Research on the Influencing Mechanism of Historic Urban Landscape Characteristics on Public Sentiments and the Spatio-temporal Differentiation Patterns—A Case Study of Shaoxing Ancient City in Zhejiang Province, China

Abstract

Combining research methods such as semantic analysis and Space-Time Cube, this paper proposes a "historic urban landscape–cognition–sentiment" analysis framework, covering aspects of heritage intrinsic value, urban functional value, and urban landscape value, and reveals the influencing mechanism of the characteristics of historic urban landscape (HUL) on public sentiments and the spatio-temporal differentiation patterns through the case study of the Shaoxing ancient city in China. The research findings include that different HUL characteristics had differentiated effects on public sentiments, and the effect of a same HUL characteristic on public sentiments varied between weekdays and weekends/holidays, and among different HULs. On weekends/holidays, public sentiments were more influenced by the intrinsic value factors of HUL (e.g., heritage level, heritage age), whereas on weekdays, they were more affected by urban functional value factors, and urban landscape value factors played a greater role in arousing people's positive sentiments. This study aims to provide scientific references for enhancing public perception and emotional experience in urban spaces and for identifying potential spatial improvement opportunities in historic cities.

● Innovatively proposes "HUL–Cognition–Sentiment" analysis framework, and systematically explores the influencing mechanism of HUL characteristics on public sentiments

● Studies the spatio-temporal differentiation patterns of public sentiments from the dimensions of HUL intrinsic value, urban functional value, and urban landscape value

● On weekends/holidays, public sentiments were more influenced by the intrinsic value factors of HUL, while on weekdays were more affected by urban functional value and urban landscape value factors

Graphical abstract

Keywords

Historic Urban Landscape / Public Sentiments / Weibo Check-in Data / Spatio-temporal Differentiation Patterns / Space-Time Cube / Historic Urban Landscape–Cognition–Sentiment Analysis Framework

References

[1] UNESCO. (2019). The UNESCO recommendation on the Historic Urban Landscape.

[2] Li, H. , & Yang, L. (2019) Research on the management tools of Historic Urban Landscape—Historic townscape characterisation. Chinese Landscape Architecture, 35 (35), 54– 58.

[3] & Lazarus, R. S. (1982) Thoughts on the relations between emotion and cognition. American Psychologist, 37 (39), 1019– 1024.

[4] Li, Y. , Chen, X. , Liu, P. , & Huang, G. (2021) Research on image perception of heritage tourist destinations from the three-dimensional perspective of "cognition–emotion–integrity": Taking Xiangjiang ancient town group as an example. Human Geography, 36 (35), 167– 176.

[5] & Taylor, K. (2023) Historic Urban Landscape paradigm—A tool for balancing values and changes in the urban conservation process. Landscape Architecture Frontiers, 11 (33), 96– 104.

[6] Zhang, S. , & Zhen, X. (2017) From historical features preservation to urban landscape management—Based on the Historic Urban Landscape approach. Landscape Architecture, (36), 14– 21.

[7] Zhou, X. , Sun, Z. , & Liu, X. (2022) Research on the spatial perception and recreational experience of Historic Urban Landscape supported by the technology of digital footprint. New Architecture, (31), 10– 15.

[8] Li, H. , Li, M. , Zou, H. , Zhang, Y. , & Cao, J. (2023) Urban sensory map: How do tourists "sense" a destination spatially?. Tourism Management, (397), 104723.

[9] Zhou, X. , Liu, Z. , & Shi, J. (2022) Evaluation on visual landscape perception under the support of digital footprint: A case study of Historic Urban Landscape of the Qinhuai River area. Landscape Architecture, 29 (39), 18– 25.

[10] Ginzarly, M. , Roders, A. P. , & Teller, J. (2019) Mapping historic urban landscape values through social media. Journal of Cultural Heritage, (336), 1– 11.

[11] Dai, J. , Huang, X. , Sun, J. , An, H. , & Guo, Q. (2023) Research on the formation mechanism of tourist cultural identity in National Cultural Park—Taking the iconic natural landscapes of the Yellow River National Cultural Park as an example. Tourism Tribune, 38 (31), 31– 41.

