基于大数据的洛阳市旅游流时空分布特征

发布时间：2018-07-05 15:14

本文选题：大数据 + 旅游流　；参考：《经济地理》2017年08期

【摘要】：在大数据背景之下,基于洛阳市游客新浪微博签到数据,应用游客新浪微博签到频次、时间分层法、核密度空间分析法,分析了洛阳市旅游流年内时空分布特征,所得结论如下:(1)洛阳市旅游客流量年内变化总体上呈"双峰山岭"型分布特征,两个较为突出主峰分别对应洛阳牡丹文化节、十一黄金周,客流量在不同的时段表现出明显的相似性、对称性、反季节性等变化特征。(2)从客流量年内多重尺度时间变化上看,呈现出春季客流量夏季客流量秋季客流量冬季客流量的变化趋势,月内变化曲线呈现出类似锯齿状的突峰型或凹谷型,不断起伏的高峰分别对应双休日和传统节假日,周内变化曲线呈现出明显的"翘尾"形,星期六和星期天客流量最大,日内变化曲线整体呈现"平勺"形特征。(3)洛阳市旅游流空间分布形态呈现出"小型化、斑块化、大分散、小集散"和"一核多中心"的特征,热点区倾向于向高等级旅游景区聚集、城市中心城区集聚、重要交通设施集聚。(4)洛阳市旅游流日内各时段空间分布特征大致相同,变化主要发生在主城区,根据空间相似性,可分为两个阶段,0~9时段为游客休整期,旅游者活动较少,空间分布范围较小,9~24时段为游客游览和夜生活期,游客较为活跃,活动范围较广。
[Abstract]:Under the background of big data, based on the signature data of tourist Sina Weibo in Luoyang city, this paper analyzes the spatial and temporal distribution characteristics of tourism in Luoyang by using the method of time stratification, time stratification and nuclear density spatial analysis. The conclusions are as follows: (1) the change of tourist flow in Luoyang city is "double peak mountain" type, and two main peaks correspond to Luoyang Peony Culture Festival and National Day, respectively. The passenger flow shows obvious similarity, symmetry, anti-seasonality and other characteristics in different periods. (2) from the point of view of the multi-scale time variation of the passenger flow in the year, It shows the trend of winter passenger flow in spring and summer, and the curve of monthly change is similar to the zigzag peak or concave valley, and the undulating peak corresponds to the double rest day and the traditional holiday, respectively. During the week, the curve showed an obvious "curving tail" shape, with the largest passenger flow on Saturdays and Sundays, and a "flat spoon" shape on the whole. (3) the spatial distribution of tourism flows in Luoyang showed "miniaturization, plaque and dispersion". The characteristics of "small distribution" and "one core multi-center" show that the hot spots tend to gather to the high grade tourist spots, the central urban areas and the important transportation facilities. (4) the spatial distribution characteristics of each period of Luoyang tourism flow day are roughly the same. The changes mainly occurred in the main urban area. According to the spatial similarity, they can be divided into two stages: the rest period of tourists, the less activities of tourists, the smaller range of spatial distribution, the period of tourists' sightseeing and night life, and the active period of tourists. The range of activities is relatively wide.
【作者单位】：中原经济区智慧旅游河南省协同创新中心;河南大学环境与规划学院;
【基金】：国家重点计划研发项目(2016YEF0104600) 国家自然科学基金重点项目(41601145) 中原经济区智慧旅游河南省协同创新中心开放课题(2015-ZHLV-006、2015-ZHLV-012)
【分类号】：F592.7

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