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http://dx.doi.org/10.12652/Ksce.2013.33.5.1969

Estimation of Optimal Fare for Cloud Transportation System  

Ryu, Seong Beom (Pukyong National University)
Bae, Sang Hoon (Pukyong National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.33, no.5, 2013 , pp. 1969-1980 More about this Journal
Abstract
The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.
Keywords
Cloud transportation system; Optimal price; Price-sensitivity Measurement(PSM);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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