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Analysis of Road Users’ Risk Behaviors in Different Travel Modes: The Bangkok Metropolitan Region, Thailand

Auteur(s): ORCID (Center of Excellence in Urban Mobility Research and Innovation, Faculty of Architecture and Planning, Thammasat University, Pathumthani 12120, Thailand)
(Center of Excellence in Urban Mobility Research and Innovation, Faculty of Architecture and Planning, Thammasat University, Pathumthani 12120, Thailand)
ORCID (Department of Transport Infrastructure and Water Resources Engineering, Széchenyi István University, 9026 Győr, Hungary)
(Department of Transport Infrastructure and Water Resources Engineering, Széchenyi István University, 9026 Győr, Hungary)
Médium: article de revue
Langue(s): anglais
Publié dans: Infrastructures, , n. 4, v. 8
Page(s): 79
DOI: 10.3390/infrastructures8040079
Abstrait:

This study explores road users’ behaviors and accident analyses on different travel modes in the Bangkok Metropolitan Region (BMR). The questionnaire survey was adopted and designed based on contributing factors related to risk behavior perceptions in different travel modes. A total of 3000 participants submitted questionnaires that provided data for a multiple regression model analysis. The results indicated that different travel modes have different risk behavior perceptions. Road users of vulnerable modes of travel, such as walking and cycling, were more aware of risky behaviors than users of others. Risky, violent behavior may occur due to fatigue, driving while taking drugs, or aggressive tactics where the driver may lose control and cause an accident. However, driver negligence, especially violating traffic rules, may sometimes cause risky behavior. The results show that age, gender, education level, income level, marital status, driving experience, accident experience, and attitude toward road safety affect risk behavior perception. In conclusion, the differentiation of vehicles plays a vital role as a critical issue that should be understood for effectively mitigating risks in different travel patterns.

Copyright: © 2023 the Authors. Licensee MDPI, Basel, Switzerland.
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

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    sur cette fiche
  • Reference-ID
    10722692
  • Publié(e) le:
    22.04.2023
  • Modifié(e) le:
    10.05.2023
 
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