Structural analysis in transit system using network theory case of Guadalajara, Mexico
Structural analysis in a transit network is a key aspect used to evaluate in a planning process. In this sense, the use of network science was applied in this work to generate a framework of the main structural features of a transport network. In this case, an alternative transport network in Guadal...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| 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:2117/383009 |
| Acceso en línea: | https://hdl.handle.net/2117/383009 https://dx.doi.org/10.3390/urbansci5040087 |
| Access Level: | acceso abierto |
| Palabra clave: | Urban transportation -- Guadalajara (Mexico) Transport networks Accessibility Network sciences GTFS Data mining Transport urbà -- Mèxic Àrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Transport urbà |
| Sumario: | Structural analysis in a transit network is a key aspect used to evaluate in a planning process. In this sense, the use of network science was applied in this work to generate a framework of the main structural features of a transport network. In this case, an alternative transport network in Guadalajara, Mexico was taken as an example. The network properties selected were grade of accessibility, spatial friction, and vulnerability. In the case of the grade of accessibility, this propriety makes reference to the efficiency of the travel time that the network gives due to its structural features. The spatial friction measures how direct in terms of distance the trips that the network provides are, and the vulnerability relates to the ease with which the network can comprise its performance by affectations to their nodes or links. In this sense, this work presents a detailed methodology and a set of open-source tools that can be used to measure these key structural elements for decision making. |
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