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

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