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http://onlinelibrary.wiley.com/doi/10.1002/mcda.485/fullInternational audienceThe present paper delineates a three-step algorithm for the analytic network process (ANP) structure design. When defining the decision goal and the alternative set, one can use the three-step algorithm proposed in this paper, first, to specify the decision criteria, and second, to outline the structure of the ANP problem. To ease the process of ANP structure design, we present two novel data structures: the multiple-effect tree and the multiple-criteria tree. The multiple-effect tree helps explore the apparent consequences of a given event or state--known in this paper as the decision alternatives--whereas the multiple-criteria tree is considered the missing link between the multiple-effect tree and the ANP structure. Employing the approach presented in this paper will help detect any mistakes in the ANP structure design. A numerical example is provided in the final section of the paper to better articulate the ideas

Thirty-three intelligent transportation system user services are analyzed for 38 criteria through a hybrid model of the disjunctive satisfying method (DSM), a noncompensatory multicriteria decision-making technique, and a compensatory analytic network process (ANP). The DSM reduces the problem size by excluding inappropriate user services; subsequently, the ANP establishes overall relative preferences for selected user services by considering various inner dependencies, interdependencies, and mutual effects among the elements. The electronic payment, travel demand management, and traffic control user services are proposed as the best alternatives for the problem in a developing country.

Travel time saving plays an important role in the socioeconomic studies of the profitability of transport projects. This paper presents some parts of the studies performed in collaboration with SETRA, a department of the French Ministry of Transport, on the economic evaluation of operating roads. The paper includes four main parts. The first includes a description of how travelers’ decisions are influenced by the variability of travel time. The statistical analysis of the recorded travel time on a motorway in île-de-France, France, is developed to quantify the variability of travel time and to measure its magnitude. The second section is devoted to developing the methodological framework to capture the safety margin considered by travelers in their trip-making behaviors. A model is formulated to reflect the behavior of the traveler before making a trip. This model highlights the effect of each travel component, the mean of the travel time, the level of variability, and the safety margin chosen by the traveler before traveling. The third section extracts the optimal safety margin that minimizes the cost of the total time allocated to travel. The last section of the paper is devoted to some algebraic manipulation to characterize the features of the output if the variability of travel time in the economic evaluation of transport projects is incorporated. An expression is also given for the gain that operators bring when they reduce the variability of travel time or reduce the uncertainty that travelers feel by providing them with information.