Cited by 38Transportation and Mobility InnovationsTransportation Planning and OptimizationElectric Vehicles and Infrastructure

Framework for planning the mobility service based on autonomous vehicles

Foldes, David, Csiszar, Csaba·2018·2018 Smart City Symposium Prague (SCSP)

Abstract

Autonomous vehicles (AVs) facilitate alteration in the passenger transportation. Shared, demand-driven mobility services based on small-capacity AVs emerge in urban areas. In order to provide highly personalized services and to enhance the acceptance of AVs, the user expectations are to be revealed. The research question is what kind of information is needed to plan various service types with the consideration of user expectations and operational constraints. Accordingly, the planning functions, as well as their input and output data have been identified. Then, the connections between the functions have been explored. In order to provide input data for planning functions, we have elaborated a data collection method applying a questionnaire survey with stated preferences. Based on the survey data correlations could be revealed between socio-demographic characteristics or mobility habits and expected mobility service attributes. The results can be used as a framework for planning mobility services based on AVs.

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  • A user-centric approach to AV mobility services improves the acceptance and usability of AVs in urban environments.

    “The acceptance and usability of AVs in urban environments are eventually improved by this user-centric approach, which assists in designing services that are in line with passengers' wants and preferences [59,60].”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [59]

    The Introduction (p. 1) says user expectations should be considered when planning AV mobility services to improve acceptance, supporting the user-centred planning and acceptance parts of the claim. The paper does not say this approach improves usability, nor does it demonstrate that the proposed approach has already improved either outcome. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Correlations between users' sociodemographic traits, mobility preferences, and predicted aspects or features of mobility services offered by AVs are discovered through surveys and studies.

    “Correlations between users' sociodemographic traits, mobility preferences, and predicted aspects or features of mobility services offered by AVs are discovered through surveys and studies [59].”
  • The average willingness to pay for adding complete Level 4 automation to vehicles ($7253) is much greater than the willingness to pay for adding partial Level 3 automation ($3300).

    “In terms of willingness to pay (WTP), the average WTP for adding complete (Level 4) automation to their vehicles ($7253) is much greater than the WTP for adding partial (Level 3) automation ($3300) [59].”

    From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [59]

    The State of the Art section (p. 1) discusses willingness to use autonomous-vehicle services, not willingness to pay for vehicle automation. Searches for $7,253, $3,300, and Level 3 versus Level 4 automation found no passage supporting the quoted comparison; the pilot-survey discussion (p. 5) does not report those figures either. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

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Authors
Foldes, D., & Csiszar, C.
Venue
2018 Smart City Symposium Prague (SCSP)
Publisher
IEEE
Published
2018-05
Pages
1-6
OpenAlex
W2817137177
Cited by
38
References
0
Citations by year
2026: 1 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 6 · 2020: 6 · 2019: 3
FWCI
3.85
Type
conference paper
Language
en
Open access
closed
Locations
  • Smart City Symposium Prague (SCSP) (publishedVersion)
  • Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
Funders
Emberi Eroforrások Minisztériuma (ÚNKP-17-3, ?NKP-17-3-I)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
Keywords
autonomous vehicles, shared mobility, demand-responsive transport, user expectations, stated preference, planning framework, sociodemographic factors, mobility behavior, urban passenger transport

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