Aligning online images and realities beyond the hype for sustainable heritage tourism
Source abstract
Abstract
Social media promotions in urban historic districts create perception gaps (DIGs) between idealized online images (ODI) and on-site experiences (OPI), undermining tourist satisfaction. This study develops and applies an Integrated Diagnostic and Prioritization (IDP) Framework, which combines the SGS (Satisfaction-Gap Strategy) Matrix and the OIV (Optimization Index for Variables) Index, to generate actionable management strategies. Using NLP (UGC) and PLS-SEM (surveys) on Harbin’s Zhongyang Street, the study confirms a significant asymmetric and dimensionally heterogeneous impact, where negative gaps are more detrimental to satisfaction than positive gaps, particularly in the Tourist Attractions (TA) dimension. The framework’s application reinforces that the core heritage experience is far more critical than optimizing basic functional services, identifying “Integration of Natural/Cultural Resources” (TA3) and “Street/Pedestrian Environment” (TE1) as top priorities. The IDP framework is offered as a replicable, data-driven diagnostic tool for managers to align online “hype” with on-site reality.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Diverse Aspects of Tourism Research · Digital Marketing and Social Media · Cultural Heritage Management and Preservation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (73)
Show source-provided references
1. Wang, M.-Y., Li, Y.-Q., Ruan, W.-Q., Zhang, S.-N. & Li, R. Influencing factors and formation process of cultural inheritance-based innovation at heritage tourism destinations. Tour. Manag. 100, 104799 (2024).10.1016/j.tourman.2023.104799 ↗
2. Yang, Z.-T., Ruan, W.-Q., Zhang, S.-N. & Cheng, Z.-C. Revealing the metaphorical code: heterogeneous effects and mechanisms of tourism advertising style in cultural heritage sites. J. Hosp. Tour. Manag. 59, 263–275 (2024).10.1016/j.jhtm.2024.05.001 ↗
3. Cao, Q., Zhang, J., Li, C. & So, K. K. F. From tradition to transaction: the effect of commercialization on tourism experience in cultural heritage attractions. J. Hosp. Tour. Manag. 63, 98–111 (2025).10.1016/j.jhtm.2025.03.006 ↗
4. Zou, Y., Yang, Y., Li, Y., Liao, J. & Xiao, H. How do tourists’ heritage spatial perceptions affect place identity? A case study of Quanzhou, China. J. Hosp. Tour. Manag. 55, 460–470 (2023).10.1016/j.jhtm.2023.05.018 ↗
5. Wang, F., Mao, W., Dong, Y. & Zhu, X. Implications for cultural landscape in a Chinese context: geo-analysis of spatial distribution of historic sites. Chin. Geogr. Sci. 28, 167–182 (2018).10.1007/s11769-017-0915-5 ↗
6. Zhang, Y. & Han, Y. Vitality evaluation of historical and cultural districts based on the values dimension: districts in Beijing City, China. Herit. Sci. 10, 1–15 (2022).10.1186/s40494-022-00776-5 ↗
7. Bhandari, K. Tourism and commercial nationalism. Ann. Tour. Res. 95, 103443 (2022).10.1016/j.annals.2022.103443 ↗
8. Amir, S., Osman, M. M., Bachok, S. & Ibrahim, M. Sustaining local community economy through tourism: Melaka UNESCO World Heritage City. Proc. Environ. Sci. 28, 443–452 (2015).10.1016/j.proenv.2015.07.054 ↗
9. Song, G. U. O., Meiling, H. & Zhi, L. I. Analysis and enlightenment on continuation of spatial image of traditional streets and lanes in historical urban area: a case study of spatial design of traditional streets and lanes in Xinagan South Road of Ganzhou City. J. Landscape Res. 12, 101–104 (2020).
