Title
Test Networks from "Measuring the Structure of Road Networks"
Published Date
2016-07-13
Authors
Author Contact
Levinson, David M (dlevinson@umn.edu)
Type
Dataset
Experimental Data
Abstract
Fig. 5 displays four base networks , 15 x 15 90° network (A0), 15 x 15 45° network (B0), and 15 x 15 30° network (C0), and 4 x 4 complete network (D0), as well as 12 network structures derived from them (three for each). As can be seen, links have been specified as five different hierarchies [1-5]. The boldness and grayness of a link indicates its hierarchy level and a bolder and darker link represents a road of a higher hierarchy. This study examines these 16 networks with proposed structural measures. (p 348 of Xie and Levinson (2007) Measuring the Structure of Road Networks)
Description
The networks used in Figure 5 (Xie and Levinson (2007) Measuring the Structure of Road Networks) are in 16 simple ASCII node and link tables. The 12 derived network structures are obtained by using a simulation model called the degeneration model (Xie and Levinson (2008) The weakest link: The decline of the surface transportation network). The simulator are written in Java and named "SOUND – System for Ultraconnected Network Degeneration" (Xie and Levinson (2016).
Referenced by
Xie, Feng and David Levinson. (2007). Measuring the Structure of Road Networks. Geographical Analysis, 39(3), 336-356.
Related to
Simulator used to produce the data:
Xie, Feng; Levinson, David M. (2016). SOUND – System for Ultraconnected Network Degeneration (with code to analyze network geometrics). Retrieved from the Data Repository for the University of Minnesota.
Methodology used in the simulation:
Xie, Feng and David Levinson (2008) The Weakest Link: A Model of the Decline of Surface Transportation Networks. Transportation Research part E 44 100-113. Paper available at: University of Minnesota Digital Conservancy,
License
CC0 1.0 Universal Public Domain Dedication
Suggested Citation
Levinson, David M; Xie, Feng.
(2016). Test Networks from "Measuring the Structure of Road Networks".
Retrieved from the Data Repository for the University of Minnesota,
http://doi.org/10.13020/D6C30V.
