Bi-Objective Mathematical Modeling for Location of Bicycle Sharing Stations Considering the Travel Frequency – A Case Study

Document Type : Scientific - Research

Authors

1 Professor, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2 Ph.D. Candidate, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran

Abstract

Due to increasing air pollution and global warming, urban managers and experts have focused on clean transportation, such as public transportation. In this regard, they have increasingly paid attention to bicycle as one element of the clean transportation systems, which tries to encourage people to use this system. For this reason and increasing the use of the bicycle sharing system, this study determines the location of bicycle stations and its capacity. Thus, mathematical modelling is first presented by dividing the city into different traffic areas and determining the location of bicycle stations. The main objectives are to find the minimum number of bicycle stations and their capacity as well as the maximum the distance between two bicycle stations in an area. Then, a multi-objective evolutionary algorithm, known as non-dominated sorting genetic algorithm (NSGA-II), is applied to solve the presented model. Finally, a case study in a metropolis is provided to show the performance of the proposed model in practice. Two solutions are obtained using NSGA-II. By comparing the solutions, it is concluded that the second solution which minimizes the first objective function and maximize the second objective function is a proper solution.

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References

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History

  • Receive Date: 22 June 2015
  • Revise Date: 05 February 2017
  • Accept Date: 06 February 2017

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