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Transferability of Disaggregate Mode Choice Models

Transferability of Disaggregate Mode Choice Models PDF Author: Jerry Lee Korf
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 274

Book Description


Transferability of Disaggregate Mode Choice Models

Transferability of Disaggregate Mode Choice Models PDF Author: Jerry Lee Korf
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 274

Book Description


Transferability of Disaggregate Mode Choice Models

Transferability of Disaggregate Mode Choice Models PDF Author: Peter L. Watson
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 46

Book Description


Transferability and Applicability of Disaggregate Mode Choice Models to Areas with Low Level of Transit Ridership

Transferability and Applicability of Disaggregate Mode Choice Models to Areas with Low Level of Transit Ridership PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 17

Book Description
This paper describes transferability analyses of multimodal mode choice models to conduct travel demand forecasting for major metropolitan areas in the State of Oklahoma in USA. The transferred mode choice models were initially calibrated and validated to reflect travel characteristics of multimodal nature in the metropolitan area of Austin in Texas. themultimodal mode choice models used in patronage forecasting are of logit type comprising six modes for home-based work (HBW) trips and seven modes for home-based other (HBO) and non-home-based (NHB) trips. the mode choice model system calls for person trip tables to be partitioned by mode of access/egress to/from a transit line.

Transferability of Intercity Disaggregate Mode Choice Models in Canada

Transferability of Intercity Disaggregate Mode Choice Models in Canada PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 7

Book Description
In many transportation studies, the time span of data collection, model development, and analysis is often too long to be responsive to the needs of policy analysts and decision makers. This problem is often exacerbated in situations with severely constrained anlaysis resources. Therefore, it is often useful to transfer a model from one area to another. Model transfer is deifned as the application of a model developed in one area to describe the corresponding behavior in another area. This paper examines the transferability of a class of models used in intercity travel demand analysis. Specifically, deisaggregate mode choice models of the multinomial logit type are developed for two regions in Canada, and some established measures of tranferability are applied to assess the potential of calibrating these models in one region and applying them in the other. comparison of mode choice models estimated on data sets from the two regions yielded inconclusive results regarding model transferability. In general, transferred models were found to be 18-23% less accurate than local models in predicting modal shares. Adjusting models; parameters to reflect observed modal shares in the application context improved the predictive ability of the models by about 10%.

Transferability of Intercity Disaggregate Mode Choice Models

Transferability of Intercity Disaggregate Mode Choice Models PDF Author: Walid M. Abdelwahab
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 348

Book Description


Transferability and Updating of Disaggregate Travel Demand Models

Transferability and Updating of Disaggregate Travel Demand Models PDF Author: Terry J. Atherton
Publisher:
ISBN:
Category : Urban transportation
Languages : en
Pages : 58

Book Description


Aggregate Predictions from Disaggregate Models of Mode Choice

Aggregate Predictions from Disaggregate Models of Mode Choice PDF Author: P. L. Watson
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 20

Book Description


Comparative Analysis of the Transferability of Disaggregate Automobile Ownership and Mode Choice Models

Comparative Analysis of the Transferability of Disaggregate Automobile Ownership and Mode Choice Models PDF Author: Eric I. Pas
Publisher:
ISBN:
Category : Automobile ownership
Languages : en
Pages : 37

Book Description


Transfer Penalties in Urban Mode Choice Modeling

Transfer Penalties in Urban Mode Choice Modeling PDF Author:
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 60

Book Description


Transferability of Aggregate Intercity Total Demand Models

Transferability of Aggregate Intercity Total Demand Models PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 9

Book Description
Over the last 15 years, extensive research has been done on the transferability of travel demand models. However, much of this work has been concentrated towards investigating the transferability of disaggregate mode choice models. The transferability of an aggregate total demand model for intercity travel is examined. Model transfer is possible only when a number of preconditions for transferability are satisfied. One of the principal obstacles to the successful transfer of intercity demand models is the inability to overcome the contextual differences between calibration and application. Here, the components of the intercity total demand model are separated into exogenous and intrinsic (contextual) factors. The latter is therafter clarified as being either transferable or nontransferable. It is shown that transfereable attributes can accompany a model during transfer. Nontransferable attributes, on the other hand, will free the model of city or city-pair specific contextual characteristics which should not be transferred to other city pairs. The issues involved in transferring an aggregate model are also investigated. Aggregate data on interdistrict travel by public transportation in Sri Lanka have been used to successfully calibrate a total demand model with a number of transferable and nontransferable attributes that represent both temporal and spatial contextual factors. It is shown that the forecasting ability of this model is far superior to a counterpart model without intrinsic variables. (A0.