions? Xia Jin, Ph.D., AICP Associate Professor https://behaviorlab.eng.fiu.edu Florida International University Tel: (305)348-2825 E-mail: xjin1@fiu.edu Thank you!

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