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The aim of the article is to develop a model for assessing the safety of children’s travel. Safety is the most important indicator describing the mobility system of children, even more important than the costs of operating it. Due to the dynamic development of intelligent solutions, it is possible to undertake additional activities supporting the improvement of children’s safety when traveling to and from school. However, their implementation requires an adequate assessment of a children’s mobility system. Currently, there are no solutions that could comprehensively support the decision-making process in this sphere. The article presents the issues of children’s mobility, a literature review in this area, mathematical model for assessing school bus travel, and a computational example. The presented approach is an original solution allowing for evaluation of the existing systems and their development scenarios. In addition, it enables the comparison of children mobility systems of different complexity and scale.
Czasopismo
Rocznik
Tom
Strony
695--706
Opis fizyczny
Bibliogr. 44 poz., rys., tab.
Twórcy
autor
- Warsaw University of Technology, Faculty of Transport, ul. Koszykowa 75, 00-662, Warsaw, Poland
autor
- Warsaw University of Technology, Faculty of Transport, ul. Koszykowa 75, 00-662, Warsaw, Poland
autor
- Warsaw University of Technology, Faculty of Mechanical and Industrial Engineering, ul. Narbutta 85, 02-524 Warsaw, Poland
autor
- Warsaw University of Technology, Faculty of Transport, ul. Koszykowa 75, 00-662, Warsaw, Poland
autor
- Motor Transport Institute, ul. Jagiellońska 80, 03-301 Warsaw, Poland
Bibliografia
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- 32. Soczówka P, Klos M, Zochowska R, Sobota A. An analysis of the influence of travel time on access time in public transport. Scientific Journal of Silesian University of Technology. Series Transport 2021; 111: 137–149, https://doi.org/10.20858/sjsutst.2021.111.12.
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- 39. Westman J, Friman M, Olsson L E. What Drives Them to Drive?—Parents’ Reasons for Choosing the Car to Take Their Children to School. Frontiers in Psychology 2017, https://doi.org/10.3389/fpsyg.2017.01970.
- 40. Yongjun Z, Xueli Z, Shuxian Z, shenghui G. Intelligent transportation system based on Internet of Things. World Automation Congress 2012, 2012: 1–3.
- 41. Travel and Environmental Implications of School Siting. U.S. Environmental Protection Agency: 2003.
- 42. Dzieci w wieku 0-14 lat w ruchu drogowym dla okresu od 2010 do 2019 roku. Polskie Obserwatorium Bezpieczeństwa Ruchu Drogowego: 2020.
- 43. Global Status Report on Road Safety 2018. Geneva, World Health Organization: 2018.
- 44. Integrated system for safe transportation of children to school(SAFEWAY2SCHOOL). [https://cordis.europa.eu/project/id/233967].
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-49b496ca-97ec-4fd8-a14e-f8872d2cdff9