Skip to main content
SpringerLink
Log in

A Study on Leisure Tourists’ Travel Choice Behavior of Shared Autonomous Vehicles

  • Conference paper
  • First Online:
Smart Transportation and Green Mobility Safety (GITSS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1181))

  • 21 Accesses

Abstract

The travel of leisure tourists is free in time, place and mode of transportation, and usually has personalized characteristics. With the development of the tourism industry, it is necessary to incorporate tourism transportation into the overall planning of urban transportation. This study proposes a demand-responsive transportation service mode using shared autonomous vehicles (SAVs). By combining RP and SP questionnaires survey method, this paper studies leisure tourists’ travel choice behavior and the willingness to use SAVs. Considering tourists’ perceived value and perceived risk of SAVs, a structural equation model (SEM) and an integrated choice and latent variable (ICLV) model are established to analyze the travel behavior characteristics of tourists.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lew A, Mckercher B (2006) Modeling tourist movements: a local destination analysis[J]. Ann Tour Res 33(2):403–423

    Article  Google Scholar 

  2. Zhang Yanling (2007) Research on some key technologies of Urban tourism transportation planning [D]. Nanjing Forestry University

    Google Scholar 

  3. Krueger R, Rashidi TH, Rose JM (2016) Preferences for shared autonomous vehicles[J]. Transp Res Part C: Emerg Technol 69:343–355

    Article  Google Scholar 

  4. Wang SC, Jiang ZQ, Noland RB et al (2020) Attitudes towards privately-owned and shared autonomous vehicles[J]. Transp Res F Traffic Psychol Behav 72:297–306

    Article  Google Scholar 

  5. Ren Hailin (2022) Selection preference analysis of shared autonomous vehicle based on hybrid logit model [J]. J Guizhou Univer (natural science edition) 33(5):6, 105–110

    Google Scholar 

  6. Ben-Akiva M, Walker J, Bernardino AT (2002) Integration of choice and latent variable models,” Perpetual motion: Travel behaviour research opportunities and application challenges[R]. Boston: Massachusetts Inst Technol 53(2):166–170

    Google Scholar 

  7. Bansal P, Kockelman KM, Singh A (2016) Assessing public opinions of and interest in new vehicle technologies: an Austin perspective[J]. Transp Res Part C: Emerg Technol 67:1–14

    Article  Google Scholar 

  8. Alhajyaseen W, Adnan M, Abuhejleh A et al. (2020) Travelers’ preferences regarding autonomous mobility in the State of Qatar[J]. Personal Ubiquitous Computing, pp 1–9

    Google Scholar 

  9. Chen CF (2019) Factors affecting the decision to use autonomous shuttle services: Evidence from a scooter-dominant urban context[J]. Transport Res 67(Nov.):195–204

    Google Scholar 

  10. Dirk, Temme, Marcel, et al. (2008) Incorporating latent variables into discrete choice models-a simultaneous estimation approach using SEM software[J]. BuR-Busin Res

    Google Scholar 

  11. Yueying H, Chen G, Yuan Z, Chenxi F (2021) Application intention model of Shared autonomous vehicle and its influencing factors [J]. J Northeastern Univer (Nat Sci) 42(07):1057–1064

    Google Scholar 

  12. Xu Wanglin (2020) Research on long-distance travel mode choice behavior of passengers based on ICLV model [D]. Beijing Jiaotong University

    Google Scholar 

  13. Liu Luoting (2019) Research on intercity passenger travel mode selection intention based on SEM-Logit [D]. Chang'an University

    Google Scholar 

Download references

Funding

This research is funded by National Key Research and Development Project (2019YFE0112100), National Natural Science Foundation of China (Grant No. 52272312), Science, and Technology Innovation Action Plan of Shanghai Science and Technology Commission (21dz1203802), and Science, and Technology Innovation Action Plan of Shanghai Science and Technology Commission (20dz1202702).

Author information

Authors and Affiliations

  1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai, 201804, China

    Siying Wang & Minhua Shao

  2. Department of Transportation Engineering, Tongji University, Shanghai, 201804, China

    Siying Wang & Minhua Shao

Authors
  1. Siying Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Minhua Shao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Minhua Shao .

Editor information

Editors and Affiliations

  1. Department of Transportation Engineering, Beijing Institute of Technology, Beijing, China

    Wuhong Wang

  2. School of Vehicle and Energy, Yanshan University, Qinghuangdao, Hebei, China

    Lisheng Jin

  3. Beijing Institute of Technology, Beijing, China

    Haiqiu Tan

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, S., Shao, M. (2024). A Study on Leisure Tourists’ Travel Choice Behavior of Shared Autonomous Vehicles. In: Wang, W., Jin, L., Tan, H. (eds) Smart Transportation and Green Mobility Safety. GITSS 2022. Lecture Notes in Electrical Engineering, vol 1181. Springer, Singapore. https://doi.org/10.1007/978-981-97-2443-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-2443-7_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2442-0

  • Online ISBN: 978-981-97-2443-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation