Simulation-based Assessment of Cargo Bicycle and Pick-up Point in Urban Parcel Delivery

Zhang, Lei; Matteis, Tilman; Thaller, Carina; Liedtke, Gernot

doi:10.1016/j.procs.2018.04.007

Cited by 47 publications

(21 citation statements)

References 3 publications

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“…A popular solution in that respect is organising local Urban Consolidation Centres (UCCs) [43][44][45], located outside city centres, from which deliveries may be made via, among other things: Electric Freight Vehicles (EFVs), Light Electric Freight Vehicles (LEFVs) [46][47][48][49][50], Small Sized Electric Vehicles (SEVs) [51], or e-cargo bikes [52]. The tasks completed by these vehicles may also be supported by a vehicle category called Non-Motorised Transport (NMT), including cargo bikes/cargo cycles [53,54], cycle rickshaws, or handcarts [55]. Even though in the literature there are studies analysing the possibility of using rail transport to handle cargo flows [56][57][58], in practice its use is still significantly limited.…”

Section: Literature Reviewmentioning

confidence: 99%

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Pietrzak

2021

Energies

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This paper focuses on effects of implementing zero-emission buses in public transport fleets in urban areas in the context of electromobility assumptions. It fills the literature gap in the area of research on the impact of the energy mix of a given country on the issues raised in this article. The main purpose of this paper is to identify and analyse economic effects of implementing zero-emission buses in public transport in cities. The research area was the city of Szczecin, Poland. The research study was completed using the following research methods: literature review, document analysis (legal acts and internal documents), case study, ratio analysis, and comparative analysis of selected variants (investment variant and base variant). The conducted research study has shown that economic benefits resulting from implementing zero-emission buses in an urban transport fleet are limited by the current energy mix structure of the given country. An unfavourable energy mix may lead to increased emissions of SO2 and CO2 resulting from operation of this kind of vehicle. Therefore, achieving full effects in the field of electromobility in the given country depends on taking concurrent actions in order to diversify the power generation sources, and in particular on increasing the share of Renewable Energy Sources (RES).

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Section: Literature Reviewmentioning

confidence: 99%

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Pietrzak

2021

Energies

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“…According to them, pick-up points' networks are developing and increasing the number of successful deliveries the first time. Zhang et al [10] treated another delivery transportation means and structure using cargo bicycles and pick-up points. The article showed that delivering parcels with cargo bikes reduces delivery cost and pollution.…”

Section: The Last Mile Delivery: New Challengesmentioning

confidence: 99%

Sizing of the Drone Delivery Fleet Considering Energy Autonomy

et al. 2018

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One of the most innovative solutions treated in the literature in order to reduce the environmental impact of urban parcel delivery logistics is the use of drones for delivery on the last kilometer. Consequently, nowadays, the primary challenge is essentially related to the drones’ fleet sizing according to its means of support for the urban delivery of parcels. In this paper, we will discuss the issue of dimensioning from a forecast of deliveries of an urban perimeter, the size of the fleet, the stock of battery to dispose of and the strategy of battery charging. We will present an analytical model expressing the proposed problem of the optimal drones’ delivery mission taking into account the issues of autonomy and energy consumption related to the drone’s technical specification. According to the developed analytical model, two optimization policies will be proposed. The first policy consists of planning missions under reducing distance. The second policy tries to make a compromise between the distance and the number of drones. A case study will be presented in order to compare the two policies based on the overall cost of a plan. The main objective of the study is to create a decision-making tool for the design of a drone fleet in the case of forecast deliveries over a time horizon under operational constraints.

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“…The difference between the private fixed cost parameter β f ix P and the fixed cost parameter β f ix T SC , which is used for tour planning and operation cost analysis, lies in the tax rate of 19%. The parcel capacity of delivery vans is derived from Zhang et al(27) and cut in half for the car vehicle type. The time cost parameter β time only consists of driver costs.…”

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confidence: 99%

Potential of Private Autonomous Vehicles for Parcel Delivery

Schlenther

Martins-Turner

Bischoff

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Using the same vehicles for both passenger and freight transport, to increase vehicle occupancy and decrease their number, is an idea that drives transport planners and is also being addressed by manufacturers. This paper proposes a methodology to simulate the behavior of such vehicles within an urban traffic system and evaluate their performance. The aim is to investigate the impacts of resignation from fleet ownership by a transport service company (TSC) operating on a city-wide scale. In the simulation, the service provider hires private autonomous cars for tour performance. Based on assumptions concerning the operation of such vehicles and TSCs, the software Multi-Agent Transport Simulation (MATSim) is extended to model vehicle and operator behavior. The proposed framework is applied to a case study of a parcel delivery service in Berlin serving a synthetic parcel demand. Results suggest that the vehicle miles traveled for freight purposes increase because of additional access and egress trips. Moreover, the number of vehicles en route is higher throughout the day. The lowering of driver costs can reduce the costs of the operator by approximately 74.5%. If the service provider additionally considers the resignation from fleet ownership, it might lower the operation cost by another 10%, not taking into account the costs of system transfer or risks like vehicle non-availability. From an economic perspective, the reduction of the overall number of vehicles in the system seems to be beneficial.

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Simulation-based Assessment of Cargo Bicycle and Pick-up Point in Urban Parcel Delivery

Cited by 47 publications

References 3 publications

The Economic Effects of Electromobility in Sustainable Urban Public Transport

The Economic Effects of Electromobility in Sustainable Urban Public Transport

Sizing of the Drone Delivery Fleet Considering Energy Autonomy

Potential of Private Autonomous Vehicles for Parcel Delivery

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