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黑龙江旅游网络关注度时空演变特征研究
引用本文:吕波,王辉,何悦,周仲鸿.黑龙江旅游网络关注度时空演变特征研究[J].科技和产业,2021,21(10):252-259.
作者姓名:吕波  王辉  何悦  周仲鸿
作者单位:渤海大学管理学院 ,辽宁锦州121013
摘    要:探究黑龙江旅游网络关注度时空演变特征对黑龙江旅游业良性发展具有重要意义.利用百度指数获取2011—2018年全国和分地区黑龙江旅游网络关注度逐日搜索指数数据.从时间分布、空间分布、时空集聚3个方面研究其演变特征.研究表明:2011—2018年全国黑龙江旅游网络关注度年际变化总体呈现上升趋势,月际变化呈"W"形;2011—2018年31个省区市黑龙江旅游网络关注度空间差异较大、季节性影响显著;东部地区黑龙江旅游网络关注度偏高,西部地区黑龙江旅游网络关注度的季节差异最明显;东部地区内的黑龙江旅游网络关注度差异性最小,西部地区内差异性最大;黑龙江旅游网络关注度具有正空间自相关,部分东部、中部地区表现为高高集聚,多数西部地区表现为低低集聚.

关 键 词:黑龙江旅游  网络关注度  时空演变

Research on the Temporal and Spatial Evolution Characteristics of Tourism Network Attention in Heilongjiang Province
Lü Bo,WANG Hui,HE Yue,ZHOU Zhong-hong.Research on the Temporal and Spatial Evolution Characteristics of Tourism Network Attention in Heilongjiang Province[J].SCIENCE TECHNOLOGY AND INDUSTRIAL,2021,21(10):252-259.
Authors:Lü Bo  WANG Hui  HE Yue  ZHOU Zhong-hong
Abstract:Exploring the temporal and spatial evolution characteristics of Heilongjiang''s tourism network attention is of great significance to the sound development of Heilongjiang''s tourism industry. Use Baidu Index to obtain the daily search index data of Heilongjiang tourism network attention in the whole country and by region from 2011 to 2018. Study its evolution characteristics from three aspects: time distribution, space distribution, and time-space agglomeration. Research shows that: The inter-annual change of the national Heilongjiang tourism network attention from 2011 to 2018 showed an overall upward trend. The inter-month change showed a "W" shape. From 2011 to 2018, 31 provinces (cities, districts) in Heilongjiang have large differences in their tourism network attention span and seasonal effects. Heilongjiang tourism network in the eastern region has a high degree of attention. The seasonal difference in the degree of attention of Heilongjiang''s tourism network in the western region is the most obvious. Heilongjiang tourism network in the eastern region has the least difference in attention degree, and the western region has the largest difference. Heilongjiang tourism network attention has a positive spatial autocorrelation. Some eastern and central regions show high-high agglomeration, and most western regions show low-low agglomeration.
Keywords:Heilongjiang tourism  network attention  space-time evolution
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