D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 58 Citations 18,891 197 World Ranking 750 National Ranking 329

Overview

What is she best known for?

The fields of study she is best known for:

  • Statistics
  • Transport engineering
  • Normal distribution

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.

Her most cited work include:

  • TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN (2247 citations)
  • Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations (1127 citations)
  • The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios (531 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Transport engineering (32.17%)
  • Econometrics (20.87%)
  • Land use (17.39%)

What were the highlights of her more recent work (between 2016-2021)?

  • Transport engineering (32.17%)
  • TRIPS architecture (5.22%)
  • Congestion pricing (9.57%)

In recent papers she was focusing on the following fields of study:

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.

Between 2016 and 2021, her most popular works were:

  • Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas (253 citations)
  • Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies (222 citations)
  • A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application (109 citations)

In her most recent research, the most cited papers focused on:

  • Statistics
  • Transport engineering
  • Normal distribution

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.

Best Publications

TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN

Robert Cervero;Kara M. Kockelman.
(1997)

4632 Citations

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

Daniel J Fagnant;Kara M. Kockelman.
(2015)

2667 Citations

The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios

Daniel J. Fagnant;Kara M. Kockelman.
(2014)

1134 Citations

Assessing public opinions of and interest in new vehicle technologies: An Austin perspective

Prateek Bansal;Kara M. Kockelman;Amit Singh.
(2016)

755 Citations

Driver injury severity: an application of ordered probit models.

Kara Maria Kockelman;Young-Jun Kweon.
(2002)

710 Citations

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)

693 Citations

Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies

Prateek Bansal;Kara M. Kockelman.
(2017)

567 Citations

Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas

Daniel J. Fagnant;Kara M. Kockelman.
(2018)

523 Citations

Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions

T. Donna Chen;Kara M. Kockelman;Josiah P. Hanna.
(2016)

459 Citations

A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods

Junlai Ma;Kara Maria Kockelman;Paul Damien.
(2008)

447 Citations

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