• DocumentCode
    2707443
  • Title

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

  • Author

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

  • Author_Institution
    Sch. of Geographic & Oceaographic Sci., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • 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.
  • Keywords
    geographic information systems; statistical analysis; travel industry; ArcGIS 9.3; Baixia District; Drum Tower District; Euclidean distance; Jiangning District; Luhe District; Pukou District; Qinhuai District; Xuanwu District; geography; regional distribution equilibrium; spatial structure distribution; statistical analysis; tourism development; tourist attraction; Cities and towns; Cultural differences; Economics; Indexes; Poles and towers; Rivers; ArcGIS; Nanjing; mathematical methods for geography; tourism spatial structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980771
  • Filename
    5980771