The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Connected Autonomous Vehicles: Travel Behavior and Energy Use
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In contrast, reliability, comfort, and reduced perceived value of time may encourage long commute distances, contributing to urban sprawl and influencing real-estate values in ex-urban areas (Heinrichs, 2016; Rubin, 2016; Snyder, 2016).”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Rubin, 2016
Citations
Cites
A Theory of the Allocation of Time
Becker, G. S. (1965) · The Economic Journal · doi:10.2307/2228949 · Cited by 10,354
Fagnant, D. J., & Kockelman, K. M. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2013.12.001 · Cited by 1,177
The Economics of Urban Transportation
Small, K. A., Verhoef, E. T., & Lindsey, R. (2007) · Routledge eBooks · doi:10.4324/9780203642306 · Cited by 1,030
Autonomous Vehicle Technology: A Guide for Policymakers
(2014) · RAND Corporation eBooks · doi:10.7249/rr443 · Cited by 589
Value of travel time reliability: A review of current evidence
Carrion, C., & Levinson, D. (2012) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2012.01.003 · Cited by 447
Schrank, D. L., Eisele, B., Lomax, T., & Bak, J. (2015) · Cited by 436
Small, K. A. (2012) · Economics of Transportation · doi:10.1016/j.ecotra.2012.09.002 · Cited by 360
Meta-analysis of UK values of travel time: An update
Abrantes, P. A. L., & Wardman, M. R. (2011) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2010.08.003 · Cited by 326
An Analysis of Possible Energy Impacts of Automated Vehicles
Brown, A., Gonder, J., & Repac, B. (2014) · Lecture Notes in Mobility · doi:10.1007/978-3-319-05990-7_13 · Cited by 217
An international meta-analysis of values of travel time savings
Shires, J. D., & de Jong, G. C. (2009) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2009.06.010 · Cited by 159
Research works printed but not linked: 2
- MacKenzie D, Wadud Z, Leiby PN (2014) A first order estimate of energy impacts of automated vehicles in the united states. In: Transportation research board annual meeting, Vol. 93rd. The National Academies, Washington, DC
- Belenky P (2011) Revised departmental guidance on valuation of travel time in economic analysis. US Department of Transportation, Washington, DC
Cited by
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Currie, G. (2019) · Journal of Transport and Land Use · doi:10.5198/jtlu.2019.1405 · Cited by 427
“SAE’s taxonomy and automation levels have become an industry standard, and also frequently referred in the academic literature (Rubin, 2016; Scheltes & de Almeida Correia, 2017; Walker & Marchau, 2017; Shladover, 2018).”
Background
Metadata
- Authors
- Rubin, J.
- Affiliations
- University of Maine (US)
- Corresponding author
- Rubin, Jonathan
- ORCID
- Rubin, Jonathan
- Venue
- Lecture Notes in Mobility
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 151-162
- ISSN
- 2196-5544 (ISSN-L)
- 2196-5552
- OpenAlex
- W2492106320
- Cited by
- 13
- References
- 24
- Citations by year
- 2024: 2 · 2023: 2 · 2021: 1 · 2019: 5 · 2018: 2 · 2016: 1
- FWCI
- 6.25
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in mobility (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- connected and autonomous vehicles, travel behavior, energy consumption, greenhouse gas emissions, value of travel time, urban density, traffic congestion, mobility policy
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Connected Autonomous Vehicles: Travel Behavior and Energy Use. https://app.cochat.ai/papers/10.1007/978-3-319-40503-2_12
- The paper
- Rubin, J. (2016). Connected Autonomous Vehicles: Travel Behavior and Energy Use. Lecture Notes in Mobility. https://doi.org/10.1007/978-3-319-40503-2_12
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
