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Machine Learning Modeling of Household Trip Generation by State Using NHTS Data

This study investigates the factors that influence household trip generation across the United States using the National Household Travel Survey (NHTS) dataset. Recognizing the limits of a one-size-fits-all modeling approach, we conduct a two-stage analysis to investigate spatial heterogeneity withi...

Celý popis

Uloženo v:
Hlavní autoři: Saber Naseralavi, Mohammad Soltanirad, Erfan Ranjbar, Martin Lucero, Fateme Gorzin, Yasaman Hakiminejad, Shiva Azimi, Mahdi Baghersad, Akram Mazaheri
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-09-01
Edice:Urban Science
Témata:
trip generation
sustainable transportation planning
sustainable travel behaviors
machine learning modeling
NHTS data
On-line přístup:https://www.mdpi.com/2413-8851/9/9/353
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