| 基于多源数据融合的山地型旅游区游客时空行为研究 |
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| 引用本文： | 李亚娟,欧阳辰星,虞虎.基于多源数据融合的山地型旅游区游客时空行为研究[J].地球信息科学,2022,24(11):2171-2185. |
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| 作者姓名： | 李亚娟 欧阳辰星 虞虎 |
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| 作者单位： | 1.华中师范大学中国旅游研究院武汉分院，武汉 4300792.华中师范大学城市与环境科学学院，武汉 4300793.中国科学院地理科学与资源研究所，北京 100101 |
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| 基金项目： | 国家社会科学基金项目(20CMZ033) |
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| 摘 要： | 随着旅游者对休闲娱乐类旅游需求的不断增加，山地型旅游区已成为最受欢迎的旅游目的地之一，利用新兴且高效的轨迹记录方式挖掘山地型旅游区游客在小尺度范围内动态的时空行为特征和制约因素，对旅游区线路设计和旅游产品优化尤为重要，也将为山地型旅游区的深化发展和科学管理提供建议。本文以湖北省恩施州恩施大峡谷为案例地，基于“六只脚”平台的GNSS轨迹及位置照片数据，结合GIS在线地图绘制的景区路网和从BigMap平台获取的POI数据，选择GNSS轨迹栅格化的概念模式解析出恩施大峡谷游客轨迹的时空行为特征，尝试探讨与其他类别旅游区时空行为特征的差异，从而总结出山地型旅游区的行为特征，并通过网络点评数据和游记文本等网络文本挖掘行为特征形成的影响因素。研究表明：① 月份和季相层面，游客行为5月游客量处于峰值，节日效应明显，短假期效应较强；淡旺季游客行为轨迹呈非集聚性，旺季游客量主要受气候条件影响呈不稳定态势；② 游客行为轨迹于11:00-14:00游客量达到顶峰，日内结束时间相对较早，且兴趣点选择偏向知名度高的七星寨景区；③ 空间分布特征层面，受时空因素控制，单一路径景区轨迹集中度较强；④ 不同性别的游客拍照行为均偏向于高质量景区，但分布状态存在差异，男性拍照行为多呈片状和线状分布，女性多呈点状分布。本研究尝试以新数据和新方法探讨山地型旅游区游客的时空行为特征，旨在促进山地型旅游地的持续和高质量发展。
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| 关 键 词： | 山地型旅游区 游客时空行为 “六只脚”旅行平台 GNSS轨迹 位置照片 数据栅格化 影响因素 恩施大峡谷 |
| 收稿时间： | 2021-11-29 |
Spatiotemporal Behavior of Tourists in Upland Tourism Area based on Multi Source Data |
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| LI Yajuan,OUYANG Chenxing,YU Hu.Spatiotemporal Behavior of Tourists in Upland Tourism Area based on Multi Source Data[J].Geo-information Science,2022,24(11):2171-2185. |
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| Authors: | LI Yajuan OUYANG Chenxing YU Hu |
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| Institution: | 1. Wuhan Branch of China Tourism Academy, Central China Normal University, Wuhan 430079, China2. School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China3. Institute of Geographical Sciences and Resources, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | With the increasing demand of tourists for leisure and entertainment tourism, upland tourism area has become one of the most popular tourism destinations. Applying the emerging and efficient track recording method to dig the dynamic spatio-temporal behavior characteristics and constraints of tourists in upland tourism area at a small scale is particularly important for the route design of upland tourism area and the optimization of upland tourism products. It will also provide suggestions for deepening development and scientific management of upland tourism area. Taking Enshi Grand Canyon in Enshi Prefecture, Hubei Province as an example, this study combines GNSS track and location photo data from "six feet" platform with the scenic spot road network drawn by GIS online map and the POI data obtained from BigMap. This paper selects the conceptual model of GNSS track rasterization to express the temporal and spatial behavior characteristics of tourist tracks in Enshi Grand Canyon, attempts to explore the differences of temporal and spatial behavior characteristics between other types of tourism areas, summarizes the behavior characteristics of upland tourism area, and reveals the influencing factors of behavior characteristics through network comments and travel notes. The results show that: ① At the level of month and season, the tourist behavior in Enshi Grand Canyon is at the peak in May. The holiday effect is obvious, and short holiday tour is preferred. The behavior trajectory of tourists in off and peak seasons has no agglomeration, and the number of tourists in peak seasons is unstable which is mainly affected by climate conditions; ② The tourist behavior trajectory reaches the peak at 11 to 14 o'clock, the tour ends earlier than other types of scenic spots, and the interest points of tourists are in the well-known spot; ③ In terms of spatial distribution characteristics, the trajectory concentration of Qixingzhai scenic spot with a single path is strong controlled by temporal and spatial factors, and its behavior trajectory density is higher than that of Yunlong Difeng scenic spot; ④ All the tourists tend to take pictures in high-quality scenic spot, but there are differences in its distribution for men and women. Men's photographing behavior is mostly in polygon and linear distribution, while women’s photographing behavior is mostly in point distribution. This paper tries to explore the temporal and spatial behavior of tourists in upland tourism area with new data and methods, in the hope of promoting high quality and continuous development of upland tourism areas. |
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| Keywords: | upland tourism area tourists' spatiotemporal behavior "six feet" travel platform GNSS track location photos data rasterization influencing factors Enshi Grand Canyon |
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