Jason D. Lemp

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Vehicle externality costs include emissions of greenhouse and other gases (affecting global warming and human health), crash costs (imposed on crash partners), roadway congestion, and space consumption, among others. These five sources of external costs by vehicle make and model were estimated for the top-selling passenger cars and light-duty trucks in the(More)
Forecasting traffic and toll revenues for new highway projects involves great uncertainty due to the inherent uncertainty in the models used to make forecasts. As private investment becomes more common in project financing, quantifying the levels of risk and uncertainty associated with such projects becomes critical. This paper represents a review of many(More)
Pricing of roadways opens doors for infrastructure financing, and congestion pricing seeks to address inefficiencies in roadway operations. This paper emphasizes the revenue-generation opportunities and welfare impacts of flat-tolling schemes, standard congestion pricing, and credit-based congestion pricing policies. While most roadway investment decisions(More)
  • Xiaokun, Cara Wang, P E Assistant, Kara M Kockelman, William J Murray, Fellow +1 other
  • 2012
Many transportation-related behaviors involve multinomial discrete response in a temporal and spatial context. These include quality of paved roadway sections over time, evolution of land use at the parcel level, vehicle purchases by socially networked households, and mode choices by individuals residing across adjacent homes or neighborhoods. Such(More)
Long-combination vehicles (LCVs) have significant potential to increase economic productivity for shippers and carriers by decreasing the number of truck trips, thus reducing costs. However, size and weight regulations, triggered by safety concerns and, in some cases, infrastructure investment concerns, have prevented large-scale adoption of such vehicles.(More)
In recent years, the use of visioning as a tool for developing regional land use scenarios has become rather common. Typically, visioning is performed in a cooperative of business owners, the community, and local officials, and results in a set of regional development goals for the region's future. This is a very different approach to thinking about a(More)
  • Brenda, Zhou Graduate, Student Researcher, Kara M Kockelman, William J Murray, Fellow +1 other
  • 2008
Forecasting urban futures is of great importance to many in order to ensure adequate provision of public and private services and implement policies that guide demand while mitigating negative impacts. This study produces year-2030 predictions of land use and travel conditions across the Austin-Round Rock Metropolitan Statistical Area of Texas, by(More)
Two competing approaches to travel demand modeling exist today. The more traditional " 4-step " travel demand models rely on aggregate demographic data at a traffic analysis zone (TAZ) level. Activity-based microsimulation methods employ more robust behavioral theory while focusing on individuals and households. While the vast majority of U.S. metropolitan(More)
A great disparity exists between the direction of travel demand forecasting by researchers, and the travel demand models used by transportation planning organizations. Activity-based models of travel demand have become increasingly studied in the academic realm and significant advances have been made in recent years. However, travel demand forecasting tools(More)
36 37 As tour-based methods for activity and travel participation patterns replaces trip-based methods, time-38 of-day (TOD) choice modeling remains problematic. In practice, most travel demand model systems 39 handle tour scheduling via joint-choice multinomial logit (MNL) models, which suffer from the well-40 known independence of irrelevant alternatives(More)