基于大数据的西安市国内游客情感体验时空变化研究

doi:10.12118/j.issn.1000-6060.2020.04.22

摘要/Abstract

摘要： 大数据时代,社交媒体的大量应用为研究游客情感体验以及探索其时空变化提供了新的数据源。采集3 a间西安市国内游客微博签到数据,运用热点格网图法、Getis-Ord Gi*方法和X-means聚类方法,从积极情感和消极情感2个维度研究西安市国内游客情感体验时空变化和演化规律。结果表明：（1）城市中心、城市主轴线、主要商圈以及景区景点附近游客情感相对较高且稳定,高情感体验区域主要分布在曲江新区和西安古城旅游区。（2）消极情感体验在西安的交通枢纽和城市边缘的空间占比高,交通枢纽主要以车站、城市进出口为主。（3）整体上来看,3 a间西安市游客情感较为平稳,积极情感呈现“中心—边缘”的空间格局,消极情感和积极情感的呈现具有相似性,主要以3种类型为主：稳定型、相对稳定型和剧烈波动型。在3种类型中,稳定型的主要聚集地在城市中心、商圈附近、交通干线周边以及景区景点附近,相对稳定型占据西安市大面积区域,剧烈波动型处于距离城市中心较远的边缘。

关键词: 情感体验, 时空变化, X-means聚类, 微博签到数据

Abstract: In the era of big data,people’s extensive application of social media has provided a new data source for studying tourists’ emotional experiences and exploring their temporal and spatial changes. Incorporating human emotional experiences into geography research is conducive to exploring the laws of human behavior,and investigating the generation of tourists’ emotions and spatiotemporal changes is a vital part of such research. Data combined with geographic locations provide new ideas for studying tourists’ large-scale emotional experiences and their spatiotemporal evolution. Due to the city’s many historical monuments and the plethora of ancient ruins and tombs in its vicinity,tourism has become an important component of the local economy,and the Xi’an region,Shaanxi Province is now one of the most popular tourist destinations in China. This study used Xi’an as the case city,and collected the check-in data of domestic tourists on Weibo over the past three years,using a hot grid map,the Getis-Ord Gi* method,and the X-means clustering method to study the temporal and spatial changes of tourists’ emotional experiences in Xi’an from the dimensions of positive and negative emotion to explore the evolution law of such experiences. The research found as follows：（1） Tourists near the urban center,main axis of the city,main business circles,and scenic spots showed relatively high and stable emotion;the tourist area of Ancient Xi’an,with the Bell Tower and Drum Tower at its center,and the new Qujiang area,which is regarded as the “Reception Room of Xi’an,” were the major areas wherein the tourists displayed high emotional experiences. （2） The transportation hub （i.e.,the station and the entrance and exit of expressways） and marginal areas of the city were the gathering places of negative emotional experiences. （3） Within the past three years,the overall emotion of tourists in Xi’an has not shown much fluctuation. The spatiotemporal clustering of positive and negative emotion showed center-margin patterns,which could be classified into three types：stable,relatively stable,and violently fluctuating. Among these,the stable type was mainly distributed in the city center,near the main business circles,around the traffic trunk lines,and near the scenic spots. The relatively stable area occupied almost all of the Xi’an area,and the violently fluctuating type was mainly observed at the marginal areas of the city. This paper enriches the research methods of tourists’ emotional experiences. Differing from the nuclear density analysis method used in previous studies,this research connects tourists’ emotions and urban areas more accurately and analyzes the law of tourists’ emotional experience distribution and clustering in the city. Moreover,this research holds a certain practical significance for the construction of urban infrastructure,distribution of public service facilities for tourism,and urban and tourism planning. It also plays an enlightening role in including tourists’ emotions in the study of urban planning.

Key words: emotional experience, spatio-temporal, X-means cluster, check-in data

李君轶, 朱函杰, 付利利. 基于大数据的西安市国内游客情感体验时空变化研究[J]. 干旱区地理, 2020, 43(4): 1067-1076.

LI Jun-yi, ZHU Han-jie, FU Li-li. Spatial-temporal variation of emotional experience of domestic tourists in Xi’an City based on bigdata[J]. Arid Land Geography, 2020, 43(4): 1067-1076.

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