Optimization of a feeder-bus route design by using a multiobjective programming approach
Journal
Transportation Planning and Technology
Journal Volume
37
Journal Issue
5
Pages
430-449
Date Issued
2014
Author(s)
Wong, H.-I.
Abstract
This paper presents a feeder-bus route design model, capable of minimizing route length, minimizing maximum route travel time of planned routes, and maximizing service coverage for trip generation. The proposed model considers constraints of route connectivity, subtour prevention, travel time upper bound of a route, relationships between route layout and service coverage, and value ranges of decision variables. Parameter uncertainties are dealt with using fuzzy numbers, and the model is developed as a multiobjective programming problem. A case study of a metro station in Taichung City, Taiwan is then conducted. Next, the programming problem in the case study is solved, based on the technique for order preference by similarity to ideal solution approach to obtain the compromise route design. Results of the case study confirm that the routes of the proposed model perform better than existing routes in terms of network length and service coverage. Additionally, increasing the number of feeder-bus routes decreases maximum route travel time, increases service coverage, and increases network length. To our knowledge, the proposed model is the first bus route design model in the literature to consider simultaneously various stakeholder needs and support for bus route planners in developing alternatives for further evaluation efficiently and systematically. © 2014 Taylor & Francis.
Subjects
feeder-bus route design; link covering problem; mathematical programming; optimization; Taiwan; TOPSIS
SDGs
Other Subjects
Computer programming; Feeding; Fuzzy sets; Mathematical programming; Optimization; Research; Subway stations; Travel time; Covering problems; Multi-objective programming problem; Multiobjective programming; Parameter uncertainty; Route design; Taiwan; Technique for order preference by similarity to ideal solutions; TOPSIS; Bus transportation; bus transport; design; fuzzy mathematics; modeling; multiobjective programming; network analysis; optimization; routing; stakeholder; transportation planning; travel time; Taichung; Taiwan
Type
journal article