Title :
Estimation of reduction in CO2 emissions to shift commuters´ travel mode from private cars to public transportation
Author :
Li, Bing ; Tamura, Hiroyuki
Author_Institution :
Graduate Sch. of Eng. Sci., Osaka Univ., Japan
Abstract :
We develop a model for forecasting the amount of CO2 emission due to urban commute travel. The model consists of three sub-models: a sub-model for estimating the number of commuters, a fuzzy mode choice sub-model and a sub-model for estimating the amount of CO 2 emission. Using this model, we analyze and forecast the effect of policies to shift the commuters´ travel mode from private cars to public transportation for decreasing the amount of CO2 emission
Keywords :
air pollution control; behavioural sciences; forecasting theory; fuzzy set theory; road traffic; transportation; CO; air pollution control; choice sub-model; commuter travel mode; emission reduction; forecasting model; fuzzy set theory; private car; public transportation; Air pollution; Automobiles; Backpropagation algorithms; Logistics; Neural networks; Neurons; Predictive models; Road transportation; Traffic control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863406
