The Investigation of the Forecast of Rail-Passenger Transport Ticket Reservation Demand

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Kazemi Asl, Ali | 2021

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 54498 (44)
University: Sharif University of Technology
Department: Management and Economics
Advisor(s): Karami, Naser
Abstract:
Demand estimation has always been one of the most important components of marketing in all industries. Because the profitability of any organization depends on the demand for the product or service that the organization offers to the market. On the other hand, in order to optimize the performance of the organization and better planning, we need to have an estimate of demand in order to avoid wasting the available facilities by optimally allocating resources. Another issue that shows the importance of demand estimation is the dependence of optimal pricing on the amount of demand, which can be said to be the most important tool of the organization to manage its revenue. Optimal pricing can be considered as a strategic advantage and can significantly increase the profitability of an organization. In this study, we first identify the factors affecting the demand of the rail-passenger transport industry and the impact of each of them to estimate the demand in this industry and by examining the models presented in this regard, we try to improve them. Finally, we present a model that can have a good forecast of demand
Keywords:
Optimal Price ; Demand Function ; Demand Forecasting ; Railway Transport ; Multiple Linear Regression Analysis ; Rail-Passenger Transport ; Optimal Pricing ; Optimal Seat Allocation

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