| Full text | |
| Author(s): |
Tokuda, Eric K.
;
Comin, Cesar H.
;
Costa, Luciano da F.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT; v. 2022, n. 10, p. 20-pg., 2022-10-01. |
| Abstract | |
Several natural and artificial structures and systems are somehow optimized for performing specific functionalities. The structure and topology of cities are no exception, as it is critically important to ensure effective access to the several resources as well as overall mobility. The present work addresses the important subject of improving the plan of a given city through the incorporation of avenues and other expressways such as bridges and tunnels. More specifically, we start with the topology of a real city and consider the incorporation of an expressway between any two locations in the city, keeping one location fixed and varying the angle of the other. The whole city area is covered in this manner, which allows us to derive a respective energy surface indicating the gain obtained regarding the average shortest path length for each of the possible situations. These surfaces therefore provide a complete picture of how much each city can be improved regarding minimal distances. Quite distinct surfaces have been obtained for 18 considered European cities. These surfaces are then characterized in terms of the number of local extrema and respective spatial complexity, expressed in terms of a raggedness measurement. Measurements are also obtained respectively to the geometry and topology of the considered cities. It is shown that the shortest path gain depends strongly on some of the considered measurements, especially lacunarity and transitivity. Interestingly, the intricacy of the energy surfaces resulted in relatively little correlation with the topological and geometrical measurements. (AU) | |
| FAPESP's process: | 18/09125-4 - Representation, characterization and modeling of biological images using complex networks |
| Grantee: | Cesar Henrique Comin |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 21/12354-8 - Analysis and refinement of machine learning methods for blood vessel morphometry |
| Grantee: | Cesar Henrique Comin |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 19/01077-3 - Integrating computer vision and complex networks for urban analysis |
| Grantee: | Eric Keiji Tokuda |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |