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Understanding Passengers’ Perceived Safety and Quality of Journey in AI-based Self-Driving Taxi Services

원문정보

초록

영어
Safety issue is the decisive key to service commercialization for autonomous vehicles. This study examines the relationship between perceived safety and the quality of the journey in AI-based self-driving taxi services. The results will provide scholarly and practical implications to enhance AI-based self-driving taxi services.

목차

Abstract
Introduction
Theoretical Background
AI Self Driving Taxi
Perceived Safety
Research Model & Hypotheses
Measurement Item
Data Collection and Analysis
Future study
Acknowledgements
References

저자

  • Siew Fan Wong [ Sunway University ]
  • Seoyoun Lee [ School of Management and Economics Beijing Institute of Technology ]
  • Younghoon Chang [ School of Management and Economics Beijing Institute of Technology ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658