Modeling the Multi-Criteria Highway Corridor Selection with Uncertainties Using the Stochastic Analytic Network Process

Abstract

The planning of highway alignment is a complex decision making that involves many objectives and stakeholders. Previous researches applied the Analytic Hierarchy Process (AHP) to prioritize the alternatives of highway alignments. Standard AHP model could not accommodate the variety of interactions, dependencies, and feedback.  The Analytic Network Process (ANP) is a successor of AHP which takes into accounts the dependencies and feedbacks. Recent study [1] applied ANP to the highway corridor selection problem. This study further investigated the approach which could handle the imprecise information in the decision making process. In this study, the Stochastic Analytic Network Process (SANP) is proposed to handle the multi-criteria highway corridor selection problem with uncertainties.