Abstract
To reduce the negative impact of transport on the climate, important steps are the transition to more sustainable energy sources, the development of public transport, and the promotion of electric and other environmentally friendly modes of transport. Various mobility concepts (such as delivery with electric vans, cargo bicycles, the use of mobile micro-hubs, and automated deliveries using robots, drones, or autonomous vehicles) demonstrate approaches to creating a foundation for alternative and environmentally friendly urban logistics. In densely populated cities, electric cargo bicycles are becoming increasingly popular as a replacement for vans and cars to deliver groceries and parcels. The research aims to assess the effectiveness of using cargo bicycles as an alternative to cars for transporting small consignments within city limits. A simulation model has been developed to form cargo transportation routes within the city. The model is based on applying a genetic algorithm and considers specified constraints on time, distance, and available resources (vehicles and personnel). The study compared different technologies for serving customers of a supermarket chain (pendulum routes and distribution-assembly routes). At the same time, modeling was carried out for the conditions of use of various vehicles (an electric cargo bike and a car). The experiment results showed that the use of cargo bicycles significantly reduces emissions of harmful substances, decreases energy consumption, leads to lower delivery costs, provides companies with greater flexibility in organizing logistics processes, and, at the same time, has a significant positive social impact.
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Shramenko, N., Hupfer, C., Shramenko, V., Trojanowski, P. (2024). Green Logistics System: Cargo Bikes as an Alternative to Light Trucks. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Rauch, E., Piteľ, J. (eds) Advances in Design, Simulation and Manufacturing VII. DSMIE 2024. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-61797-3_38
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