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Travel demand modeling for the small and medium sized MPOs in Illinois.

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English


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  • Abstract:
    Travel demand modeling is an important tool in the transportation planning community. It helps forecast travel ; characteristics into the future at various planning levels such as state, region and corridor. Using travel demand ; modeling to evaluate different situations (changes in land use and/or transportation network) would allow ; Metropolitan Planning Organizations’ (MPOs) staff make educated decisions regarding growth and ; improvements to their respective regional transportation networks. Several small (50,000< population ; <200,000) and medium (200,000 ; different transportation planning purposes, most commonly, the Long Range Transportation Plan (LRTP) and ; Transportation Improvement Program (TIP). Some of the small and medium sized MPOs in the state of Illinois ; are unable to utilize TDM tools primarily due to lack of available resources and guidelines at the regional and ; state level. This study sought to establish the framework necessary for the development, maintenance, and ; application of small and medium sized MPOs’ TDMs. It is crucial for the local, regional, and state agencies to ; play a collaborative role in the transportation planning process. This study established a framework for ; developing travel demand models at the MPO regional level considering their limited available resources. ; Special attention was given to simplicity and accuracy of the travel model development process. Extensive ; calibration and validation checks were recommended, as accuracy of travel forecasting is of high importance. ; As an important part of this study, a statewide group, the Illinois Modeling Users Group (IL-MUG) was created ; to support, set standards and guide the development, implementation, and maintenance of travel demand ; models in small and medium sized MPOs in Illinois.
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    PDF
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    Filetype[PDF - 1.13 MB]
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    urn:sha256:36978c07cd755e82c74879883fcab59041b7ae7991199a0516a8ded004f768a1
File Language:
English
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