Tackling Fragmented Last Mile Deliveries to Nanostores by Utilizing Spare Transportation Capacity—A Simulation Study

Kin, Bram; Ambra, Tomas; Verlinde, Sara; Macharis, Cathy

doi:10.3390/su10030653

Cited by 47 publications

(29 citation statements)

References 40 publications

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“…The investigation of Kin et al [21] allowed to improve the management of the use of the space of the cargo trucks, to reduce the unnecessary movements during the supply of urban zones in Belgium. The synchronization model for Belgian inland transport (SYMBIT) is a model based on agents simulating grouping scenarios.…”

Section: Literature Reviewmentioning

confidence: 99%

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

et al. 2020

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This research proposes a new distribution system of goods in the historical center of the city of Santiago, Chile. For the design of the urban logistic system, the methodology city logistics and last mile are used. This design incorporates to the freight transport flexible solutions that improve the efficiency of the distribution process and trade supply, minimizing the environmental impact of the atmospheric pollution (AP). The proposal was made through the data collection, the characterization of the sector and the diagnosis of the urban logistics processes. The analysis of the factors allowed to evaluate the costs of the AP negative externalities. The causes were used as design criteria for the proposals, with the aim of improving the quality of life of the city users. The physical location selection of the Cross-Docking was made through an optimization model of maximum coverage. The optimization algorithm of the nearest neighbor was proposed for vehicle routing. The analytic hierarchy process (AHP) was used to generate a ranking of the best non-polluting vehicles to be used in the zone. Finally, the results obtained allowed a 53 ton decrease in carbon dioxide in the square kilometer and reduced 1103 h of interruptions per year in the vehicular congestion of the sector.

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Section: Literature Reviewmentioning

confidence: 99%

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

et al. 2020

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“…Last mile Brown and Guiffrida [34], Kin, et al [30], Rizet, et al [35] Discussing e-commerce Handling last-mile delivery Transport in the last mile is not used to its full capacity…”

Section: Logistics Systemmentioning

confidence: 99%

“…One area of potential improvements for environmental-friendly purchasing of transport services [31], reverse logistics [32], transport during the last mile [30] and, in particular, consumer transport [10,29,33,34], and other suppliers in the network [15,22]. Browne, et al [10], who assessed the energy consumption of different product supply chains, found that the energy consumption that was used to transport goods during the last mile to the point of consumption was greater than that of all of the upstream transport activities combined.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency in Logistics: An Interactive Approach to Capacity Utilisation

Wehner

2018

Sustainability

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Logistics operations are energy-consuming and impact the environment negatively. Improving energy efficiency in logistics is crucial for environmental sustainability and can be achieved by increasing the utilisation of capacity. This paper takes an interactive approach to capacity utilisation, to contribute to sustainable freight transport and logistics, by identifying its causes and mitigations. From literature, a conceptual framework was developed to highlight different system levels in the logistics system, in which the energy efficiency improvement potential can be found and that are summarised in the categories activities, actors, and areas. Through semi-structured interviews with representatives of nine companies, empirical data was collected to validate the framework of the causes of the unutilised capacity and proposed mitigations. The results suggest that activities, such as inflexibilities and limited information sharing as well as actors' over-delivery of logistics services, incorrect price setting, and sales campaigns can cause unutilised capacity, and that problem areas include i.a. poor integration of reversed logistics and the last mile. The paper contributes by categorising causes of unutilised capacity and linking them to mitigations in a framework, providing a critical view towards fill rates, highlighting the need for a standardised approach to measure environmental impact that enables comparison between companies and underlining that costs are not an appropriate indicator for measuring environmental impact.

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“…Several urban freight transport strategies could be adopted to find a good balance between positive impacts on accessibility and economic development and negative externalities in terms of congestion and polluting emissions (e.g., [2,3]). Recent and relevant solutions refer to: Demand management (e.g., [4,5]); electrification (e.g., [6,7]), regulatory measures (e.g., [8,9]) and improved capacity utilization (e.g., [10,11]).…”

Section: Introductionmentioning

confidence: 99%

Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts

et al. 2018

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This paper aims at understanding and evaluating the environmental and economic impacts of a crowdshipping platform in urban areas. The investigation refers to the city of Rome and considers an environmental-friendly crowdshipping based on the use of the mass transit network of the city, where customers/crowdshippers pick-up/drop-off goods in automated parcel lockers located either inside the transit stations or in their surroundings. Crowdshippers are passengers that would use the transit network anyhow for other activities (e.g., home-to-work), thus avoiding additional trips. The study requires firstly, estimating the willingness to buy a crowdshipping service like the one proposed here, in order to quantify the potential demand. The estimation is realized adopting an extensive stated preference survey and discrete choice modeling. Then, several scenarios with different features of the service are proposed and evaluated up to 2025 in terms of both externalities (local and global pollutant emissions, noise emissions and accidents reductions) and revenues. The results are useful to understand and quantify the potential of this strategy for last mile B2C deliveries. Moreover, it provides local policy-makers and freight companies with a good knowledge base for the future development of a platform for public transport-based crowdshipping and for estimating the likely impact the system could have both from an economic and environmental point of view.

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Tackling Fragmented Last Mile Deliveries to Nanostores by Utilizing Spare Transportation Capacity—A Simulation Study

Cited by 47 publications

References 40 publications

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

Energy Efficiency in Logistics: An Interactive Approach to Capacity Utilisation

Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts

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