10. Teng, Y., Yang, S., Huang, Y. & Barker, N. Research on space optimization of historic blocks on Jiangnan from the perspective of place construction. Appl. Math. Nonlinear Sci. 6, 201–210 (2021).10.2478/amns.2021.1.00019 ↗
11. Chhabra, D., Healy, R. & Sills, E. Staged authenticity and heritage tourism. Ann. Tour. Res. 30, 702–719 (2003).10.1016/S0160-7383(03)00044-6 ↗
12. Hunt, J. D. Image as a factor in tourism development. J. Travel Res. 13, 1–7 (1975).10.1177/004728757501300301 ↗
13. Crompton, J. L. An assessment of the image of Mexico as a vacation destination and the influence of geographical location upon that image. J. Travel Res. 17, 18–23 (1979).10.1177/004728757901700404 ↗
14. Mak, A. H. N. Online destination image: comparing national tourism organisation’s and tourists’ perspectives. Tour. Manag. 60, 280–297 (2017).10.1016/j.tourman.2016.12.012 ↗
15. Filieri, R., Alguezaui, S. & McLeay, F. Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tour. Manag. 51, 174–185 (2015).10.1016/j.tourman.2015.05.007 ↗
16. Xiang, Z. & Gretzel, U. Role of social media in online travel information search. Tour. Manag. 31, 179–188 (2010).10.1016/j.tourman.2009.02.016 ↗
17. Marine-Roig, E. Destination image analytics through traveller-generated content. Sustainability 11, 3392 (2019).10.3390/su11123392 ↗
18. Sun, M., Ryan, C. & Pan, S. Using Chinese travel blogs to examine perceived destination image: the case of New Zealand. J. Travel Res. 54, 543–555 (2015).10.1177/0047287514522882 ↗
19. Huang, Z. J., Lin, M. S. & Chen, J. Tourism experiences co-created on social media. Tour. Manag. 105, 104940 (2024).10.1016/j.tourman.2024.104940 ↗
20. Blommaert, J. Conviviality and collectives on social media: Virality, memes, and new social structures. Multiling. Margins 21 31–45 https://www.academia.edu/15620712/Conviviality_and_collectives_on_social_media_Virality_memes_and_new_social_structures.
21. Wu, S. & Peng, X. How can short travel videos facilitate tourists’ decision-making about traveling to cultural heritage destinations? Evidence from the Wudang Mountain Complex. ASIA Pac. J. Mark. Logist. https://doi.org/10.1108/APJML-05-2024-0577 (2025).10.1108/APJML-05-2024-0577 ↗
22. BBC News. Lithuania tourism advert used fake photos. https://www.bbc.com/news/world-europe-38928864 (2017).
23. Chen, M., Zhang, J., Xie, Z. & Niu, J. Online low-key conspicuous behavior of fashion luxury goods: the antecedents and its impact on consumer happiness. J. Consum. Behav. 20, 148–159 (2021).10.1002/cb.1863 ↗
24. Xie, C., Yu, J., Huang, S. S., Zhang, K. & Ou Yang, D. The ‘magic of filter’ effect: Examining value co-destruction of social media photos in destination marketing. Tour. Manag. 98, 104749 (2023).10.1016/j.tourman.2023.104749 ↗
25. Assaker, G., Vinzi, V. E. & O’Connor, P. Examining the effect of novelty seeking, satisfaction, and destination image on tourists’ return pattern: a two factor, non-linear latent growth model. Tour. Manag. 32, 890–901 (2011).10.1016/j.tourman.2010.08.004 ↗
26. Baloglu, S. & McCleary, K. W. A model of destination image formation. Ann. Tour. Res. 26, 868–897 (1999).10.1016/S0160-7383(99)00030-4 ↗
27. Marine-Roig, E. & Ferrer-Rosell, B. Measuring the gap between projected and perceived destination images of Catalonia using compositional analysis. Tour. Manag. 68, 236–249 (2018).10.1016/j.tourman.2018.03.020 ↗
28. Martín-Santana, J. D., Beerli-Palacio, A. & Nazzareno, P. A. Antecedents and consequences of destination image gap. Ann. Tour. Res. 62, 13–25 (2017).10.1016/j.annals.2016.11.001 ↗
29. Parasuraman, A., Zeithaml, V. A. & Berry, L. L. A conceptual model of service quality and its implications for future research. J. Mark. 49, 41–50 (1985).10.1177/002224298504900403 ↗
30. Chon, K.-S. Tourism destination image modification process: marketing implications. Tour. Manag. 12, 68–72 (1991).10.1016/0261-5177(91)90030-W ↗
31. Lee, J.-S. & Park, S. A cross-cultural anatomy of destination image: an application of mixed-methods of UGC and survey. Tour. Manag. 98, 104746 (2023).10.1016/j.tourman.2023.104746 ↗
32. Li, Y., He, Z., Li, Y., Huang, T. & Liu, Z. Keep it real: assessing destination image congruence and its impact on tourist experience evaluations. Tour. Manag. 97, 104736 (2023).10.1016/j.tourman.2023.104736 ↗
33. Smith, W. W., Li, X. R., Pan, B., Witte, M. & Doherty, S. T. Tracking destination image across the trip experience with smartphone technology. Tour. Manag. 48, 113–122 (2015).10.1016/j.tourman.2014.04.010 ↗
34. Xu, D., Pearce, P. L. & Chen, T. Deconstructing tourist scams: a social-practice-theory perspective. Tour. Manag. 82, 104186 (2021).10.1016/j.tourman.2020.104186 ↗
35. Zhang, H., Wu, Y. & Buhalis, D. A model of perceived image, memorable tourism experiences and revisit intention. J. Destin. Mark. Manag. 8, 326–336 (2018).
