Dynamic ride-sharing: A simulation study in metro Atlanta

Transportation Research Part B: Methodological

Volumn 45 `, Issue 9, 2011, Pages 1450-1464

  Agatz, Niels A H ^a   Erera, Alan L ^b   Savelsbergh, Martin W P ^c   Wang, Xing ^b  

^a ERASMUS UNIVERSITY   (Netherlands)

^b Georgia Institute of Technology   (United States)

^c CSIRO   (Australia)

Author keywords

Carpool; Dynamic optimization; On demand; Passenger transporation; Ride sharing

Indexed keywords

RESEARCH; TRANSPORTATION;

CARPOOL; DYNAMIC OPTIMIZATION; ON DEMANDS; PASSENGER TRANSPORATION; RIDE-SHARING;

TIME SHARING SYSTEMS;

ASSESSMENT METHOD; COMPUTER SIMULATION; DEMAND ANALYSIS; DYNAMIC ANALYSIS; OPTIMIZATION; PERFORMANCE ASSESSMENT; TECHNOLOGY ADOPTION; TRANSPORTATION PLANNING; TRAVEL DEMAND; URBAN TRANSPORT;

ATLANTA; GEORGIA; UNITED STATES;

EID: 83555179223     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2011.05.017     Document Type: Article

References (13)

1. Agatz, N., Erera, A., Savelsbergh, M., Wang, X., 2010. Sustainable passenger transportation: dynamic ride-sharing. Tech. rep., Rotterdam School of Management, Erasmus University.
2. American Automobile Association, 2009. Your driving costs: how much are you really paying to drive?
3. Bass F. A new product growth model for consumer durables. Management Science 1969, 15(5):215-227.
4. Buliung R., Soltys K., Habel C., Lanyon R. Driving factors behind successful carpool formation and use. Transportation Research Record 2009, 2118:31-38.
5. Edmonds J., Johnson E. Matching: a well-solved class of integer linear programs. Lecture Notes in Computer Science 2003, vol. 2570:27-30. Springer. M. Jünger, G. Reinelt, G. Rinaldi (Eds.).
6. Emmerink R.H.M., vanBeek P. Empirical analysis of work schedule flexibility: implications for road pricing and driver information systems. Urban Studies 1997, 34(2):217-234.
7. Ferguson E. The influence of employer ridesharing programs on employee mode choice. Transportation 1990, 17(2):179-207.
8. Jensen, P., 2005. Indicator: occupancy rates of passenger vehicles. Tech. rep., European Environmental Agency.
9. Kelley K. Casual carpooling enhanced. Journal of Public Transportation 2007, 10(4):119-130.
10. Li J., Embry P., Mattingly S.P., Sadabadi K.F., Rasmidatta I., Burris M.W. Who chooses to carpool and why? Examination of Texas carpoolers. Transportation Research Record 2007, 2021:110-117.
11. Mahajan V., Muller E., Bass F. Diffusion of new products: empirical generalizations and managerial uses. Marketing Science 1995, 14(3):G79-G88.
12. McGuckin, N., Srinivasan, N., 2003. Journey to work trends in the United States and its major metropolitan areas 1960-2000. Tech. rep., US Department of Transportation Federal Highway Administration.
13. Tsao, H., Lin, D.-J., 1999. Spatial and temporal factors in estimating the potential of ride-sharing for demand reduction. Tech. rep., Institute of Transportation Studies, University of California, Berkeley.