File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

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

TitleAre millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California
Authors
KeywordsAttitudes and preferences
Travel multimodality
Latent class analysis
Millennials
Shared mobility
Issue Date2020
Citation
Transportation, 2020, v. 47 n. 5, p. 2505-2528 How to Cite?
Abstract© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Millennials tend to use a variety of travel modes more often than older birth cohorts. Two potential explanations for this phenomenon prevail in the literature. According to the first explanation, millennials often choose travel multimodality at least in part because of the effects of the economic crisis, which affected young adults more severely than their older counterparts. Another explanation points to the fact that millennials may have fundamentally different preferences from those of older birth cohorts. This paper presents an examination of millennials’ travel behavior as compared to the preceding Generation X, based on a survey of 1069 California commuters. It shows that millennials adopt multimodality more often than Gen Xers, on average. However, the analysis also points to substantial heterogeneity among millennials and indicates that, perhaps contrary to expectations and the stereotype in the media, the majority of millennials are monomodal drivers in California. The paper contributes to the literature on millennials’ mobility in several ways. First, it rigorously classifies various forms of travel multimodality (on a monthly basis and distinctively taking trip purpose into account) through the analysis of a rich dataset that includes individual attitudes and preferences; second, it explores gradual changes of multimodality across age and generation; and third, it analyzes the effects of various demographic, built environment, and attitudinal attributes on the adoption of multimodality.
Persistent Identifierhttp://hdl.handle.net/10722/286996
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 1.363
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, Yongsung-
dc.contributor.authorCircella, Giovanni-
dc.contributor.authorMokhtarian, Patricia L.-
dc.contributor.authorGuhathakurta, Subhrajit-
dc.date.accessioned2020-09-07T11:46:13Z-
dc.date.available2020-09-07T11:46:13Z-
dc.date.issued2020-
dc.identifier.citationTransportation, 2020, v. 47 n. 5, p. 2505-2528-
dc.identifier.issn0049-4488-
dc.identifier.urihttp://hdl.handle.net/10722/286996-
dc.description.abstract© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Millennials tend to use a variety of travel modes more often than older birth cohorts. Two potential explanations for this phenomenon prevail in the literature. According to the first explanation, millennials often choose travel multimodality at least in part because of the effects of the economic crisis, which affected young adults more severely than their older counterparts. Another explanation points to the fact that millennials may have fundamentally different preferences from those of older birth cohorts. This paper presents an examination of millennials’ travel behavior as compared to the preceding Generation X, based on a survey of 1069 California commuters. It shows that millennials adopt multimodality more often than Gen Xers, on average. However, the analysis also points to substantial heterogeneity among millennials and indicates that, perhaps contrary to expectations and the stereotype in the media, the majority of millennials are monomodal drivers in California. The paper contributes to the literature on millennials’ mobility in several ways. First, it rigorously classifies various forms of travel multimodality (on a monthly basis and distinctively taking trip purpose into account) through the analysis of a rich dataset that includes individual attitudes and preferences; second, it explores gradual changes of multimodality across age and generation; and third, it analyzes the effects of various demographic, built environment, and attitudinal attributes on the adoption of multimodality.-
dc.languageeng-
dc.relation.ispartofTransportation-
dc.subjectAttitudes and preferences-
dc.subjectTravel multimodality-
dc.subjectLatent class analysis-
dc.subjectMillennials-
dc.subjectShared mobility-
dc.titleAre millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11116-019-10026-6-
dc.identifier.scopuseid_2-s2.0-85069661540-
dc.identifier.volume47-
dc.identifier.issue5-
dc.identifier.spage2505-
dc.identifier.epage2528-
dc.identifier.eissn1572-9435-
dc.identifier.isiWOS:000570887300018-
dc.identifier.issnl0049-4488-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats