TELUM Land Use Model: An Investigation of Data Requirements and Calibration Results for Chittenden County MPO, U.S.A.

Authors: Georgia Pozoukidou

Abstract:

TELUM software is a land use model designed specifically to help metropolitan planning organizations (MPOs) prepare their transportation improvement programs and fulfill their numerous planning responsibilities. In this context obtaining, preparing, and validating socioeconomic forecasts are becoming fundamental tasks for an MPO in order to ensure that consistent population and employment data are provided to travel demand models. Chittenden County Metropolitan Planning Organization of Vermont State was used as a case study to test the applicability of TELUM land use model. The technical insights and lessons learned from the land use model application have transferable value for all MPOs faced with land use forecasting development and transportation modeling.

Keywords: Calibration data requirements, land use models, land use planning, Metropolitan Planning Organizations.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091198

References:

[1] Putman, Stephen H. "DRAM Residential Location and Land Use Model: 40 Years of Development and Application." Residential Location Choice. Springer Berlin Heidelberg, 2010, pp. 61-76.
[2] Putman S., Integrated Urban Models 2. Pion Limited, London, 1992.
[3] Putman S., Integrated Urban Models: Policy Analysis of Transportation and Land Use. Pion Limited, London, 1983.
[4] Chittenden County Regional Planning Commission, www.ccrpcvt.org (Accessed 15/01/2014).
[5] United States Census Bureau, http://factfinder2.census.gov (Accessed 15/01/2014).
[6] United States Department of Commerce - Bureau of Economic Analysis; Market Statistics, 2012.
[7] Department of Labor, State of Vermont, www.labor.vermont.gov )Accessed 13/01/2014).
[8] Pozoukidou G. (2010), Predicting the Outcome of Plans. Retrospect and Prospects of the Use of Models in Planning, in Brebbia C.A., HernandezS., Tiezzi E.(eds), Urban Regeneration and Sustainability, WIT Press, Boston, pp. 83-93.