Optimal Coordination Strategy for an Integrated Multimodal Transit Feeder Network Design Considering Multiple Objectives

Mohammad Hadi Almasi, Ali Sadollah, Yoonseok Oh, Dong-Kyu Kim and Seungmo Kang
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Mohammad Hadi Almasi: Department of Civil Engineering, Gorgan Branch, Islamic Azad University, Gorgan 49147-39975, Iran
Ali Sadollah: Young Researchers and Elites club, Science and Research Branch, Islamic Azad University, Tehran 1193653471, Iran
Yoonseok Oh: School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 136-713, Korea
Dong-Kyu Kim: Department of Civil and Environmental Engineering, Seoul National University, Seoul 151-744, Korea
Seungmo Kang: School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 136-713, Korea

Sustainability, 2018, vol. 10, issue 3, 1-28

Abstract: Public transportation can have an efficient role ingainingtraveler satisfaction while decreasing operation costs through establishing an integrated public transit system. The main objective of this research is to propose an integrated multimodal transit model to design the best combination of both railway and feeder bus mode transit systems, while minimizing total cost. In this paper, we have proposed a strategy for designing transit networks that provide multimodal services at each stop, and for consecutively assigning optimum demand to the different feeder modes. Optimum transit networks have been achieved using single and multi-objective approaches via metaheuristic optimization algorithms, such as simulated annealing, genetic algorithms, and the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The used input data and study area were based on the real transit network of Petaling Jaya, located in Kuala Lumpur, Malaysia. Numerical results of the presented model, containing the statistical results, the optimum demand ratio, optimal solution, convergence rate, and comparisons among best solutions have been discussed in detail.

Keywords: integrated transit; multimodal feeder; network design; metaheuristics; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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