Intelligent Functional Clustering and Spatial Interactions of Urban Freight System: A Data-Driven Framework for Decoding Heavy-Duty Truck Behavioral Heterogeneity

The rapid development of the logistics industry has underscored the urgent need for efficient and sustainable urban freight systems. As a core component of freight systems, heavy-duty trucks (HDT) have been researched regarding surface-level descriptive statistics of their heterogeneities, such as t...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Ruixu Pan, Quan Yuan, Chen Liu, Jiaming Cao, Xingyu Liang
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	heavy-duty truck trajectory data urban logistics functional clustering freight trip
Online Access:	https://www.mdpi.com/2076-3417/15/15/8337