This study aims to calculate the financial and economic benefits of the
application of electric buses in an urban area in Egypt. This is done by estimating
the benefits and disbenefits of using this system in Benha, Egypt. In Egypt, there is
no clear method to determine the benefits and disbenefits of using electric buses.
Therefore, a logical way is used to determine the benefits and disbenefits of this
application and to set some policies. This is achieved through the application of the
sequential method (4-step model), which consists of four stages as follows: trip
generation, trip distribution, model split, and traffic assignment. The questionnaires
were designed to determine the factors that affect the choice of electric buses. The
data was analyzed and calibrated into a model which predicts the volume of demand
for electric buses, the importance of each variable was studied, and the advantages
and disadvantages of implementing the electric bus system in Egypt were studied.
The questionnaire provided three suggestions for using electric buses. The logistic
regression was used to find the best-proposed suggestion for using electric buses if it
was the first suggestion or to choose another suggestion according to the following
independent variables (travel time) and the following categorical variables (address,
gender, age, education, vehicle ownership, income, and trip purpose). The three
models were obtained and estimated to obtain the utility function of each suggestion.
From the analysis, the best suggestion is the first, as the total number of trips using
electric buses is larger than the other two suggestions. By comparing the air pollution
with and without electric buses, it is clear that the use of electric buses will reduce
air pollution by 69 %. The benefits of electric bus application in Benha, Egypt were
estimated by evaluating the money value of air pollution and the value of time. The
value of time was calculated by knowing the average travel time with and without
electric buses, the average salary from the questionnaire, and the total working hour.
Finally, the total reduction of the value of time was estimated and found to be 8.3
*10^5 LE. |
