本文借助网络游记文本,运用ROST-CM和Arcgis软件,通过语义网络分析和解读,并拾取地理位置信息,研究新疆自驾游客流的时空特征。研究发现:新疆自驾车旅游游客出游时间集中程度高,年内分布不均匀,主要集中在7月、8月和9月,旅游淡旺季明显;新疆自驾游的客源市场高度集中于北京、上海和广东等发达地区,东部沿海地区和中部经济较发达的湖北省、重庆市等也是新疆重要的自驾游的客源地,新疆本地自驾游的客源市场潜力大,临近省份客源比例不高;新疆自驾游客流活动空间分布范围广,多呈片状或带状分布,空间密度分布不均衡,冷热点区和圈层分布明显;新疆自驾车游客活动空间轨迹呈多边形多个核心节点放射状,北疆节点联结密度高于南疆和东疆,北疆联结点集中在乌鲁木齐市、克拉玛依市和伊宁市等地,东疆主要联结点为哈密地区的哈密市、巴里坤县、淖毛湖镇等地,南疆联结点主要聚集于喀什地区与和田地区,呈大分散小集聚联结的特点。
Based on the network travel notes and using ROST-CM and Arcgis software, This paper analyzes the space-time characteristics of Xinjiang's self-driving tourist flow through interpretation of the semantic network, and picking up the geographic location information The following findings were obtained: (1) The temporal characteristics of Xinjiang's self- driving tourist flows are high concentration degree and uneven distribution during the year, mainly in July, August and September. So tourist season is obvious. (2) The self-driving tourist market in Xinjiang is highly concentrated in more developed regions such as Beijing, Shanghai, and Guangdong, and the eastern coastal regions and the more developed areas of the central region,including Hubei and Chongqing etc., The local self-driving tourist market in Xinjiang has a large potential, and the proportion of tourists from the neighboring provinces is not high.(3)The spatial distribution of Xinjiang's self- driving is wide,performing the attribute of patchy and zonal distribution. The spatial density is uneven, the cold and hot spots with circle distribution is obvious. (4) The spatial trajectory of self-driving tourists in Xinjiang is radial with multiple core nodes. The density of nodes in northern Xinjiang is higher than that in southern Xinjiang and eastern Xinjiang. The connecting points in northern Xinjiang are concentrated in Urumqi, Karamay, Yining etc. The points in eastern Xinjiang are Hami City, Balikun, Naomaohu Town in the Hami region. The junctions in southern Xinjiang are mainly concentrated in the Kashgar and the Hetian region, showing a trend of a large dispersion and a small concentration.
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