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Internet of Everything. Second EAI International Conference, IoECon 2023, Guimarães, Portugal, September 28-29, 2023, Proceedings

Research Article

Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods

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  • @INPROCEEDINGS{10.1007/978-3-031-51572-9_10,
        author={Olesia Hriekova and Andrii Galkin and Tibor Schlosser and Oleksii Prasolenko and Nadiia Sokolova},
        title={Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods},
        proceedings={Internet of Everything. Second EAI International Conference, IoECon 2023, Guimar\"{a}es, Portugal, September 28-29, 2023, Proceedings},
        proceedings_a={IOECON},
        year={2024},
        month={2},
        keywords={Urban Regression analysis Time Period Delivery emission},
        doi={10.1007/978-3-031-51572-9_10}
    }
    
  • Olesia Hriekova
    Andrii Galkin
    Tibor Schlosser
    Oleksii Prasolenko
    Nadiia Sokolova
    Year: 2024
    Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods
    IOECON
    Springer
    DOI: 10.1007/978-3-031-51572-9_10
Olesia Hriekova1,*, Andrii Galkin1, Tibor Schlosser2, Oleksii Prasolenko1, Nadiia Sokolova1
  • 1: Beketov National University of Urban Economy in Kharkiv, 17 Marshala Bazhanova Street, O.M
  • 2: Slovak Technical University in Bratislava
*Contact email: olesia.hriekova@kname.edu.ua

Abstract

Paper present influence of time windows during the day on efficiency of urban freight delivery. Field research was obtained to gathering freight logistics data according to which models were build. The regression models obtained in the paper described the speed of delivery in the network during peak and off-peak periods and allow one to evaluate parameters of the freight tours process in the current scenario. Obtaining the choice of time periods has an impact on delivery tours: load capacity of a vehicle, quantity of delivery bays, etc. The results are useful for logistics operators, planners, and authorities.

Keywords
Urban Regression analysis Time Period Delivery emission
Published
2024-02-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-51572-9_10
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