Demand Forecasting for Rural Transit
Summary. Rural transit demand forecasting helps allocate limited transportation resources to underserved populations. This study developed three forecasting models based on usage data from four Washington counties to predict ridership on public transportation systems. The disaggregated transit demand model proved most refined and flexible, offering a practical tool for predicting transit needs in underserved rural areas.
Cite this article
Painter, K. M., Jessup, E., Gossard, M. H., & Casavant, K.. (2007). Demand Forecasting for Rural Transit. Transportation Research Record Journal of the Transportation Research Board. https://doi.org/10.3141/1997-05
Painter, Kathleen M., et al. “Demand Forecasting for Rural Transit.” Transportation Research Record Journal of the Transportation Research Board, 2007. https://doi.org/10.3141/1997-05.
Painter, Kathleen M., Eric Jessup, Marcia Hill Gossard, and Ken Casavant. 2007. “Demand Forecasting for Rural Transit.” Transportation Research Record Journal of the Transportation Research Board. https://doi.org/10.3141/1997-05.
@article{painter-2007-demand-forecasting-rural-transit,
title = {Demand Forecasting for Rural Transit},
author = {Kathleen M. Painter and Eric Jessup and Marcia Hill Gossard and Ken Casavant},
journal = {Transportation Research Record Journal of the Transportation Research Board},
year = {2007},
doi = {10.3141/1997-05},
url = {https://doi.org/10.3141/1997-05}
}
TY - JOUR TI - Demand Forecasting for Rural Transit AU - Kathleen M. Painter AU - Eric Jessup AU - Marcia Hill Gossard AU - Ken Casavant JO - Transportation Research Record Journal of the Transportation Research Board PY - 2007 DO - 10.3141/1997-05 UR - https://doi.org/10.3141/1997-05 ER -
Details
- DOI
- 10.3141/1997-05
- Countries
- United States
- Regions
- North America
- Categories
- transportation, rural-data-and-definitions
- Added
- 2026-04-28