A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator
This paper investigates, through a simulation approach, how novel alternative last-mile solutions (LMS) can harmonise network efficiency with environmental sustainability in a Washington D.C. urban setting. The ability of public buses to scale delivery services with demand was fundamental to reducing Greenhouse Gas (GHG) emissions and harmful air pollutants. Extending the network by increasing the number of delivery points, this paper employed a K-means clustering algorithm to determine optimal locations of Urban Consolidation Centres (UCCs). Utilising UCCs enabled further environmental and efficiency gains to be realised through consolidation and the ability to deliver "very last mile" through E-cargo bikes.
Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator
This paper investigates, through a simulation approach, how novel alternative last-mile solutions (LMS) can harmonise network efficiency with environmental sustainability in a Washington D.C. urban setting. The ability of public buses to scale delivery services with demand was fundamental to reducing Greenhouse Gas (GHG) emissions and harmful air pollutants. Extending the network by increasing the number of delivery points, this paper employed a K-means clustering algorithm to determine optimal locations of Urban Consolidation Centres (UCCs). Utilising UCCs enabled further environmental and efficiency gains to be realised through consolidation and the ability to deliver "very last mile" through E-cargo bikes.
Innovative last mile delivery concepts: Evaluating last mile delivery using a traffic simulator
Johnson, Dylan (author) / Chaniotakis, Emmanouil (author)
2021-06-16
2525691 byte
Conference paper
Electronic Resource
English