Kara M Kockelman12
William J Murray10
12Kara M Kockelman
10William J Murray
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  • Kara M Kockelman, William J Murray, Fellow, Jason D Lemp
  • 2012
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, P E, William J Murray +2 others
  • 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)
  • Brenda, Zhou Graduate, Student Researcher, Kara M Kockelman, William J Murray, Fellow +1 other
  • 2009
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)
  • Jason D Lemp, Kara M Kockelman, William J Murray, Fellow, Kockelman
  • 2014
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)
  • Jason D Lemp, Kara M Kockelman, William J Murray, Fellow
  • 2012
Many discrete choice contexts in transportation deal with large choice sets, including destination, route, and vehicle choices. Model estimation with large numbers of alternatives remains computationally expensive. In the context of the multinomial logit (MNL) model, limiting the number of alternatives in estimation by simple random sampling (SRS) yields(More)
  • Jason D Lemp, Brenda Zhou, Kara M Kockelman, William J Murray, Fellow, Barbara M Parmenter
  • 2012
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)
Discrete choice models, like the multinomial logit (MNL), have long been recognized for their ability to capture a wide array of transport-related choice phenomena. However, a number of choices are continuous response variables (e.g., location choice, departure time choice, activity duration, and vehicle usage). In this paper, the continuous cross-nested(More)
  • Jason D Lemp, Kara M Kockelman, William J Murray, Fellow
  • 2012
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)
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)
  • Jason D Lemp, Kara M Kockelman, William J Murray, Fellow, Lemp, Kockelman
  • 2012
Numerous models of travel timing have been calibrated in the literature. Some treat time as a discrete variable using familiar discrete choice methods, while others have treated time in a continuous fashion. Both approaches offer distinct advantages. Here, a continuous logit model of work tour departure time choice is estimated, which offers the advantage(More)