DocumentCode :
3374068
Title :
Large-scale traffic simualtion for Low-Carbon City
Author :
Mizuta, Hiroshi ; Yamagata, Yoshiki ; Seya, Hajime
Author_Institution :
IBM Res. - Tokyo, Yamato, Japan
fYear :
2012
fDate :
9-12 Dec. 2012
Firstpage :
1
Lastpage :
12
Abstract :
This paper considers environmental city design using land use scenarios and large-scale traffic simulation. Low Carbon City (LCC) can be achieved by combining appropriate land use and transportation. We simulate the possible low carbon city by combining spatially explicit land use equilibrium (LUE) model and agent-based traffic model. First, land use scenarios of a city with different urban forms (compact and dispersed etc.) are created using the LUE model. Then the corresponding transportation is projected under each urban form with a large-scale traffic simulator for a case study city (Yokohama) in Japan. We also simulate the current traffic using the detailed person-trip data. Finally, we analyze the relationship between the urban form and the resulting CO2 emission both from land use and transportation are estimated. The proposed method can be a useful tool for urban planners to test some land use and transportation policies for designing sustainable cities.
Keywords :
air pollution; design for environment; land use planning; road traffic; transportation; CO2; Japan; Yokohama city; agent-based traffic model; environmental city design; land use equilibrium model; land use scenarios; large-scale traffic simualtion; large-scale traffic simulation; large-scale traffic simulator; low-carbon city; person-trip data; sustainable city design; transportation policies; urban planners; Carbon; Carbon dioxide; Cities and towns; Computational modeling; Sociology; Statistics; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2012 Winter
Conference_Location :
Berlin
ISSN :
0891-7736
Print_ISBN :
978-1-4673-4779-2
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2012.6465075
Filename :
6465075
Link To Document :
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