Identifying the Optimal Packing and Routing to Improve Last-Mile Delivery Using Cargo Bicycles

Naumov, Vitalii; Pawluś, Michał

doi:10.3390/en14144132

Cited by 20 publications

(8 citation statements)

References 25 publications

(35 reference statements)

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“…Llorca & Moeckel [1] assessed the potential of cargo bikes and electrification for lastmile parcel delivery by simulating the urban freight flows. Naumov & Pawlus [13] addressed the optimal packing and routing problem to improve LMD using cargo bikes. Niels et al [14] investigated the design and operation of an urban electric courier cargo bike system in Munich, Germany.…”

Section: Literature Reviewmentioning

confidence: 99%

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

et al. 2023

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Nowadays, cargo bikes play a vital role in the last-mile delivery process. Parcel distribution by cargo bikes becomes a more accessible and ecologically friendly solution. This paper addresses the investment decision on the cargo bike delivery concept selection problem. We investigated a better solution in terms of whether the company needs to perform the delivery by investing in its fleet of cargo bikes or renting cargo bikes from a third party. The third solution is to combine those two alternatives. This case considers four criteria: cargo bike procurement cost, cargo bike maintenance cost, return on investment, and financial profitability. To solve this problem, we applied the extended alternative ranking order method accounting two-step normalization (AROMAN) method. The results compared with the MARCOS and ARAS methods confirmed that delivery concept 2 (i.e. renting cargo bikes from third-party providers) represented the best solution for the e-commerce company.

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Section: Literature Reviewmentioning

confidence: 99%

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

et al. 2023

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“…Table 4 shows the corresponding results. The best resulting route set for ACO consists of five routes in this case ( [21,20,25,19,2,1], [23,10,11,3], [12,13,5,6,4], [24,17,16,15,14,22], [9,8,7,18]) versus four routes for the GA ( [13,20,21,2,12,9,5], [6,8,3,22,7,4,1], [18,14,24,23,10,11], [16,15,17,19,25]). As seen in Table…”

Section: Ga Performance Validationmentioning

confidence: 99%

“…A heuristic solver integrated into Geographic Information Software (GIS) was used to handle the problem. More recently, Naumov and Pawluś [18] applied a local search algorithm to determine optimal routes for e-cargo bikes under load-dependent speed and packing constraints. Fontaine [19] presented a model and an adaptive large neighborhood algorithm for the VRP under load-dependent speed as well, considering conventional cargo bicycles.…”

Section: Introductionmentioning

confidence: 99%

Last-Mile Logistics Network Design under E-Cargo Bikes

Papaioannou

Iliopoulou

Κεπαπτσόγλου

2023

Future Transportation

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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.

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“…In practice, while planning the deliveries of cargo by bikes, the combined consignments are usually prepared by transport operators: to minimize the total delivery distance, the routing procedures are used to combine the requests for deliveries during the given time window (the vehicle capacity must be considered in such cases as the model constraint to prevent the overload of vehicles). The transport demand model should reflect the real-world rational behavior of operators; it could be approximated by the implementation within the model of vehicle routing procedures (the example of such implementation is described in [25]).…”

Section: Simulations Of the Demand For Deliveriesmentioning

confidence: 99%

Estimating the Emissions Reduction Due to the Use of Cargo Bikes: Case Studies for the Selected European Cities

et al. 2022

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Contemporary cities need new solutions to reduce the harmful impact of freight transport, such as traffic congestion, air pollution, and noise emissions, which have increased in the last few years. This especially concerns central parts of cities due to the architectural features of urban space. The concept of green logistics intends to replace currently used combustion engine vehicles with zero-emissions technologies such as the use of cargo bikes to deliver goods to final recipients located in the city districts with dense urban development. However, the use of cargo bikes for certain architectural, transport, and business conditions must be justified: the positive impact of that innovative means of transport should be evaluated and assessed by decision-makers. We propose a method to evaluate the environmental impact of cargo bikes that replace conventional vehicles in the central district of a city. Our approach assumes simulations of freight travel demand in the selected city area, the estimation of the part of trips to be replaced by cargo bikes, and, finally, the evaluation of the total distance covered by the replaced combustion engine vehicles to show the reduction of CO2 generated by the conventional vehicles. The case studies of the central districts for selected partner cities (Vitoria-Gasteiz, San Sebastian, Dubrovnik, and Mechelen) that participate in the CityChangerCargoBike project are shown to demonstrate the developed methodology.

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Identifying the Optimal Packing and Routing to Improve Last-Mile Delivery Using Cargo Bicycles

Cited by 20 publications

References 25 publications

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

An Extended AROMAN Method for Cargo Bike Delivery Concept Selection

Last-Mile Logistics Network Design under E-Cargo Bikes

Estimating the Emissions Reduction Due to the Use of Cargo Bikes: Case Studies for the Selected European Cities

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