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

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