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作 者:彭墨宇 王娟 高钰 Peng Moyu;Wang Juan;Gao Yu(The National Center for cultural industry,Central China Normal University,Wuhan 430079,China;The college of Tourism,Xinyang Normal University,Xinyang 464000,China;College of Urban and Environmental Sciences,Central China Normal University,Wuhan 430079,China)
机构地区:[1]华中师范大学国家文化产业中心,湖北武汉430079 [2]信阳师范学院旅游学院,河南信阳464000 [3]华中师范大学城市与环境科学学院,湖北武汉430079
出 处:《科技创业月刊》2023年第2期96-101,共6页Journal of Entrepreneurship in Science & Technology
基 金:河南省哲学社会科学规划项目“城市旅游空间演变机理及精细化治理研究”(2019CJJ085)。
摘 要:“互联网+旅游”、智慧旅游为城市旅游空间研究提供了新的思路和方法。基于百度地图热力图数据,以武汉为案例地,选取旅游淡季向旅游旺季转变过程中的5个时间节点,使用ArcGIS空间分析工具,计算空间热力值,以此识别城市总体空间结构并探索城市旅游空间的演变特征。研究发现:(1)百度地图热力图在城市空间结构特征识别方面具有良好的应用效果,可较为直观且明确的识别中心城区边界、判别区分城市各地区的发展阶段,掌握其发展方向;(2)旅游者在城市内部中的分布既具有广泛性和随机性,又呈显著的地域集中性,旅游者对传统旅游空间仍然保持高度热情;(3)百度地图热力图在量化评估旅游旺季带来的城市空间压力方面具有应用潜力,案例中,城市空间高热力值区域的面积在旅游旺季相较旅游淡季增长了66%,并且空间分布高度集中;(4)在旅游旺季时,当地居民有意或无意地把本地城市空间区腾挪给了游客,即城市空间使用者在应对旅游淡旺季时具有一定的自组织特性。The birth of “Internet tourism”,smart tourism providing new ideas and methods for the study of urban tourism space.Based on the Baidu heat map data and taking Wuhan as the case,this paper selects five time nodes in the transformation process from tourism off season to peak season to calculate the spatial thermal value by applying ArcGIS spatial analysis tools,so as to identify the overall spatial structure of the city and explore the evolution characteristics of urban tourism space.The results indicate that:(1)Baidu heat map is applicable for urban spatial structure identification,especially in identifying the central city boundary,the development stage of different city areas and the city spatial expansion directions;(2)Tourists distribution shows both dispersibility and concentricity,and they still have high enthusiasm for traditional tourism space;(3)Baidu heat map is a high potential data source in quantitative evaluation research of urban space pressure brought by tourism peak season.In the case of this paper,the area of high spatial thermal value increased by 66% in the peak season compared with the low season,and the spatial distribution is highly concentrated;(4) local residents consciously or unconsciously release urban space to tourists in peak season,that is,urban users are self-organized to cope with the tourism peak season.
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