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Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks

Author

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  • Irena Ištoka Otković

    (Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, 31 000 Osijek, Croatia)

  • Aleksandra Deluka-Tibljaš

    (Faculty of Civil Engineering, University of Rijeka, 51 000 Rijeka, Croatia)

  • Sanja Šurdonja

    (Faculty of Civil Engineering, University of Rijeka, 51 000 Rijeka, Croatia)

  • Tiziana Campisi

    (Faculty of Engineering and Architecture, University of Enna KORE, 94100 Enna, Italy)

Abstract

Modeling the behavior of pedestrians is an important tool in the analysis of their behavior and consequently ensuring the safety of pedestrian traffic. Children pedestrians show specific traffic behavior which is related to cognitive development, and the parameters that affect their traffic behavior are very different. The aim of this paper is to develop a model of the children-pedestrian’s speed at a signalized pedestrian crosswalk. For the same set of data collected in the city of Osijek—Croatia, two models were developed based on neural network and multiple linear regression. In both cases the models are based on 300 data of measured children speed at signalized pedestrian crosswalks on primary city roads located near a primary school. As parameters, both models include the selected traffic infrastructure features and children’s characteristics and their movements. The models are validated on data collected on the same type of pedestrian crosswalks, using the same methodology in two other urban environments—the city of Rijeka, Croatia and Enna in Italy. It was shown that the neural network model, developed for Osijek, can be applied with sufficient reliability to the other two cities, while the multiple linear regression model is applicable with relatively satisfactory reliability only in Rijeka. A comparative analysis of the statistical indicators of reliability of these two models showed that better results are achieved by the neural network model.

Suggested Citation

  • Irena Ištoka Otković & Aleksandra Deluka-Tibljaš & Sanja Šurdonja & Tiziana Campisi, 2021. "Development of Models for Children—Pedestrian Crossing Speed at Signalized Crosswalks," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:777-:d:480593
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    References listed on IDEAS

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    1. Benedikt Schwab & Christof Beil & Thomas H. Kolbe, 2020. "Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems," Sustainability, MDPI, vol. 12(9), pages 1-25, May.
    2. Ivan Blečić & Tanja Congiu & Giovanna Fancello & Giuseppe Andrea Trunfio, 2020. "Planning and Design Support Tools for Walkability: A Guide for Urban Analysts," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    3. Tiziana Campisi & Socrates Basbas & Giovanni Tesoriere & Mirto Trouva & Thomas Papas & Iva Mrak, 2020. "How to Create Walking Friendly Cities. A Multi-Criteria Analysis of the Central Open Market Area of Rijeka," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    4. Chiara Gruden & Irena Ištoka Otković & Matjaž Šraml, 2020. "Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
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    Citations

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    1. Marie-Soleil Cloutier & Mojgan Rafiei & Lambert Desrosiers-Gaudette & Zeinab AliYas, 2022. "An Examination of Child Pedestrian Rule Compliance at Crosswalks around Parks in Montreal, Canada," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    2. Malik Sarmad Riaz & Ariane Cuenen & Evelien Polders & Muhammad Bilal Akram & Moustafa Houda & Davy Janssens & Marc Azab, 2022. "Child Pedestrian Safety: Study of Street-Crossing Behaviour of Primary School Children with Adult Supervision," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    3. Wang, Qiao & Chen, Juan & Jiang, Rui & Song, Weiguo & Li, Ruoyu & Lian, Liping & Ma, Jian, 2023. "Experimental study on the zebra crossing traffic flow characteristics of mixed bicycles and pedestrians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    4. Piotr Szagała & Piotr Olszewski & Witold Czajewski & Paweł Dąbkowski, 2021. "Active Signage of Pedestrian Crossings as a Tool in Road Safety Management," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    5. Li, Weigang & Liu, Jian, 2023. "Analysis of the evolution of pedestrian crossing based on dynamic penalty mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    6. Irena Ištoka Otković & Barbara Karleuša & Aleksandra Deluka-Tibljaš & Sanja Šurdonja & Mario Marušić, 2021. "Combining Traffic Microsimulation Modeling and Multi-Criteria Analysis for Sustainable Spatial-Traffic Planning," Land, MDPI, vol. 10(7), pages 1-26, June.
    7. Chiara Gruden & Irena Ištoka Otković & Matjaž Šraml, 2021. "Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study," Sustainability, MDPI, vol. 13(8), pages 1-16, April.

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