Nov 24, 2014

The video begins at 0:16.

Abstract: This seminar will introduce travel models to non-modelers. It will build off the previous seminar, which introduced models in general, and discuss two primary approaches to travel modeling – four-step aggregate models and activity-based disaggregate models. The inputs, basic model methodology, and outputs of each approach will be discussed. An example of each approach will be discussed as well. The goal of the seminar is to introduce key concepts, basic differences between the two approaches, and discuss the benefits and shortcomings of each approach, with a focus on application.

Speaker Bio: Ben Stabler is a supervising planner with Parsons Brinckerhoff who specializes in planning modeling systems development. Ben has worked locally, as well as internationally, on numerous four-step and activity-based travel demand and land use modeling systems and has presented at various conferences, including TRB, the TRB Planning Applications Conference, and the Innovations in Travel Modeling conference. He is a certified GIS Professional and has worked in travel forecasting for Oregon DOT as well as PTV – the makers of VISUM and VISSIM. Ben is a member of the TRB Urban Transportation Data and Information Systems Committee (ABJ30) and is an active member of the Oregon Modeling Users Group.

Nov 24, 2014

The video begins at 0:43.

Abstract: Integrated land use transportation models simulate the behavior of the spatial economic system and the interactions between the transportation system and the rest of the economic system. The essential elements of these models are explicit treatment of space in economic production and consumption behavior, both the space that is the physical areas that contain production processes and the space that separates different production locations and gives rise to the demand for travel and transport. They put travel within an economic context, and thus facilitate simulation of the impacts of transportation policy and planning actions and transportation conditions on the wider economic system. As such, integrated models can be used address complex policy questions that more limited transportation models cannot address, or cannot address well.

This seminar will set out the basic scope and form of integrated models and discusses several of the key advantages they provide for planning. Experiences gained in the practical applications of the Oregon SWIM and Sacramento MEPLAN and PECAS integrated models will be described. These experiences will be used to illustrate the added benefits arising with such models in terms of more efficient land use forecasting, more complete analysis of cumulative and indirect impacts and more holistic consideration of policy in general, more...

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Nov 24, 2014

The video begins at 0:57.

Abstract: This seminar will introduce land use models to non-modelers. It will cover the basic concepts of land use models and evolving approaches of land use modeling. It will examine how these models and the questions their users are being asked to respond to have evolved over the past two decades. In particular, it will discuss an integrated approach with transportation models that are increasingly used to inform land use and transportation planning. The seminar concludes with a discussion of the limitations and new directions of land use modeling research and practice.

Speaker Bio: Liming Wang, a post doctoral researcher at University of California- Berkeley, has a PhD from the University of Washington Interdisciplinary PhD program in Urban Design and Planning. He has developed key features of the UrbanSim model system, and participated actively in its application in numerous metropolitan areas. His expertise includes advanced econometrics of discrete choice modeling, model development, and software development in R and Python.

Nov 24, 2014

The video begins at 1:18.

Abstract: Models are used for many different purposes. Some seek to impart understanding of the system under study, while others seeks to understand dynamics. Most of the models considered in this course are also used for forecasting likely future levels of demand and its impact upon the built and natural environment. Unlike models of purely physical systems these models attempt to capture the interactions between people and institutions. Social systems are considerably more complex and chaotic. They are shaped by disruptive technologies, changing markets, economic cycles, and cultural influences that a difficult to predict, much less their subtle (and sometimes not so subtle) interaction effects. Uncertainty creeps into forecasting as a result, creating risk that a policy or investment may have unintended consequences, under-perform, or be short-lived. Transportation and land use modelers have typically only weakly accommodated such realities in their forecasts. Policy-makers and investors are increasingly demanding a more explicit accounting of risk and uncertainty in forecasting. This discussion will focus on how this will affect the practice of modeling in the future.

Speaker Bio: Rick Donnelly has over 25 years of experience in the modeling and simulation of transportation systems, from the urban to national level. His current interests include agent-based modeling of...

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Nov 24, 2014

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Abstract: Climate change may be the most serious and urgent issue facing the transportation sector. Transportation is both a major producer of greenhouse gas (GHG) emissions and is also vulnerable to the consequences of climate change. Major reductions in GHG emissions from the transportation sector will be needed in order to avoid the most serious effects of climate change. Travel models can play an important role in evaluating strategies for reducing transportation sector GHG emissions, but prevailing travel models do not address a number of factors that significantly affect GHG emissions. The GreenSTEP model was developed to fill this gap. The model estimates household level vehicle travel, energy consumption, and GHG emissions. GreenSTEP is currently being used to assist the development of ODOT's Statewide Transportation Strategy for reducing GHG emissions and Metro's Climate Smart Communities scenario planning process.

Speaker Bio: Brian Gregor is a senior transportation analyst for the Oregon Department of Transportation (ODOT) where for the past 15 years he has worked on a variety of transportation and land use modeling and analysis projects. He is the principal developer of the GreenSTEP and Land Use Scenario DevelopeR (LUSDR) models. He has also worked on the development and application of Oregon's Statewide Integrated Model (SWIM), lead the automation of ODOT's modeling processes...

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Nov 24, 2014

The video begins at 2:09.

