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BEHAVIORAL CHARACTERISTICS AND FACTORS INFLUENCING RAILWAY CROSSING BEHAVIORS.

  • Published In: Suranaree Journal of Science & Technology, 2024, v. 31, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Jantosut, Piyanat; Tankasem, Phongphan; Kaewwichian, Patiphan; Chaipanha, Wuttikrai; Kaewkluengklom, Rattanaporn; Promraksa, Thanapol; Kumphong, Jetsada 3 of 3

Abstract

A railway level crossing is a risk area despite installations of the warning signal and arm gate that indicate a train approach. Accidents may nevertheless occur if vehicle drivers violate or fail to conform to the rules. Such action is considered a risk behavior that may cause severe collision, injury, and death. Thus, the driver behaviors are the key factors causing accidents. The objective of this study was thus to investigate the risk behaviors and the factors influencing above behaviors. These behaviors were recorded by a high-resolution video camera and the initial data analysis was based on descriptive statistics. An in-depth analysis of the factors influencing the risk behaviors was performed by using Pearson Chi-square technique and Binary Logistic Regression Analysis. The results showed that the railway crossing behaviors of more than half of the drivers under the study were the risk-taking, followed by opportunistic violation. Most violations occurred during the beginning of the warning signal. Overall, the motorcycle riders were found to be the group with greater chance of violating across the railway during the warning signal than the 4-wheeled vehicle drivers. Especially, during the period between the beginning of the warning signal and the complete arm gate closure, as well as the greater width of the crossing road. This could be due to the higher agility and evasive capability of motorcycle riders than 4-wheeled drivers. Additionally, this study recommends approaches to initially prevent or reduce this risky behavior and can serve as a guideline for enhancing areas with physical characteristics similar to the study area. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Suranaree Journal of Science & Technology. 2024/03, Vol. 31, Issue 2, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0858-849X
  • DOI:10.55766/sujst-2024-02-e03055
  • Accession Number:176854099
  • Copyright Statement:Copyright of Suranaree Journal of Science & Technology is the property of Suranaree University of Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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