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Investigating the impact of catchment areas of airports on estimating air travel demand: A case study of regional Western Australia

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  • Zhou, Heng
  • Xia, Jianhong (Cecilia)
  • Luo, Qingzhou
  • Nikolova, Gabi
  • Sun, Jie
  • Hughes, Brett
  • Kelobonye, Keone
  • Wang, Hui
  • Falkmer, Torbjorn

Abstract

The aviation industry in Western Australia (WA) plays a vital role in the economic and social development of the state. However, accurate forecasts for passenger movements are not available to policy makers due to lack of relevant air travel demand information. The objective of this study is to estimate the domestic air passenger seat numbers between airport-pairs based on online flight information in regional WA based on a gravity model using Poisson pseudo-maximum likelihood estimation (PPML). Particularly, we aim to investigate the impact of distance, airfare, catchment areas, population, tourism and mining sector on forecasting air passenger seat numbers in order to inform and guide policy making.

Suggested Citation

  • Zhou, Heng & Xia, Jianhong (Cecilia) & Luo, Qingzhou & Nikolova, Gabi & Sun, Jie & Hughes, Brett & Kelobonye, Keone & Wang, Hui & Falkmer, Torbjorn, 2018. "Investigating the impact of catchment areas of airports on estimating air travel demand: A case study of regional Western Australia," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 91-103.
    • Handle: RePEc:eee:jaitra:v:70:y:2018:i:c:p:91-103
    DOI: 10.1016/j.jairtraman.2018.05.001
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    Cited by:

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    3. Tillmann, Andreas M. & Joormann, Imke & Ammann, Sabrina C.L., 2023. "Reproducible air passenger demand estimation," Journal of Air Transport Management, Elsevier, vol. 112(C).
    4. Tirtha, Sudipta Dey & Bhowmik, Tanmoy & Eluru, Naveen, 2023. "Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach," Journal of Air Transport Management, Elsevier, vol. 106(C).
    5. Jingjing Hao & Ling Zhang & Xiaofeng Ji & Xiaolong Wu & Lan Liu, 2020. "Investigating the Accessibility between Civil Airports and Tourist Locations in Tourist Cities in Yunnan Province, China," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    6. Wang, Sen & Kong, Ningning Nicole & Gao, Yi, 2024. "Use mobile location data to infer airport catchment areas and calibrate Huff gravity model in the New York metropolitan area," Journal of Transport Geography, Elsevier, vol. 114(C).
    7. Dey Tirtha, Sudipta & Bhowmik, Tanmoy & Eluru, Naveen, 2022. "An airport level framework for examining the impact of COVID-19 on airline demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 169-181.
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    10. Teixeira, Filipe Marques & Derudder, Ben, 2021. "Spatio-temporal dynamics in airport catchment areas: The case of the New York Multi Airport Region," Journal of Transport Geography, Elsevier, vol. 90(C).

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