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Transit Oriented Development (TOD) is a planning approach that promotes sustainable development of an urban area. Assessing TOD level is interesting to determine the appropriateness of urban developments in this regard as well as its potential for improvement. The aim of this work is to assess the TOD level of important urban areas using two different methods: global index and multivariate analysis based on artificial neural networks. The methods contrast each other, clarifying both their limits and complementarity degree. Additionaly, the results are verified through a GIS spatial analysis applied on a case study. According to the results: the global index assessment is limited; the multivariable analysis shows profiles of similar urban areas, regardless of their global indexes; the spatial analysis details the average values obtained. These methods provide knowledge in their respective fields. If used in a complementary way, they improve their effectiveness as useful analysis tool for urban planning.

eure

Evaluación comparativa del nivel de Desarrollo Orientado al Transporte (dot) en torno a nodos de transporte de grandes ciudades: métodos complementarios de ayuda a la decisión