TY - JOUR
T1 - Multi-objective rapid transit network design with modal competition
T2 - The case of Concepción, Chile
AU - GUTIERREZ JARPA, GABRIEL EUGENIO
AU - Laporte, Gilbert
AU - Marianov, Vladimir
AU - Moccia, Luigi
PY - 2017/2/1
Y1 - 2017/2/1
N2 - We present a mixed integer linear program for the rapid transit network design problem with static modal competition. Previous discrete formulations cannot handle modal competition for realistic size instances because of the complexity of modeling alternatives for each flow in the network. We overcome this difficulty by exploiting a pre-assigned topological configuration. We discuss relevant goals of rapid transit planning, and we propose a multi-objective model conducive to a post-optimization analysis for effectiveness, efficiency, and equity concerns. A case study carried out for a metro proposal in Concepción, Chile, shows the suitability of the proposed method consisting of the mixed integer linear program coupled with the post-optimization analysis.
AB - We present a mixed integer linear program for the rapid transit network design problem with static modal competition. Previous discrete formulations cannot handle modal competition for realistic size instances because of the complexity of modeling alternatives for each flow in the network. We overcome this difficulty by exploiting a pre-assigned topological configuration. We discuss relevant goals of rapid transit planning, and we propose a multi-objective model conducive to a post-optimization analysis for effectiveness, efficiency, and equity concerns. A case study carried out for a metro proposal in Concepción, Chile, shows the suitability of the proposed method consisting of the mixed integer linear program coupled with the post-optimization analysis.
KW - Modal competition
KW - Multi-objective optimization
KW - Rapid transit network design
UR - http://www.scopus.com/inward/record.url?scp=84984850988&partnerID=8YFLogxK
U2 - 10.1016/j.cor.2016.08.009
DO - 10.1016/j.cor.2016.08.009
M3 - Article
AN - SCOPUS:84984850988
VL - 78
SP - 27
EP - 43
JO - Computers and Operations Research
JF - Computers and Operations Research
SN - 0305-0548
ER -