Traffic congestion is one of the major problems facing Yangon and is attributed to many factors including rapid population increase, poor road infrastructure, city structure, the rapid increase in the number of cars, and a lack of physical car parking plan. For this congestion problem, people can be lost their valuable time and cost. To avoid traffic congestion problems, the best choice of the urban transport system with multiple criteria such as Car Capacity (CC), Required Time (Time), Car Parking Place (PP), Required Cost (Cost), and Travelling Cost (Cost) are introduced in the proposed approach. Before applying the multicriteria analysis method, this paper analyzes the traffic congestion problem by using the Functional Resonance Analysis Method (FRAM). In this analysis, data collected from the Yangon Traffic Control Center (TCC) and show the traffic congestion status using Queuing Model. Based on the traffic congestion status, AHP is applied by identifying suitable alternative solutions of the urban transport system such as rail transport system, public bus system, taxi system, and private car system for the dedicated urban area in Yangon. As a result, the government can consider the urban transport system to avoid traffic congestion problem.
Multi-Criteria Decision Analysis in Urban Transport System by applying Function Resonance Analysis Method
2020-11-04
3744427 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2005
|Multi-criteria analysis of transport infrastructure projects
Elsevier | 2020
|Applying Multi Criteria Analysis in Evaluation of Distribution Channels
Springer Verlag | 2021
|Multi-Criteria Decision Analysis: Beijing South Railway Station
Tema Archive | 2012
|Decision of the water shortage mitigation policy using Multi-Criteria Decision Analysis
Online Contents | 2012
|