[12] Taylor, K. (2008, September 29–October 4). Landscape and memory: Cultural landscapes, intangible values and some thoughts on Asia[Conference or Workshop Item]. 16th ICOMOS General Assembly and International Symposium: 'Finding the Spirit of Place—between the Tangible and the Intangible'. Quebec, Canada.

[13] Liu, T. , Butler, R. J. , & Zhang, C. (2019) Evaluation of public perceptions of authenticity of urban heritage under the conservation paradigm of Historic Urban Landscape—A case study of the Five Avenues Historic District in Tianjin, China. Journal of Architectural Conservation, 25 (33), 228– 251.

[14] & Hoteit, A. (2015) Role of the landscape in the preservation of collective memory and the enhancement of national belonging. Canadian Social Science, 11 (33), 1– 8.

[15] Bonadei, R. , Cisani, M. , & Viani, E. (2017) City walls as Historic Urban Landscape: A case study on participatory education. Journal of Tourism, Culture and Territorial Development, 8 (37), 75– 88.

[16] Anderson, K. , & Smith, S. (2001) Editorial: Emotional geographies. Transactions of the Institute of British Geographers, 26 (31), 7– 10.

[17] Zhu, H. , & Gao, Q. (2015) Review on "emotional turn" and emotional geographies in recent western geography. Geographical Research, 34 (37), 1394– 1406.

[18] Yang, L. , Duarte, C. M. , & Ciriquián, P. M. (2022) Quantifying the relationship between public sentiment and urban environment in Barcelona. Cities, (3130), 103977.

[19] Lazarus, R. S. (1991). Emotion and Adaptation. Oxford University Press.

[20] Zhang, X. (2019). Emotion recognition via passive sensing [Doctoral dissertation]. Nanjing University.

[21] Li, Y. , Gao, X. , Yang, L. , & Guo, J. (2020) Research on walking environment satisfaction of residents based on ordered probit model—A case study of Gulangyu. Chinese Landscape Architecture, 36 (311), 90– 94.

[22] Kerr, M. L. , Rasmussen, H. F. , Smiley, P. A. , Buttitta, K. V. , & Borelli, J. L. (2021) The development of toddlers' emotion regulation within the family system: Associations with observed parent-child synchrony and interparental relationship satisfaction. Early Childhood Research Quarterly, (357), 215– 227.

[23] Benita, F. , Bansal, G. , & Tunçer, B. (2019) Public spaces and happiness: Evidence from a large-scale field experiment. Health & Place, (356), 9– 18.

[24] Rodríguez-Ibánez, M. , Casánez-Ventura, A. , Castejón-Mateos, F. , & Cuenca-Jiménez, P.-M. (2023) A review on sentiment analysis from social media platforms. Expert Systems with Applications, (3223), 119862.

[25] Mitchell, L. , Frank, M. R. , Harris, K. D. , Dodds, P. S. , & Danforth, C. M. (2013) The geography of happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place. PLoS One, 8 (35), e64417.

[26] Shan, Z. , An, Y. , Yuan, M. , & Huang, Y. (2022) Study on spatial and temporal distribution characteristics and influencing factors of urban residents' sentiment based on Weibo data: A case study of the main urban area of Wuhan. Urban Development Studies, 29 (38), 69– 76.

[27] Kong, L. , Liu, Z. , Pan, X. , Wang, Y. , Guo, X. , & Wu, J. (2022) How do different types and landscape attributes of urban parks affect visitors' positive emotions?. Landscape and Urban Planning, (3226), 104482.

[28] Wang, Y. , Chew, A. W. Z. , & Zhang, L. (2022) Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission. Applied Soft Computing, (3131), 109728.

[29] & Amarasinghe, A. (2023) Public sentiment in times of terror. Journal of Development Economics, (3162), 103058.

[30] Ginzarly, M. , Houbart, C. , & Teller, J. (2019) The Historic Urban Landscape approach to urban management: A systematic review. International Journal of Heritage Studies, 25 (310), 999– 1019.

[31] Jian, J. , Zhen, F. , Xi, G. , & Zhai, Q. (2016) A review on emotional geography: Its progress and enlightenment. World Regional Studies, 25 (32), 123– 136.

