The DOI matches its Crossref record.
Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States
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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“Logit models such as multino- mial, nested and cross nested models are extensively used to forecast demand through passen- ger choice modelling.”
From Passenger demand forecasting in scheduled transportation (2020) · cites this paper as Ashiabor et al. (2007)
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Cited by
Passenger demand forecasting in scheduled transportation
Banerjee, N., Morton, A., & Akartunalı, K. (2020) · European Journal of Operational Research · doi:10.1016/j.ejor.2019.10.032 · Cited by 106
Metadata
- Authors
- Ashiabor, S., Baik, H., & Trani, A.
- Affiliations
- Virginia Tech (US)
- Corresponding author
- Ashiabor, Senanu
- ORCID
- Trani, Antonio
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- 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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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.
