本文比較管制性的停車費與道路定價；首先，建立一個包含兩種運具選擇方案的模型，停車搜尋行為以整體性的方式處理，明確而言，搜尋車位的時間成本決定於該地區的整體需求與整體供給的比例，通勤旅次必須在市中心或衛星都市的邊緣停車。以臺北都會區的個案分析結果發現，若每一通勤旅次具相同起迄且有停車需求，則最適停車費很接近最適擁擠道路定價的效果。最後，進行模型中參數微量變動的敏感度分析。

A regulatory parking fee is compared with road pricing. A commuting trip demand model with two alternative modal choices is developed. The behavior of searching for a parking lot is treated by an aggregate approach. Specifically, the time cost of searching for a parking space depends on the ratio of aggregate demand and aggregate supply in an area. Parking either in the CBD or at the boundary of the satellite city is needed for commuting trips. For the case of the Taipei metropolitan area, it is found that the performance of optimal parking fee is close to the first-best optimum road pricing if the parking demand is unavoidable for every commuting trip with the same origin-destination pair. Some sensitivity analyses are conducted for a small change in each parameter in the model.