Abstract: The ability to fully understand and accurately characterize freight route choice is one that will support freight modeling frameworks, and regional and state transportation decisions. This ability, when combined with regional and state commodity flow data, can compose an effective statewide freight modeling framework. Typically, transportation network models take a shortest path assumption for truck routing both for strategic and operational routing decisions. The goal of this research was to determining how different subgroups of shippers, carriers, and receivers make route choices, and to understand how these approaches vary across types of routing decisions. We consider route changes of both a spatial and temporal manner. This talk presents the results of a survey of over 800 shippers, carriers, and receivers in Washington State, and recommends a framework for improving the modeling of routing decisions in existing network models.

Speaker Bio: Professor Anne Goodchild has worked and studied in the transportation field for more than 15 years. Her initial experience in management consulting for transportation providers was followed by the completion of a PhD at UC Berkeley and research experience while developing the freight transportation program at the University of Washington. In addition to a BS in mathematics and an MS and PhD in Civil Engineering, Dr....

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Nov 24, 2014

The video begins at 0:52.

Abstract:  This seminar concludes the eight week exploration of transportation models and decision tools with a look to the future. Oregon is known for its history of forward thinking policies around sustainable transportation, including linking land use and transportation planning at the regional level, investments in transit and non-motorized modes, and statewide legislation to reduce greenhouse gas emissions. To aid these transportation planning and policy decisions, Oregon has developed some of the most sophisticated models and analytic tools currently in use in the United States. As Oregon moves forward to address the next set of challenges - energy security, climate change, economic constraints and equity, models will need to provide new information at different spatial and temporal scales to support long range planning - 30 to 50 years out - as well as near term decisions - 1 to 5 years ahead. Beth Wemple, a Portland-based consultant with Cambridge Systematics, will share her view on Oregon's transportation future. Keith Lawton, consultant and former transportation planner at Metro, will respond by discussing the next steps for model development and application needed to support this agenda.

Speaker Bio: Keith Lawton is a transport modeling consultant and past Director of Technical services, Metro Planning Department, Portland, OR. He has been active in model...

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Nov 21, 2014

The video begins at 1:34.

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Abstract: The combination of increasing challenges in administering household travel surveys as well as advances in global positioning systems (GPS) and geographic information systems (GIS) technologies motivated this project. It tests the feasibility of using a passive travel data collection methodology in a complex urban environment, by developing GIS algorithms to automatically detect travel modes and trip purposes. The study was conducted in New York City where the multi-dimensional challenges include urban canyon effects, an extremely dense and diverse set of land use patterns, and a complex transit network. Our study uses a multi-modal transportation network, a set of rules to achieve both complexity and flexibility for travel mode detection, and develops procedures and models for trip end clustering and trip purpose prediction. The study results are promising, reporting success rates ranging from 60% to 95%, suggesting that in the future, conventional self-reported travel surveys may be supplemented, or even replaced, by passive data collection methods.

Speaker Bio: Cynthia Chen is an associate professor in the department of civil and environmental engineering at the University of Washington. She obtained her Ph.D in civil and environmental engineering from...

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Nov 21, 2014

The video begins at 4:30.

The San Francisco Bay Area, like other metropolitan regions in California, is in the process of developing regional plans to reduce greenhouse gas emissions in response to state legislation that sets targets for such reduction, and prescribes that Metropolitan Planning Organizations develop Sustainable Communities Strategies that leverage changes in land use patterns in combination with transportation investments, that will meet those targets. This talk describes the land use modeling that is being used, in combination with the activity-based transportation model system at the Metropolitan Transportation Commission, to analyze alternative combinations of land use policies and transportation policies. It also will demonstrate visualization technology that has been developed to facilitate community engagement in the process

Speaker Bio: Paul Waddell is Professor and Chair of the City and Regional Planning Department at the University of California, Berkeley. He teaches and conducts research on land use and transportation modeling and planning. He designed and leads the development of the UrbanSim land use modeling platform, now being used in metropolitan planning organizations across the U.S., and in research projects throughout the world.

Nov 21, 2014

Special Seminar: Room 315 of the Maseeh College of Engineering & Computer Science on the Portland State University campus.

Florida’s Turnpike Enterprise has completed planning studies to forecast the revenue earning potential of tolled special use lanes along Interstates in Florida. The tolled special use lanes or “Managed Lanes” will be contained within the interior of the Interstates' highway corridors. The Managed Lanes concept has been incorporated into larger widening projects in Central and South Florida, which is under development by the Florida Department of Transportation. The presentation will focus on the approach and methodology for estimating traffic and revenue for Express Toll Lanes in an existing limited access corridor. The core content is the required data, traffic modeling efforts, and how the results are used by the Finance Department to estimate potential revenues.

Bio: Jack Klodzinski received his Bachelors’, Master’s and Ph.D. in Civil Engineering from the University of Central Florida where his focus was on toll road operations. He is now the Travel Forecast Manager at Florida’s Turnpike for the URS Corporation where his main focus is on traffic forecasting for toll facilities. He works with a team of modelers to produce toll traffic forecasts used in roadway design, operations, or future revenue estimates. Jack also stays active with UCF as a Graduate Faculty Scholar for the Department of Civil, Environmental, and Construction...

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