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Table 7 Estimation of potential demand for crowdshipping by public transport and potential crowdshippers in Rome (year 2025)

From: Sustainable urban freight transport adopting public transport-based crowdshipping for B2C deliveries

Demand
SCENARIOS
Metro usersa
[users/peak hour]
Inhabitantsb Probability to adoptcrowdshipping service Potential demand [orders/day]
SCENARIO 1 138′421 709′579 66.10% 29′540
SCENARIO 2 59.70% 26′680
SCENARIO 3 16.40% 7′330
SCENARIO 4 12.40% 5′540
Supply
SCENARIOS
Metro usersa
[users/peak hour]
Probability to actas a crowdshippers Potential crowdshippers[crowdshippers/day]
SCENARIO 1 138′421 84.6% 46′840
SCENARIO 2 54.8% 30′340
SCENARIO 3 46.0% 25′470
SCENARIO 4 12.8% 7′090
  1. aUsers of the Rome’s metro lines during the peak hour (Roma Mobilità, [47])
  2. bInhabitants in the 800’meters catchment area (elaboration from census data ISTAT 2011, https://www.istat.it/it/archivio/104317)