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Spatial dependence in (origin-destination) air passenger flows

Author

Listed:
  • 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)

  • Christine Thomas-Agnan

    (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)

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.

Suggested Citation

  • Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Post-Print halshs-01698556, HAL.
    • Handle: RePEc:hal:journl:halshs-01698556
    DOI: 10.1111/pirs.12189
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01698556
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    Cited by:

    1. Paula Margaretic & Sebastián Becerra, 2017. "Dispersed Information and Sovereign Risk Premia," Working Papers Central Bank of Chile 808, Central Bank of Chile.
    2. Wei Yu & Xiaofei Ye & Jun Chen & Xingchen Yan & Tao Wang, 2020. "Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    3. Dardati, Evangelina & Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2024. "Climate, Conflict and International Migration," TSE Working Papers 24-1575, Toulouse School of Economics (TSE).
    4. Dapeng Zhang, 2024. "Examining the Effects of Confirmed COVID-19 Cases and State Government Policies on Passenger Air Traffic Recovery by Proposing an OD Spatial Temporal Model," Networks and Spatial Economics, Springer, vol. 24(2), pages 341-359, June.
    5. Hu, Xinlei & Wang, Xiaokun (Cara) & Ni, Linglin & Shi, Feng, 2022. "The impact of intercity economic complementarity on HSR volume in the context of megalopolization," Journal of Transport Geography, Elsevier, vol. 98(C).
    6. Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
    7. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    8. Birolini, Sebastian & Cattaneo, Mattia & Malighetti, Paolo & Morlotti, Chiara, 2020. "Integrated origin-based demand modeling for air transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).

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