JOURNAL OF NATURAL RESOURCES ›› 2021, Vol. 36 ›› Issue (2): 315-326.doi: 10.31497/zrzyxb.20210204

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Spatial patterns and moving trajectory of inbound tourists based on geo-tagged photos:A case study of Nanjing city

LU Shu-ying1,2(), HUANG Xin3, TAO Zhuo-min1,2()   

  1. 1. School of Geographical Science, Nanjing Normal University, Nanjing 210023, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    3. School of Tourism Sciences, Beijing International Studies University, Beijing 100024, China
  • Received:2019-06-20 Revised:2019-09-04 Online:2021-02-28 Published:2021-04-28
  • Contact: TAO Zhuo-min E-mail:nnulushuying@163.com;Taozm@tom.com

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