Research on big data high-speed railway tourism effect based on coupling model：Take Baoji city as an example

doi:10.14088/j.cnki.issn0439-8114.2020.14.039

Abstract

Abstract: Taking Baoji city in Shaanxi province as the research area, the coupling model of data processing was established by means of range standardization and entropy method, to explore the coupling coordination relationship between the development level of big data and high-speed railway tourism, and analyze the impact of big data and high-speed railway on tourist destinations development. The results showed that in the context of the development of big data from 2013 to 2017, the high-speed railway tourism in Baoji city was on the rise. However, due to the influence of per capita disposable income, high-speed railway lines and big data platform, the comprehensive development present nonlinear changes, and from 2015 to 2016 the coupling degree of the two was on the edge of imbalance, and the coordination degree was moderate.

Key words: big data, high-speed railway tourism, coupling model, Baoji city

CLC Number:

F327
K901

HU Ke-ke, WAN Hong-lian, MAO Nan, CUI Shu-han, CHEN Xiao-xin. Research on big data high-speed railway tourism effect based on coupling model：Take Baoji city as an example[J]. HUBEI AGRICULTURAL SCIENCES, 2020, 59(14): 184-188.

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