Research Article
Incentives for Ridesharing: A Case Study of Welfare and Traffic Congestion
| Notation | Interpretation |
| | Regression coefficient associated with the explanatory variable and in mode m | | Probability of choosing mode m, OD | q | Demand matrix | | Demand of OD | | Travellers of choosing mode m, OD | | Utility value of travellers of mode m, OD | | Regression variable associated with the explanatory variable and in mode m | y | Subsidy matrix | | Subsidy to OD | c | Capacity (available seats) of ridesharing vehicles | d | Ridesharing driver | p | Ridesharing passenger | r | Reserve options (e.g., train or bus) | s | Solo driver | M | Travel modes include d, p, r, and s | m | Mode m in M | W | OD matrix | w | OD pair in W | FC | Financial cost for holding a vehicle per day | | Energy cost for OD | | Travel cost of mode m, OD | BC | Basic cost of ridesharing passenger | | Distance of OD | | Travel time of mode m, OD | rTT | Payment rate of travel time | rD | Payment rate of travel distance | rB | Fraction of ridesharing passenger payment for booking ride | CS | Consumer surplus | I | Total subsidy investment | T | Total transaction fees | SW | Social welfare of the transport system | | The upper bound of the subsidy per unit distance |
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