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D-Index & Metrics

Social Sciences and Humanities

D-Index
61
Citations
14190
World Ranking
1356
National Ranking
260

Overview

Stephane Hess is affiliated with the University of Leeds in the United Kingdom and has an extensive research portfolio primarily within the fields of Social Sciences and Economics, Econometrics, and Finance. Their research spans various subfields, notably Transportation, Economics and Econometrics, Marketing, Automotive Engineering, and General Decision Sciences.

Their work focuses on several main topics such as Economic and Environmental Valuation, Transportation Planning and Optimization, Urban Transport and Accessibility, Decision-Making and Behavioral Economics, Transportation and Mobility Innovations, Consumer Market Behavior and Pricing, and Human Mobility and Location-Based Analysis.

Hess has published numerous studies in well-known academic venues. The most frequent outlets for their work include the SSRN Electronic Journal, Transportation Research Part A Policy and Practice, arXiv (Cornell University), Journal of Choice Modelling, and Transportation. These venues reflect their focus on transportation systems, choice modeling, and economic evaluation.

Recent publications authored or co-authored by Hess include:

  • "Understanding the preferences for different types of urban greywater uses and the impact of qualitative attributes" (2020) in Water Research
  • "Modelling regional accessibility to airports using discrete choice models: An application to a system of regional airports" (2020) in Transportation Research Part A Policy and Practice
  • "The path towards herd immunity: Predicting COVID-19 vaccination uptake through results from a stated choice study across six continents" (2022) in Social Science & Medicine
  • "Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling" (2020) in Transportation
  • "Modelling risk perception using a dynamic hybrid choice model and brain-imaging data: An application to virtual reality cycling" (2021) in Transportation Research Part C Emerging Technologies

Frequent collaborators include Charisma F. Choudhury, Thomas O. Hancock, Gloria Amaris, Chiara Calastri, and Gabriel Nova, indicating active work within a network of researchers specializing in related fields.

Best Publications

  • Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application

    Stephane Hess;David Palma

  • ESTIMATION OF VALUE OF TRAVEL-TIME SAVINGS USING MIXED LOGIT MODELS

    Stephane Hess;Michel Bierlaire;John W. Polak

  • On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice

    Stephane Hess;Kenneth E. Train;John W. Polak

  • Assuring Finite Moments for Willingness to Pay in Random Coefficient Models

    Andrew Daly;Stephane Hess;Kenneth E Train

  • MIXED LOGIT MODELLING OF AIRPORT CHOICE IN MULTI-AIRPORT REGIONS

    Stephane Hess;John W. Polak

  • Applications of simulation methods in environmental and resource economics

    Riccardo Scarpa;Anna Alberini

  • Correlation and scale in mixed logit models

    Stephane Hess;Kenneth Train

  • Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour

    Andrew Daly;Andrew Daly;Stephane Hess;Bhanu Patruni;Dimitris Potoglou;Dimitris Potoglou

  • Modelling airport and airline choice behaviour with the use of stated preference survey data

    Stephane Hess;Thomas Adler;John W. Polak

  • Approximation of bayesian efficiency in experimental choice designs

    Michiel C.J. Bliemer;Michiel C.J. Bliemer;John M. Rose;Stephane Hess;Stephane Hess

  • Handbook of Choice Modelling

    Stephane Hess;Andrew John Daly

  • Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies

    Stephane Hess;Amanda Stathopoulos;Andrew Daly;Andrew Daly

  • Using Conditioning on Observed Choices to Retrieve Individual-Specific Attribute Processing Strategies

    Stephane Hess;David A. Hensher

  • Asymmetric preference formation in willingness to pay estimates in discrete choice models

    Stephane Hess;John M. Rose;David A. Hensher

  • Can Scale and Coefficient Heterogeneity Be Separated in Random Coefficients Models

    Stephane Hess;John M. Rose

  • Not Bored Yet: Revisiting Respondent Fatigue in Stated Choice Experiments

    Stephane Hess;David A. Hensher;Andrew Daly;Andrew Daly

  • Income and distance elasticities of values of travel time savings: New Swiss results

    Kay W. Axhausen;Stephane Hess;Arnd König;Georg Abay

  • Calculating errors for measures derived from choice modelling estimates

    Andrew Daly;Stephane Hess;Gerard de Jong

  • Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago

    Stephane Hess;Nesha Beharry-Borg

  • Non-trading, lexicographic and inconsistent behaviour in stated choice data

    Stephane Hess;John M. Rose;John Polak

  • It's Not That I Don't Care, I Just Don't Care Very Much: Confounding Between Attribute Non-attendance and Taste Heterogeneity

    Stephane Hess;Amanda Stathopoulos;Danny Campbell;Vikki O'Neill

  • A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study

    Stephane Hess;Mark Fowler;Thomas Adler;Aniss Bahreinian

Frequent Co-Authors

John W. Polak
John W. Polak Imperial College London
John M. Rose
John M. Rose University of Sydney
Mark Wardman
Mark Wardman University of Leeds
Caspar G. Chorus
Caspar G. Chorus Delft University of Technology
Juan de Dios Ortúzar
Juan de Dios Ortúzar Pontificia Universidad Católica de Chile
Paul Waddell
Paul Waddell University of California, Berkeley
David C. Carslaw
David C. Carslaw University of York
Richard Dawson
Richard Dawson Newcastle University
TA Theo Arentze
TA Theo Arentze Eindhoven University of Technology
Icek Ajzen
Icek Ajzen University of Massachusetts Amherst

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