Development Of A LRT Simulator For
Demand Forecasting
Author(s)
N. Kudo & T. Mizuma
Abstract
We developed the LRT introduction effect simulator. The increase in the number
of heat-trapping gases such as carbon dioxide is a global problem. Decreasing
this number is essential. The thought is that a modal shift from the car to public
transportation is effective in the traffic field. However, when public
transportation is introduced, a quantitative effect is needed in Japan. We have
developed a simulator, whereby the selection of car, railway or bus, which has
not been included in past simulators, is used to calculate the running energy of
transportation. The simulator then reports the selection of the individual’s means,
with the model being built using the Analytic Hierarchy Process.
Keywords: simulation, LRT, demand forecast.
1 Introduction
As a global problem, the amount of greenhouse effect gases such as carbon
dioxide is increasing. The task of pressing urgency is to reduce greenhouse effect
gases. Each industrial field is trying to reduce greenhouse effect gases. It is
supposed that a modal shift from automobiles to public transportation would be
effective in the traffic field.
Meanwhile, presentation of quantitative effect is often required when
introducing public transportation in Japan. For that purpose, we have developed
a simulator, however, we have not considered the human mentality. Therefore,
we incorporated selection by people, making the means model in the simulator
by using AHP (Analytic Hierarchy Process).
Keywords
simulation, LRT, demand forecast.
Related Book
Other papers in this volume
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