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Paper Information

Journal:   RESEARCH AND URBAN PLANNING   Spring 2019 , Volume 10 , Number 36 ; Page(s) 63 To 74.
 
Paper: 

Potential of Talented Passageways for Building Urban Bus Stations Using Multilayer Perceptron Neural Network (MLP) and Error Back-Propagation (Case Study: Kermanshah City)

 
 
Author(s):  BAGHERI M., MORADIPOUR SH., Argany M.*
 
* University of Tehran, Tehran, Iran
 
Abstract: 
Transportation has always been one of the most important factors affecting the structure of cities, and has become one of the main urbanization problems in the last century by expanding all kinds of motor vehicles and demographic changes. According to the volume of urban travel in Kermanshah, the design of bus stations as standard is one of the reasons considered for improving the proper operation of the bus in the stations, reducing the take-off time and the boarding of the users and the less negative effect of the system on the traffic. Other vehicles. The purpose of this research is to determine the most vulnerable zones with the most potential for the construction of the bus station and in the second step to determine the best roads for construction of the bus station among these areas. One of the important structures of the neural networks is the multilayer perceptron with the error-back propagation algorithm used for this research. Therefore, by identifying the effective criteria and using the multilayer perceptron neural network, 500 points were prepared as network points and 10 intermediate layers were determined. Then, by implementing a network, the susceptible zones for the construction of the station were obtained. In the next step, between the zones obtained, the passable stations for the construction of the station were determined. Finally, it was revealed that 65, 1933 meters of urban streets in Kermanshah, 65, 012 meters, are prone to the construction of the station. It was also observed that susceptible passages are located near demographic, downtown, cultural and commercial centers.
 
Keyword(s): Potential,Bus station,Kermanshah,Neural Network,MLP
 
References: 
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