B. Cobeña, I. Contreras, L. I. Martínez Merino, A. M. Rodríguez Chía

This paper deals with an extension of the hub line location problem considering demand elasticity with respect to travel times. The proposed model aims to capture the impact the hub network topology has on demand. The objective is to maximize the total revenue generated by each unit of demand using the hub line. We propose mixed integer nonlinear formulations to model this problem. We study some properties of the nonlinear objective function associated with these formulations. Due to the inherent complexity involved in solving these nonlinear formulations with state-of-the-art solvers, we also present alternative mixed-integer linear programming formulations. Computational results compare the proposed formulations and the benefits of the presented model using benchmark instances commonly used in hub location. Moreover, an analysis of the city of Montreal is carried out to demonstrate the added value of incorporating demand elasticity for public transportation planning.

Keywords: Discrete location; hub lines; demand elasticity; gravity models

Scheduled

GT12.GELOCA1 Invited Session
November 10, 2023  9:30 AM
CC1: Audience


Other papers in the same session

Column Generation Algorithms for the Minimum Normalized Cuts problem

F. Temprano Garcia, D. Ponce López, J. Puerto Albandoz

The Storyboard Problem

G. González Domínguez, J. Puerto Albandoz, V. Blanco Izquierdo


Cookie policy

We use cookies in order to be able to identify and authenticate you on the website. They are necessary for the correct functioning of it, and therefore they can not be disabled. If you continue browsing the website, you are agreeing with their acceptance, as well as our Privacy Policy.

Additionally, we use Google Analytics in order to analyze the website traffic. They also use cookies and you can accept or refuse them with the buttons below.

You can read more details about our Cookie Policy and our Privacy Policy.