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Table 6 Estimation of potential demand for crowdshipping by public transport and potential crowdshippers in Rome (current state)

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

Demand
SCENARIOS
Metro usersa
[users/peak hour]
Inhabitantsb Probability to adopt crowdshipping service Potential demand [orders/day]
SCENARIO 1 113′347 647′154 66.10% 14′100
SCENARIO 2 59.70% 12′730
SCENARIO 3 16.40% 3′500
SCENARIO 4 12.40% 2′640
Supply
SCENARIOS
Metro usersa
[users/peak hour]
Probability to act as a crowdshippers Potential crowdshippers [crowdshippers/day]
SCENARIO 1 113′347 84.6% 38′350
SCENARIO 2 54.8% 24′840
SCENARIO 3 46.0% 20′850
SCENARIO 4 12.8% 5′800
  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)