01479076

Component

https://doi.org/10.3141/2352-14

http://scholar.google.com...njak&publication_year=2013

Accessibility of public transit is an important political and social objective for transit agencies across the world. To meet this objective, many transit agencies provide a specialized door-to-door transportation service, called "dial-a-ride" (DAR), for the elderly and disabled. Annual DAR ridership growth exceeding 5% is reported in many cities in the United States, and this trend is expected to continue because of the aging population. In response to increased ridership, DAR services have become the fastest growing fraction of many transit agency budgets. These trends motivate the development of models that support decision making in the planning of new DAR systems or expansion of existing systems. Several statistical models have been developed in the past decade that can be used to determine the necessary DAR system capacity. These models focus on peak period analyses and provide good fit when applied to simulated case studies. This study aimed to demonstrate the importance of considering the entire day of operations rather than only the peak period. Several factors were identified that have been omitted in the literature, and comprehensive statistical and meta-models were developed for determining DAR system capacity. The performance of two proposed models was assessed with real-world data from a DAR service. The proposed models are available to the general public through a web system that provides free decision support to practitioners involved in designing DAR systems.

01521591

13-4205

English

pp 120–127

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309294898

Print

Appendices (1) ; Figures (5) ; References (28) ; Tables (4)

Decision support systems; Mathematical models; Paratransit services; Ridership; Statistical analysis

System capacity

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 5 2013 12:49PM

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• Comparing Fixed-Route and Demand-Responsive Feeder Transit Systems in Real-World Settings
• Designing Bus Rapid Transit Facilities for Constrained Urban Arterials: Case Study of the Selection Process for the Webster Avenue Bus Rapid Transit Running Way Design in New York City
• Dynamic Holding Strategy to Prevent Buses from Bunching
• Impact of Concessionary Bus Travel on the Well-Being of Older and Disabled People
• Implementation Cost Comparison of Electric Vehicle Energy Replenishment Technologies for Public Transit Bus Systems
• Improving Rail Station Access with Feeder Bus Network Optimization and Mode Shifts
• Measuring Bus Stop Dwell Time and Time Lost Serving Stop with London iBus Automatic Vehicle Location Data
• Metropolitan Transit Agency’s Experience Operating General-Public Demand-Responsive Transit
• Model for the Optimal Location of Bus Stops and Its Application to a Public Transport Corridor in Santiago, Chile
• Modeling the Spatial Effects on Demand Estimation of Americans with Disabilities Act Paratransit Services
• Operations of a Taxi Fleet for Advance Reservations Using Electric Vehicles and Charging Stations
• Public Transport Time-Tabling Based on Maximum-Load Points Using Multisize Vehicles
• Road Safety Benefits from Bus Priority: An Empirical Study
• Simulation-Based Planning Framework for Choosing Where to Implement Bus Signal Priority in Mixed-Mode Operations
• Transit Assignment Model Incorporating Bus Dwell Time