Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes

Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes

Daily transportation mode choice is largely habitual, but transitions between life events may disrupt travel habits and can shift choices between alternative transportation modes. Although much is known about general mode switches following life event transitions, less is understood about difference...

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Bibliografische gegevens
Hoofdauteurs: Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2020-01-01
Reeks:IEEE Access
Onderwerpen:
Life cycle
mode use
gender
generation
joint social sequence clustering
machine learning
Online toegang:https://ieeexplore.ieee.org/document/9229427/

Internet

https://ieeexplore.ieee.org/document/9229427/

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