36. Stylos, N., Vassiliadis, C. A., Bellou, V. & Andronikidis, A. Destination images, holistic images and personal normative beliefs: predictors of intention to revisit a destination. Tour. Manag. 53, 40–60 (2016).10.1016/j.tourman.2015.09.006 ↗
37. Oliver, R. L. Whence consumer loyalty?. J. Mark. 63, 33–44 (1999).10.1177/00222429990634s105 ↗
38. Williams, P. & Soutar, G. N. Value, satisfaction and behavioral intentions in an adventure tourism context. Ann. Tour. Res. 36, 413–438 (2009).10.1016/j.annals.2009.02.002 ↗
39. Chew, E. Y. T. & Jahari, S. A. Destination image as a mediator between perceived risks and revisit intention: a case of post-disaster Japan. Tour. Manag. 40, 382–393 (2014).10.1016/j.tourman.2013.07.008 ↗
40. Kim, S.-E., Lee, K. Y., Shin, S. I. & Yang, S.-B. Effects of tourism information quality in social media on destination image formation: the case of Sina Weibo. Inf. Manage. 54, 687–702 (2017).10.1016/j.im.2017.02.009 ↗
41. Li, T. T., Liu, F. & Soutar, G. N. Experiences, post-trip destination image, satisfaction and loyalty: A study in an ecotourism context. J. Destin. Mark. Manag. 19, 100547 (2021).
42. Koç, B., Küçükergi̇n, K. G. & Dimanche, F. How destructive are negative tourist-to-tourist interactions despite the mitigating effect of optimism?. J. Destin. Mark. Manag. 23, 100693 (2022).
43. Park, S. & Nicolau, J. L. Image effect on customer-centric measures of performance. Ann. Tour. Res. 76, 226–238 (2019).10.1016/j.annals.2019.04.007 ↗
44. Liu, J., Wang, C. & Zhang, T. C. Exploring social media affordances in tourist destination image formation: A study on China’s rural tourism destination. Tour. Manag. 101, 104843 (2024).10.1016/j.tourman.2023.104843 ↗
45. Lee, C.-K. et al. The roles of cultural worldview and authenticity in tourists’ decision-making process in a heritage tourism destination using a model of goal-directed behavior. J. Destin. Mark. Manag. 18, 100500 (2020).
46. Harbin Daily. During the Spring Festival holiday, Harbin received 10.093 million tourists. https://www.harbin.gov.cn/haerbin/c104696/202402/c01_968592.shtml (2024).
47. XinhuaNews. Harbin’s Pedestrian Zhongyang Street honored as one of China’s Famous Historical and Cultural Streets. https://www.chinadaily.com.cn/dfpd/2010-07/21/content_11032451.htm (2010).
48. PengpaiNews. The first internet-famous city appeared in 2024! Why Harbin fire out of the circle. https://www.thepaper.cn/newsDetail_forward_26197003 (2024).
49. Heilongjiang Daily. How popular is ‘Harbin’? Latest data. https://wlt.hlj.gov.cn/wlt/c114212/202401/c00_31704856.shtml (2024).
50. Arabadzhyan, A., Figini, P. & Vici, L. Measuring destination image: a novel approach based on visual data mining. A methodological proposal and an application to European islands. J. Destin. Mark. Manag. 20, 100611 (2021).
51. Xiao, X., Fang, C., Lin, H. & Chen, J. A framework for quantitative analysis and differentiated marketing of tourism destination image based on visual content of photos. Tour. Manag. 93, 104585 (2022).10.1016/j.tourman.2022.104585 ↗
52. Marine-Roig, E. & Huertas, A. How safety affects destination image projected through online travel reviews. J. Destin. Mark. Manag. 18, 100469 (2020).
