The Commentary of City Promotional Films Based on Transitivity Theory: A Case Study of Xi’an and San Francisco

Based on Halliday’s theory of ideational function, this paper selects the commentary of city promotional films of Xi’an and San Francisco and analyzes them from the perspective of the transitivity system. The main purpose of this paper is to analyze the language skills of the two commentaries and to provide ideas and methods for the audience to understand such explanatory texts. This paper focuses on the following two questions: 1) How do the six processes of the transitivity system distribute in the two commentaries? 2) What are the specific functions of the six processes in the two commentaries? The results show that 1) there are two kinds of processes frequently used in explanatory texts, namely material process and relational process; 2) the frequency of mental, verbal and existential processes is relatively low; 3) behavioral process has no occurrence. The reason may be that although the textual structure and description focus of the two commentaries are different, they both belong to the applied style of oral explanation, so that they share the same social functions of shaping the city image, highlighting the city connotation and managing the city brand.

Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition

City image is the observer’s subjective impression of the city image. It is an important content of urban geography and planning research and has important guiding significance for shaping a unique urban space. Cognitive research on traditional urban imagery is mainly by means of questionnaires and image sketches. It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. With the advent of the era of big data and the development of Internet technology, there are more and more quantitative research results on smart city image cognition with the help of big data and deep learning technology. It will be a feasible way to apply it to urban image research. This article combines the development and transformation of smart cities with the transformation of urban planning and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as the data source, and deep learning as the core technology. The theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. The city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation. Specific cities are taken as examples to verify the applicability and scientificity of the cognitive methods and models, so as to enhance the practicality and applicability of urban imagery in urban planning. At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.

City Image Analysis of Food in Guangzhou – Taking Yamaha Fish Stall as an Example

In the representation system of city image, food has become a huge influence in the process of city image construction. In the construction of “food as the sky” as the city image of Guangzhou, it includes three forms: prototype image, conceptual image, and symbol image. There are several differences in the three forms, and the myth of “eating in Guangzhou” is constructed in the specific visual practice.

Revisiting the Mesopotamian City: a Drawing of its Inhabitants' Mental- Image

Mesopotamian cities were formed sometime during the fourth millennium BCE, and many of them continued to be inhabited as much as 3000 years. While urban characteristics of these cities has been extensively studied, the current article is concerned with exploring the inhabitants' daily experience in the city; a subject that has not been sufficiently explored despite its importance in urban studies. The objective is to expand the understanding of the relation between the ancient city and its occupants. The paper adopts the concept of the City Image as introduced in the seminal work of Kevin Lunch "Image of The City" in investigating aspects of the Mesopotamian city that qualifies it to form a strong mental Image for her citizens, derived from the legibility of its elements and the structure they form. Using a descriptive analytical method in reviewing previous literature, the research first clarifies the shared characters of Mesopotamian cities, and addresses the stature of the city in Mesopotamians' culture. I then specify the five urban elements of the city image as categorised by Lynch; paths, nodes, edges, districts and landmarks, in addition to addressing manifestations of the citizens' urban life in the Mesopotamian city. Afterward, visualization of the citizen's daily experience through the urban fabric of the city is provided, to arrive at a conclusion of the Legibility of the mental image of the Mesopotamian city in the perception of its citizens.

Urban Tourism Destination Image Perception Based on LDA Integrating Social Network and Emotion Analysis: The Example of Wuhan

Tourism destination image perception aims to depict the urban tourism image from the perspective of the perception of tourists, which, therefore, sheds new light on the advancement and innovation of urban tourism. The model proposed in this study can effectively describe the image perception of a tourism destination, with its research conclusions providing a vital referential basis for the sustainable development of urban tourism. Combined with LDA, we construct the research framework of tourism destination image perception and then take the online comments of popular scenic spots in Wuhan on Ctrip Travel as an example. The results show that four aspects are included in tourists’ perception of the city image of Wuhan: experience, history culture, leisure service, and tourist destination. Among them, the social network of the experience dimension is most closely related. In addition, emotion analysis illustrates that tourists’ emotional tendencies tend to be positive under the four perceptual dimensions.

Perception Measurement of City Brand Archetype in Xiamen, Zhangzhou, and Quanzhou-Based on Projection Method Analysis

City branding is the most concentrated embodiment of city image and the most valuable intangible asset of a city. City branding can attract investors, talents, tourists, and the public’s attention to the city, as well as enhance the competitiveness of the city and bring greater economic benefits and growth potential to the city. Past studies in the context of city branding systematically focus on the development, shaping and communication. Little is known on the combination of city branding and brand archetypes. The projection technique is applied for this research. The objective of this research is to explore the archetypes of city brand based on the Twelve Chinese Cultural Archetypes theory, and takes Xiamen, Zhangzhou, and Quanzhou as the examples. The research reveals that Xiamen belongs to the archetype of “Beauty”, Zhangzhou is close to the archetype of “Neighborhood”, and Quanzhou belongs to the archetype of “Benevolent”.

City Brand Image Building and Its Impact on the Psychological Capital of New Entrepreneurs Following Cultural Construction

The purpose of the study is to provide effective direction and ideas for urban modernization and promote the development of the city innovation economy and the stability of the employment rate. First, the main contents and influencing factors of urban culture construction are introduced. Second, the construction of city cultural images and the social capital of new entrepreneurs are discussed, and the relationship between the two is analyzed. Then, Interpretative Structural Modeling Method (ISM) is put forward, and five influencing factors of city entrepreneurial environments are expounded. A questionnaire survey is designed based on the ISM model, and a nationwide survey of new entrepreneurs is carried out. The survey results show that entrepreneurs of different genders, ages, and educational levels have different degrees of concern for the city image. Among them, the entrepreneurs with different educational levels have the most obvious difference in their attention to the cultural image of the city (p < 0.05). In addition, public transportation, educational conditions, tourism resources, air quality, and image orientation are the most obvious factors affecting the construction of city brand images (p < 0.05). The influence of the educational level of residents and investment environment on new entrepreneurs is more prominent. This shows that in the process of shaping the city brand image, the improvement of city culture is helpful for new enterprises. The more perfect the city culture is, the more attractive it will be for highly educated entrepreneurs. The study can help relevant decision-makers to plan the future development direction of the city more accurately and realize the stable development of city brand images.