Unveiling the complex connectivity of human needs in urban places. Towards a better understanding of the social dimension of sustainability
We present a methodology based on complex networks and maximal information methods that, using data from surveys on urban perception at two spatial levels, reveals the connectivity between human needs. Questions, linked to needs by their satisfiers, are represented by nodes, and correlation between...
| Autores: | , |
|---|---|
| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/82858 |
| Acceso en línea: | https://hdl.handle.net/2117/82858 |
| Access Level: | acceso abierto |
| Palabra clave: | Sustainable development--Social aspects human needs information strength complex networks human scale development urban places sustainability Desenvolupament sostenible--Aspectes socials Àrees temàtiques de la UPC::Desenvolupament humà i sostenible |
| Sumario: | We present a methodology based on complex networks and maximal information methods that, using data from surveys on urban perception at two spatial levels, reveals the connectivity between human needs. Questions, linked to needs by their satisfiers, are represented by nodes, and correlation between them by edges, weighted by the information strength of every pair of questions. Graph theory is applied to reveal the structure of the network. Our results show that different spatial levels present different and non-trivial patterns of need emergence. A simple numerical model suggests a dependency on the probability distribution of weights. This way of visualising the connectivity of human needs can be used to devise new strategies to cope with the complexity of urban-making processes. |
|---|