International Journal of Computational Intelligence Systems

Volume 7, Issue 3, June 2014, Pages 565 - 581

A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network

Authors
L.F. Escudero, S. Muñoz
Corresponding Author
L.F. Escudero
Received 19 December 2012, Accepted 3 September 2013, Available Online 1 June 2014.
DOI
https://doi.org/10.1080/18756891.2013.870753How to use a DOI?
Keywords
Station and Link Location, Transportation Systems, Survey, Degree of a Node, Optimization
Abstract
In this work we present the first stage of a two-stage approach for designing rapid transit networks, where the stations and links to be constructed are selected by solving an integer linear optimization model that maximizes an estimation of the number of trips through the rapid transit network. It is based on the first stage of another approach that we described elsewhere. Instead of considering a static origin-destination matrix, we propose a novel way of computing the expected number of trips by making use of the results from a survey amongst the potential users of the rapid transit network. We also report some computational experiments on several randomly generated instances. In the second stage of the approach, a set of lines is generated for the rapid transit network.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 3
Pages
565 - 581
Publication Date
2014/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.870753How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - L.F. Escudero
AU  - S. Muñoz
PY  - 2014
DA  - 2014/06
TI  - A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
JO  - International Journal of Computational Intelligence Systems
SP  - 565
EP  - 581
VL  - 7
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.870753
DO  - https://doi.org/10.1080/18756891.2013.870753
ID  - Escudero2014
ER  -