Cullis And Jones Public Finance And Public Choice Pdf ((LINK))

Cullis And Jones Public Finance And Public Choice Pdf ((LINK))

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Cullis And Jones Public Finance And Public Choice Pdf

The purpose of this paper is to investigate the consequences of long term parking policies, and to bring together the benefits of both the fixed and the variable pricing methodologies. The first class of approach aims to reduce supply levels through price increases (variable pricing policy). The second class of approach aims to increase levels of utilisation by reducing parking rates (fixed pricing policy). However, it has been demonstrated that the static parking pricing policies (variable pricing policy) tend to have a greater effect of increasing the supply levels than the dynamic (fixed price) policies. In this experiment, we are interested in the static method (variable pricing policy).

In infrastructure design, and in particular the provision of parking lots, a critical issue is to determine whether increasing the public supply of cars may negatively affect the supply prices for other users of the infrastructure. A given public infrastructure in its simplest form is such that it can only handle a limited supply of users before the infrastructure begins to fail and stop functioning. In the case of parking lots, for example, if an area has reached a saturation point, then the parking space can no longer be filled and cars will have to park elsewhere if they are to find a parking space.

In this experiment the main object of investigation is the application of dynamic pricing policies to the provision of a public parking lot, to determine whether these policies have a significant effect on the pricing for cars coming in.

Notations: In this model, we assume that a car parking lot operates in discrete, non-overlapping time periods of duration given by t. Each car entering the parking lot at time t ceases to earn utility when the car leaves the lot without parking, and the time t is counted and the period durations t are multiplicatively incremented (t+1 = t+d). The values of t are set in advance and may be random. In the dynamic pricing model, an additional disutility of $lpha$ is added to the cost of parking at t, for each period exceeded.

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