基于地理标记照片的入境游客空间特征与移动轨迹——以南京市为例

doi:10.31497/zrzyxb.20210204

摘要/Abstract

摘要：

随着互联网与社交媒体的兴起,用户分享内容中的地理标记数据成为旅游流研究的重要对象。以南京入境旅游流空间特征为研究对象,以2010—2018年Flickr平台内南京地理标记照片为基础,利用DBSCAN算法、ArcGIS 10.2等方法与技术探究南京入境旅游热点区域、游客移动轨迹特征及模式。研究结果显示：（1）南京入境游客访问峰值出现在3-6月及10月,以一日游为主。（2）南京AOI空间分布差异明显,历史城区是南京入境旅游最热门区域,其AOI分布与旅游景区、商业购物等相关产业空间高度重合;中心城区的AOI分布数量次之,钟山风景区是其热度核心,深受热衷历史文化的游客追捧;郊区的AOI分布数量最少,基本与当地旅游景区相吻合。（3）单日游和多日游的游客移动轨迹网具有显著差异性,分别体现在网络范围、网络体系、旅游对流及转移差值4个方面。（4）南京入境游客移动轨迹模式可划分为区域内部移动轨迹模式和区域间移动轨迹模式。根据上述研究结果,分别针对历史城区、中心城区及郊区提出相应的发展建议。

关键词: 地理标记照片, 入境旅游流, 空间特征, 移动轨迹, 南京市

Abstract:

With the rise of the Internet and social media, geo-tagged data in the sharing of users has become an important content of tourism flow research. Based on the photos of on the Flickr platform during 2010-2018, this study takes the spatial characteristics of Nanjing inbound tourism flow as the research object, and uses the methods of DBSCAN algorithm, ArcGIS 10.2 and others to explore inbound tourism hotspots area, the features of moving trajectory and patterns of Nanjing. The results of the study show that: (1) The peak of inbound visits occurred in March-June and October, and the tourists mainly took one-day trips. (2) There are obvious differences in the spatial distribution of Area of Interest (AOI) in Nanjing. The historical urban district (HUD) is most popular for inbound tourists, and has the largest number of AOI, followed by the central urban area (CUA), and the suburbs. The distribution of AOI in the HUD is highly coincident with its related industrial space, such as tourist attractions and commercial shopping centers; Zhongshan Scenic Area in the CUA is a hotspot for tourists who are interested in history and culture; the distribution of AOI in the suburbs is basically consistent with that of local tourist attractions. (3) There are great differences in moving trajectories between single-day and multi-day trips, which are reflected in the network scope, network system, tourism inflow and outflow, and transfer difference. (4) The patterns of inbound moving trajectory can be divided into intra-area pattern and inter-area pattern. Based on the above results, suggestions are proposed for development of historical urban area, central urban area and the suburbs.

Key words: geo-tagged photos, inbound tourism flow, spatial characteristics, moving trajectory, Nanjing city

卢淑莹, 黄鑫, 陶卓民. 基于地理标记照片的入境游客空间特征与移动轨迹——以南京市为例[J]. 自然资源学报, 2021, 36(2): 315-326.

LU Shu-ying, HUANG Xin, TAO Zhuo-min. Spatial patterns and moving trajectory of inbound tourists based on geo-tagged photos:A case study of Nanjing city[J]. JOURNAL OF NATURAL RESOURCES, 2021, 36(2): 315-326.

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所属区域	热点区域	具体地点	排名	访客量/名
历史城区	玄武湖鸡鸣寺片区	玄武湖公园、鸡鸣寺、神策门至解放门城墙、南京站等	1	273
	夫子庙秦淮河片区	夫子庙、秦淮河、瞻园、东水关等	3	227
	新街口总统府片区	新街口、总统府、净觉寺、郑和公园等	4	142
	阅江楼仪凤门片区	阅江楼、仪凤门至定淮门城墙、南京长江大桥等	5	117
	中华门大报恩寺片区	中华门瓮城、朝天宫、大报恩寺遗址公园等	6	65
	南大东南鼓楼片区	南京大学、东南大学、鼓楼公园、紫峰大厦、清凉山等	7	57
	南京博物院明故宫片区	南京博物院、明故宫遗址、太平门至光华门城墙等	10	38
中心城区	钟山风景区	紫金山天文台、中山陵、明孝陵、灵谷寺等	2	232
	雨花台片区	雨花台风景区、南京科技馆、花神湖、南京南站等	8	54
	侵华日军南京大屠杀遇难同胞纪念馆片区	侵华日军南京大屠杀遇难同胞纪念馆、莫愁湖公园等	9	46
	栖霞山仙林大学城片区	栖霞山、南京大学仙林校区等	12	29
	河西CBD	绿博园、奥体中心、国际博览中心等	13	17
郊区	浦口片区	浦口火车站、四方美术馆、老山森林公园等	15	9
	牛首汤山片区	牛首山、汤山等	11	30
	南京禄口机场	南京国际禄口机场	14	15
	溧水片区	傅家边、观音禅寺、无想山等	16	4