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Seat capacity setting greatly affects vehicle capacity. Increasing the number of seats allows more passengers to benefit from comfortable travel conditions but reduces the available space for standing passengers and the total capacity of the vehicle. By reducing the number of seats, the operator increases the capacity of the vehicle but most passengers do not find an available seat. Without changing the size of the bus, the operator chooses the desirable seat capacity when purchasing the bus, which can maximize vehicle capacity and allow passengers to have more opportunities to get a seat. Considering capacity constraints, this paper establishes multiple origins and a single destination equilibrium model to study the travel behaviors during peak-period. A bi-level programming model is considered to meet the equilibrium cost. The result shows that we succeed in finding an optimal seat capacity to make the total travel cost be lowest.

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