Analyzing the Effect of Passenger-Requested Unscheduled Stops on Demand
Downloads
Downloads
Kemp, M. A.: A Simultaneous Equations Analysis of
Route Demand and Supply, and its Application to the San
Diego Bus System, Washington, DC: UMTA, Report
DTUM-60-80-71001, 1981.
Horowitz, A. J,: Simplifications for Single-Route Transit
Ridership Forecasts Transportation 12, pp. 261-275,
Azar, K. T., and J, F. Ferreira: Integrating Geographic
Information Systems into Transit Ridership Forecast Models,
Journal of Advanced Transportation 29(3), pp.
-279, 1994.
Hartgen, D., and M. W. Horner: A Route-Level Transit
Ridership Forecasting Model for Lane Transit District,
Oregon. NC, Center for Interdisciplinary Transportation
Studies, Report No. 170, 1997.
Peng, Z.:A Simultaneous Route-Level Transit Patronage
Model: Demand, Supply, and Inter-Route Relationships.
Unpublished doctoral dissertation, Portland State University,
Portland, OR, 1994.
Kimpel, T. J.: Time Point-Level Analysis of Transit Service
Reliability and Passenger Demand. Portland, OR:
Unpublished Doctor of Philosophy in Urban Studies,
Portland State University, 2001.
Furth, P. G., B. Hemily, T. H. Mueller, and f. G. Strathman:
Uses of Archived A VL-APC Data to Improve Transit
Performance and Management: Review and Potential,
Washington DC: Transportation Research Board,
TRCP Report No. 23 (Project H-28),
h ttp://gulliver. trb.org/publications/tcrp/
tcrp webdoc 23. pdf, 2003.
Vaziri, M., Hutchinson, J., and M. Kermanshah: Short-
Term Demand for Specialized Transportation: Time-
-Series Model, Journal of Transportation Engineering
, pp. 6105-121, 1990.
Arrowhead Space & Telecommunications, Inc: Bus
Driver Fatigue and Stress Issues Study, Final Report No.
DTGH61-99-Z-00027, Washington DC.
http:!/ntl.bts.gov/lib/7000/7800/7883/busfatigue.pdf,
Peng, Z., and K. J, Dueker: Spatial Data Integration in
Route-Level Transit Demand Modeling, Journal of the
Urban and Regional Information Systems Association
, pp. 26-37, 1995.
Pendyala, R. M.: Integrated Transit Demand and Supply
Model User Manual. ITSUP Version 0.50, Public Transit
Office, Florida Department of Transportation, Tallahassee,
Zhao, F., L. Chow, M. Li, Gan, A., and L. D. Shen:
FSUTMS Mode Choice Modeling: Factors Affecting
Transit Use and Access, Report No. NCTR 392-07,
-03, National Center For Transit Research
(NCTR), University of South Florida, 2002.
Zhao, F: GIS Analysis of the Impact of Community
Design on Transit Accessibility, Proceedings of the
ASCE South Florida Section 1998 Annual Meeting,
Sanibel Island, FL., pp. 1-12, 1998.
Brinckerhoff, P.: Tour and Trip Mode Choice Models,
Draft Technical Report, Prepared for Sacramento
Area Council of Governments, Sacramento, California,
Sun, X., Wilmont, C. G., and T. Kasturi: Household
Travel, Household Characteristics, and Land Use: An
Empirical Study from the I994 Portland Travel Survey,
Transportation Research Record 1617, Transportation
Research Board, National Research Council, Washington,
D. C. , 1998.
Loutzenheiser, D. R.: Pedestrian Access to Transit: Model
of Walk Trips and Their Design and Urban Form
Determinants around Bay Area Rapid Transit Stations,
Transportation Research Record 1604, Transportation
Research Board, National Research Council, Washington,
D. C., pp. 40-49, 1997.
Dargay, J., and M. Hanly: The Demand for Local Bus
Service in England, Journal of Transport Economics
and Policy 36, pp. 73-91, 2002.
Preslar, D. A.: Transit Ridership Forecasting Using a
GIS, Proceedings of the ASCE Conference on Transportation,
Land Use, and Air Quality - Making the
Connection pp. 595- 605, 1998.
Zhao, F., L. Chow, M. Li, I. Ubaka, and A. Gan: Forecasting
Transit Walk Accessibility: Regression Model Alternative
to Buffer. Transportation Research Record
,pp.34-41,2003.
