Article

Spatial dependence in (origin-destination) air passenger flows

Romain Doucet, Paula Margaretic, Christine Thomas-Agnan et Quentin Villotta

Résumé

We explore the estimation of origin-destination (OD), city-pair, air passengers, in order to explicitly take into account spatial autocorrelation. To our knowledge, we are the first to test the presence of spatial autocorrelation and apply spatial econometric OD flow models to air transport. Drawing on a world sample of 279 cities, over 2010-2012, we find significant evidence of spatial autocorrelation in air passenger flows. Thus, contrary to common practice, we need to incorporate the spatial structure present in the data, when estimating OD air passengers. Importantly, failure to do it, may lead to inefficient estimated coefficients and prediction bias.

Mots-clés

Spatial autocorrelation; spatial econometric origin-destination flow model; air passenger flows;

Référence

Romain Doucet, Paula Margaretic, Christine Thomas-Agnan et Quentin Villotta, « Spatial dependence in (origin-destination) air passenger flows », Papers in Regional Science, vol. 96, n° 2, juin 2017, p. 357–380.

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Publié dans

Papers in Regional Science, vol. 96, n° 2, juin 2017, p. 357–380