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[4]. Mou, N., Zheng, Y., Makkonen, T., Yang, T., Tang, J., Song, Y.: Tourists’ digital footprint: The spatial patterns of tourist flows in Qingdao, China. Tour. Manag. 81, 104151 (2020). https://doi.org/10.1016/j.tourman.2020.104151.
[5]. Silva, D., Bento, L.S.: The impact of TikTok on an online business strategy. The case of e-Bloom. (2022).
[6]. Warnken, J., Russell, R., Faulkner, B.: Condominium developments in maturing destinations: potentials and problems of long-term sustainability. Tour. Manag. 24, 155–168 (2003). https://doi.org/10.1016/S0261-5177(02)00063-8.
[7]. Rátz, T., Smith, M., Michalkó, G.: New Places in Old Spaces: Mapping Tourism and Regeneration in Budapest. Tour. Geogr. 10, 429–451 (2008). https://doi.org/10.1080/14616680802434064.
[8]. Bull, P.J., Church, A.: The hotel and catering industry of Great Britain during the 1980s: sub-regional employment change, specialization and dominance. Hotel Cater. Ind. G. B. 1980s Sub-Reg. Employ. Change Spec. Domin. 248–269 (1994).
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[10]. Liu, F., Zhang, J., Zhang, J., Chen, D., Liu, Z., Lu, S.: Roles and functions of tourism destinations in tourism region of south anhui: A tourist flow network perspective. Chin. Geogr. Sci. 22, 755–764 (2012). https://doi.org/10.1007/s11769-012-0557-6.
[11]. Baggio, R., Scott, N., Cooper, C.: Network science: A Review Focused on Tourism. Ann. Tour. Res. 37, 802–827 (2010). https://doi.org/10.1016/j.annals.2010.02.008.
[12]. Yang, Y., Wong, K.K.F.: Spatial Distribution of Tourist Flows to China’s Cities. Tour. Geogr. 15, 338–363 (2013). https://doi.org/10.1080/14616688.2012.675511.
[13]. Yubero, C., Condeço-Melhorado, A.M., García-Hernández, M., Fontes, A.C.: Comparing spatial and content analysis of residents and tourists using Geotagged Social Media Data. The Historic Neighbourhood of Alfama (Lisbon), a case study. Análisis espacial y de contenido comparado entre residentes y turistas con el uso de datos geolocalizados de redes sociales. El caso del barrio histórico de Alfama (Lisboa). (2021). https://doi.org/10.14198/INTURI2021.22.5.
[14]. Li, J., Xu, L., Tang, L., Wang, S., Li, L.: Big data in tourism research: A literature review. Tour. Manag. 68, 301–323 (2018). https://doi.org/10.1016/j.tourman.2018.03.009.
[15]. Önder, I., Koerbitz, W., Hubmann-Haidvogel, A.: Tracing Tourists by Their Digital Footprints: The Case of Austria. J. Travel Res. 55, 566–573 (2016). https://doi.org/10.1177/0047287514563985.
[16]. Yeh, A.G.-O., Chen, Z.: From cities to super mega city regions in China in a new wave of urbanisation and economic transition: Issues and challenges. Urban Stud. 57, 636–654 (2020). https://doi.org/10.1177/0042098019879566.
[17]. Hui, E.C.M., Li, X., Chen, T., Lang, W.: Deciphering the spatial structure of China’s megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making. Cities. 105, 102168 (2020). https://doi.org/10.1016/j.cities.2018.10.011.
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Cite this article
Gu,X.;Lin,S. (2023). Comparing the Spatial Distribution of Popular Destinations in the Era of Mobile Internet: Case Studies of 9 Cities in the Pearl River Delta. Communications in Humanities Research,4,578-589.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Yang, Q., Liu, Y., Yang, L.: Commercial gentrification in China and its distribution, development, and correlates: The case of Chengdu. Front. Environ. Sci. 10, 992092 (2022). https://doi.org/10.3389/fenvs.2022.992092.
[2]. Song, H., Qiu, R.T.R., Park, J.: A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting. Ann. Tour. Res. 75, 338–362 (2019). https://doi.org/10.1016/j.annals.2018.12.001.
