Volume List  / Volume 7 (1)

Article

A PROFITABILITY COMPARISON BETWEEN A "ONE-WAY" CAR SHARING SERVICE AND A "MODIFIED ONE-WAY" CAR SHARING SERVICE

DOI: 10.7708/ijtte.2017.7(1).02


7 / 1 / 19 - 36 Pages

Author(s)

Massimo Fantola - Department of Civil Engineering, Environment and Architecture, University of Cagliari, Italy -

Alessandro Olivo - Department of Civil Engineering, Environment and Architecture, University of Cagliari, Italy -

Roberto Devoto - Department of Civil Engineering, Environment and Architecture, University of Cagliari, Italy -

Nuria Dìaz-Maroto Llorente - Department of Mathematics and Computer Science, University of Cagliari, Italy -


Abstract

The research looks at comparing the different performance offered by two types of one-way car sharing services. In particular, we compare the “traditional” service in which users can return vehicles to a pre-determined permitted parking space to the “modified” service in which the decision of where to return the vehicle to is made at the end of its usage and vehicles can be returned also outside the permitted parking areas. The comparison is based on common and given demand/offer assumptions. The mathematical modelling uses state of the art algorithms that allow us to determine for both types of service the optimal number of personnel to re-position the vehicles in order to maximise profit. In particular, the attractiveness of the two services herewith compared, has been analysed both in terms of overall profitability as well as in terms of maximum number of users. The results show and quantify how the “modified” service, whilst allowing a greater degree of flexibility to users in terms of return locations, causes lower economic returns for the service company and lowers the number of users that can be served. Finally, the model allows us to calculate the required tariff increase necessary to transform a “traditional” service into a “modified” service assuming an inelastic demand curve as well as constant profits for the service company.


Download Article

Number of downloads: 128


References:

Barth, M.; Todd, M. 1999. Simulation model performance analysis of a multiple station shared vehicle system, Transportation Research part C: Emerging Technologies 7(4): 237-259.

 

Barth, M.; Todd, M.; Xue, L. 2004. User-based vehicle relocation techniques for multiplestation shared-used vehicle systems, Transportation Research Board 80th Annual Meeting (04-4161), 1–16.

 

Cepolina, E.M.; Farina, A. 2012. A new shared vehicle system for urban areas, Transportation Research part C: Emerging Technologies 21(1): 230–24.

 

Ciari, F.; Bock, B.; Balmer, M. 2014. Modeling station-based and free-floating carsharing demand: test case study for Berlin, Transportation Research Record 2416: 37–47.

 

Clemente, M.; Fanti, M.; Mangini, A.; Ukovich, W. 2013. The vehicle relocation problem in car sharing systems: Modeling and simulation in a petri net framework. In Proceedings of International Conference on Applications and Theory of Petri Nets and Concurrency, Springer Berlin Heidelberg, 250–269.

 

Correia, G.H.D.A.; Jorge, D.R.; Antunes, D.M. 2013. The added-value of accounting for users’ flexibility and information on the potential of a station-based one-way carsharing system: An application in Lisbon, Portugal, Journal of Intelligent Transportation Systems 18(3): 299-308. DOI 10.1080/15472450.2013.836928.

 

de Almeida Correia, G.H.; Antunes, A.P. 2012. Optimization approach to depot location and trip selection in one-way carsharing systems, Transportation Research part E: Logistics and Transportation Review 48(1): 233–247.

 

Febbraro, A.; Sacco, N.; Saeednia, M. 2012. One-way carsharing solving the relocation problem, Transportation Research Record: Journal of the Transportation Research Board 2319: 113–120.

 

Fan, W.; Machemehl, R.; Lownes, N. 2008. Carsharing dynamic decision-making problem for vehicle allocation, Transportation Research Record: Journal of the Transportation Research Board 2063: 97–104.

 

Jorge, D.; Correia, G. 2013. Carsharing systems demand estimation and defined operations: a literature review, European Journal of Transport and Infrastructure Research 13(3): 201–220.

 

Jorge, D.; Correia, G.; Barnhart, C. 2012. Testing the validity of the MIP approach for locating carsharing stations in one-way systems, Procedia - Social and Behavioral Sciences 54(2012): 138–148.

 

Kek, A.; Cheu, R.; Chor, M. 2006. Relocation simulation model for multiple-station shared-use vehicle systems, Transportation Research Record: Journal of the Transportation Research Board 1986: 81–88.

 

Nair, R.; Miller-Hooks, E. 2011. Fleet management for vehicle sharing operations, Transportation Science 45(4): 524–540.

 

Nourinejad, M.; Roorda, M. 2014. A dynamic carsharing decision support system, Transportation Research part E: logistics and transportation review 66: 36–50.

 

Shaheen, S.; Cohen, A. 2007. Growth in worldwide carsharing an international comparison, Transportation Research Record: Journal of the Transportation Research Board 1992: 81–89.

 

Uesugi, K.; Mukai, N.; Watanabe, T. 2007. Optimization of vehicle assignment for car sharing system. In Proceedings of International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Springer Berlin Heidelberg, 1105–1111.

 

Weikl, S.; Bogenberger, K. 2013. Relocation strategies and algorithms for free-floating car sharing systems, IEEE Intelligent transportation systems magazine 5(4): 100–111.

 

Pelksmans, L.; Debal, P. 2006. Comparison of on-road emissions with emissions measured on chassis dynamometer test cycles, Transportation Research Part D: Transport and Environment 11(4): 233-241.


Quoted IJTTE Works



Related Keywords