Pricing System Design For Airport Parking Project Case Study:Imam Khomeini International Airport

In recent years,the lack of space for parking cars and traffic congestion caused by large airports created hurdles for many.Because the disruption of this part of the airport leads to a failure in the operation of other parts of the airport and therefore reduces the level of service of the airport.Due to the lack of parking space,traffic can be find on the curbside,which causes other problems.Such as late arrivals to the flight or even loss of flight.Managers and planners of each airport should be aware of the types of parking that are currently used in other airports in the world to provide suitable parking spaces for the comfort of the passengers and meeter and greeter.Parking pricing is one of the most common management strategies,which influence on parking demand and manage high parking demand issues.Due to the importance of users’ opinions and the direct impact of this strategy on their choice of method,this research has suggested the preference state method for obtaining information to pay for the model.Moreover,the preferential treatment of passengers at Imam Khomeini International Airport has been use in response to these changes to long-time(open-roof)parking.The data were collect through interviews with 377 questionnaires with different price scenarios,each containing 7 choices.After modeling with the software and making binary logit,nested and multiple models,the binary and multiple logite models are finally analyzed to get the results.The nested logite model should be less than 1 in proportion to the value ofⅣ parameter.For more accurate modeling,depending on the model conditions,IV from one of the nests must be set to 1.In this model,this operation was performed for the nest parking lot.After repeating this operation,no change was made in the output of the other nests.Therefore,it is not possible to confirm the assumption of nesting behavior of the options,and finally,due to passing the Ⅳ parameter test,the processed nesting model is not used and by destroying the nests,the multiple logit model can be used.The results of the multiple logit model show that if the price of parking is increase to 20,000 Tomans②the probability of choosing a parking lot will be reduce by 30%and against the use of a personal car(drove by friends and acquaintances)it increased by 12%,rental car by 16%,taxi by 22%and subway by 8%.