Investigating Factors Affecting Road Freight Overloading Through the Integrated Use of BLR and Cart: A Case Study in China

Abstract

<jats:p>Overloading of road freight vehicles accelerates road damage, creates unfair competition in the transport market, and increases safety risk. There is a dearth of research on the mining of data of highway Freight Weight (FW), and this paper therefore aims to discover factors affecting road freight overloading based on highway FW data, with a view of developing strategies to mitigate such occurrences. A comprehensive sampling survey of road freight transportation was conducted in Anhui Province (China). Vehicle Characteristics (VC), Operation Mode (OM), and transportation information from a total of 3248 trucks were collected. In order to take advantage of the strengths associated with both statistical modelling techniques and non-parametric methods, a Classification And Regression Tree (CART) technique was integrated with Binary Logistic Regression (BLR) to reveal the factors affecting road freight overloading. The classification efficacy test shows that the BLR–CART method outperformed the BLR method in term of accuracy. It is also revealed that the factors affecting overloading of freight vehicles are the Type of Transportation (ToT), Rated Load (RL), OM, FW during the investigation period, interaction between RL and FW, and interaction among RL, FW, and Average Haul Distance (AHD). Road transport authorities should pay greater attention to these factors in order to improve efficiency and effectiveness of overloading inspection.</jats:p>

The Effect of Overload on the Design of Life of Road Pavement (Case Study: Koti Road, Jayapura City)

“…At the location under review, the traffic load is quite heavy and allows vehicles to experience overloading [11][12] [13] which can result in road damage and reduce the design life of the road. Through this research, it is hoped that the authors will find out the value of the reduced design life [14][15] [16] so that they can provide solutions for road damage that occurs.…”