Spatial dependence in (origin-destination) air passenger flows

Paula Margaretic (1) , Christine Thomas-Agnan (2) , Romain Doucet (3)

1 TSM - Toulouse School of Management Research
2 UT Capitole - Université Toulouse Capitole
3 IFMK Brest - Institut de formation en masso-kinésithérapie

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.

Mots clés: Spatial dependence"; " spatial econometric"; " origin-destination"; " flow model"; " eigenfunction"; " spatial filtering"; " air passenger flows network effects

Domaines: Gestion et management

Paula Margaretic, Christine Thomas-Agnan, Romain Doucet. Spatial dependence in (origin-destination) air passenger flows. Papers in Regional Science, 2017, 96 (2), pp.357 - 380. ⟨10.1111/pirs.12189⟩. ⟨halshs-01698556⟩