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Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression

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  • Pagliara, Francesca
  • Mauriello, Filomena

Abstract

In this paper the impact of High Speed Rail (HSR) on the tourism market is analysed. The original and added value of this contribution is in the proposed methodology, which considers the Geographically Weighted Regression technique, incorporated within a Poisson model. This approach allows measuring the relationship between independent and dependent variables with respect to space. The case study comprises 99 Italian provinces, analysed in the time period 2006–2016. The main outcome of the analysis is that HSR affects tourists 'choices of a given destination.

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  • Pagliara, Francesca & Mauriello, Filomena, 2020. "Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 780-790.
    • Handle: RePEc:eee:transa:v:132:y:2020:i:c:p:780-790
    DOI: 10.1016/j.tra.2019.12.025
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    References listed on IDEAS

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    1. Button, Kenneth, 2012. "Is there any economic justification for high-speed railways in the United States?," Journal of Transport Geography, Elsevier, vol. 22(C), pages 300-302.
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    5. Guirao, Begoña & Campa, Juan Luis, 2015. "The effects of tourism on HSR: Spanish empirical evidence derived from a multi-criteria corridor selection methodology," Journal of Transport Geography, Elsevier, vol. 47(C), pages 37-46.
    6. Pagliara, Francesca & Mauriello, Filomena & Garofalo, Antonio, 2017. "Exploring the interdependences between High Speed Rail systems and tourism: Some evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 300-308.
    7. Campa, Juan Luis & López-Lambas, María Eugenia & Guirao, Begoña, 2016. "High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience," Journal of Transport Geography, Elsevier, vol. 57(C), pages 44-54.
    8. Givoni, Moshe & Banister, David, 2012. "Speed: the less important element of the High-Speed Train," Journal of Transport Geography, Elsevier, vol. 22(C), pages 306-307.
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    Cited by:

    1. Youlin Chen & Lei Wang & Peiheng Yu & Ning Nie & Xuan Yang & Yiyun Chen, 2023. "Spatiotemporal Linkages between Administrative Division Adjustment and Urban Form: Political Drivers of the Urban Polycentric Structure," Land, MDPI, vol. 12(9), pages 1-27, August.
    2. Francesca Pagliara & Filomena Mauriello & Lucia Russo, 2020. "A Regression Tree Approach for Investigating the Impact of High Speed Rail on Tourists’ Choices," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    3. Francesca Pagliara & Filomena Mauriello & Yin Ping, 2021. "Analyzing the Impact of High-Speed Rail on Tourism with Parametric and Non-Parametric Methods: The Case Study of China," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    4. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    5. Mariano Gallo & Rosa Anna La Rocca, 2022. "The Impact of High-Speed Rail Systems on Tourist Attractiveness in Italy: Regression Models and Numerical Results," Sustainability, MDPI, vol. 14(21), pages 1-33, October.
    6. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    7. Jing Fan & Hironori Kato & Xinghua Liu & Ye Li & Changxi Ma & Liang Zhou & Mingzhang Liang, 2022. "High-Speed Railway Network Development, Inter-County Accessibility Improvements, and Regional Poverty Alleviation: Evidence from China," Land, MDPI, vol. 11(10), pages 1-22, October.
    8. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    9. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    10. Xu, Bin & Lin, Boqiang, 2022. "Exploring the spatial distribution of distributed energy in China," Energy Economics, Elsevier, vol. 107(C).
    11. Pengxia Shen & Ping Yin & Bingjie Niu, 2023. "Assessing the Combined Effects of Transportation Infrastructure on Regional Tourism Development in China Using a Spatial Econometric Model (GWPR)," Land, MDPI, vol. 12(1), pages 1-18, January.
    12. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.

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