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Designing tourist experiences amidst air pollution: A spatial analytical approach using social media

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  • Zhang, Xiaowei
  • Yang, Yang
  • Zhang, Yi
  • Zhang, Zili

Abstract

In this study, we propose a spatial analytical framework to better understand tourist experiences from geotagged social media data in Beijing in 2013. Based on text analytics, deep learning classifiers, and econometric analysis, we investigated the effects of air pollution on tourists' experiences in terms of their behavioral, emotional, and health outcomes. Results indicate that a higher PM2.5 concentration led to a broader travel scope within Beijing with activities closer to the city center. Tourists reported fewer positive sentiments and more health issues due to increasing air pollution. Further, a comparison of residents and tourists revealed differential pollution sensitivity and adaptation strategies. We also developed a Web-GIS–based platform integrating various models to enable tourism planners to design better tourism experiences.

Suggested Citation

  • Zhang, Xiaowei & Yang, Yang & Zhang, Yi & Zhang, Zili, 2020. "Designing tourist experiences amidst air pollution: A spatial analytical approach using social media," Annals of Tourism Research, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:anture:v:84:y:2020:i:c:s0160738320301432
    DOI: 10.1016/j.annals.2020.102999
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    References listed on IDEAS

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    Cited by:

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    2. Gao, Yanyan & Zhang, Lin & Nan, Yongqing, 2023. "Travel to breathe the fresh air? Big data evidence on the short-term migration effect of air pollution from China," China Economic Review, Elsevier, vol. 82(C).
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    5. Wenjia-Jasmine Ruan & Junjae Lee & Hakjun Song, 2021. "Understanding Tourist Behavioural Intention When Faced with Smog Pollution: Focus on International Tourists to Beijing," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    6. Fengsheng Chien & YunQian Zhang & Arshian Sharif & Muhammad Sadiq & Minh Vu Hieu, 2023. "Does air pollution affect the tourism industry in the USA? Evidence from the quantile autoregressive distributed lagged approach," Tourism Economics, , vol. 29(5), pages 1164-1180, August.
    7. Danny Castillo-Vizuete & Alex Gavilanes-Montoya & Carlos Chávez-Velásquez & Paúl Benalcázar-Vergara & Carlos Mestanza-Ramón, 2021. "Design of Nature Tourism Route in Chimborazo Wildlife Reserve, Ecuador," IJERPH, MDPI, vol. 18(10), pages 1-18, May.
    8. Camelia Surugiu & Marius-Răzvan Surugiu & Cătălin Grădinaru, 2023. "Targeting Creativity Through Sentiment Analysis: A Survey on Bucharest City Tourism," SAGE Open, , vol. 13(2), pages 21582440231, April.
    9. Cristina Franciele & Thays Christina Domareski Ruiz, 2021. "Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review," Post-Print hal-03373984, HAL.

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