نشریه فناوری حمل و نقل
پیاپی 18 (بهار و تابستان 1391)

The role of air transportation in development and its impact on the economy of the country has made transportation demand forecasting interesting to planners in the past decades. In this research, the application of discrete choice models in forecasting air trips is considered and a binary logit model for the case study of Imam Khomeini airport is calibrated using maximum likelihood method taking into account the economic and social characteristics of passengers. Result of the model calibrated based on the data gathered from 1280 air passengers at Tehran Imam Khomeini airport, show that effective socio-economic factors in air trip generation, has a decreasing order: 1- income greater than 2.5 million Tomans, 2- trip purpose, 3- income from 1.5 to 2.5 million Tomans, 4- income from 1 to 1.5 million tomans, 5- age, 6- male education level and 7- car ownership.

In this paper، the necessity of using the network-level pavement management in the roads across the country has been accomplished besides the Markov probabilistic model studying to predict the pavement. The qualitative and quantitative criterion to evaluate the pavement is PCI. A network of 1،000 kilometers was studied، and future status was predicted by the Markov probabilistic model. The best matrices of transition probabilities were obtained by Gaussian Elimination method and solving the equation of Ax=B and applying Markov model assumptions. The error may range between 4. 8-39. 3% (on average 25%) and the graph of outgoing data was shown with suitable approximation and coefficient correlation of R2=0. 86. The Markov method for determination of transition probability matrix was explained in this paper with the help of programming in the MATLAB environment، comprehensively and step by step.

The performance of Customer Relationship Management system at RAJA Company، as the main passenger train operator is a pattern for other rail passenger companies in Iran. Due to change in ownership of this company from public to private sector، modification needs in its customer relationship process، however there is still a gap between the performance of RAJA and similar international passenger rail companies from the viewpoints of customers. In this paper، first، the concepts of System Analysis، Customer Relationship Management (CRM) and Customer Satisfaction Measurement (CSM) are investigated and the necessity of Analysis of CRM system in RAJA’ company is examined. Then current situation of customer relationship in RAJA’ company is examined and by using numerous sources، the important factors for CSM is identified. Then، by developing questionnaire based on the selected factors، the current and similar recent periods in 2011 and 2012، customer satisfaction level is investigated and finally recommendations based on priority of corrective actions in customer relationship management system at RAJA Passenger Trains Company is proposed.