The Parameters Affecting the Mathematical Programming Model of the Appropriate Transportation System
الموضوعات :
Shahrzad Babaie
1
(Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Mohammad Seyedhosseini
2
(Department of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran)
Mohammadreza Motadel
3
(Department of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran)
الکلمات المفتاحية: Optimal Route, Traffic Reduction, Transportation, traffic,
ملخص المقالة :
Due to the importance of public transportation, which has become today an important urban problem with special conditions, this study was conducted aimed at determining the parameters affecting the mathematical programming model of the appropriate transportation system. The study was performed by modeling method, and the problem was solved in three different sizes (small, medium and large) to show the efficiency of the model and the proposed solution methods. Some common test problems in the literature were selected and the required characteristics of the problem under study were defined for them as needed, since there are no sample test problems in the literature to examine the performance of the developed algorithms. The results indicated that some of the most important parameters affecting the designed mathematical model were movement risks, fatigue and drowsiness while driving, demands at the source node, demands at the destination node, number of vehicles across the network, the time interval between requests, and the time interval between two consecutive requests. The mentioned parameters were so effective that little changes in parameters such as demands at the source node, demands at the destination node, and the number of vehicles across the network significantly increased time and decreased profitability. the company has a significant effect on the debt cost rate and capital cost rate and does not have a significant effect on stock prices. Finally, the share price shows little sensitivity to the company's financial structure.
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