Transforming Urban Logistics 2024

Page 17 of 29 · WEF_Transforming_Urban_Logistics_2024.pdf

3Potential areas of intervention Last-mile delivery can be transformed through holistic ecosystem innovation, powered by data and collaboration. The previous section set out some of the solutions being adopted to address the negative impacts of last-mile delivery (summarized in Figure 4, covering the stages of the value chain). This section builds upon this by modelling the potential impact of select interventions on reducing emissions and congestion as well as considerations such as the economic benefits. Contextual considerations regarding the potential impact of these solutions are first set out in Section 3.1. Market map of possibilities FIGURE 4 Alternative last-mile modes – Micromobility and active travel – Electric vehicles – Autonomous delivery Impacts – Reduced emissions – Reduced demand for road space4 Out-of-home delivery – Pick-up/drop-off (PUDO) delivery networks – Proprietary parcel lockers – Other out-of-home delivery options, including offices Impacts – Reduced individual home deliveries – Fewer trips due to failed deliveries6Warehousing and distribution – Microhubs for fulfilment, cross-docking and EV charging – Ship-from-store Impacts – Reduced number of delivery vehicles – Improved traffic flow1 Shared resources and infrastructure – Urban consolidation centres – Multibrand/open parcel lockers – Shared electric fleets – Consolidated white-label deliveries Impacts – Reduced vehicle trips – Optimized last-mile vehicle usage without extensive infrastructure5Infrastructure and traffic flow – Dedicated loading/parking zones – Low/zero-emission zones – Congestion charging – Pedestrian zones – Dedicated express lanes – Shared charging infrastructure Impacts – Streamlined traffic and reduced congestion – Adoption of transportation sustainable3Scheduling and routing – End-to-end route optimization – Telematics – Retiming of deliveries to balance demand for road space Impacts – Improved fuel efficiency – Minimized idle time – Redistributed traffic load2 Source: Accenture Interventions Impact Modelling Transforming Urban Logistics: Sustainable and Efficient Last-Mile Delivery in Cities 17
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