A Structural Approach to Model Generalisation of an Urban Street Network

نویسندگان

  • B. Jiang
  • C. Claramunt
چکیده

This paper proposes a novel generalisation model for selecting characteristic streets in an urban street network. This model retains the central structure of a street network, it relies on a structural representation of a street network using graph principles where vertices represent named streets and links represent street intersections. Based on this representation, so-called connectivity graph, local and global measures are introduced to qualify the status of each individual vertex within the graph. Two streets selection algorithms based on these structural measures are introduced and implemented. The proposed approach is validated with a case study applied to a middle-sized Swedish city.

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تاریخ انتشار 2002