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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Bibliographic Details
Main Authors: Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Life cycle
mode use
gender
generation
joint social sequence clustering
machine learning
Online Access:https://ieeexplore.ieee.org/document/9229427/

Internet

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

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