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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 | ||