Carsharing: Dynamic decision-making problem for vehicle allocation

Transportation Research Record

Volumn , Issue 2063, 2008, Pages 97-104

  Fan, Wei ^a   Machemehl, Randy B ^b   Lownes, Nicholas E ^c  

^a UNIVERSITY OF TEXAS AT TYLER   (United States)

^b The University of Texas at Austin   (United States)

^c UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; FLEET OPERATIONS; MONTE CARLO METHODS; OPTIMIZATION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ALLOCATION PROBLEMS; CARSHARING; DECISION-MAKING PROBLEM; DYNAMIC DECISION MAKING; FLEET MANAGEMENT; PRIVATE VEHICLES; SHARED USE; VEHICLE ALLOCATION; VEHICLE FLEETS; VEHICLE USE;

VEHICLES;

EID: 58449134567     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2063-12     Document Type: Article

References (33)

1. Consumer Expenditures in 2005. U.S. Department of Labor. Feb. 2007. www.bls.gov/cex/csxann02.pdf. Accessed July 12, 2007.
2. Shaheen, S., and A. P. Cohen. Worldwide Carsharing Growth: An International Comparison. Presented, at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
3. Shaheen S. A., A. P. Cohen, and J. D. Roberts. Carsharing in North America: Market Growth, Current Developments, and Future Potential. In Transportation Research Record: Journal of the Transportation Research Board, No. 1986, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 116-124.
4. Shaheen, S., D. Sperling, and C. Wagner. Carsharing in Europe and North America: Past Present and Future. Transportation Quarterly, Vol. 52, No. 3, 1998, pp. 35-52.
5. Shaheen, S. Dynamics in Behavioral Adaptation to a Transportation Innovation: A Case Study of CarLink - A Smart Carsharing System. UCD-ITS-R.R-99-16. Institute of Transportation Studies, University of California, Davis, 1999.
6. Shaheen, S. A., A. Schwartz, and K, Wipyewski. Policy Considerations for Carsharing and Station Cars: Monitoring Growth, Trends, and Overall Impacts. In Transportation Research Record: Journal of the Transportation Research Board, No. 1887, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 128-136.
7. www.carshar.ing.net. Accessed July 12, 2007.
8. www.eartheasy.com/homepage.htm. Accessed July 12, 2007.
9. carsharingus.blogspot.com. Accessed July 12, 2007.
10. Barth, M., and M. Todd. Simulation Model Performance Analysis of a Multiple Station Shared Vehicle System. Transportation Research Part C: Emerging Technologies, Vol. 7, No. 4, 1999, pp. 237-259.
11. Kek, A. G. H., R. L. Cheu, and M. L. Chor. Relocation Simulation Model for Multiple-Station Shared-Use Vehicle Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 1986, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 81-88.
12. Dejax, P. J., and T. G. Crainic. A Review of Empty Flows and Fleet Management Models in Freight Transportation. Transportation Science, Vol. 21, 1987, pp. 227-247.
13. Jordan, W. C., and M. A. Turnquist. A Stochastic Dynamic Model for Railroad Car Distribution. Transportation Science, Vol. 17, 1983, pp. 123-145.
14. Powell, W. B. A Stochastic Model of the Dynamic Vehicle Allocation Problem. Transportation Science, Vol. 20, 1986, pp. 117-129.
15. Frantzeskakis, L. F., and W. B. Powell. A Successive Linear Approximation Procedure for Stochastic Dynamic Vehicle Allocation Problems. Transportation Science, Vol. 24, 1990, pp. 40-57.
16. Bookbinder, J. H., and S. P. Sethi. The Dynamic Transportation Problem: A Survey. Naval Research Logistic Quarterly, Vol. 27, 1980, pp. 447-452.
17. Cheung, R. K., and C.-Y. Chen. A Two-Stage Stochastic Network Model and Solution Methods for Dynamic Empty Container Allocation Problem. Transportation Science, Vol. 32, No. 2, 1998, pp. 142-162.
18. Cheung, R. K., and W. Powell. SHAPE: A Stochastic Hybrid Approximation Procedure for Two-Stage Stochastic Programs. Operations Research, Vol. 48, No. 1, 2000, pp. 73-79.
19. Fan, W., and R. B. Machemehl. A Multi-Stage Monte Carlo Sampling Based Stochastic Programming Model for the Dynamic Vehicle Allocation Problem. Journal of Advances in Transportation Studies, Vol. 12, 2007, pp. 27-44.
20. Dantzig, G. Linear Programming Under Uncertainty. Management Science, Vol. 1, 1955, pp. 197-206.
21. Dantzig, G., and P. Wolfe. Decomposition Principle for Linear Programs. Operations Research, Vol. 8, 1960, pp. 101-111.
22. Ziemba, W. Computational Algorithms for Convex Stochastic Programs with Simple Recourse. Operations Research, Vol. 18, 1970, pp. 414-431.
23. Wollmer, R. Two State Linear Programming Under Uncertainty with 0-1. Integer First Stage Variables. Mathematical Programming, Vol. 19, 1980, pp. 279-288.
24. Wets, R. Solving Stochastic Programs with Simple Recourse. Stochastics, Vol. 10, 1983, pp. 219-242.
25. Birge, J. Decomposition and Partitioning Techniques for Multistage Stochastic Linear Programs. Operations Research, Vol. 33, 1985, pp. 989-1007.
26. Birge, J. R., and F. Louveaux. Introduction to Stochastic Programming. Springer Series in Operations Research, New York, 1997.
27. Morton, D. P. Stochastic Optimization Class Notes. University of Texas, Austin, 2002.
28. Wallace, S. Solving Stochastic Programs with Network Recourse. Networks, Vol. 16, 1986, pp. 295-317.
29. Beale, E. M., G. B. Dantzig, and R. D. Watson. A First Order Approach to a Class of Multi-Time Period Stochastic Programming Problems. Mathematical Program Study, Vol. 27, 1986, pp. 103-177.
30. Zenios, S. A. Dynamic Models for Fixed-income Portfolio Management Under Uncertainty. Journal of Economic Dynamics and Control, Vol. 22, 1998, pp. 1517-1541.
31. Kouwenberg, R. Scenario Generation and Stochastic Programming Models for Asset Liability Management. European Journal of Operational Research, Vol. 134, 2001, pp. 279-292.
32. Hoyland, K., and S. W. Wallace. Generating Scenario Trees for Multistage Decision Problems. Management Science, Vol. 47, No. 2, 2001, pp. 295-307.
33. Fleten, S. E., K. Hoyland, and S. W. Wallace. The Performance of Stochastic Dynamic and Fixed Mix Portfolio Models. European Journal of Operational Research, Vol. 140, 2002, pp. 37-49.