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中国城市居民旅游活跃度研究

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释放旅游消费潜力、推动旅游业实现质的有效提升和量的合理增长是当前我国旅游业发展的现实需要.文章提出旅游活跃度概念和评价指标,应用大样本问卷调查数据,定量研究城市居民旅游活动人群分异规律和群体特征.研究发现:1)中国城市居民旅游活跃度人群分布为指数型,案例城市旅游活跃度均值和中位数值都不高,旅游活跃度可作为旅游市场细分的新变量;2)中国城市居民旅游活动人群分异呈"二五规律"和"五八规律",即旅游活跃度排名前20%的城市居民完成了全部旅游活动的50%,排名前50%的城市居民完成了全部旅游活动的80%;3)中国城市居民中旅游活跃群体和不活跃群体的人口统计学特征具有结构上的相似性和偏移性,年龄、收入、家庭生命周期、职业、学历、婚姻等特征属性对旅游活跃度均有不同程度的影响;4)同一人口统计学群组的旅游活跃人群可分为4个亚群组;5)中国城市居民中旅游活跃群体比不活跃群体的出游半径大500 km,比新"吴曲线"扩大了100 km,比老"吴曲线"扩大了2倍.研究结论有助于针对性地开展旅游市场细分、需求预测和市场营销.
Study on the Tourism Activeness of Chinese Urban Residents
Releasing the potential of tourism consumption and promoting the tourism industry to achieve effective qualitative improvement and reasonable quantitative growth are the realistic needs for the development of China's tourism industry at present.This paper proposes the concept of tourism activeness and evaluation indexes,and applies large-sample questionnaire data to quantitatively study the differentiation patterns of Chinese urban residents'tourism activities and the characteristics of subdivided groups.The core content of the questionnaire has two parts:the first part is the target scenic spots.The higher the number of respondents visits the target scenic spots,the more active they are in tourism,conversely,the less active they are in tourism.The second part is demographic characteristics.The case cities are Beijing,Shanghai,Changchun,Wuhan,Xi'an,and Chengdu,representing cities with different levels of socio-economic development located in the eastern,central,and western China,respectively.The later validated cities are Taiyuan,Datong,Lyuliang,Jincheng,Gaoping,and Gujiao,representing cities with different levels of administrative hierarchy and socio-economic development.The main conclusions are as follows.1)The population distribution of tourism activeness is exponential,and the mean and median values of tourism activeness in the six case cities are not high.It is found that tourism activeness can be used as a new posterior segmentation variable for tourism market segmentation.2)The Chinese urban residents'tourism activities are differentiated by the"two-five law"and the"five-eight law",i.e.,the top 20%of urban residents in terms of tourism activeness has completed 50%of all tourism activities,and the top 50%have completed 80%of all tourism activities.3)The demographic characteristics of the tourist active and inactive groups among Chinese urban residents are structurally similar and skewed,and characteristic attributes such as age,income,family life cycle,occupation,education level,and marital status all have different degrees of influence on tourist activeness.4)The active tourists in the same demographic cluster can be divided into four subgroups.5)The travel radius of the active group is 500 km larger than that of the inactive group,which is 100 km larger than that of the new"Wu curve"and twice as large as that of the old"Wu curve".The findings of the study have implications for targeted tourism market segmentation,demand forecasting and marketing.At the theoretical level,this study deepens the understanding of changes in tourism demand and groups differentiation characteristics of Chinese urban residents and makes the relevant research conclusions about"Wu curve"more accurate.At the practical level,this study found that there is no significant relationship between travel radius and urban population size and administrative level.The demographic characteristics attributes other than gender are all important influencing factors of tourism demand.Dividing tourist groups and types based on demographic characteristics is correct,but full attention should be paid to the structural deviation between active and inactive groups.Further division should be made into golden,silver,bronze,and iron subgroups in active group.Overall,because the tourism needs of China's urban residents are not greatly satisfied,the development of China's tourism industry is promising.

urban residentstourism activenesstourism market segmentationposterior segmentation variables

吴晋峰、石晓腾、贾薇

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陕西师范大学地理科学与旅游学院,陕西西安 710119

陕西省旅游信息科学重点实验室,陕西西安 710119

山西工商学院健康管理学院,山西太原 030036

城市居民 旅游活跃度 旅游市场细分 后验细分变量

国家自然科学基金项目陕西师范大学基础研究重点项目培育专项

416711351301032239

2024

旅游学刊
北京联合大学旅游学院

旅游学刊

CSTPCDCSSCICHSSCD北大核心
影响因子:2.013
ISSN:1002-5006
年,卷(期):2024.39(7)