Perceptions on Cultural Ecosystem Services of World Cultural Heritages in Beijing: A cross-cultural Comparison of Social Media-based Online Reviews and Images
DOI:
https://doi.org/10.61173/pyzdhj94Keywords:
cultural ecosystem services, World Heritage Site, cross-cultural tourism, natural-language processing, importance-performance analysisAbstract
This study introduces an innovative approach combining social media text and image comments to quantify the perceptual differences of cultural ecosystem services among various sociocultural groups. For five World Heritage Sites in Beijing, natural-language processing classifies visitor perceptions using social media comments and image data, and importance-performance analysis quantifies the differences between Chinese and international visitor perceptions of these cultural ecosystem services. For the six perceived cultural ecosystem service categories, cross-cultural and local visitors exhibit the same satisfaction trends. In particular, international tourists assign higher importance scores for a given cultural ecosystem service than Chinese tourists. The proposed methods incur a lower cost than traditional methods and acquire large volumes of broad-ranging data. Additionally, the importance of‒the performance analysis data-acquisition method is improved. Moreover, World Heritage Site sustainability can be promoted by understanding the different heritage tourism perceptions of different cultural groups. Furthermore, this study provides valuable insights for decision-makers to improve tourism management and conservation strategies.
References
Cao H., Wang M., Su S., Kang, M. 2022. Explicit quantification of coastal cultural ecosystem services: A novel approach based on the content and sentimental analysis of social media. Ecol. Indic. 137, 108756. https://doi.org/10.1016/ j.ecolind.2022.108756. Cardoso A.S., Renna F., Moreno-Llorca R., Alcaraz-Segura D., Dean&Francis
Tabik S., Ladle R.J., Vaz, A.S. 2022. Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models. Ecosyst. Serv. 54, 101410. https://doi.org/10.1016/j.ecoser.2022.101410. Chen J., Becken S., Stantic, B. 2022). Assessing destination satisfaction by social media: An innovative approach using Importance-Performance Analysis. Ann. Tour. Res. 93 103371. https://doi.org/10.1016/j.annals.2022.103371. Chen X., de Vries S., Assmuth T., Dick J., Hermans T., Hertel O., Jensen A., Jones L., Kabisch S. Lanki, T. Lehmann I.,
Maskell L., Norton L., Reis, S. 2019. Research challenges for cultural ecosystem services and public health in (peri-)urban environments. Sci. Total Environ. 651, 2118–2129. https://doi. org/10.1016/j.scitotenv.2018.09.030.
Cheng M., Wong I., Liu M. 2013. A cross-cultural comparison of World Heritage Site image: The case of hue. Tour. Anal. 18, 707–712. https://doi.org/10.3727/108354213X13673398610853.
Cheng X., Van Damme S., Li L., Uyttenhove P. 2019. Evaluation of cultural ecosystem services: A review of methods. Ecosyst. Serv. 37, 100925. https://doi.org/10.1016/j.ecoser.2019.100925.
Csurgó B., Smith, M. K. 2021. The value of cultural ecosystem services in a rural landscape context. J. Rural Stud. 86, 76–86. https://doi.org/10.1016/j.jrurstud.2021.05.030. Dadvand P., Pujol J., Macia D., Martinez-Vilavella G., Blanco- Hinojo L., Mortamais M., Alvarez-Pedrerol M., Fenoll R., Esnaola M., Dalmau-Bueno A., Lopez-Vicente M., Basagana X.,
Jerrett M., Nieuwenhuijsen M.J., Sunyer J. 2018. The association between lifelong greenspace exposure and 3-dimensional brain magnetic resonance imaging in Barcelona school children. Environ. Health Perspect. 126, 027012. https://doi.org/10.1289/ EHP1876. Dou Y., Liu M., Bakker M., Yu X., Carsjens G.J., De Groot
R., Liu J. 2021. Influence of human interventions on local perceptions of cultural ecosystem services provided by coastal landscapes: Case study of the Huiwen wetland, southern China. Ecosyst. Serv. 50, 101311. https://doi.org/10.1016/ j.ecoser.2021.101311.
