
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Tackling Fragmented Last Mile Deliveries to Nanostores by Utilizing Spare Transportation Capacity—A Simulation Study

Tackling Fragmented Last Mile Deliveries to Nanostores by Utilizing Spare Transportation Capacity—A Simulation Study
Last mile deliveries in urban areas cause a disproportionate unsustainable impact, while it is also the most expensive part of the supply chain. This is particularly true for freight flows that are characterized by fragmentation. Logistically, this becomes apparent in vehicles that are driving around with a low vehicle fill rate, leading to the unnecessary presence of freight vehicles in our cities. This study focuses on the operational feasibility of utilizing the spare transportation capacity of a service-driven company as a potential solution to supply small independent retailers, or nanostores. The aim is to reduce inefficient vehicle movement. Based on a real-life implementation, we use SYnchronization Model for Belgian Inland Transport (SYMBIT), an agent-based model, to simulate various bundling scenarios. Results show the total vehicle kilometers and lead times to supply nanostores for the service-driven company to serve its customers. There is a potential to utilize spare capacity to supply nanostores while maintaining a decent service level. The number of vehicle kilometers driven highly depends on the location of the distribution center where the service-driven company operates. Based on these results, the conditions that have to be met to replicate this solution in other urban areas are discussed.
- Université Libre de Bruxelles Belgium
- Hasselt University Belgium
- Research Foundation - Flanders Belgium
- Vrije Universiteit Brussel Belgium
- Research Foundation - Flanders Belgium
urban freight transport, ABM, TJ807-830, TD194-195, nanostores, Renewable energy sources, last mile, discrete-event model, fragmentation, spare transportation capacity, GE1-350, Environmental effects of industries and plants, Geographic Information System, DEM, last mile; urban freight transport; inefficiency; fragmentation; spare transportation capacity; nanostores; citylab; SYMBIT; agent-based modeling; ABM; Geographic Information System; GIS; discrete-event model; DEM, inefficiency, agent-based modeling, SYMBIT, GIS, Environmental sciences, citylab
urban freight transport, ABM, TJ807-830, TD194-195, nanostores, Renewable energy sources, last mile, discrete-event model, fragmentation, spare transportation capacity, GE1-350, Environmental effects of industries and plants, Geographic Information System, DEM, last mile; urban freight transport; inefficiency; fragmentation; spare transportation capacity; nanostores; citylab; SYMBIT; agent-based modeling; ABM; Geographic Information System; GIS; discrete-event model; DEM, inefficiency, agent-based modeling, SYMBIT, GIS, Environmental sciences, citylab
13 Research products, page 1 of 2
- 2021IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
- 2019IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
- 2020IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
- 2019IsAmongTopNSimilarDocuments
- 2020IsAmongTopNSimilarDocuments
- 2021IsAmongTopNSimilarDocuments
chevron_left - 1
- 2
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).44 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
