Under the wave of mass tourism era, tourists' demand for tourism activities is increasingly diversified. Regional cities have become the preferred destinations for tourists because of their unique regional cultural characteristics. In recent years, adhering to the development concept of "shaping tourism with culture and highlighting culture with tourism", giving full play to the social value of regional urban tourism has become the common goal of the state, society and academia. In this context, tourism photography, as a popular recreational activity in regional cities, has attracted wide attention for its costume elements. In order to effectively innovate and improve the design of regional urban tourism clothing, this study applies the theory and method of Kansei engineering to transform tourists' perceptual experience into quantifiable design characteristics, and conducts an in-depth study on the styles and patterns of tourism clothing.
This study takes silhouette and pattern in clothing design as the starting point, uses data collection methods such as literature research, questionnaire survey and expert consultation, and combines statistical analysis methods such as mean value and correlation analysis, factor analysis and stepwise regression, aiming to clarify travel fashion preference and establish a set of travel fashion design criteria. The study first defined 5 main clothing shapes and 8 pattern types, and produced 40 visual stimulating pictures of travel clothing. The preliminary data of perceptual evaluation were collected through questionnaire survey, and 10 key perceptual word pairs were determined by expert opinions. The perceptual evaluation scale was established, and the common characteristics of perceptual words were revealed. The study found that the tourist costumes showing X-shaped silhouette, animals and large floral patterns were the most popular, while those with O-shaped silhouette and geometric patterns were relatively less popular. Through factor analysis, perceptual adjectives are classified into three factors: temperament, vision and perception. The mathematical model between perceptual evaluation and preference is established by stepwise regression analysis.
Based on the research results, this paper puts forward the overall design criteria of A set of travel photography clothing: It is suggested to use X, A and H shapes, and choose animal or plant patterns to cater to tourists' preferences. Taking the ancient city of Quanzhou in Fujian Province as an example, a series of travel photography clothing designs with the theme of Southeast Asian stories are put into practice. This series combines the intangible cultural heritage of Quanzhou, such as flower hairwear and its architectural features, and uses design strategies such as shape grammar to innovate from four dimensions: profile, color, pattern and fabric. This series not only meets the needs of tourists, but also aims to present the integration of regional city culture and contemporary trends, which provides a reference for other regions in China to develop tourism costumes with regional characteristics.
In this study, the perceptual preference evaluation method of tourists for travel photography clothing is applied to the reference of clothing design, and the style and pattern design strategy of travel photography clothing is proposed. By exploring the correlation between styles and patterns of travel photography clothing and perceptual preference evaluation, this study quantifies tourists' aesthetic needs for travel photography clothing, and provides guidance for the selection of design elements through perceptual evaluation method, and also confirms the effectiveness of perceptual evaluation in clothing design.
In short, this study not only provides scientific and systematic criteria for the design of regional urban tourism clothing, but also provides a new perspective and methodology for the innovative design of tourism clothing, which has important theoretical and practical significance for promoting the development of regional urban tourism industry.
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