旅游客流大数据统计模型构建与验证  

Construction and Verification of Big Data Statistical Model for Tourist Flow

作　　者：宋廷山 郭思亮 Song Tingshan;Guo Siliang(School of Continuing Education,Qilu Normal University,Jinan 250202,China;School of Economics and Management,Qilu Normal University,Jinan 250202,China;College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)

机构地区：[1]齐鲁师范学院继续教育学院,济南250202 [2]齐鲁师范学院经济与管理学院,济南250202 [3]南京航空航天大学经济与管理学院,南京211106

出　　处：《统计与决策》2020年第24期38-41,共4页Statistics & Decision

基　　金：山东省软科学研究计划项目(2018RKB01063);山东省社会科学规划研究项目(18CLYJ13);山东省社会科学规划研究项目(15CQSJ08);山东省社会科学规划研究项目(18CSJJ09);山东省高等学校人文社会科学研究项目(J14WF69);山东省统计科研重点课题(KT1951)。

摘　　要：基于大数据的旅游客流统计是旅游统计的关键环节,如何提高其代表性和精准度是需要重点关注的问题。文章基于手机用户通信大数据,从"游客"的统计学界定出发,采用"逐层剥离"的思想,分析了以入境游客数、出境游客数、接待省外游客数、接待省内市外游客数、出省游客数、出游到省内其他市游客数、市内县域间互访游客数为核心指标的客流大数据统计指标体系构建思路和方法,给出了从省域细化到县域的客流大数据基本统计模型。The tourist flow statistics based on big data is the key link of tourism statistics,and how to improve its representativeness and accuracy is an important concern.Based on the communication big data of mobile phone users,and starting from the statistical definition of"tourist",this paper adopts the idea of"stripping layer by layer"toanalyzethe thoughts and methods for constructing the big data statistics index system of tourist flow with the following as the core indicators:the number ofinbound tourists,outbound tourists,tourists from outside the province,tourists from other cities of the province,out-of-province tourists,tourists traveling to other cities of the province,and inter-county visitors of the same city.Finally,the paper gives the basic statistical model of detailed tourists flow big data from provincial regions to county regions.

关 键 词：旅游客流 手机通信 大数据统计 

分 类 号：F062.9[经济管理—政治经济学]