Ranking spaces for predicting human movement in an urban environment

@article{Jiang2009RankingSF,
  title={Ranking spaces for predicting human movement in an urban environment},
  author={Bin Jiang},
  journal={International Journal of Geographical Information Science},
  year={2009},
  volume={23},
  pages={823 - 837}
}
  • Bin Jiang
  • Published 2009
  • Mathematics, Physics, Computer Science
  • International Journal of Geographical Information Science
  • A city can be topologically represented as a connectivity graph, consisting of nodes representing individual spaces and links if the corresponding spaces are intersected. It turns out in the space syntax literature that some defined topological metrics can capture human movement rates in individual spaces. In other words, the topological metrics are significantly correlated to human movement rates, and individual spaces can be ranked by the metrics for predicting human movement. However, this… CONTINUE READING
    127 Citations

    Topics from this paper

    Can cognitive inferences be made from aggregate traffic flow data?
    • 17
    Using qualitative distance metrics in space syntax and configurational analyses
    • 4
    • PDF
    Geographically Modified PageRank Algorithms: Identifying the Spatial Concentration of Human Movement in a Geospatial Network
    • 25
    • Highly Influenced
    • PDF
    Street‐based topological representations and analyses for predicting traffic flow in GIS
    • 118
    • PDF
    Self-organized natural roads for predicting traffic flow: a sensitivity study
    • 136
    • PDF
    An algorithm for ranking the nodes of an urban network based on the concept of PageRank vector
    • 45
    Assessment of lively street network based on geographic information system and space syntax
    • 45
    • PDF
    To move through space: lines of vision and movement
    • 23
    • PDF

    References

    SHOWING 1-10 OF 43 REFERENCES
    Network and Psychological Effects in Urban Movement
    • 456
    • PDF
    Street‐based topological representations and analyses for predicting traffic flow in GIS
    • 118
    • PDF
    Topological Analysis of Urban Street Networks
    • 453
    • PDF
    The network analysis of urban streets: A dual approach
    • 539
    • PDF
    A topological pattern of urban street networks: Universality and peculiarity
    • 238
    • PDF
    A new theory of space syntax
    • 116
    • PDF
    The Hidden Geometry of Deformed Grids: Or, Why Space Syntax Works, When it Looks as Though it Shouldn't
    • 206
    • Highly Influential
    • PDF
    Space Syntax: Some Inconsistencies
    • 300