Cited by 109Transportation Planning and OptimizationUrban Transport and AccessibilityTransportation and Mobility Innovations

Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California

Lee, Yongsung, Circella, Giovanni, Mokhtarian, Patricia L., Guhathakurta, Subhrajit·2020·Transportation

Integrity signals

Registry

Crossref · 10.1007/s11116-019-10026-6

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lee, Y., Circella, G., Mokhtarian, P. L., & Guhathakurta, S.
Affiliations
  • Georgia Institute of Technology (US)
  • University of California, Davis (US)
Venue
Transportation
Published
2019-07-09
Volume
47
Issue
5
Pages
2505-2528
ISSN
  • 0049-4488 (ISSN-L)
  • 1572-9435
OpenAlex
W2956823446
Cited by
109
References
2
Citations by year
2026: 10 · 2025: 20 · 2024: 16 · 2023: 22 · 2022: 12 · 2021: 20 · 2020: 7 · 2019: 2
FWCI
11.50
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • U.S. Department of Transportation
  • California Department of Transportation
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Social Sciences › Transportation › Urban Transport and Accessibility
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
Keywords
millennials, Generation X, travel behavior, built environment, economic crisis impact

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