Spatial dependence in (origin-destination) air passenger flows

Paula Margaretic, Christine Thomas-Agnan and Romain Doucet
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Paula Margaretic: TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse
Romain Doucet: IFMK Brest - Institut de formation en masso-kinésithérapie - UBO - Université de Brest - CHRU Brest - Centre Hospitalier Régional Universitaire de Brest

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Abstract: 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.

Keywords: Spatial dependence"; " spatial econometric"; " origin-destination"; " flow model"; " eigenfunction"; " spatial filtering"; " air passenger flows network effects (search for similar items in EconPapers)
Date: 2017-06
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01698556v1
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Citations: View citations in EconPapers (5)

Published in Papers in Regional Science, 2017, 96 (2), pp.357 - 380. ⟨10.1111/pirs.12189⟩

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Journal Article: Spatial dependence in (origin-destination) air passenger flows (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01698556

DOI: 10.1111/pirs.12189

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