53. Lojo, A., Li, M. & Xu, H. Online tourism destination image: components, information sources, and incongruence. J. Travel Tour. Mark. 37, 495–509 (2020).10.1080/10548408.2020.1785370 ↗
54. Meng, L., Liu, Y., Wang, Y. & Li, X. A big-data approach for investigating destination image gap in Sanya City: when will the online and the offline goes parted?. Reg. Sustain. 2, 98–108 (2021).
55. Shao, C. & Chung, W. The impact of park environmental characteristics and visitor perceptions on visitor emotions from a cross-cultural perspective. Urban For. Urban Green. 102, 128575 (2024).10.1016/j.ufug.2024.128575 ↗
56. Chen, J. et al. Leveraging augmented reality for historic streetscape regeneration decision-making: a big and small data approach with social media and stakeholder participation integration. Cities 166, 106214 (2025).10.1016/j.cities.2025.106214 ↗
57. Pedregosa, F. et al. Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011).
58. Wold, H. Partial least squares. in Encyclopedia of Statistical Sciences Vol. 6 (eds Kotz, S. & Johnson, N. L.) 581–591 (John Wiley & Sons, New York, 1985).
59. Ringle, C. M., Wende, S. & Becker, J.-M. SmartPLS 4 (SmartPLS GmbH, Oststeinbek, 2022). Available at https://www.smartpls.com
60. Hair, J. F., Ringle, C. M. & Sarstedt, M. PLS-SEM: indeed a silver bullet. J. Mark. Theory Pract. https://doi.org/10.2753/MTP1069-6679190202 (2011).10.2753/MTP1069-6679190202 ↗
61. Usakli, A. & Kucukergin, K. G. Using partial least squares structural equation modeling in hospitality and tourism: Do researchers follow practical guidelines?. Int. J. Contemp. Hosp. Manag. 30, 3462–3512 (2018).10.1108/IJCHM-11-2017-0753 ↗
62. Hair, J., Hult, G. T. M., Ringle, C. & Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). (Sage Publications, Inc., Thousand Oaks, CA, 2022).10.1007/978-3-030-80519-7 ↗
63. Chin, W. & Marcoulides, G. The Partial Least Squares Approach to Structural Equation Modeling. in Mod. Methods Bus. Res. Vol. 8 (ed Marcoulides, G. A.) 295–336 (Lawrence Erlbaum Associates Publishers, 1998).
64. Akgün, A. E., Senturk, H. A., Keskin, H. & Onal, I. The relationships among nostalgic emotion, destination images and tourist behaviors: an empirical study of Istanbul. J. Destin. Mark. Manag. 16, 100355 (2020).
65. Schofield, P., Coromina, L., Camprubi, R. & Kim, S. An analysis of first-time and repeat-visitor destination images through the prism of the three-factor theory of consumer satisfaction. J. Destin. Mark. Manag. 17, 100463 (2020).
66. Journals, I. R. E. Impact of Xiaohongshu on Its User Based and Society: A Review. Iconic Res. Eng. J. https://www.academia.edu/43401168/Impact_of_Xiaohongshu_on_Its_User_Based_and_Society_A_Review (2019).
67. Fornell, C. & Larcker, D. F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18, 39–50 (1981).10.1177/002224378101800104 ↗
68. Henseler, J., Ringle, C. M. & Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43, 115–135 (2015).10.1007/s11747-014-0403-8 ↗
69. Boo, S., Busser, J. & Baloglu, S. A model of customer-based brand equity and its application to multiple destinations. Tour. Manag. 30, 219–231 (2009).10.1016/j.tourman.2008.06.003 ↗
70. Chi, C. G.-Q. & Qu, H. Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach. Tour. Manag. 29, 624–636 (2008).10.1016/j.tourman.2007.06.007 ↗
71. Echtner, C. M. & Ritchie, J. R. B. The measurement of destination image: an empirical assessment. J. Travel Res. 31, 3–13 (1993).10.1177/004728759303100402 ↗
72. Gallarza, M. G., Saura, I. G. & Garcı́a, H. C. Destination image: towards a conceptual framework. Ann. Tour. Res. 29, 56–78 (2002).10.1016/S0160-7383(01)00031-7 ↗
73. Delamere, T., Wankel, L. M. & Hinch, T. Development of a scale to measure resident attitudes toward the social impacts of community festivals, part I: item generation and purification of the measure. Event Manag 7, 11–24 (2001).10.3727/152599501108751443 ↗