DocumentCode :
725762
Title :
DSS development on toll expressway financial risk monitoring
Author :
Chu Chunchao
Author_Institution :
Traffic Dev. Res. Center, China Acad. of Transp. Sci., Beijing, China
fYear :
2015
fDate :
20-22 May 2015
Firstpage :
129
Lastpage :
133
Abstract :
Toll expressway financial risk problem is being paid more and more attention nowadays, because which may induce local government debt risks. This paper focuses on the issues about toll expressway financial risk, and presents a set of monitoring, analyzing and management solution. At first, toll expressway financial risk indexes were designed, which considered not only the current but also the potential solvency about the payment ability of each toll expressway project. Secondly, four risk levels and alerting values were defined by means of those indexes estimation. Meanwhile, corresponding actions were suggested according to risk levels. Thirdly, the decision support system (DSS) was developed on toll expressway financial risk monitoring, and a case study was conducted as well. In the case study, the financial risk level of each project was easily identified by different colors, such as red standing for serious situation. The research achievements provide technical supports and decision-making references for monitoring financial risks of toll expressway projects.
Keywords :
decision making; decision support systems; financial management; local government; monitoring; risk analysis; road pricing (tolls); DSS development; decision making; decision support system; indexes estimation; local government debt risks; payment ability; toll expressway financial risk monitoring; Government; Indexes; Investment; Maintenance engineering; Monitoring; Roads; decision support system(DSS); financial risk; monitoring; toll expressway;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Robotics (ICCAR), 2015 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-7522-1
Type :
conf
DOI :
10.1109/ICCAR.2015.7166016
Filename :
7166016
Link To Document :
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