{"title":"Research on constructing urban green traffic system: the case of Shenzhen City","authors":"M. Liu, Yu Liu","doi":"10.1504/IJSOI.2016.080092","DOIUrl":null,"url":null,"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.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"8 1","pages":"150"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSOI.2016.080092","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Services Operations and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSOI.2016.080092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 1
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.
期刊介绍:
The advances in distributed computing and networks make it possible to link people, heterogeneous service providers and physically isolated services efficiently and cost-effectively. As the economic dynamics and the complexity of service operations continue to increase, it becomes a critical challenge to leverage information technology in achieving world-class quality and productivity in the production and delivery of physical goods and services. The IJSOI, a fully refereed journal, provides the primary forum for both academic and industry researchers and practitioners to propose and foster discussion on state-of-the-art research and development in the areas of service operations and the role of informatics towards improving their efficiency and competitiveness.