Original scientific paper
https://doi.org/10.7307/ptt.v37i5.952
Factors Influencing Drivers’ Tolerance for Large Vehicle Proportions
Hanbin WANG
; College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, China
Jianxiao MA
; College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, China
Wenyun TANG
; College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, China
*
Chenyang YANG
; College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, China
* Corresponding author.
Abstract
To enhance road traffic safety, this study develops a classification model to assess drivers’ tolerance of large vehicle proportions under varying road conditions. It explores how personal and socioeconomic factors influence this tolerance. Six road scenarios were designed with differences in large vehicle proportion, driving time, vehicle types and road types. Behavioural and willingness surveys collected drivers’ demographics and choices. K-means clustering segmented drivers into “low”, “medium” and “high” tolerance groups, accounting for 6.77%, 51.13% and 42.10%, respectively. Based on clustering results, an ordered logistic regression model further analysed factors influencing large vehicle tolerance. Tolerance correlated positively with household vehicle usage, annual household income, driving duration and weekly driving frequency, and negatively with urban GDP, vehicle ownership and peak congestion index, with age showing no significant effect. Additionally, linear trends were observed for urban peak congestion index, urban vehicle ownership, age and driving duration. In contrast, urban GDP, weekly driving frequency, annual household income and household vehicle usage showed curvilinear effects with gradually diminishing rates of change.
Keywords
urban traffic; drivers’ tolerance to vehicles; ordered logistic regression; drivers; K-means clustering algorithm
Hrčak ID:
336004
URI
Publication date:
25.9.2025.
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