基于在线平台的旅游信息流流空间特征——以珠江—西江经济带核心城市为例

doi:10.16088/j.issn.1001-6600.2019050804

摘要/Abstract

摘要： 提出基于在线平台的旅游信息流流空间特征定量研究普适方案,并以珠江—西江经济带为典型区域展开研究,通过5大在线旅游平台获取经济带11个核心城市2019年旅游信息流有效数据,构建旅游信息流关联矩阵,继而从流向与流量特征、规模特征、主从关系特征3方面,对经济带旅游信息流的流空间特征进行全面刻画,为该区旅游一体化发展提供科学依据,为旅游信息流研究提供新的视角与方法。结果表明:1)省会城市广州和南宁既是经济带旅游信息流的主要聚集城市又是主要输出城市,非省会城市中有特色旅游资源的崇左、百色是旅游信息流的主要聚集城市。省会城市之间和有特色旅游资源的非省会城市之间的顺、逆向旅游信息流流量基本相当,省会城市与有特色旅游资源的非省会城市之间旅游信息流顺、逆向流量差距悬殊;2)广州的旅游信息流规模远超经济带其他城市,有特色旅游资源的崇左、百色旅游信息流规模次之且两者基本相当,南宁、佛山旅游信息流规模再次,其他城市的旅游信息流规模均较低;3)经济带旅游信息流具有明显的流空间极化现象,广州是其主导型城市和规模最大的流空间节点。南宁、崇左、百色分别由第1大旅游信息优势流的次级主导发散型城市、次级主导聚集型城市与从属型城市转化为第2、3大优势流的次级主导聚集型城市、主导型城市与次级主导聚集型城市,表明旅游信息优势流的流向重心逐步向广西区内偏移,同时崇左、百色具有较为显著的次区域特征,是旅游信息流重要的流空间节点。其他城市均属于旅游信息流的从属型城市。

关键词: 旅游信息流, 流空间, 结构特征, 在线旅游平台, 核心城市, 珠江—西江经济带

Abstract: Tourism flow, as the foundation of tourism, is the essential areas of tourism geography research. Chinese scholars have made abundant achievements in the field of tourism flow research over the past 30 years. However, most of them focus on the tourist flow. However, the research on the tourism information flow which is the key factor that affects the tourist decision and then affects the tourism flow is rarely involved. Based on a universal scheme for quantitative research on the flow space structure features of tourism information flow, and taking the Pearl River-West River economic belt as the typical research area. 12 739 valid data of tourist information flow of 11 core cities in the Pearl River-West River economic belt (Guangzhou, Foshan, Yunfu, Zhaoqing, Nanning, Liuzhou, Laibin, Wuzhou, Baise, Chongzuo, Guigang) were obtained through 5 major online tourism platforms (Ctrip.com, Qunar.com, fliggy.com, ly.com and tuniu.com) in 2019. Firstly, the correlation matrix of tourism information flow is constructed. Then, this paper describes the flow space structure features of tourism information flow of 11 core cities in this region from 3 aspects: characteristics of direction and its rate, scale and principal-subordinate relationship of tourism information flow. Therefore, it provides a scientific basis for the construction and development of tourism integration of this area and a new perspective and method for the study of tourism flow. The results are obtained as follows: ①The provincial capital cities of Guangzhou and Nanning are not only the main gathering cities of tourism information flow in this region, but also the main export cities, and the aggregation and output of tourism information flow are 1.30, 2.55 and -0.13, 0.76 respectively. The non-provincial capital cities with special tourism resources of Chongzuo and Baise are the main gathering cities in this region, and the aggregation of tourism information flow are 1.74 and 1.55 respectively. The forward and backward flow of tourism information among the provincial capital cities and non-provincial capital cities with distinctive tourism resources is basically the same. Namely, the forward and backward flow of tourism information of Guangzhou$\leftrightarrows$Nanning and Chongzuo$\leftrightarrows$Baise are 0.55, 0.47, -0.25, -0.25. The difference of the forward and backward flow of tourism information between provincial capital cities and non-provincial capital cities with distinctive tourism resources is vast, such as Guangzhou$\leftrightarrows$Chongzuo (6.11, 0.11) and Guangzhou$\leftrightarrows$Baise (5.92, 0.26). ②Among 11 cities of this region, the scale of tourism information flow in Guangzhou (2.39) is far larger than that of other cities. Followed by Chongzuo (0.72) and Baise (0.62), with distinctive tourism resources, and their scales of tourism information flow are basically the same. Nanning (0.40), Foshan (0.22) take the fourth and fifth place. And other cities’ scales of tourism information flow are lower than the average level of this region. ③There is significant polarization of flow space for the tourism information flow in this region, and Guangzhou is the dominant city and the largest flow space node. Nanning, Chongzuo and Baise transformed from the sub-dominant divergent, gathering city and subordinate city of the first tourism information dominant flow to the sub-dominant gathering city, dominant city and sub-dominant gathering city of the second and third dominant flow respectively. It shows that the flow barycenter of tourism information dominant flow gradually shifts to Guangxi. At the same time, Baise and Chongzuo have obvious sub-regional characteristics. Other cities are subordinate cities of tourism information flow.

Key words: tourism information flow, flow space, structure features, online tourism platforms, core cities, Pearl River-West River economic belt

中图分类号:

K902

黄松, 王梦飞, 李燕林. 基于在线平台的旅游信息流流空间特征——以珠江—西江经济带核心城市为例[J]. 广西师范大学学报（自然科学版）, 2021, 39(2): 162-173.

HUANG Song, WANG Mengfei, LI Yanlin. Flow Space Features of Tourism Information Flow Based on Online Platforms:A Case Study of Core Cities in the Pearl River-West River Economic Belt[J]. Journal of Guangxi Normal University(Natural Science Edition), 2021, 39(2): 162-173.

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