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Acknowledgments: <br />SRF Consulting Group, Inc. <br />HaiFeng Transportation Engineering <br />(HFTE) Inc. <br />To: Jennifer Wiltgen <br />Minnesota Department of Transportation <br />From: Paul Morris, PE, SRF Consulting Group, Inc. <br />Haifeng Xiao, PE, PTOE, HFTE Inc. <br />Date: June 10, 2021 <br />Subject: Northwest Metro Mississippi River Crossing Feasibility Analysis: <br />Forecasting Technical Memorandum <br />Introduction <br />This memorandum documents the assumptions for the validation of the travel demand model and <br />the process of developing future year traffic forecasts for the Northwest Metro Mississippi River <br />Crossing Feasibility Analysis. The regional Activity Based Model (ABM), which was developed and <br />has been maintained by the Metropolitan Council, will be used to evaluate existing and future <br />conditions. The existing year for the model has been updated to the year 2018 (from 2014) due to <br />newly available socioeconomic data for the year 2018. Future year (2040) forecasts were developed to <br />evaluate future congestion and potential improvements. This memorandum presents assumptions and <br />methods used to develop the existing year model and year 2040 forecasts. <br />Travel demand models provide an estimation of traffic forecasts that include many future year <br />assumptions. However, with uncertainty regarding future -year conditions, the model results should be <br />considered estimates with some margin of error. As a general guideline, MnDOT considers long-range <br />forecasts to have a precision of approximately ± 15 percent. Decision makers and designers should <br />be aware of the uncertainty in long-range forecasts and whether that margin of error would affect <br />outcomes or the recommended improvements. <br />The forecast development process documented in this memorandum follow traditional planning <br />approaches used in the Twin Cities metropolitan area. These assumptions were established prior to <br />the COVID-19 global pandemic. Specifically, daily activity patterns undertaken by travelers on the <br />regional transportation system reflect data collected through the Metropolitan Council's Travel <br />Behavior Inventory (TBI). Changes in travel behavior during the pandemic, such as increased <br />telework and home delivery services, have insufficient data to be incorporated into modeling processes <br />at this time. These trends should continue to be monitored to understand the extent to which travel <br />demand will be impacted into the future. <br />