01340048

Component

Integrated land use and transportation forecasting models require large amounts of data to estimate and calibrate. Obtaining reliable data sets for these models can be one of the most cost prohibitive and time consuming stages of such an endeavor. For this reason many metropolitan planning organizations (MPOs) and state departments of transportation (DOTs) have not yet adopted integrated land use and transportation forecasting tools in spite of their clear potential. The purpose of this paper is to present a case study data development program that was able to successfully provide all of the needed data for the estimation and calibration of an integrated land use and transportation forecasting model. The recently developed Cube Land model was implemented in the Montgomery (Alabama) Area Metropolitan Planning Organization with funding from the Alabama Department of Transportation. The data development program was fiscally and temporally constrained and replicates typical model development conditions in medium-sized MPOs. This case study presents findings demonstrating that locally developed datasets combined with national data sources and “off-the-shelf”, relatively low cost but high quality, purchasable datasets can be obtained in a relatively short amount of time and are sufficient to estimate and calibrate an integrated land use and transportation forecasting model. One of the constraints placed upon this project from its funders was that both the data development and model implementation had to result in readily transferable processes that could be implemented by other planning agencies within the state. An argument is presented that these processes are transferable not only within the state of Alabama but also to other small- to medium-sized MPOs with in the US.

01329018

11-3438

English

14p

2011

Transportation Research Board 90th Annual Meeting

DVD

Figures; Maps; References; Tables (4)

Calibration; Case studies; Data collection; Forecasting; Integrated systems; Land use planning; Medium sized cities; Metropolitan planning organizations; State departments of transportation

Montgomery (Alabama)

Data and Information Technology; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2011 Paper #11-3438

TRIS, TRB

Feb 17 2011 6:31PM