[32] Lei, Z. , Luo, J. , & Cao, L. (2021) Quantitative research on historic city landscape value assessment based on AHP-GIS—Taking Taiyuan, a historic and cultural city, as an example. Journal of Taiyuan University of Technology, 52 (34), 630– 637.

[33] Shoval, N. , Schvimer, Y. , & Tamir, M. (2018) Tracking technologies and urban analysis: Adding the emotional dimension. Cities, (372), 34– 42.

[34] Oren, G. , Shani, A. , & Poria, Y. (2021) Dialectical emotions in a dark heritage site: A study at the Auschwitz Death Camp. Tourism Management, (382), 104194.

[35] & Jimura, T. (2011) The impact of world heritage site designation on local communities—A case study of Ogimachi, Shirakawa–mura, Japan. Tourism Management, 32 (32), 288– 296.

[36] Su, M. , & Wall, G. (2010) Place attachment and heritage tourism at the Great Wall. Journal of China Tourism Research, 6 (34), 396– 409.

[37] Medina-Viruel, M. J. , López-Guzmán, T. , Gálvez, J. C. P. , & Jara-Alba, C. (2019) Emotional perception and tourist satisfaction in world heritage cities: The Renaissance monumental site of Úbeda and Baeza, Spain. Journal of Outdoor Recreation and Tourism, (327), 100226.

[38] Liang, J. , Jiang, S. , & Tao, L. (2020) Empirical research on the relationship between spatial-temporal behavior and emotion of tourists based on semantic analysis of online travel blogs and GIS visualization: A case of Beijing. Human Geography, 35 (32), 152– 160.

[39] Shaoxing Wuhan Municipal Bureau of Natural Resources and Planning. (2023, October 23). Public notice of draft of Shaoxing historical and cultural city protection plan (2021–2035).

[40] Zhu, Y. , & Jing, J. (2019) Chinese word segmentation technology based on Python language. Communications Technology, 52 (37), 1612– 1619.

[41] Wang, Y. , Chi, Y. , Xu, J.-H. , & Yuan, Y. (2022) Consumers' attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China. Energy Policy, (3165), 112983.

[42] Wan, P. , Qiu, F. , Xiang, F. , Wang, J. , Pan, C. , Zhu, X. , & Xu, L. (2022) Study on the Spatio-temporal Variation and Prediction Model of PM2.5 in Kunming. Environmental Science Survey, 41 (32), 47– 51.

[43] Wang, H. , Chen, R. , Wei, S. , Gui, L. , & Fei, T. (2020) Mining emotional geography features based on Chinese Weibo data. Geomatics and Information Science of Wuhan University, 45 (35), 699– 708.

[44] Zhang, Q. , Xu, D. , & Ding, Y. (2021) Spatio-temporal pattern mining of the last 40 years of drought in China based on SPEI index and spatio-temporal cube. Agricultural Research in the Arid Areas, 39 (33), 194– 201.

[45] Xue, M. , Wang, C. , Zhao, J. , & Li, M. (2020) Spatial differentiation pattern and influencing factors of tourism economy in the Yellow River Basin. Economic Geography, 40 (34), 19– 27.

[46] Tao, J. , Dong, P. , Zhou, N. , Lu, Y. , Gong, X. , & Ma, X. (2022) Study on spatial distribution characteristics and influencing factors of historical and cultural towns and villages in the Yangtze River Economic Belt. Geography and Geo-Information Science, 38 (33), 66– 73.

[47] Wang, C. , Wang, B. , Wang, Q. , & Lei, Y. (2023) Nonlinear associations between urban vitality and built environment factors and threshold effects: A case study of central Guangzhou City. Progress in Geography, 42 (31), 79– 88.

[48] Ta, N. , Zeng, Y. , Zhu, Q. , & Wu, J. (2020) Relationship between built environment and urban vitality in Shanghai downtown area based on big data. Scientia Geographica Sinica, 40 (31), 60– 68.

[49] Zhu, J. , Fan, Y. , & Fan, F. (2018) Factors affecting commute happiness of residents in big cities: A case study of Xi'an, China. Urban & Rural Planning, (33), 43– 53.

[50] Fan, R. , Zhao, J. , Chen, Y. , & Xu, K. (2014) Anger is more influential than joy: Sentiment correlation in Weibo. PLoS ONE, 9 (310), e110184.

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