Evaluation of Pedestrian Crossings Based on the Concept of Pedestrian Behavior Regarding Start-Up Time: Integrated Fuzzy MCDM Model.
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| Title: | Evaluation of Pedestrian Crossings Based on the Concept of Pedestrian Behavior Regarding Start-Up Time: Integrated Fuzzy MCDM Model. |
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| Authors: | RISTIĆ, Bojana1 bojana.ristic@sf.ues.rs.ba, BOGDANOVIĆ, Vuk2 vuk@uns.ac.rs, STEVIĆ, Željko3,4 zeljko.stevic@sf.ues.rs.ba, MARINKOVIĆ, Dragan5,6 dragan.marinkovic@tu-berlin.de, PAPIĆ, Zoran2 z.papic@uns.ac.rs, GOJKOVIĆ, Perica7 perica.gojkovic@sf.ues.rs.ba |
| Source: | Technical Gazette / Tehnički Vjesnik. 2024, Vol. 31 Issue 4, p1206-1214. 9p. |
| Subjects: | Pedestrian traffic flow, Traffic safety, Cities & towns, Traffic regulations, Statistical correlation, Pedestrian crosswalks, Pedestrians |
| Abstract: | Planning, designing, defining relevant parameters, and managing traffic represent essential characteristics of its sustainability and safety. However, one of the key characteristics that traffic planners and managers cannot always influence are the characteristics of vehicle and pedestrian traffic flows. Namely, pedestrian behavior, as well as driver behavior, depend on numerous factors, which are influenced by the characteristics of the road, the environment, and socio-economic characteristics. Pedestrians are the most heterogeneous group of traffic participants for whom there are no specific restrictions or conditions, as is the case for drivers. In complex traffic conditions and high traffic loads, the behavior of pedestrians can affect traffic conditions, that is, the level of service. The most complex traffic conditions for pedestrians occur at surface intersections where a limited traffic area - pedestrian crossing, is used by both vehicles and pedestrians, in accordance with traffic regulation and general traffic rules. This paper defines the goal of determining the concept of pedestrian behavior at pedestrian crossings in different cities based on start-up time classified by gender and age groups. Intersections with counters showing pedestrian phase times and those without counters were specifically considered. A novel integrated fuzzy MCDM (Multi-criteria decision-making) model was created to evaluate and rank cities based on start-up time. Fuzzy FUCOM (Full Consistency Method) was used to determine the weights of criteria, while Fuzzy ROV (Range of Value) was used to evaluate and rank cities. Different models were created on a sample of ten thousand pedestrians, segmented by gender and age, for which different results were obtained through analysis. In order to verify the results, sensitivity analysis, comparative analysis, and calculated statistical correlation tests were presented. The results presented are reflected in the following. Female pedestrians in Novi Sad show a higher level of concentration and carefully observe the moment when the pedestrian signal turns green when there is no counter. Doboj represents the city with the best start-up time for pedestrian crossings with counters, while Sarajevo holds that position for crossings without counters. It is important to point out that the sample of female pedestrians shows exceptional results on the same type of pedestrian crossings, as the start-up time is around one second. [ABSTRACT FROM AUTHOR] |
| Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik 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: 179652090 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of Pedestrian Crossings Based on the Concept of Pedestrian Behavior Regarding Start-Up Time: Integrated Fuzzy MCDM Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22RISTIĆ%2C+Bojana%22">RISTIĆ, Bojana</searchLink><relatesTo>1</relatesTo><i> bojana.ristic@sf.ues.rs.ba</i><br /><searchLink fieldCode="AR" term="%22BOGDANOVIĆ%2C+Vuk%22">BOGDANOVIĆ, Vuk</searchLink><relatesTo>2</relatesTo><i> vuk@uns.ac.rs</i><br /><searchLink fieldCode="AR" term="%22STEVIĆ%2C+Željko%22">STEVIĆ, Željko</searchLink><relatesTo>3,4</relatesTo><i> zeljko.stevic@sf.ues.rs.ba</i><br /><searchLink fieldCode="AR" term="%22MARINKOVIĆ%2C+Dragan%22">MARINKOVIĆ, Dragan</searchLink><relatesTo>5,6</relatesTo><i> dragan.marinkovic@tu-berlin.de</i><br /><searchLink fieldCode="AR" term="%22PAPIĆ%2C+Zoran%22">PAPIĆ, Zoran</searchLink><relatesTo>2</relatesTo><i> z.papic@uns.ac.rs</i><br /><searchLink fieldCode="AR" term="%22GOJKOVIĆ%2C+Perica%22">GOJKOVIĆ, Perica</searchLink><relatesTo>7</relatesTo><i> perica.gojkovic@sf.ues.rs.ba</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2024, Vol. 31 Issue 4, p1206-1214. