Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Research on constructing urban green traffic system: the case of Shenzhen City

Research on constructing urban green traffic system: the case of Shenzhen City Traffic jam is a big problem, which influences people's normal travel, and causes environmental pollution. Green traffic can solve traffic problem effectively. By analysing the factors that affect traffic jams, the article builds cause-and-effect relation diagram and then builds stock-flow diagram. Then taking Shenzhen city as an example, make a simulation of the urban green traffic model system. The result shows that the number of private cars ownership and the increase of vehicle exhaust stock are important driving factors of traffic congestion and environmental pollution. By influencing the total of the private cars ownership, auto purchase limit policy, restrictions and congestion pricing policy control motor vehicle trips, reduce vehicle emissions, and balance automobile exhaust gas pollution problem. At the same time, adopt new energy vehicle subsidy policy to advocate the residents to buy new energy vehicles and improve public transport infrastructure to advocate people to take public traffic vehicle. Keywords: urban green transport; urban traffic congestion; system dynamics; policy; simulation. Reference to this paper should be made as follows: Liu, M-F. and Liu, Y-F. (2016) `: the case of Shenzhen city', Int. J. Services Operations and Informatics, Vol. 8, No. 2, pp.150­164. Biographical notes: Man-Feng Liu is a http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Research on constructing urban green traffic system: the case of Shenzhen City

Loading next page...
 
/lp/inderscience-publishers/research-on-constructing-urban-green-traffic-system-the-case-of-1YCi0IbJYL
Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2016.080092
Publisher site
See Article on Publisher Site

Abstract

Traffic jam is a big problem, which influences people's normal travel, and causes environmental pollution. Green traffic can solve traffic problem effectively. By analysing the factors that affect traffic jams, the article builds cause-and-effect relation diagram and then builds stock-flow diagram. Then taking Shenzhen city as an example, make a simulation of the urban green traffic model system. The result shows that the number of private cars ownership and the increase of vehicle exhaust stock are important driving factors of traffic congestion and environmental pollution. By influencing the total of the private cars ownership, auto purchase limit policy, restrictions and congestion pricing policy control motor vehicle trips, reduce vehicle emissions, and balance automobile exhaust gas pollution problem. At the same time, adopt new energy vehicle subsidy policy to advocate the residents to buy new energy vehicles and improve public transport infrastructure to advocate people to take public traffic vehicle. Keywords: urban green transport; urban traffic congestion; system dynamics; policy; simulation. Reference to this paper should be made as follows: Liu, M-F. and Liu, Y-F. (2016) `: the case of Shenzhen city', Int. J. Services Operations and Informatics, Vol. 8, No. 2, pp.150­164. Biographical notes: Man-Feng Liu is a

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2016

There are no references for this article.