Introducing of mass rapid transit system (BRT) by using aggregate and disaggregate models

Abstract

In some cities increasing a number of low capacity vehicles (car, para-transit & share-taxi) creates congestion, pollution and traffic accident, especially in developing countries. Therefore, engineers and planners keep looking for solutions to solve this problem. Recently, most of them recommend and propose sustainable urban public transport system in order to mitigate the mentioned concerns. Kabul city is one of those urban areas that the inhabitants are suffering from lack of sustainable and friendly public transport system. Kabul is the overcrowded city with the 5 million population. Para-transits and share-taxis with a very poor level of services and low capacity vehicles (6-20 passengers) are the only options for traveling. The aim of this study is to examine the introduction of Bus Rapid Transit (BRT) in Kabul city. The research covers two parts. In the first part, four-step method has been applied to assess the BRT network based on passenger demand. The result indicates that the route which is originated from Kabul airport and it is ended to the CBD has high demand. Thus, the route number 23 advised for the proposed BRT system. In the second part, the target is to determine the possibility of the BRT for attracting passengers from para-transits, share-taxis and private cars. Stated Preference (SP) survey proposed three scenarios of BRT system for existing para-transit, share-taxi and private car users. Multinomial Models (MNL) results indicate that socioeconomic characteristics (age, sex, occupation) and travel functions (travel time and travel cost) are the fundamental and productive parameters in respect of shifting passengers from existing modes to the proposed BRT system.