جستجوی مقالات مرتبط با کلیدواژه "analytic network process (anp)" در نشریات گروه "عمران"

Increasing traffic congestion in urban thoroughfares will have detrimental negative effects such as increasing air pollution, increasing fuel consumption and increasing road user dissatisfaction. General strategies for controlling traffic congestion can be divided into three parts, which are: creating a restricted traffic area, turning traffic plan, and traffic congestion pricing. In the present study, the mentioned strategies were prioritized using the combined Delphi method and Analytic Network Process (ANP). The metropolis of Mashhad was also selected as a case study in this study. Based on the results, the traffic congestion pricing strategy with a score of 0.484 was recognized as the best traffic congestion control strategy in metropolitan areas. The strategies of the turning traffic plan and the creation of a restricted traffic area also gained the second and third priorities, respectively, with a slight difference. The indicators of the travel cost, using of public transportation and single-occupancy car traffic were also recognized as the most important indicators affecting the evaluation and prioritization of traffic congestion control strategies, respectively.

A large portion of the budget of many countries in the world is spent on the transportation projects. Often these projects are capital-intensive in the all of transportation systems, and for this reason, any savings -even small saving- in these projects, could lead to considerable economic benefits. The value engineering is one of the powerful management and cost saving techniques that is capable of significant decreasing in construction cost and time, as well as increasing project performance and value.
In many cases, due to budget limitation, concurrent implementation of multiple projects in the transportation sector is not possible and it is essential that the approved projects prioritized and implemented based on specified criteria. The value engineering focuses on the criteria which could lead to the significant decreasing in the project implementation cost and time, and elimination of unnecessary activities. This research is based on railway transportation expert comments for developing eleven appropriate criteria using value engineering concept for evaluation and prioritizing five projects of the new rail lines construction by applying an ANP model. Based on the results, implementing the “bam-jiroft” project has the highest implementation priority and also the “implementation cost” criterion has the greatest weight compared to other used criteria. In addition based on the results of this study, a framework is proposed for review in the budget allocation management according to the weight of each project which it can be used to reform the current system of budget allocation. In the following, in order to analyze the results, the obtained results of the ANP are confirmed by using four other decision-making models. Also the sensitivity analysis results show that the proposed prioritization model has the highest sensitivity to the “reducing the number of road accidents” criterion and the lowest sensitivity to the “operating cost” criterion.

Transportation Infrastructure (TI) project selection is identification of alternative projects in order to maximize the net benefit to the organization and allocate limited resources among those alternatives. It is difficult to select the optimum set of proposed TI projects in an organization due to factors such as project risk, corporate goals and limited availability of TI resources for the candidate projects. TI project selection is based on Multi-Criteria Decision Making (MCDM) problems, as opposed to other project selection techniques, which have restricted applications as they generally depend on the assumption of independence among the candidate projects and criteria. In this paper, an improved TI project selection methodology is proposed that reflects interdependencies among evaluation criteria and projects, using an analytic network process (ANP) within a zero–one goal programming (ZOGP) model. To provide a systematic approach to set priorities among the multi-criteria and trade-off among the objectives, it is recommended that ANP is applied prior to GP formulation. Although GP incorporates multiple objectives and determines an optimal solution, its major drawback is that the decision maker(s) must specify goals and priorities a priori. To overcome this, group discussion is needed, and this research has proposed an integrated approach for interdependent TI project selection problems using Fuzzy Delphi, the Analytic Network Process concept and Zero-One Goal Programming. In project selection it is important to consider interdependencies among projects or criteria, to reflect the characteristics of real problems. Developing a methodology for considering interdependent factors is complex, so this paper presents a solution method through a real-world TI empirical example on an ongoing decision-making project in Taichung City, Taiwan using ANP/ZOGP. In this way, problems with multiple criteria, interdependence and resource feasibility are solved.