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• 1. [Article] Behavior-Based Freight Modeling at Metro

  Chris Johnson and Bud Reiff will present on a behavior-based freight model being used at Oregon Metro. This model will replace Metro’s current truck model with a hybrid freight model that both represents ...

  Citation × Citation Citation Abstract Copy Title: Behavior-Based Freight Modeling at Metro Author: Johnson, Chris, Reiff, Bud Year: 2017 Chris Johnson and Bud Reiff will present on a behavior-based freight model being used at Oregon Metro. This model will replace Metro’s current truck model with a hybrid freight model that both represents multi-modal freight flows through elements of national and regional supply chains and simulates the movement of individual trucks and shipments on local networks. Model estimation and calibration will also require collection of behavioral data from shippers and receivers representing a wide range of industries, common and contract freight carriers, business that operate non-freight commercial vehicles, warehouse managers, and logistics agents. Key project objectives: Develop tools to enable a more comprehensive analysis of infrastructure needs and policy choices pertaining to the movements of goods. Develop more detailed network assignments by truck type, which support regional environmental analysis, as well as local traffic operations and engineering analysis. Develop freight forecasts that are responsive to changes in economic forecasts, changing growth rates among industrial sectors, and changing rates of economic exchange and commodity flows between sectors. Replace trip-based truck model with more realistic tour-based model. Title: Behavior-Based Freight Modeling at Metro Author: Johnson, Chris, Reiff, Bud Year: 2017 Chris Johnson and Bud Reiff will present on a behavior-based freight model being used at Oregon Metro. This model will replace Metro’s current truck model with a hybrid freight model that both represents multi-modal freight flows through elements of national and regional supply chains and simulates the movement of individual trucks and shipments on local networks. Model estimation and calibration will also require collection of behavioral data from shippers and receivers representing a wide range of industries, common and contract freight carriers, business that operate non-freight commercial vehicles, warehouse managers, and logistics agents. Key project objectives: Develop tools to enable a more comprehensive analysis of infrastructure needs and policy choices pertaining to the movements of goods. Develop more detailed network assignments by truck type, which support regional environmental analysis, as well as local traffic operations and engineering analysis. Develop freight forecasts that are responsive to changes in economic forecasts, changing growth rates among industrial sectors, and changing rates of economic exchange and commodity flows between sectors. Replace trip-based truck model with more realistic tour-based model. Close

• 2. [Article] Measuring What We Value: Using Performance Measures to Achieve Goals

  Performance measures are commonly used in transportation planning, but how effectively are public agencies using them, and to what ends? Metro, ODOT and many cities use performance measures to evaluate ...

  Citation × Citation Citation Abstract Copy Title: Measuring What We Value: Using Performance Measures to Achieve Goals Author: Rall, Chris Year: 2016 Performance measures are commonly used in transportation planning, but how effectively are public agencies using them, and to what ends? Metro, ODOT and many cities use performance measures to evaluate investment choices and monitor progress. Drawing from Transportation for America’s report Measuring What We Value, and some of the most cutting edge examples of performance-based planning around the nation, Chris' presentation will step back to consider what makes a performance-based planning approach effective at achieving an agency’s goals. Title: Measuring What We Value: Using Performance Measures to Achieve Goals Author: Rall, Chris Year: 2016 Performance measures are commonly used in transportation planning, but how effectively are public agencies using them, and to what ends? Metro, ODOT and many cities use performance measures to evaluate investment choices and monitor progress. Drawing from Transportation for America’s report Measuring What We Value, and some of the most cutting edge examples of performance-based planning around the nation, Chris' presentation will step back to consider what makes a performance-based planning approach effective at achieving an agency’s goals. Close

• 3. [Article] How to Estimate Pedestrian Demand

  There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Such efforts often require analytical non-motorized planning tools to estimate ...

  Citation × Citation Citation Abstract Copy Title: How to Estimate Pedestrian Demand Author: Clifton, Kelly, Singleton, Patrick Allen, Muhs, Christopher D., Schneider, Robert J. Year: 2015 There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Such efforts often require analytical non-motorized planning tools to estimate levels of pedestrian demand that are sensitive to environmental and demographic factors at an appropriate scale. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short. To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop a pedestrian demand estimation tool. For generations, planners have been using statistical models to forecast travel demand, but these models have traditionally been auto-centered. The new tool will allow planners to allocate infrastructure based on pedestrian demand in the Portland, Oregon metropolitan area. The tool is also designed to be replicable, so that other metropolitan areas can adapt the model to begin estimating pedestrian demand in their cities. Title: How to Estimate Pedestrian Demand Author: Clifton, Kelly, Singleton, Patrick Allen, Muhs, Christopher D., Schneider, Robert J. Year: 2015 There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Such efforts often require analytical non-motorized planning tools to estimate levels of pedestrian demand that are sensitive to environmental and demographic factors at an appropriate scale. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short. To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop a pedestrian demand estimation tool. For generations, planners have been using statistical models to forecast travel demand, but these models have traditionally been auto-centered. The new tool will allow planners to allocate infrastructure based on pedestrian demand in the Portland, Oregon metropolitan area. The tool is also designed to be replicable, so that other metropolitan areas can adapt the model to begin estimating pedestrian demand in their cities. Close

• 4. [Article] Webinar: Development of a Pedestrian Demand Estimation Tool

  Why model pedestrians? A new predictive tool for estimating pedestrian demand has potential applications for improving walkability. By forecasting the number, location and characteristics of walking trips, ...

  Citation × Citation Citation Abstract Copy Title: Webinar: Development of a Pedestrian Demand Estimation Tool Author: Clifton, Kelly Year: 2016 Why model pedestrians? A new predictive tool for estimating pedestrian demand has potential applications for improving walkability. By forecasting the number, location and characteristics of walking trips, this tool allows for policy-sensitive mode shifts away from automobile travel. There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short. To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop this pedestrian demand estimation tool which can allow planners to allocate infrastructure based on pedestrian demand in the Portland, Oregon metropolitan area. The tool is also designed to be replicable, so that other metropolitan areas can adapt the model to begin estimating pedestrian demand in their cities. This webinar will provide an overview of how the tool functions as well as a framework for applying this method in other cities. Title: Webinar: Development of a Pedestrian Demand Estimation Tool Author: Clifton, Kelly Year: 2016 Why model pedestrians? A new predictive tool for estimating pedestrian demand has potential applications for improving walkability. By forecasting the number, location and characteristics of walking trips, this tool allows for policy-sensitive mode shifts away from automobile travel. There is growing support to improve the quality of the walking environment and make investments to promote pedestrian travel. Despite this interest and need, current forecasting tools, particularly regional travel demand models, often fall short. To address this gap, Oregon Metro and NITC researcher Kelly Clifton worked together to develop this pedestrian demand estimation tool which can allow planners to allocate infrastructure based on pedestrian demand in the Portland, Oregon metropolitan area. The tool is also designed to be replicable, so that other metropolitan areas can adapt the model to begin estimating pedestrian demand in their cities. This webinar will provide an overview of how the tool functions as well as a framework for applying this method in other cities. Close