Dou Y., Zhen L., De Groot R., Du B., & Yu X. 2017. Assessing the importance of cultural ecosystem services in urban areas of Beijing municipality. Ecosyst. Serv. 24, 79–90. https://doi. org/10.1016/j.ecoser.2017.02.011. Fox N., Graham L.J., Eigenbrod F., Bullock J.M., Parks,
K.E. 2021. Enriching social media data allows a more robust representation of cultural ecosystem services. Ecosyst. Serv. 50, 101328. https://doi.org/10.1016/j.ecoser.2021.101328.
Gai S. 2022. Users’ views on cultural ecosystem services of urban parks: An importance-performance analysis of a case in Beijing, China. Anthropocene, 37, 100323. https://doi. org/10.1016/j.ancene.2022.100323. Ghermandi A., Camacho-Valdez V., Trejo-Espinosa H. 2020. Social media-based analysis of cultural ecosystem services and heritage tourism in a coastal region of Mexico. Tour. Manag. 77, 104002. https://doi.org/10.1016/j.tourman.2019.104002.
Ghermandi A., Depietri Y., Sinclair M. 2022. In the AI of the beholder: A comparative analysis of computer visionassisted characterizations of human-nature interactions in urban green spaces. Landsc. Urban Plan. 217, 104261. https://doi. org/10.1016/j.landurbplan.2021.104261.
Grahn P. 1991. Landscapes in our minds: People’s choice of recreative places in towns. Landsc. Res. 16, 11–19. https://doi. org/10.1080/01426399108706326. Hegetschweiler K.T., de Vries S., Arnberger A., Bell S., Brennan M., Siter N., Olafsson A.S., Voigt A., Hunziker M. 2017. Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures: A review of European studies. Urban For. Urban Green. 21, 48–59. https:// doi.org/10.1016/j.ufug.2016.11.002.
Huai S., Van de Voorde T. 2022. Which environmental features contribute to positive and negative perceptions of urban parks? A cross-cultural comparison using online reviews and Natural Language Processing methods. Landsc. Urban Plan. 218, 104307. https://doi.org/10.1016/j.landurbplan.2021.104307.
Jatnika D., Bijaksana M.A., Suryani A.A. 2019. Word2Vec model analysis for semantic similarities in English words. Procedia Comput. Sci. 157, 160–167. https://doi.org/10.1016/ j.procs.2019.08.153. Karasov O., Heremans S., Külvik M., Domnich A., Burdun
I., Kull A., Helm A., Uuemaa E. 2022. Beyond land cover: How integrated remote sensing and social media data analysis facilitates assessment of cultural ecosystem services. Ecosyst. Serv. 53, 101391. https://doi.org/10.1016/j.ecoser.2021.101391.
Kosanic A., Petzold J. 2020. A systematic review of cultural ecosystem services and human wellbeing. Ecosyst. Serv. 45, 101168. https://doi.org/10.1016/j.ecoser.2020.101168. Liu Z., Wang A., Weber K., Chan E.H.W., Shi W. 2022. Categorisation of cultural tourism attractions by tourist preference using location-based social network data: The case of Central, Hong Kong. Tour. Manag. 90, 104488. https://doi. org/10.1016/j.tourman.2022.104488. López Sánchez, M., Tejedor Cabrera, A., & Linares Gómez
del Pulgar, M. (2020). The potential role of cultural ecosystem services in heritage research through a set of indicators. Ecological Indicators, 117, 106670. https://doi.org/10.1016/ j.ecolind.2020.106670 Madureira H., Nunes F., Oliveira J.V., Cormier L., Madureira T. 2015. Urban residents’ beliefs concerning green space benefits in four cities in France and Portugal. Urban For. Urban Green. 14, 56–64. https://doi.org/10.1016/j.ufug.2014.11.008. Oteros-Rozas E., Martín-López B., Fagerholm N., Bieling C.,
Plieninger T. 2018. Using social media photos to explore the relation between cultural ecosystem services and landscape features across five European sites. Ecol. Indic. 94, 74–86. https://doi.org/10.1016/j.ecolind.2017.02.009.
