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Spatial dependence in (origin‐destination) air passenger flows
Author(s) -
Margaretic Paula,
ThomasAgnan Christine,
Doucet Romain
Publication year - 2017
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/pirs.12189
Subject(s) - gravity model of trade , spatial dependence , econometrics , spatial econometrics , geography , poisson distribution , distance decay , spatial network , econometric model , computer science , economic geography , statistics , mathematics , business , geometry , international trade
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.