信息不完全时公共停车场停车费和规模优化

为了对信息不完全情况下公共停车场的费率和规模进行规划, 建立了规制经营和竞争经营2种管理模式下的停车费和规模优化模型。运用二维逆向选择和动态博弈方法得出了公共停车场最优停车费和规模的制定准则, 分析了各因素对最优停车费和规模的影响。通过对2种模式下公共停车场的经营状况和社会福利的比较得知: 经营模式对停车费的影响不定; 竞争经营模式下停车场的规模较规制经营模式下大94.21%;私人停车管理公司的利润较规制经营模式下高67.13%;停车服务需求较规制经营模式下大36.70%, 社会福利较规制经营模式下高41.34%, 可以看出竞争经营模式对公共停车场的经营管理和社会福利较为有利。

Parking fee and scale optimization of public parking lot with incomplete information

In order to make planning for the parking fee and scale of public parking lot in the situation of incomplete information, the parking fee and scale optimization models under regulation operation mode and competition operation mode were established. The criteria of optimal parking fee and scale were got, and the affections of different factors on parking fee and scale were analyzed by means of bi-dimensional adverse selection and dynamic game approach. Through the comparison of public parking lot operations and social welfares with two modes, it is known that the effects of different modes on parking fee are uncertain. Compared with regulation operation mode, the optimal scale is 94.21% larger, the private parking company's profit is 67.13% higher, the parking demand is 36.70% larger, and the social welfare is 41.34% higher under competition operation mode. So competition operation mode can benefit the operation of public parking lot and social welfare.