Framework for planning the mobility service based on autonomous vehicles
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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 measuredCorrelations 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].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 22
- [1][1] J-F. Cordeau, G. Laporte, J-Y. Potvin, M.W.P. Savelsbergh. 'Transportation on Demand,' in Handbooks in Operations Research and Management Science: Transportation. Vol 14, North Holland, 2007, pp. 429-466. DOI: 10.1016/S0927-0507(06)14007-4 - · DOI
- [2][2] L. Davison, M. Enoch, T. Ryley, M.Quddus, C.Wang. (2013). A survey of Demand Responsive Transport in Great Britain. Transport Policy 31 , pp. 47-57. DOI: 10.1016/j.tranpol.2013.11.004 - · DOI
- [3][3] D.J. Fagnant and K.M. Kockelman. (2014). The travel and environmental implications of shared autonomous vehicles, using agentbased model scenarios. Transportation Research Part C: Emerging Technologies. 40 , pp. 1-13. DOI: 10.1016/j.trc.2013.12.001 - · DOI · Paper page
- [4][4] W. Gruel, J.M. Stanford. (2016) Assessing the long-term effects of autonomous vehicles: a speculative approach. Transportation Research Procedia 13 , pp. 18-29. DOI: 10.1016/j.trpro.2016.05.003 - · DOI · Paper page
- [5][5] S. Szigeti, C. Csiszár, and D. Földes. (2017). Information Management of Demand-Responsive Mobility Service Based on Autonomous Vehicles. Procedia Engineering . 187 , pp. 483-491. DOI: 10.1016/j.proeng.2017.04.404 - · DOI
- [6][6] T. Tettamanti, I. Varga, and Z. Szalay. (2016). Impacts of Autonomous Cars from a Traffic Engineering Perspective. Periodica Polytechnica Transportation Engineering. 44(4) , pp. 244-250. DOI: 10.3311/PPtr.9464 - · DOI
- [7][7] A.M. Pereira, H. Anany, O. Pribyl, and J. Prikryl, 'Automated Vehicles in Smart Urban Environment: A Review,' in Smart City Symposium 2017 (SCSP2017) , Prague, 2017. DOI: 10.1109/SCSP.2017.7973864 - · DOI
- [8][8] E. Adell, A. Várhelyi, and L. Nilsson, 'The Definition of Acceptance and Acceptability,' in Driver Acceptance of New Technology: Theory, Measurement and Optimization , CRC Press, 2014, pp. 11-21. -
- [10][10] R. Madigan, T. Louw, M. Dziennus, T. Graindorge, E. Ortega, M. Graindorge, and N. Merata. (2016). Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model. Transportation Research Procedia. 14 , pp. 2217-2226. DOI: 10.1016/j.trpro.2016.05.237 - · DOI
- [11][11] R. Krueger, T.H. Rashidi, and J.M. Rose. (2016). Preferences for shared autonomous vehicles. Transportation Research Part C: Emerging Technologies. 69 , pp. 343-355. DOI: 10.1016/j.trc.2016.06.015 - · DOI · Paper page
- [12][12] A. Alessandrini, R. Alfonsi, P.D Site, and D. Stam. (2014). Users' preferences towards automated road public transport: results from European surveys. Transportation Research Procedia. 3 , pp. 139-144. DOI: 10.1016/j.trpro.2014.10.099 - · DOI
- [13][13] J. Piao, M. McDonald, N. Hounsell, M. Graindorge, T. Graindorge, and N. Malhene. (2016). Public Views towards Implementation of Automated Vehicles in Urban Areas. Transportation Research Procedia. 14 , pp. 2168-2177. DOI: 10.1016/j.trpro.2016.05.232 - · DOI · Paper page
- [14][14] D. Christie, A. Koymans, T. Chanard, J.M. Lasgouttes, and V. Kaufmann. (2016). Pioneering driverless electric vehicles in Europe: the City Automated Transport System (CATS). Transportation Research Procedia. 13 , pp. 30-39. DOI: 10.1016/j.trpro.2016.05.004 - · DOI
- [17][17] L. Owczarzak and J. Zak. (2015). Design of passenger public transportation solutions based on autonomous vehicles and their multiple criteria comparison with traditional forms of passenger transportation. Transportation Research Proedica. 10 , pp. 472-482. DOI: 10.1016/j.trpro.2015.09.001 - · DOI · Paper page
- [18][18] D. Nicolaides, D. Cebon, and J. Mile, 'An autonomous taxi service for sustainable urban transportation,' in Proceeding of 2017 Smart City Symposium Prague (SCSP2017) , Prague, 2017. DOI: 10.1109/SCSP.2017.7973353 - · DOI
- [20][20] O.J. Ibarra-Rojas, F. Delgado, R. Giesen, J.C. Muñoz. (2015). Planning, operation, and control of bus transport systems: A literature review, Transportation Research Part B: Methodological. 77 , pp. 38-75. DOI: 10.1016/j.trb.2015.03.002 - · DOI
- [21][21] C. Csiszár, D. Földes. (2018). System Model for Autonomous Road Freight Transportation Promet-Traffic & Transportation. 30(1) , pp. 93103. DOI: 10.7307/ptt.v30i1.2566 - · DOI
- [22][22] Y. Shiftan, S. Kaplan, S. Hakkert. (2003). Scenario building as a tool for planning a sustainable transportation system. Transportation Research Part D: Transport and Environment . 8, pp. 323-342. DOI: 10.1016/S1361-9209(03)00020-8 - · DOI
- [23][23] S. Guo, Y. Liu, K. Xu., D.M. Chiu, 'Understanding Passenger Reaction to Dynamic Prices in Ride-on-demand Service,' in Proceeding of Pervasive Computing and Communications Workshops , Kona, USA, 2017. DOI: 10.1109/PERCOMW.2017.7917517 - · DOI
- [24][24] M. Stiglic, N. Agatz, M. Savelsbergh, M. Gradisar. (2017). The benefits of meeting points in ride-sharing systems. Transportation Research Part B: Methodological. 82 , pp. 36-53. DOI: 10.1016/j.trb.2015.07.025 - · DOI
- [25][25] T.M. Haladyna, 'Guidelines for Developing MC Items,' in Developing and Validating Multiple-Choice Test Items . Routledge Taylor & Francis Group, 2011, pp. 97-127. -
- [26][26] T. Nemoto, D. Beglar, 'Developing Likert-Scale Questionnaires,' in Proceeding of JALT2013 , Tokyo, 2014.
Cited by
Sorted by citations
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Makahleh, H. Y., Ferranti, E. J. S., & Dissanayake, D. (2024) · Future Transportation · doi:10.3390/futuretransp4020017 · Cited by 55 · see citing works
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review