HOW TO INCREASE URBAN ROAD SAFETY: AN INTEGRATED MODEL FOR PREDICTING PEDESTRIAN BEHAVIOUR BASED ON PSYCHOLOGICAL AND EXTERNAL FACTORS.
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| Title: | HOW TO INCREASE URBAN ROAD SAFETY: AN INTEGRATED MODEL FOR PREDICTING PEDESTRIAN BEHAVIOUR BASED ON PSYCHOLOGICAL AND EXTERNAL FACTORS. |
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| Authors: | STEVIĆ, ŽELJKO1,2, JOVIĆ, ANDRIJANA3 andrijana.jovic@uns.ac.rs, PAPIĆ, ZORAN3, BOGDANOVIĆ, VUK3, SIMEUNOVIĆ, MILAN3, PITKA, PAVLE3 |
| Source: | Baltic Journal of Road & Bridge Engineering (RTU Publishing House). 2026, Vol. 21 Issue 1, p24-55. 32p. |
| Subjects: | Planned behavior theory, Signalized intersections, Road safety measures, Psychological factors, Pedestrian crosswalks, Traffic safety, Human behavior models |
| Abstract: | The study investigates the factors influencing pedestrian decisions to commit temporal violations at signalized intersections, with the aim of enhancing urban road safety. To achieve this, an integrated model combining subjective components from the Theory of Planned Behaviour (TPB) and the Prototype Willingness Model (PWM) with relevant external factors was developed and validated. The findings underscore the significance of external factors – such as pedestrian red signal duration, vehicle flow, roadway length, and the presence of a median refuge island – alongside willingness and perceived behavioural control as key predictors of pedestrian behaviour. Intentions, in contrast, showed limited influence, highlighting the dominance of social-reactive pathways over reasoned decisionmaking in pedestrian violations. The study contributes a novel, comprehensive framework for understanding pedestrian behaviour by integrating psychological and situatio situational predictors, thereby providing valuable insights for the design of safer urban intersections. [ABSTRACT FROM AUTHOR] |
| Copyright of Baltic Journal of Road & Bridge Engineering (RTU Publishing House) is the property of RTU Publishing House 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.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192830377 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: HOW TO INCREASE URBAN ROAD SAFETY: AN INTEGRATED MODEL FOR PREDICTING PEDESTRIAN BEHAVIOUR BASED ON PSYCHOLOGICAL AND EXTERNAL FACTORS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22STEVIĆ%2C+ŽELJKO%22">STEVIĆ, ŽELJKO</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22JOVIĆ%2C+ANDRIJANA%22">JOVIĆ, ANDRIJANA</searchLink><relatesTo>3</relatesTo><i> andrijana.jovic@uns.ac.rs</i><br /><searchLink fieldCode="AR" term="%22PAPIĆ%2C+ZORAN%22">PAPIĆ, ZORAN</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22BOGDANOVIĆ%2C+VUK%22">BOGDANOVIĆ, VUK</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22SIMEUNOVIĆ%2C+MILAN%22">SIMEUNOVIĆ, MILAN</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22PITKA%2C+PAVLE%22">PITKA, PAVLE</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Baltic+Journal+of+Road+%26+Bridge+Engineering+%28RTU+Publishing+House%29%22">Baltic Journal of Road & Bridge Engineering (RTU Publishing House)</searchLink>. 2026, Vol. 21 Issue 1, p24-55. 32p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Planned+behavior+theory%22">Planned behavior theory</searchLink><br /><searchLink fieldCode="DE" term="%22Signalized+intersections%22">Signalized intersections</searchLink><br /><searchLink fieldCode="DE" term="%22Road+safety+measures%22">Road safety measures</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+factors%22">Psychological factors</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrian+crosswalks%22">Pedestrian crosswalks</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+safety%22">Traffic safety</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior+models%22">Human behavior models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The study investigates the factors influencing pedestrian decisions to commit temporal violations at signalized intersections, with the aim of enhancing urban road safety. To achieve this, an integrated model combining subjective components from the Theory of Planned Behaviour (TPB) and the Prototype Willingness Model (PWM) with relevant external factors was developed and validated. The findings underscore the significance of external factors – such as pedestrian red signal duration, vehicle flow, roadway length, and the presence of a median refuge island – alongside willingness and perceived behavioural control as key predictors of pedestrian behaviour. Intentions, in contrast, showed limited influence, highlighting the dominance of social-reactive pathways over reasoned decisionmaking in pedestrian violations. The study contributes a novel, comprehensive framework for understanding pedestrian behaviour by integrating psychological and situatio situational predictors, thereby providing valuable insights for the design of safer urban intersections. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Baltic Journal of Road & Bridge Engineering (RTU Publishing House) is the property of RTU Publishing House 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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.7250/bjrbe.2026-21.672 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 24 Subjects: – SubjectFull: Planned behavior theory Type: general – SubjectFull: Signalized intersections Type: general – SubjectFull: Road safety measures Type: general – SubjectFull: Psychological factors Type: general – SubjectFull: Pedestrian crosswalks Type: general – SubjectFull: Traffic safety Type: general – SubjectFull: Human behavior models Type: general Titles: – TitleFull: HOW TO INCREASE URBAN ROAD SAFETY: AN INTEGRATED MODEL FOR PREDICTING PEDESTRIAN BEHAVIOUR BASED ON PSYCHOLOGICAL AND EXTERNAL FACTORS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: STEVIĆ, ŽELJKO – PersonEntity: Name: NameFull: JOVIĆ, ANDRIJANA – PersonEntity: Name: NameFull: PAPIĆ, ZORAN – PersonEntity: Name: NameFull: BOGDANOVIĆ, VUK – PersonEntity: Name: NameFull: SIMEUNOVIĆ, MILAN – PersonEntity: Name: NameFull: PITKA, PAVLE IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1822427X Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: Baltic Journal of Road & Bridge Engineering (RTU Publishing House) Type: main |
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