modeling | Transportation Research and Education Center

Evaluating the Feasibility of Passive Travel Survey collection in a Complex Urban Environment: Lessons Learned from the New York City Case Study

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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...

PlanSafe - Transportation Safety Planning: Forecasting the Safety Impacts in Socio-Demographic Changes and Safety Countermeasures

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Modeling Oregon's Bridge Investment Options

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Understanding Where We Live and How We Travel

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Topic: Understanding Where We Live and How We Travel: The Development of an Online Visual Survey Tool and Pilot Studies Evaluating Preferences in Residential Neighborhood Choice and Commute

Summary: Understanding changing residential preferences—especially as they are represented within land use and travel demand models—is fundamental to understanding the drivers of future housing, land use and transportation policies. As communities struggle to address a rising number of social challenges with increasing economic uncertainty, transportation and land use planning have become increasingly centered on assumptions concerning the market for residential environments and travel choices. In response, an added importance has been placed on the development of toolkits capable of providing a robust and flexible understanding of how differing assumptions contribute to a set of planning scenarios and impact future residential location decisions.

In this presentation, we discuss one such improvement that can be added to the transportation planning toolkit: an innovative visual online survey tool. This tool was developed to provide a means for researchers to communicate the residential environment to the public. Within this study, we test the ability for the...

Moving Toward a Sustainable Oregon: The Future of Modeling and Decision Tools

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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...

Zoning Strategy Effect in ADA Paratransit Services: A Simulation Study in Los Angeles, CA

Abstract: We study the impact on productivity of a specific operating practice currently adopted by some demand responsive transit (DRT) providers. We investigate the effect of using a zoning vs. a no-zoning strategy on performance measures such as total trip miles, deadhead miles and fleet size. It is difficult to establish closed form expressions to assess the impact on the performance measures of a specific zoning practice for a real transportation network. Thus, we conduct this study through a simulation model of the operations of DRT providers on a network based on data for DRT service in Los Angeles County.

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DASH: The Portland Region's Next-Generation Activity-Based Model

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Where: Room 204 of the Distance Learning Center Wing of the Urban Center at PSU

DASH is the next generation activity based model being developed by the Metro Research Center. Upon completion, it will be one of the most advanced in the nation. This model will be used extensively in estimating the activity and travel response of individuals to policies and infrastructure investments. Compared to past models, it will include enhanced consideration of the socio-economic roles of individuals, discrete temporal dynamics, and intra-household dependencies.

Richard Walker is the manager for the Modeling Services Division at Metro. He manages the technical elements of all programs related to travel and landuse forecasting: including data collection, model development, and model applications. In addition, Mr. Walker currently serves as the chair of the Oregon Modeling Steering Committee – a statewide entity formed to promote collaboration between Oregon modeling agencies with regard to model development activities. As a recipient of a BS degree in civil engineering from Montana State University, he has been a member of the modeling profession for over 40 years.

Trick or Treatment? Impact of Route-Level Features on Decisions to Walk or Bike

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Speaker: Joseph Broach, Ph.D. Candidate, Portland State University
Topic: Trick or Treatment? Impact of Route-Level Features on Decisions to Walk or Bike
Summary: Some travel routes attract people walking and cycling, while others may scare them away. What features of street environments are most important, and how do available routes affect decisions to bike or walk on a specific trip?

Research to date has focused on either large-scale areal measures like "miles of bike lane nearby" or else has considered only shortest path routes. Neither method is suited to capturing the impact of targeted route-level policies like neighborhood greenways. This session will present a new technique for measuring bike and walk accessibility along the most likely route for a given trip. The method is applied to travel data, and results provide new insight into the relationship between route quality and travel mode choice.

Freight Routes: Improving Freight Routing Modeling Capabilities

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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....

Re-examining the influence of work and non-work accessibility on residential location choices with a micro-analytic framework

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Abstract: The concept of accessibility has long been theorized as a principal determinant of household residential choice behavior. Research on this influence is extensive but the empirical results have been mixed, with some research suggesting that accessibility is becoming a relatively insignificant influence on housing choices. Further, the measurement of accessibility must contend with complications arising from the increasing prevalence of trip-chains, non-work activities, and multi-worker households, as well as reconcile person-specific travel needs with household residential decisions. This paper contributes to the literature by addressing the gap framed by these issues and presents a novel residential choice model with three main elements of innovation. First, it operationalized a time-space prism (TSP) accessibility measure, which the authors believe to be the first application of its kind in a residential choice model. Second, it represented the choice sets in a building-level framework, the lowest level of spatial disaggregation available for modeling residential choices. Third, it explicitly examined the influence of non-work accessibility at both the local- and person-level. This residential choice model was applied in the...

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