Dejan Paliska
Jurij Kolenc
This paper discusses the effect of unscheduled stops requestedby passengers on bus transit demand and presents theresults of its study. In the research a set of regression modelsthat estimate the route-level demand were developed using datacollected with Automatic Passenger Counters and AutomaticVehicle Location systems installed on buses, and demographic,socio-economic and land use information from other sources.The results obtained indicate that the number of rider-requestedunscheduled stops have no significant effect on demand,suggesting that the company policy which tolerates unscheduledstops is inadequate for attracting new riders.
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Unpublished doctoral dissertation, Portland State University,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<
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal