Research on the city image and cognitive distance based on chromatogram at the scale of mega city in Wuhan

Tang, Shouni; Qiao, Hongbo; Yang, Huizhen; Liu, Wei; Huo, Xixi; He, Guoqing; Ma, Baosong

doi:10.1080/13467581.2022.2049275

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Oder River, as a key feature of the city, appeared as a linear element in 51.4% of the mental maps. Tang et al (2023) used a questionnaire survey and chromatogram analysis to study the city imagery of Wuhan, China at the megacity scale. They demonstrated that historical and natural imagery were the main components of Wuhan, and historical relics would be polarized into imprinted and forgotten.…”

Section: Literature Reviewmentioning

confidence: 99%

Short video-driven deep perception for city imagery

Chen,

Yu,

Zhu

et al. 2023

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

City imagery is essential for enhancing city characteristics and disseminating city identity. As an emerging medium, short videos can intuitively reflect people’s perception of complex urban environment. In this study, we proposed a short video-driven deep learning perception framework to sense city imagery. To quantitatively deconstruct spatial imagery of urban space, deep neural network is used for pixel-level semantic segmentation. K-means clustering and hierarchical clustering analysis are carried out to extract and reveal the spatial imagery characteristics at the landmark level and the city level. Taking the Guangdong-Hong Kong-Macao Great Bay Area (GBA) as the study area, an experiment was carried out with TikTok short videos. The results showed that (1) the spatial imagery of the GBA cities are divided into four categories: Green Waterfront, including Jiangmen, Huizhou, Zhuhai, Zhaoqing, and Zhongshan; Humanistic Capital, including Hong Kong, Guangzhou, and Foshan; Modern Green City, including Shenzhen and Dongguan; Sky City, that is, Macao; (2) the landmark imagery in GBA can be characterized into five groups: Green Water and Blue Sky, Ancient Architecture of Greenery, Modern Architecture, Staggered Roads, and Urban Green Lung. It further investigated spatial distribution of landmark-level spatial imagery. These results prove the feasibility of sensing city imagery with short videos and provide useful insights into city imagery studies. It provides a new approach for understanding and spreading the city imagery over Internet.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Short video-driven deep perception for city imagery

Chen,

Yu,

Zhu

et al. 2023

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

show abstract

“…A landmark is a reference point for tourists to recognize destinations and determine the identity of cities [60]. A total of 30 landmarks exist in the research area, and the spatial distribution map is shown in Figure 4.…”

Section: Landmarkmentioning

confidence: 99%

Identifying Coastal Cities from the Perspective of “Identity-Structure-Meaning”: A Study of Urban Tourism Imagery in Sanya, China

Hu,

Chen

2023

Sustainability

View full text Add to dashboard Cite

Urban tourism imagery is an essential factor affecting the competitiveness of cities. However, most existing studies use small data methods such as interviews and questionnaires to explore tourists’ perceptions of cities without combining big data for analysis. In addition, there is relatively little research on the tourism imagery of coastal cities. Therefore, this study analyzes the data from 523 travelogues from a three-dimensional perspective of identity, structure, and meaning, using methods such as BERTopic, aiming to explore the tourism imagery of coastal cities perceived by tourists. The results show the following: (1) In terms of identity, Sanya’s urban tourism imagery has the attribute of “external explicit-internal implicit”, which satisfies tourists’ visual and spiritual experiences. (2) Regarding structure, Sanya has a clear regional division of imagery and a core–edge diffusion distribution among regions. (3) Regarding meaning, tourists’ attitudes toward Sanya are polarized. Positive emotions predominate in the overall perception of meaning, but 25% of the negative emotions require urgent attention. This study provides a reference for the sustainable development of tourism cities and the marketing management of destinations.

show abstract