Richards D.R., Friess D.A. 2015. A rapid indicator of cultural Dean&Francis ecosystem service usage at a fine spatial scale: Content analysis of social media photographs. Ecol. Indic. 53, 187–195. https:// doi.org/10.1016/j.ecolind.2015.01.034.
Richards D.R., Lavorel S. 2022. Integrating social media data and machine learning to analyze scenarios of landscape appreciation. Ecosyst. Serv. 55, 101422. https://doi.org/10.1016/ j.ecoser.2022.101422.
Schrammeijer E.A., van Zanten B.T., Verburg P.H. 2021. Whose park? Crowdsourcing citizen’s urban green space preferences to inform needs-based management decisions. Sustain. Cities Soc. 74, 103249. https://doi.org/10.1016/j.scs.2021.103249.
Teles da Mota V., Pickering C. 2020. Using social media to assess nature-based tourism: Current research and future trends. J. Outdoor Recreat. Tour. 30, 100295. https://doi.org/10.1016/ j.jort.2020.100295. Terkenli T.S., Bell S., Tošković O., Dubljević-Tomićević J., Panagopoulos T., Straupe I., Kristianova K., Straigyte L., O’Brien
L., Živojinović, I. 2020. Tourist perceptions and uses of urban green infrastructure: An exploratory cross-cultural investigation. Urban For. Urban Green. 49, 126624. https://doi.org/10.1016/ j.ufug.2020.126624.
Venkatachalam T., Day J.C., Heron S.F. 2022. A systematic approach for defining thematic groups of World Heritage properties to support the strategic management of threats. Environ. Chall. 8, 100538. https://doi.org/10.1016/ j.envc.2022.100538.
Wan C. 2021. Eliciting users’ preferences and values in urban parks: Evidence from analyzing social media data from Hong Kong. Urban Fore. Urban Green. 62, 127172. https://doi. org/10.1016/j.ufug.2021.127172. Wang Z., Fu H., Jian Y., Qureshi S., Jie H., Wang L. 2022. On the comparative use of social media data and survey data in prioritizing ecosystem services for cost-effective governance. Ecosyst. Serv., 56, 101446. https://doi.org/10.1016/ j.ecoser.2022.101446. Wang Z., Miao Y., Xu M., Zhu Z., Qureshi S., & Chang Q. 2021. Revealing the differences of urban parks’ services to human wellbeing based upon social media data. Urban For. Urban Green. 63, 127233. https://doi.org/10.1016/j.ufug.2021.127233.
Wang, Z., Zhu, Z., Xu, M., & Qureshi, S. (2021). Fine-grained assessment of greenspace satisfaction at regional scale using content analysis of social media and machine learning. Science of The Total Environment, 776, 145908. https://doi.org/10.1016/ j.scitotenv.2021.145908
Weiermair K. 2000. Tourists’ perceptions towards and satisfaction with service quality in the cross‐cultural service encounter: Implications for hospitality and tourism management. Manag. Serv. Qual. 10, 397–409. https://doi. org/10.1108/09604520010351220.
Yan X., Guo J., Lan Y., Cheng X. 2013. A biterm topic model for short texts. Proceedings of the 22nd International Conference on World Wide Web, 1445–1456. https://doi. org/10.1145/2488388.2488514. Zhang K., Tang X., Zhao Y., Huang B., Huang L., Liu M., Luo
E., Li Y., Jiang T., Zhang L., Wang Y., Wan J. 2022. Differing perceptions of the youth and the elderly regarding cultural ecosystem services in urban parks: An exploration of the tour experience. Sci. Total Environ. 821, 153388. https://doi. org/10.1016/j.scitotenv.2022.153388.
Zheng S.-Y, Sun C.-M.,Tan G.-X. 2022.Cultural perception differences between Chinese and foreign tourists about World Heritage Sites based on Text. Journal of Huaqiao University(Philosophy & Social Sciences) 01, 64–77. (in Chinese) https://doi.org/10.16067/j.cnki.35-1049/c.2022.01.009.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 by the authors.

This work is licensed under a Creative Commons Attribution 4.0 International License.
