Generalized Cost of Public Transportation Usage in City of Addis Ababa
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Date
2017-10
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Addis Ababa University
Abstract
An effective transportation planning and policy making requires a good understanding of the association between mode choice and transportation users as well as non-users costs.Once an individual decides to make a trip to a particular location, travel time and cost are the primary factors influencing which mode and what route he or she will take. The traveler may also consider factors such as the perceived reliability, comfort, convenience, and safety of the transportation service. The type and quality of information about the service or route may also influence decisions. All of these factors refer to a set of generalized costs.
In this study the generalized cost of travel is express in multiple linear regression function with explanatory variables of in-vehicle travel time, walking time, waiting time, and passenger fare. Among the different modes of transportations which currently provide services along the East-West corridor of the Addis Ababa City, this research paper focus on the three mostly used mode of public transportation which is Anbesa City Bus, Minibus taxi and Addis Ababa Light Rail Transit (AALRT) to estimate the generalized cost of travel in monetary unit per trip for a route length of 8.3km from Ayat Square to Megenagna.
To achieve the intended objectives of the study, a reasonable volume of data were collected through questionnaires, travel surveys, anddocument reviews. Then, the analysis were done using SPSSVersion 20.0 software.The output of the analysis showsthat currently the generalized cost of travel per trip is very high and it is significantly affected by the explanatory variables of passenger fare and waiting time in the selected route. It is also indicated in this study that in comparison among the selected modes of public transportation,the generalized cost of travel per trip using Anbesa City Bus is very high whereas the AALRT has a minimum generalized cost of travel at different time of the day.
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Keywords
Mode choice, user and non-user costs, generalized cost of travel, explanatory variables, public transportation, multiple linear regression