E-cargo bikes, i.e., electric bicycles equipped with baskets for transporting goods, are perceived as an advantageous solution for urban last-mile logistics. Particularly for short distances and low volumes of goods, the use of e-cargo bikes is ideal in urban areas where access of conventional cars may be prohibited. In this context, this study presents an e-cargo bike routing model for urban deliveries. The problem is formulated as a Capacitated Vehicle Routing Problem (CVRP), which takes several aspects into account, such as restrictions on bicycle capacity, road grade and workload balancing. A mathematical model is constructed to solve the problem, and a Genetic Algorithm (GA) is applied. Results on a case study in Athens, Greece are presented and analyzed, highlighting the applicability of the model in real-world operations, yielding reasonable results in short computational times.
Last-Mile Logistics Network Design under E-Cargo Bikes
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Green Logistics System: Cargo Bikes as an Alternative to Light Trucks
Springer Verlag | 2024
|Last-Mile-Logistics : best practices
TIBKAT | 2004
|Last-Mile-Logistics: Best Practices
SLUB | 2004
|Last-Mile Logistics in Urban Areas
TIBKAT | 2020
|MODELING FRAMEWORK FOR LAST-MILE LOGISTICS SERVICES
TIBKAT | 2018
|