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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 | ||