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Table 5 Possible scenarios for supply and demand with respect to the actual crowdshipping platform conditions
From: Sustainable urban freight transport adopting public transport-based crowdshipping for B2C deliveries
Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 | |
|---|---|---|---|---|
Demand-side simulation | ||||
Shipping fees (with respect to current national shipping companies) | Lower | Typical | Lower | Typical |
Shipping times (with respect to current national shipping companies) | Typical | Typical | Typical | Typical |
Parcel tracking | Available | Available | Available | Available |
Delivery date and Time schedule flexibility | Yes | Yes | No | No |
Probability of adopting a crowdshipping service | 66.1% | 59.7% | 16.4% | 12.4% |
Supply-side simulation | ||||
Location of APL | Inside metro stations | Inside metro stations | Outside metro stations/adjacent buildings | Outside metro stations/adjacent buildings |
Remuneration | 3 €/delivery | 1 €/delivery | 3 €/delivery | 1 €/delivery |
Delivery booking | Off-line booking | Off-line booking | Off-line booking | Off-line booking |
Bank crediting modes | Single delivery | Single delivery | Single delivery | Single delivery |
Probability to act as a crowdshipper | 84.6% | 54.8% | 46.0% | 12.8% |