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Method for Estimating Patronage of Demand Responsive Transportation Systems

TLDR
In this article, the authors developed a method for estimating patronage of demand responsive transportation (DRT) systems, which requires as inputs a description of the intended service area, current work trip patterns, characteristics of the served population, and the major design choices, such as the vehicle fleet size, changes in fleet size over the day, types of vehicles being used (buses or taxis), and the fare level.
Abstract
This study has developed a method for estimating patronage of demand responsive transportation (DRT) systems. This procedure requires as inputs a description of the intended service area, current work trip patterns, characteristics of the served population, and the major design choices, such as the vehicle fleet size, changes in fleet size over the day, types of vehicles being used (buses or taxis), and the fare level. Using these data, the model predicts patronage and service levels for each user-specified interval during the day. The modern system has been developed as a software package which includes a set of disaggregate demand models, a set of analytic supply models, and an equilibration procedure. In addition, a simple sketch planning procedure has been developed which can be used for quick, preliminary analysis of DRT sites. /GMRL/

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Journal ArticleDOI

Performance models of flexibly routed transportation services

TL;DR: In this article, the authors present a review of models to predict the performance of flexibly routed transfortation services such as taxi and dial-a-ride, including simulation, deterministic queuing and stochastic processes.
Journal ArticleDOI

A model system for forecasting patronage on demand responsive transportation systems

TL;DR: In this article, the authors present a model system which provides DRT system designers with a behaviorally consistent and validated patronage forecasting procedure, which consists of three components: a work trip demand model, a non-work trip model, and a DRT service model.
Journal ArticleDOI

Analytical models for comparison of alternative service options for the transportation handicapped

TL;DR: A comparative analysis of a door-to-door demand responsive system and feeder/fixed-route service, two of the service options expected to represent acceptable alternatives to “key transit station accessibility” requirements, indicates the relative advantage of door- to-doordemand-responsive systems over the combination of a feeder and an existing fixed-route system.
Journal ArticleDOI

Equilibrium model based on a microfoundation for forecasting dial-a-ride ridership

TL;DR: The demand and capacity of a van dial-a-ride service for elderly and disabled passengers are analyzed together and the model is used to predict a trade-off between ridership and travel time and to present this trade-offs conveniently on a simple tabulation form.
Proceedings ArticleDOI

Fleet Size Metamodel for Dial-a-Ride Services with Time Constraints

Ying Luo, +1 more
TL;DR: In this article, a performance metamodel has been developed for many-to-many dial-a-ride service, in which flexible routes and schedules are provided and service quality is guaranteed by time constraints.