Indicator System Construction and Empirical Evaluation of the Tourism Cuisine Locality in Typical Districts:A Study Based on Network Data Mining
Local food is a core element of tourist destinations,but a crisis in the locality of tourism cuisine has emerged in recent years.Little attention has been paid to the quantitative evaluation of tourism cuisine locality.This study addresses this gap by constructing an index system to evaluate tourism cuisine locality,using network data mining and the List of Intangible Cultural Heritage in China as references.Focusing on gourmet shops in typical districts of major Chinese cities,this research identifies key characteristics and issues in tourism cuisine locality.This study presents several findings.1)The index system for tourism cuisine locality comprises three secondary indicators(food locality,environmental locality and service locality)and seven basic indicators.Food locality includes food source,representativeness and diversity.Environmental locality covers the dining environment and characteristics of service staff.Service locality involves dining service and local performances.2)Overall,tourism cuisine locality in the typical districts of major Chinese cities is generally low,with significant deficiencies in environmental and service locality.3)There are notable differences in the number and proportion of high-scoring gourmet shops across cities.Dali Ancient City,North Gate in Xi'an,Kuanzhai Alley in Chengdu,Three Lanes and Seven Alleys in Fuzhou,and Qinghefang in Hangzhou have higher concentrations of high-scoring ones.4)There is a correlation between regional tourism cuisine locality and human geography regions,with higher locality scores in the ethnic minority areas in Southwest China.The Southwest China,South China,and East China Human Geography Regions exhibit higher scores.The main contributions of this study are as follows.1)Exploring tourism cuisine locality from the perspective of urban typical districts,such as historical and cultural districts,and tourism and leisure districts,which align with the spatial scale perceived by tourists.2)Constructing an index system for tourism cuisine locality based on the List of Intangible Cultural Heritage in China,providing a theoretical framework for future research and practice.3)Utilizing network data mining methods to gather tourism cuisine locality data on a large spatial scale,offering methodological tools for subsequent studies.
tourism cuisinetourism cuisine localitythe List of Intangible Cultural Heritagetypical districtnetwork data mining
NETL
NSTL
万方数据
