2011•Unpublished venueRequires access

Spatial structure of tourist attractions in Nanjing, China — Based on statistical analysis of 317 tourist attractions

Lei Ding, Yu Wang, Fangyi Zhang, Xiaogen Wu, Shu Tang

Open publisher page 5 citations

Abstract

Based on the researches carried out by Nanjing University Subject Group in Nanjing Tourist Resources Census (2002-2003), this paper selected 317 samples of tourist attractions that have relatively high quality resources, high development potential and high representativeness in reflecting the direction of tourism development in Nanjing, China, measured the Euclidean distance between 317 tourist attractions and their nearest scenic spots using ArcGIS 9.3, analyzed the density of 317 tourist attractions, and meanwhile conducted quantitative analysis with mathematical methods for geography, and thus analyze the factors that influence the spatial structure distribution of Nanjing tourist attractions. The paper has found that the spatial distribution of Nanjing tourist attractions is cohesive, with low regional distribution equilibrium, large district (county) difference; the areas with high-density tourist attractions include Xuanwu District, Drum Tower District, Qinhuai District and Baixia District, while Jiangning District, Luhe District and Pukou District does not have high-density tourist attractions.

About this research paper

What this paper is about

Based on the researches carried out by Nanjing University Subject Group in Nanjing Tourist Resources Census (2002-2003), this paper selected 317 samples of tourist attractions that have relatively high quality resources, high development potential and high representativeness in reflecting the direction of tourism development in Nanjing, China, measured the Euclidean distance between 317 tourist attractions and their nearest scenic spots using ArcGIS 9.3, analyzed the density of 317 tourist attractions, and meanwhile conducted quantitative analysis with mathematical methods for geography, and thus analyze the factors that influence the spatial structure distribution of Nanjing tourist attractions. The paper has found that the spatial distribution of Nanjing tourist attractions is cohesive, with low regional distribution equilibrium, large district (county) difference; the areas with high-density tourist attractions include Xuanwu District, Drum Tower District, Qinhuai District and Baixia District, while Jiangning District, Luhe District and Pukou District does not have high-density tourist attractions.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Based on the researches carried out by Nanjing University Subject Group in Nanjing Tourist Resources Census (2002-2003), this paper selected 317 samples of tourist attractions that have relatively high quality resources, high development potential and high representativeness in reflecting the direction of tourism development in Nanjing, China, measured the Euclidean distance between 317 tourist attractions and their nearest scenic spots using ArcGIS 9.3, analyzed the density of 317 tourist attractions, and meanwhile conducted quantitative analysis with mathematical methods for geography, and thus analyze the factors that influence the spatial structure distribution of Nanjing tourist attractions. The paper has found that the spatial distribution of Nanjing tourist attractions is cohesive, with low regional distribution equilibrium, large district (county) difference; the areas with high-density tourist attractions include Xuanwu District, Drum Tower District, Qinhuai District and Baixia District, while Jiangning District, Luhe District and Pukou District does not have high-density tourist attractions.

Key concepts: Tourism, China, Geography, Distribution (mathematics), Spatial distribution, Regional science, Mathematics, Remote sensing

Related papers

Back to paper searchBrowse research topicsOriginal source
Spatial structure of tourist attractions in Nanjing, China — Based on statistical analysis of 317 tourist attractions — Research Paper | ScholarLens