摘要
自驾游正发展成为大众旅游时代的新模式,通过探索自驾旅游流的时空分布和空间网络特征,明确其时空格局的演化机制.以新疆地区为例,采用频次指数统计自驾旅游流跨时间年度、季节、节假日的游客数量,利用GIS空间分析方法阐明旅游流时空分布特征;根据实际需求基于社会网络分析方法中的多个指标建立综合评价体系,深入探究自驾旅游流的网络结构和相互关系.结果表明:新疆自驾游旅游流在时间分布特征方面具有多样性,受季节和节假日的影响,依然保持了持续吸引游客的稳定趋势;在空间分布特征方面,标准差椭圆的重心表明自驾旅游流在空间分布上更偏向新疆西北地区,标准差椭圆长短半轴差距显示旅游流在不同年份之间的分布相对稳定;在空间网络特征方面,新疆自驾旅游流整体网络间存在“涓滴效应”,自驾游客的移动路径和主要聚集区域呈现以乌鲁木齐市为核心,辐射向伊犁、阿勒泰、喀什等三个方向的趋势;旅游节点之间的关联不紧密,辐射牵动作用不明显,旅游流分布较为疏散且呈现明显的规模-序列表征.
Self-driving tourism is developing into a new mode in the era of mass tourism,and the evolution mechanism of its spatio-temporal pattern is clarified by exploring the spatio-temporal distribution and spatial network characteristics of self-driving tourism flows.Taking Xinjiang region as an example,the frequency index is used to count the number of tourists of self-driving tourism flow across years,seasons and holidays,and the spatial analysis method of GIS is utilized to elucidate the spatio-temporal distribution characteristics of the tourism flow;based on a number of indexes in the method of social network analysis according to the actual demand a comprehensive evaluation system is established,and the network structure and interrelationships of the self-driving tourism flow are explored in depth.The results show that:the self-driving tourism flow in Xinjiang is diversified in terms of temporal distribution characteristics,and still maintains a stable trend of continuously attracting tourists under the influence of seasons and holidays;in terms of spatial distribution characteristics,the center of gravity of the standard deviation ellipse indicates that the self-driving tourism flow is more inclined to the northwestern region of Xinjiang in spatial distribution,and the difference between the long and short semiaxes of the standard deviation ellipse indicates that the distribution of the tourism flow is relatively stable between different years;In terms of spatial network characteristics,there is a“trickle-down effect”between the overall network of self-driving tourism flows in Xinjiang,and the movement paths and main gathering areas of self-driving tourists show the trend of taking Urumqi as the core and radiating to the three directions of Yili,Altay,and Kashgar,etc.;the correlation between tourism nodes is not close,and the radiative effect is not obvious,and the distribution of tourism flows is more sparse and shows a clear scale.
作者
朱兴林
黄巧燕
姚亮
吐尔逊·买买提
刘泓君
ZHU Xing-lin;HUANG Qiao-yan;YAO Liang;Turun MAMAT;LIU Hong-jun(School of Transportation and Logistics Engineering,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China)
出处
《西北师范大学学报（自然科学版）》
CAS
2024年第2期123-134,共12页
Journal of Northwest Normal University(Natural Science)
基金
交通强国驱动的交通工程专业新工科人才培养体系转型升级探索与实践(XIGXPTJG-202213)
交通运输工程校级重点学科开放课题(XJAUTE2022K02)
中国学位与研究生教育学会项目(2020MSA274)。
关键词
自驾旅游流
GIS空间分析法
社会网络分析方法
时空分布特征
空间网络特征
self-driving tourism flows
GIS spatial analysis method
social network analysis method
spatio-temporal distribution characteristics
spatial network characteristics