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pedestrian+traffic+flow%22">Pedestrian traffic flow</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+safety%22">Traffic safety</searchLink><br /><searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+regulations%22">Traffic regulations</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrian+crosswalks%22">Pedestrian crosswalks</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrians%22">Pedestrians</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Planning, designing, defining relevant parameters, and managing traffic represent essential characteristics of its sustainability and safety. However, one of the key characteristics that traffic planners and managers cannot always influence are the characteristics of vehicle and pedestrian traffic flows. Namely, pedestrian behavior, as well as driver behavior, depend on numerous factors, which are influenced by the characteristics of the road, the environment, and socio-economic characteristics. Pedestrians are the most heterogeneous group of traffic participants for whom there are no specific restrictions or conditions, as is the case for drivers. In complex traffic conditions and high traffic loads, the behavior of pedestrians can affect traffic conditions, that is, the level of service. The most complex traffic conditions for pedestrians occur at surface intersections where a limited traffic area - pedestrian crossing, is used by both vehicles and pedestrians, in accordance with traffic regulation and general traffic rules. This paper defines the goal of determining the concept of pedestrian behavior at pedestrian crossings in different cities based on start-up time classified by gender and age groups. Intersections with counters showing pedestrian phase times and those without counters were specifically considered. A novel integrated fuzzy MCDM (Multi-criteria decision-making) model was created to evaluate and rank cities based on start-up time. Fuzzy FUCOM (Full Consistency Method) was used to determine the weights of criteria, while Fuzzy ROV (Range of Value) was used to evaluate and rank cities. Different models were created on a sample of ten thousand pedestrians, segmented by gender and age, for which different results were obtained through analysis. In order to verify the results, sensitivity analysis, comparative analysis, and calculated statistical correlation tests were presented. The results presented are reflected in the following. Female pedestrians in Novi Sad show a higher level of concentration and carefully observe the moment when the pedestrian signal turns green when there is no counter. Doboj represents the city with the best start-up time for pedestrian crossings with counters, while Sarajevo holds that position for crossings without counters. It is important to point out that the sample of female pedestrians shows exceptional results on the same type of pedestrian crossings, as the start-up time is around one second. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik 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: 10.17559/TV-20240414001462 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1206 Subjects: – SubjectFull: Pedestrian traffic flow Type: general – SubjectFull: Traffic safety Type: general – SubjectFull: Cities & towns Type: general – SubjectFull: Traffic regulations Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Pedestrian crosswalks Type: general – SubjectFull: Pedestrians Type: general Titles: – TitleFull: Evaluation of Pedestrian Crossings Based on the Concept of Pedestrian Behavior Regarding Start-Up Time: Integrated Fuzzy MCDM Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: RISTIĆ, Bojana – PersonEntity: Name: NameFull: BOGDANOVIĆ, Vuk – PersonEntity: Name: NameFull: STEVIĆ, Željko – PersonEntity: Name: NameFull: MARINKOVIĆ, Dragan – PersonEntity: Name: NameFull: PAPIĆ, Zoran – PersonEntity: Name: NameFull: GOJKOVIĆ, Perica IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13303651 Numbering: – Type: volume Value: 31 – Type: issue Value: 4 Titles: – TitleFull: Technical Gazette / Tehnički Vjesnik Type: main |
| ResultId | 1 |
