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Estimating the Spatial Heterogeneity and Seasonal Differences of the Contribution of Tourism Industry Activities to Night Light Index by POI

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  • Juan Wei

    (College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China
    National Dongmen Forest Farm of Guangxi, Chongzuo 532199, China)

  • Yongde Zhong

    (College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China
    National Forestry and Grassland Administration State Forestry Administration Engineering Research Center for Forest Tourism, Changsha 410004, China)

  • Jingling Fan

    (College of Marine Culture and Law, Shanghai Ocean University, Shanghai 201306, China)

Abstract

The spatial distribution of tourism has a profound impact on its operational efficiency and geographical relevance. Point of interest (POI), as a kind of spatial data shared by subject and object, can reflect the spatial distribution form and function of tourism geographical objects under the all-for-one tourism policy. Continuous satellite observation and in-depth study of night lights pave the way to clarify human activities and socio-economic dynamics. The purpose of this paper is to investigate the seasonal changes of night light images and their correlation with tourism in 122 counties (cities, districts) of Hunan Province. We obtained night earth observation data (seasonality) and POI in 2019 and processed them by Geographic Information System and statistical analysis (ordinary least squares (OLS) and geographically weighted regression (GWR)). The results show that the luminous radiation intensity is highly correlated with the POI of tourism activities. The POI of different tourism activities in different regions shows obvious spatial heterogeneity and seasonal differences, which is the result of the comprehensive effect of tourism resource distribution and social environment in Hunan Province. GWR has proved to be a more effective tool. It provides a new method and perspective for tourism research and especially reveals the geographical spatial differences of tourism activities, which is helpful to study the spatial distribution and seasonality of tourism at the county level. In addition, the spatial evaluation of the contribution of tourism and luminous radiation can provide reference and suggestions for relevant departments to formulate tourism night protection measures.

Suggested Citation

  • Juan Wei & Yongde Zhong & Jingling Fan, 2022. "Estimating the Spatial Heterogeneity and Seasonal Differences of the Contribution of Tourism Industry Activities to Night Light Index by POI," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:692-:d:720693
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    Citations

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    Cited by:

    1. Xueling Wu & Ruiqi Mao & Xiaojia Guo, 2022. "Equilibrium of Tiered Healthcare Resources during the COVID-19 Pandemic in China: A Case Study of Taiyuan, Shanxi Province," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    2. Pengpeng Chang & Xueru Pang & Xiong He & Yiting Zhu & Chunshan Zhou, 2022. "Exploring the Spatial Relationship between Nighttime Light and Tourism Economy: Evidence from 31 Provinces in China," Sustainability, MDPI, vol. 14(12), pages 1-22, June.

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