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The effects of tourism on HSR: Spanish empirical evidence derived from a multi-criteria corridor selection methodology

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  • Guirao, Begoña
  • Campa, Juan Luis

Abstract

The exorbitant cost of new High-Speed Rail (HSR) lines requires a selection methodology to define which HSR corridors within a network should be built first, and the most suitable evaluation tool appears to be the multi-criteria approach. In any corridor-ranking methodology, and especially in countries with high tourism attractiveness, tourism impacts on HSR should be considered as a variable.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:47:y:2015:i:c:p:37-46
    DOI: 10.1016/j.jtrangeo.2015.07.010
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    References listed on IDEAS

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    Cited by:

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    3. 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.
    4. 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.
    5. Andrea Pellegrini & Stefano Scagnolari, 2021. "The relationship between length of stay and land transportation mode in the tourism sector: A discrete–continuous framework applied to Swiss data," Tourism Economics, , vol. 27(1), pages 243-259, February.
    6. Rehman Khan, Syed Abdul & Qianli, Dong & SongBo, Wei & Zaman, Khalid & Zhang, Yu, 2017. "Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 125-134.
    7. Woraphon Yamaka & Xuefeng Zhang & Paravee Maneejuk, 2021. "Analyzing the Influence of Transportations on Chinese Inbound Tourism: Markov Switching Penalized Regression Approaches," Mathematics, MDPI, vol. 9(5), pages 1-23, March.
    8. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    9. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & López-Valpuesta, Lourdes & Pedregal-Tercero, Diego J. & Garrido-Michó, José M., 2018. "High Speed Rail: Fast tracking tourism in the EU?," Annals of Tourism Research, Elsevier, vol. 71(C), pages 64-66.
    10. Hussain, Muhammad Noshab, 2023. "Evaluating the impact of air transportation, railway transportation, and trade openness on inbound and outbound tourism in BRI countries," Journal of Air Transport Management, Elsevier, vol. 106(C).
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    12. Campa, Juan Luis & Arce, Rosa & López-Lambas, María Eugenia & Guirao, Begoña, 2018. "Can HSR improve the mobility of international tourists visiting Spain? Territorial evidence derived from the Spanish experience," Journal of Transport Geography, Elsevier, vol. 73(C), pages 94-107.
    13. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    14. Deng, Taotao & Gan, Chen & Du, Huiping & Hu, Yukun & Wang, Dandan, 2021. "Do high speed rail configurations matter to tourist arrivals? Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 90(C).

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