Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity

Su Jin Park, Seungmo Kang, Young Ji Byon, Seung Young Kho

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Existing research on the transit network design problem has tended to focus on minimizing the various costs for both transit operators and users. However, to implement an appropriate and effective transit network in urban environments, it is important not to overly simplify the intrinsically complex nature of real-life network designs. In particular, the minimization of variance in transit service levels typically employed in existing methods can be significantly improved by incorporating a transit equity component. This paper adopts a multiobjective approach that considers system efficiency, user inconvenience, and transit equity without the use of weights in order to design a more realistic and efficient transit network. In particular, the multiobjective Nondominated Sorting Genetic Algorithm-II and the neighborhood local search method are employed in a logit-based mode-choice model in order to incorporate the variable transit demand arising from the private vehicle traffic volume. A toy test network and a real-life network from the city of Goyang, Republic of Korea, are used to verify the effectiveness of the proposed model. The model finds a set of solutions that improve transit equity with minimal losses of other objectives when compared to existing approaches, which produce a significant variance in the level of service, mainly due to the spatially condensed and overlapping distribution of their transit networks. In addition, the relationship between the three objective functions and their resulting patterns in response to key influential factors are also analyzed to verify the robustness of the proposed method in response to changing future conditions.

Original languageEnglish
Article number5887985
JournalJournal of Advanced Transportation
Publication statusPublished - 2022

Bibliographical note

Funding Information:
This paper is a revision of the first author's doctoral dissertation for Seoul National University. This research wassupported by Jungseok Logistics Foundation grant and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2020R1A6A1A03045059) and Ministry of Science and ICT (2021R1A2C2004125).

Publisher Copyright:
© 2022 Su Jin Park et al.

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management


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