The scientist’s investigation covers issues in Transport engineering, Travel behavior, Mode choice, Statistics and TRIPS architecture. Her Transport engineering study frequently involves adjacent topics like Built environment. Her studies deal with areas such as Transit-oriented development and Mixed-use development as well as Built environment.
Kara M. Kockelman interconnects Actuarial science, Trip generation, Vehicle miles of travel and Traffic congestion in the investigation of issues within Travel behavior. Her Mode choice study frequently draws connections to adjacent fields such as Walkability. Her TRIPS architecture research is multidisciplinary, incorporating perspectives in Renewable energy, Market share and Mode.
Kara M. Kockelman mostly deals with Transport engineering, Econometrics, Land use, Travel behavior and Congestion pricing. Her Transport engineering research includes elements of Truck and Mode. The Econometrics study combines topics in areas such as Statistics, Spatial analysis, Bayesian probability and Trip generation.
Her Land use study combines topics in areas such as Urban planning and Environmental planning. Her research ties Vehicle miles of travel and Travel behavior together. Her research investigates the connection between Congestion pricing and topics such as Welfare that intersect with issues in Revenue.
Her primary scientific interests are in Transport engineering, TRIPS architecture, Congestion pricing, Vehicle miles of travel and Land use. Her Transport engineering research integrates issues from Profitability index and Mode. Her study in TRIPS architecture is interdisciplinary in nature, drawing from both Fast charging, Electrical engineering and Integer programming.
Her studies in Vehicle miles of travel integrate themes in fields like Port, Computer network, Travel behavior and Traffic congestion. Her study looks at the relationship between Travel behavior and fields such as Personal income, as well as how they intersect with chemical problems. Her Land use research is multidisciplinary, incorporating elements of Willingness to pay, Marketing, Ordered probit and Built environment.
Her scientific interests lie mostly in Transport engineering, TRIPS architecture, Mode choice, Destinations and Willingness to pay. When carried out as part of a general Transport engineering research project, her work on Traffic congestion is frequently linked to work in Range, therefore connecting diverse disciplines of study. Her work carried out in the field of Traffic congestion brings together such families of science as Travel behavior, Price elasticity of demand, Time horizon and Vehicle miles of travel.
Her research in TRIPS architecture intersects with topics in Travel time and Mode. The various areas that Kara M. Kockelman examines in her Mode choice study include Variety, Timeline and Environmental economics. The concepts of her Willingness to pay study are interwoven with issues in Agricultural economics, Marketing, Market penetration, Ordered probit and Summary statistics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN
Robert Cervero;Kara M. Kockelman.
(1997)
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Daniel J Fagnant;Kara M. Kockelman.
(2015)
The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
Daniel J. Fagnant;Kara M. Kockelman.
(2014)
Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Prateek Bansal;Kara M. Kockelman;Amit Singh.
(2016)
Driver injury severity: an application of ordered probit models.
Kara Maria Kockelman;Young-Jun Kweon.
(2002)
Travel Behavior as Function of Accessibility, Land Use Mixing, and Land Use Balance: Evidence from San Francisco Bay Area
Kara Maria Kockelman.
Transportation Research Record (1997)
Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies
Prateek Bansal;Kara M. Kockelman.
(2017)
Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas
Daniel J. Fagnant;Kara M. Kockelman.
(2018)
Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions
T. Donna Chen;Kara M. Kockelman;Josiah P. Hanna.
(2016)
A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods
Junlai Ma;Kara Maria Kockelman;Paul Damien.
(2008)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of New South Wales
University of California, Davis
The University of Texas at Austin
Purdue University West Lafayette
The University of Texas at Austin
University of California, Berkeley
University of Sydney
ETH Zurich
ETH Zurich
The University of Texas at Austin
Columbia University
Yuan Ze University
Halliburton (United Kingdom)
Kyoto University
University of Minnesota
University of Twente
Technion – Israel Institute of Technology
Tsinghua University
Wuhan University
Chinese Academy of Sciences
Max Planck Society
National Institutes of Health
University of Veterinary Medicine Vienna
Université Libre de Bruxelles
University of Florida
Johns Hopkins University