|Table of Contents|

The Type Classification of Rural Tourist Sites Based onthe Passenger Flow Big Data of Operators—A Case Study of Jiangning District of Nanjing(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2018年03期
Page:
116-
Research Field:
·地理学·
Publishing date:

Info

Title:
The Type Classification of Rural Tourist Sites Based onthe Passenger Flow Big Data of Operators—A Case Study of Jiangning District of Nanjing
Author(s):
Ding Ding1; Ge Junlian1; Long Yi1; 2; 3; Zhou Guipeng1
(1.School of Geography Science,Nanjing Normal University,Nanjing 210023,China)(2.Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing 210023,China)(3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
Keywords:
passenger flow big data; rural tourist sites; type classification; Jiangning District of Nanjing
PACS:
K901.2
DOI:
10.3969/j.issn.1001-4616.2018.03.018
Abstract:
This paper takes 22 star-rating rural tourist sites in Jiangning District of Nanjing as research area,and uses hierarchical cluster analysis to divide them into different types,based on the passenger flow big data of operators. The study has two perspectives,one based on the time series characteristics of passenger flow,while the other on the spatial structure characteristics. The result shows that,the rural tourist sites can be divided into unimodal,biomodal or multimodal passenger flow patterns from the former perspective,or strong,medium and weak market attraction patterns from the latter. The classifications of both have high resemblance,the reasons of the resemblance are also discussed in the study.

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Last Update: 2018-11-19