• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

Pels, E., Nijkamp, P. and Rietveld, P. (2001). Airport and airline choice in a multiple airport system: an empirical analysis for the San Fransisco Bay area Regional Studies, 35(1):1--9.

  • Affiliated author
    Eric Pels
  • Publication year
    2001
  • Journal
    Regional Studies
View publication

Pels E. Nijkamp P. and Rietveld P. (2001) Airport and airline choice in a multiple airport region: an empirical analysis for the San Francisco Bay area, Reg. Studies 35, 1-9. In this paper a nested logit model is used to describe passenger preferences concerning airports and airlines. A statistical model for the passengers' sequential choice of airport and airline is calibrated. It appears the nested multinomial logit model, with airports as the common elements in the nests, is statistically preferable to the 'standard' multinomial logit model. Frequency and access time to the airport are all significant. Separate models are estimated for business and leisure travellers, but there appear to be only small differences.