01127392

Component

https://doi.org/10.3141/2119-06

http://scholar.google.com...aujo&publication_year=2009

For U.S. metropolitan planning organizations (MPOs), obtaining, preparing, and validating socioeconomic forecasts are fundamental tasks to ensure that logical, consistent, and approved population and employment data are provided to the travel demand models. This process is enhanced if the MPO includes both transportation and land use inputs into the forecast process. To fulfill these desires, the Pikes Peak Area Council of Governments (the MPO in Colorado Springs, Colorado) decided to use TELUM—transportation, economic, and land use model software—to conduct the land use forecasting task. TELUM was developed by Stephen Putman and the New Jersey Institute of Technology (NJIT) as part of the transportation, economic, and land use system sponsored by FHWA. With assistance from NJIT, MPO staff serving this 500,000-plus person region calibrated the land use model for the 2000 to 2005 period and then used TELUM to produce land use forecasts for six 5-year increments between 2005 and 2035. The Colorado Springs region has a unique character, including a workforce that is 11% active military personnel, a diverse employment profile including high-tech manufacturing and a large recreation-based workforce, and a growing retiree population. Additionally, the MPO area includes a dense urban area, large exurban developments, rugged mountain areas, and frontier grasslands, all of which challenged the technical staff that worked on model development. The technical and policy insights and lessons learned from the TELUM application in Colorado Springs have transferable value for all sizes of MPOs faced with forecasting development and transportation.

01147422

09-2697

English

pp 45-53

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309126359

Print

Figures (6) ; References (4) ; Tables (1)

Forecasting; Land use models; Land use planning; Lessons learned; Metropolitan planning organizations; Socioeconomic factors; Travel demand

TELUM (Computer model)

Colorado Springs (Colorado); Pikes Peak Region (Colorado)

Economics; Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 30 2009 7:03PM

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