Factors Influencing Drivers’ Tolerance for Large Vehicle Proportions
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| Názov: | Factors Influencing Drivers’ Tolerance for Large Vehicle Proportions |
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| Autori: | Hanbin WANG, Jianxiao MA, Wenyun TANG, Chenyang YANG |
| Zdroj: | Promet (Zagreb), Vol 37, Iss 5, Pp 1286-1300 (2025) |
| Informácie o vydavateľovi: | University of Zagreb, Faculty of Transport and Traffic Sciences, 2025. |
| Rok vydania: | 2025 |
| Zbierka: | LCC:Transportation engineering |
| Predmety: | urban traffic, drivers’ tolerance to vehicles, ordered logistic regression, drivers, k-means clustering algorithm, Transportation engineering, TA1001-1280 |
| Popis: | 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. |
| Druh dokumentu: | article |
| Popis súboru: | electronic resource |
| Jazyk: | English |
| ISSN: | 0353-5320 1848-4069 |
| Relation: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/952; https://doaj.org/toc/0353-5320; https://doaj.org/toc/1848-4069 |
| DOI: | 10.7307/ptt.v37i5.952 |
| Prístupová URL adresa: | https://doaj.org/article/4f7b5a6316b64ffc93b100e1481aac09 |
| Prístupové číslo: | edsdoj.4f7b5a6316b64ffc93b100e1481aac09 |
| Databáza: | Directory of Open Access Journals |
Nájsť tento článok vo Web of Science | Abstrakt: | 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. |
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| ISSN: | 03535320 18484069 |
| DOI: | 10.7307/ptt.v37i5.952 |