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Kara M. Kockelman

Researcher at University of Texas at Austin

Publications -  362
Citations -  23738

Kara M. Kockelman is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Travel behavior & Crash. The author has an hindex of 60, co-authored 342 publications receiving 19735 citations. Previous affiliations of Kara M. Kockelman include University of California, Davis & URS Corporation.

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Travel demand and the 3ds: density, diversity, and design

TL;DR: In this article, the authors examined how the built environment affects trip rates and mode choice of residents in the San Francisco Bay Area using 1990 travel diary data and land-use records obtained from the U.S. census, regional inventories, and field surveys.
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Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

TL;DR: In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.

Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations

TL;DR: In this paper, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy for personal travel in the United States, which is based on the work of the authors of this paper.
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The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios

TL;DR: In this article, the authors describe the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use.
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Assessing public opinions of and interest in new vehicle technologies: An Austin perspective

TL;DR: A recent internet-based survey of 347 Austinites found that respondents perceive fewer crashes to be the primary benefit of autonomous vehicles (AVs), with equipment failure being their top concern as mentioned in this paper, and their average willingness to pay (WTP) for adding full (Level 4) automation ($7253) appears to be much higher than that for adding partial (Level 3) automation (3300) to their current vehicles.