[3]. Ma, X., Yang, Z., Zheng, J.: Analysis of spatial patterns and driving factors of provincial tourism demand in China. Sci. Rep. 12, 2260 (2022). https://doi.org/10.1038/s41598-022-04895-8.
[4]. Mou, N., Zheng, Y., Makkonen, T., Yang, T., Tang, J., Song, Y.: Tourists’ digital footprint: The spatial patterns of tourist flows in Qingdao, China. Tour. Manag. 81, 104151 (2020). https://doi.org/10.1016/j.tourman.2020.104151.
[5]. Silva, D., Bento, L.S.: The impact of TikTok on an online business strategy. The case of e-Bloom. (2022).
[6]. Warnken, J., Russell, R., Faulkner, B.: Condominium developments in maturing destinations: potentials and problems of long-term sustainability. Tour. Manag. 24, 155–168 (2003). https://doi.org/10.1016/S0261-5177(02)00063-8.
[7]. Rátz, T., Smith, M., Michalkó, G.: New Places in Old Spaces: Mapping Tourism and Regeneration in Budapest. Tour. Geogr. 10, 429–451 (2008). https://doi.org/10.1080/14616680802434064.
[8]. Bull, P.J., Church, A.: The hotel and catering industry of Great Britain during the 1980s: sub-regional employment change, specialization and dominance. Hotel Cater. Ind. G. B. 1980s Sub-Reg. Employ. Change Spec. Domin. 248–269 (1994).
[9]. Hu, Y., Gao, S., Janowicz, K., Yu, B., Li, W., Prasad, S.: Extracting and understanding urban areas of interest using geotagged photos. Comput. Environ. Urban Syst. 54, 240–254 (2015). https://doi.org/10.1016/j.compenvurbsys.2015.09.001.
[10]. Liu, F., Zhang, J., Zhang, J., Chen, D., Liu, Z., Lu, S.: Roles and functions of tourism destinations in tourism region of south anhui: A tourist flow network perspective. Chin. Geogr. Sci. 22, 755–764 (2012). https://doi.org/10.1007/s11769-012-0557-6.
[11]. Baggio, R., Scott, N., Cooper, C.: Network science: A Review Focused on Tourism. Ann. Tour. Res. 37, 802–827 (2010). https://doi.org/10.1016/j.annals.2010.02.008.
[12]. Yang, Y., Wong, K.K.F.: Spatial Distribution of Tourist Flows to China’s Cities. Tour. Geogr. 15, 338–363 (2013). https://doi.org/10.1080/14616688.2012.675511.
[13]. Yubero, C., Condeço-Melhorado, A.M., García-Hernández, M., Fontes, A.C.: Comparing spatial and content analysis of residents and tourists using Geotagged Social Media Data. The Historic Neighbourhood of Alfama (Lisbon), a case study. Análisis espacial y de contenido comparado entre residentes y turistas con el uso de datos geolocalizados de redes sociales. El caso del barrio histórico de Alfama (Lisboa). (2021). https://doi.org/10.14198/INTURI2021.22.5.
[14]. Li, J., Xu, L., Tang, L., Wang, S., Li, L.: Big data in tourism research: A literature review. Tour. Manag. 68, 301–323 (2018). https://doi.org/10.1016/j.tourman.2018.03.009.
[15]. Önder, I., Koerbitz, W., Hubmann-Haidvogel, A.: Tracing Tourists by Their Digital Footprints: The Case of Austria. J. Travel Res. 55, 566–573 (2016). https://doi.org/10.1177/0047287514563985.
[16]. Yeh, A.G.-O., Chen, Z.: From cities to super mega city regions in China in a new wave of urbanisation and economic transition: Issues and challenges. Urban Stud. 57, 636–654 (2020). https://doi.org/10.1177/0042098019879566.
[17]. Hui, E.C.M., Li, X., Chen, T., Lang, W.: Deciphering the spatial structure of China’s megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making. Cities. 105, 102168 (2020). https://doi.org/10.1016/j.cities.2018.10.011.
[18]. Statistical Bulletin of National Economic and Social Development. (2021).