This paper explores how advanced reservations, coupled with dynamic pricing (based on booking limits) can be used to maximize parking revenue. An integer programing formulation that maximizes parking revenue over a system of garages is presented. Furthermore, an intelligent parking reservation model is developed that uses an artificial neural network procedure for online reservation decision-making. Finally, the paper provides some strategic and managerial implications of multi-garage revenue management systems, and discusses techniques for identifying and implementing micro-market segmentation in the parking industry.
Revenue management in the parking industry: a multiple garage intelligent reservation model
Transportation Planning and Technology ; 41 , 3 ; 286-300
03.04.2018
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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