Agent-Base Modeling of Refueling Vehicles based on Demand Management Approach and Comparing its Result with the Stated Preferences Method in Tehran

Document Type : Research Article

Authors

1 Department of Civil Engineering - Transportation Planning and Engineering, Faculty of Engineering and Technology, Imam Khomeini International University (IKIU). Postal Code: 34148 - 96818, Qazvin, Iran.

2 Assistant Professor of Department of Civil Engineering - Transportation Planning and Engineering, Faculty of Engineering and Technology, Imam Khomeini International University (IKIU). Postal Code: 34148 - 96818, Qazvin, Iran.

3 Associate Professor ofDepartment of Civil Engineering - Transportation Planning and Engineering, Faculty of Engineering and Technology, Imam Khomeini International University (IKIU). Postal Code: 34148 - 96818, Qazvin, Iran.

Abstract

The increasing demand for private cars and the unbalanced and dense growth of land-uses in the north of Tehran metropolis have caused fuel supply stations (gas stations) to always face the demand queue. On the other hand, the exorbitant price of land in these areas does not make the construction of a new location cost-effective. Demand management policies such as increasing the cost of using the facility are the possible solution to solve such problems. In this paper, the gas station users' data in the north of Tehran were collected using the stated preference method and analyzed using SPSS statistical analysis software to define the agent features and build agent-based modeling. The survey results were used to define the characteristics of factors and interactive rules in NetLogo simulation software. Then, the existence of a fast-passing line (with five different pricing scenarios) was simulated compared to the normal condition. The results showed that although the price increase scenarios (scenarios 4 and 5) are more welcome by relying on the statistically-based stated preference method, the agent-based simulation shows the popularity of cheap scenarios (scenarios 1 and 2) based on the interactive behavior of people are more valid. This indicates that the stated preference method's responses cannot be reassured in cases where interactive behaviors exist. Also, due to the imbalance of supply and demand due to the region's context, creating a tolled high-speed passing line is an effective solution to adjust the queue length and reduce waiting time.

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