Journal: Scientific Reports

Article Title: Improving transportation networks: Effects of population structure and decision making policies

doi: 10.1038/s41598-017-04892-2

Figure Lengend Snippet: Total transportation costs for a region with 12 towns for different node distributions and preexisting connecting networks. Empty symbols: Delaunay triangulation. Filled symbols: Complete network. Node configurations: circunference (magenta), circunference with a center (red), double circunference with a center (black) and random (blue). Smaller symbols correspond to individual realizations, larger symbols to the mean for each case (preexisting network/geographical distribution).

Article Snippet: To implement the Delaunay network, we used the built-in Matlab command delaunay.

Techniques:

Journal: Scientific Reports

Article Title: Improving transportation networks: Effects of population structure and decision making policies

doi: 10.1038/s41598-017-04892-2

Figure Lengend Snippet: Total transportation costs for a region with 9 (lower lines, smaller symbols), 12 (middle lines, mid-size symbols) and 25 (top lines, larger symbols) towns for a uniform node distribution and the two types of connecting networks considered. Empty symbols: Delaunay triangulation. Filled symbols: Complete network. The decision-making process is of type I (one town, one vote).

Article Snippet: To implement the Delaunay network, we used the built-in Matlab command delaunay.

Techniques:

Journal: Scientific Reports

Article Title: Improving transportation networks: Effects of population structure and decision making policies

doi: 10.1038/s41598-017-04892-2

Figure Lengend Snippet: Total transportation costs for a region with 12 towns for a uniform node distribution, the two types of connecting networks considered and the three decision-making processes. Empty symbols: Delaunay triangulation. Filled symbols: Complete network. The decision-making process is of type I (one town, one vote; triangles), type II (weighted by population, squares) and type III (weighted by traffic, circles).

Article Snippet: To implement the Delaunay network, we used the built-in Matlab command delaunay.

Techniques:

Journal: Scientific Reports

Article Title: Improving transportation networks: Effects of population structure and decision making policies

doi: 10.1038/s41598-017-04892-2

Figure Lengend Snippet: Total transportation costs for a region with 12 towns for the two types of connecting networks considered, the four geographical distributions and the three decision-making processes. Empty symbols: Delaunay triangulation. Filled symbols: Complete network. Node configurations: circunference (magenta), circunference with a center (red), double circunference with a center (black) and random (blue). The decision-making process is of type I (one town, one vote).

Article Snippet: To implement the Delaunay network, we used the built-in Matlab command delaunay.

Techniques:

Journal: Scientific Reports

Article Title: Improving transportation networks: Effects of population structure and decision making policies

doi: 10.1038/s41598-017-04892-2

Figure Lengend Snippet: Inequality in the distribution of centralities in terms of the Gini index for a region with 12 towns with a uniform node distribution, the Delaunay triangulation connecting networks considered and the three decision-making processes. The decision-making process is of type I (one town, one vote; triangles), type II (weighted by population, squares) and type III (weighted by traffic, circles). Yellow: betweenness centrality; red, degree centrality.

Article Snippet: To implement the Delaunay network, we used the built-in Matlab command delaunay.

Techniques:

Journal: Scientific Reports

Article Title: Improving transportation networks: Effects of population structure and decision making policies

doi: 10.1038/s41598-017-04892-2

Figure Lengend Snippet: Snapshot of the network of improved connections among 15 towns after 18 iterations in the four geographical distributions considered starting from a Delaunay network and the type I decision process.

Article Snippet: To implement the Delaunay network, we used the built-in Matlab command delaunay.

Techniques: