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Title:

Integration of National Long-Distance Passenger Travel Demand Model with Tennessee Statewide Model and Calibration to Big Data

Accession Number:

01626181

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

The Tennessee Department of Transportation replaced the quick-response-based long-distance component in its statewide model by integrating the new national long-distance passenger travel demand model in a new statewide model and calibrating it to long-distance trips observed in cell phone origin–destination data. The national long-distance model is a tour-based simulation model developed from FHWA research on long-distance travel behavior and patterns. The tool allows the evaluation of many policy scenarios, including fare or service changes for various modes, such as commercial air, intercity bus, Amtrak rail, and highway travel. The availability of this tool presents an opportunity for state departments of transportation in developing statewide models. Commercial big data from cell phones for long-distance trips also presents an opportunity and a new data source for long-distance travel patterns, which previously have been the subject of limited data collection, in the form of surveys. This project is the first to seize on both of these opportunities by integrating the national long-distance model with the new Tennessee statewide model and by processing big data for use as a calibration target for long-distance travel in a statewide model. The paper demonstrates the feasibility of integrating the national model with statewide models, the ability of the national model to be calibrated to new data sources, the ability to combine multiple big data sources, and the value of big data on long-distance travel, as well as important lessons on its expansion.

Monograph Title:

Planning Applications

Monograph Accession #:

01634576

Report/Paper Numbers:

17-00513

Language:

English

Authors:

Bernardin Jr, Vincent L
Ferdous, Nazneen
Sadrsadat, Hadi
Trevino, Steven
Chen, Chin-Cheng

Pagination:

pp 75–81

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2653
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441599

Media Type:

Digital/other

Features:

Figures (2) ; References (22) ; Tables (3)

Geographic Terms:

Subject Areas:

Data and Information Technology; Passenger Transportation; Planning and Forecasting

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:06AM

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