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Cited by 68Transportation Planning and OptimizationAviation Industry Analysis and TrendsEconomic and Environmental Valuation

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Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States

Ashiabor, Senanu, Baik, Hojong, Trani, Antonio·2007·Transportation Research Record: Journal of the Transportation Research Board

Abstract

Nested and mixed logit models were developed to study national-level intercity transportation in the United States. The models were used to estimate the market share of automobile and commercial air transportation of 3,091 counties and 443 commercial service airports in the United States. Models were calibrated with the use of the 1995 American Travel Survey. Separate models were developed for business and nonbusiness trip purposes. The explanatory variables used in the utility functions of the models were travel time, travel cost, and traveler's household income. Given an input county-to-county trip demand table, the models were used to estimate county-to-county travel demand by automobile and commercial airline between all counties and commercial-service airports in the United States. The model has been integrated into a computer software framework called the transportation systems analysis model that estimates nationwide intercity travel demand in the United States.

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Metadata

Authors
Ashiabor, S., Baik, H., & Trani, A.
Affiliations
Virginia Tech (US)
Corresponding author
Ashiabor, Senanu
Venue
Transportation Research Record: Journal of the Transportation Research Board
Published
2007-01
Volume
2007
Issue
1
Pages
1-12
ISSN
  • 0361-1981 (ISSN-L)
  • 2169-4052
OpenAlex
W2120589664
Cited by
68
References
0
Citations by year
2026: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 7 · 2020: 6 · 2019: 4 · 2018: 4 · 2017: 4 · 2016: 7 · 2015: 2 · 2014: 7 · 2013: 3 · 2012: 9
FWCI
6.51
Type
journal article
Language
en
Open access
closed
Locations
Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
Funders
  • National Aeronautics and Space Administration
  • U.S. Department of Transportation
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
Keywords
nested logit model, mixed logit model, car travel, commercial aviation, market share estimation, business travel, travel time, travel cost, household income, travel demand forecasting

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CoChat. (2026). Citation check: Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States. https://app.cochat.ai/papers/10.3141/2007-01
The paper
Ashiabor, S., Baik, H., & Trani, A. (2007). Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.3141/2007-01

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.