Travel Demand Modeling and the Assessment of Environmental Impacts: A Literature Review
Keuntae Kim,
Daniel Byrd and
Susan Handy
Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis
Abstract:
The purpose of this literature review is to assess what is currently known about the ability of travel demand forecasting models (TDMs) to provide accurate forecasts for different types of transportation plans and projects with respect to different outcome measures of interest. The role of TDMs in assessing the implications of highway expansions for vehicle miles of travel (VMT) and greenhouse gas (GHG) emissions is of particular interest given the current regulatory context. Relevant studies for this review were found using a variety of search terms in the Transport Research International Documentation (TRID) database and Google Scholar. The report reviewed the available studies with respect to the themes of limitations of the models, validity testing and sensitivity testing, and VMT forecasting. View the NCST Project Webpage
Keywords: Social and Behavioral Sciences; Accuracy; Environmental impacts; Greenhouse gases; Highway capacity; Literature reviews; Travel demand; Validation; Vehicle miles of travel (search for similar items in EconPapers)
Date: 2024-09-01
New Economics Papers: this item is included in nep-ene, nep-env and nep-tre
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.escholarship.org/uc/item/20v0f1r8.pdf;origin=repeccitec (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt20v0f1r8
Access Statistics for this paper
More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().