01623309

Component

https://doi.org/10.3141/2647-15

The general objective of this study was to develop a model for estimating ridership for rural demand–response transit services for the general public. A lack of data for demand–response service characteristics and geographic coverage has limited the estimation of such models. This study developed and estimated two models. The first was estimated with data from the 2013 rural National Transit Database, and the second was estimated with more detailed service data collected from surveys of transit agencies. Results showed that in addition to total population, demographic characteristics were important. Ridership was found to increase significantly when the percentage of the population composed of older adults or people without access to a vehicle increased. Both models showed a negative effect of fares on ridership. The second model analyzed the effects of service span and reservation requirements on ridership. Results showed that providing more days of service had an expected positive effect on ridership; allowing users to reserve rides on shorter notice also had a significant positive effect. Compared with previous research, the inclusion of a greater number of variables and more specific service information improved the performance of the models.

01624542

17-00985

English

pp 127–133

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442121

Digital/other

References (8) ; Tables (5)

Demand responsive transportation; Forecasting; Ridership; Rural transportation

Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Dec 8 2016 10:16AM

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• Calibration of the Platoon Dispersion Model by Considering the Impact of the Percentage of Buses at Signalized Intersections
• Comparing Chinese and Non-Chinese Bus Rapid Transit Systems: Evidence from Evaluating Global Systems on the Basis of Bus Rapid Transit Design Indicators
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• Designing Limited-Stop Transit Service with Fixed Fleet Size in Peak Hours by Exploiting Transit Data
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• Modeling Bus Service Time for a Curbside Stop
• Optimal Deployment of Dynamic Wireless Charging Facilities for an Electric Bus System
• Real-Time Bus-Holding Control Strategy to Reduce Passenger Waiting Time
• Real-Time Public Transport Operations: Library of Control Strategies
• San Pablo, California, Corridor Rapid Service: Planning and 10 Years of Operational Experience
• South Eastern Busway Network in Brisbane, Australia: Value of the Network Effect