Volume IV-2/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 15-22, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-15-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 15-22, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-15-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2017

12 Sep 2017

REGIONAL DISPARITIES IN ONLINE MAP USER ACCESS VOLUME AND DETERMINING FACTORS

R. Li1,2, N. Yang1, R. Li1, W. Huang3, and H. Wu1,2 R. Li et al.
  • 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079,Wuhan, Hubei Province, P. R. China
  • 2Collaborative Innovation Center of Geospatial Technology, 430079,Wuhan, Hubei Province, P. R. China
  • 3National Geomatics Center of China, 100830, Beijing, P. R. China

Keywords: Online map, user access volume, regional disparities, principal component regression, determining factors

Abstract. The regional disparities of online map user access volume (use ‘user access volume’ in this paper to indicate briefly) is a topic of growing interest with the increment of popularity in public users, which helps to target the construction of geographic information services for different areas. At first place we statistically analysed the online map user access logs and quantified these regional access disparities on different scales. The results show that the volume of user access is decreasing from east to the west in China as a whole, while East China produces the most access volume; these cities are also the crucial economic and transport centres. Then Principal Component Regression (PCR) is applied to explore the regional disparities of user access volume. A determining model for Online Map access volume is proposed afterwards, which indicates that area scale is the primary determining factor for regional disparities, followed by public transport development level and public service development level. Other factors like user quality index and financial index have very limited influence on the user access volume. According to the study of regional disparities in user access volume, map providers can reasonably dispatch and allocate the data resources and service resources in each area and improve the operational efficiency of the Online Map server cluster.