Spatial dependence in (origin-destination) air passenger flows

Paula Margaretic, Christine Thomas-Agnan, Romain Doucet

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


We explore the estimation of origin-destination (OD), city-pair, air passenger flows. Our dataset contains 279 cities, worldwide, over 2010-2012. Allowing for two gravity model specifications (log-normal and Poisson), we compare non-spatial and spatial models. We are the first to apply spatial econometric flow models and eigenfunction spatial filtering approaches to air transport. Distinguishing between origin, destination and network effects, we determine the impact and significance of a change in a variable in a given city, on flows originating from and going to that city and originating from a different city and going to an alternative city. Finally, we compare models based on different specifications of the spatial weight matrix.

Original languageEnglish
Pages (from-to)357-380
Number of pages24
JournalPapers in Regional Science
Issue number2
StatePublished - Jun 2017
Externally publishedYes


  • Spatial dependence
  • air passenger flows
  • eigenfunction spatial filtering
  • network effects
  • spatial econometric origin-destination flow model


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