Analyzing the effect of website information flow on realistic human flow using intelligent decision models

  • Authors:

  • Zi Lu;Ruiling Han;Jie Duan

  • Affiliations:

  • Hebei Key Laboratory of Environmental Change and Ecological Construction, Faculty of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050016, Hebei, China;Hebei Key Laboratory of Environmental Change and Ecological Construction, Faculty of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050016, Hebei, China;Hebei Key Laboratory of Environmental Change and Ecological Construction, Faculty of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050016, Hebei, China

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2010

Quantified Score

Hi-index 0.01

Visualization

Abstract

Website information flow has become a dominant flow pattern in regional interaction. To explain the effect of website information flow on human flow is one of the focuses of informational society geography. This paper first reviews related research results in this area and their practical significance for a comprehensive explanation of various effect functions based on utility theory. It then uses the data on Internet development in China and related intelligent decision models to calculate the effect function. Based on the findings, this paper explains the features of the effect of website information flow on realistic human flow from various aspects. Research results show that the effect of website information flow can be divided into substitution and enhancement, so that the relationship of the website information flow in guiding the human flow changes from one dimension to multi-dimensional morphology. The paper also indicates that, on one hand, website information flow is lagged to some extent, but is enhanced gradually and grows faster than realistic human flow; on the other hand, by comparing the evolution trend of the intensity of the two functions, it can be seen that the enhancement function occurs later than the substitution, but develops faster and has greater force. Following comparison between the simulation value and the actual value, it is proved that the effect of website information flow is basically in line with the relationship of realistic human flow. These results can support government and business in making decisions on web information publication.