2009
DOI: 10.1016/j.tra.2008.06.010
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Centrality indicators as an instrument to evaluate the integration of urban equipment in the area of influence of a rail corridor

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Cited by 17 publications
(12 citation statements)
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“…A planning-oriented example is the use of centrality to qualify nodes in urban transportation networks. Gonçalves et al (2009) have applied this not only to transport network nodes but also to describe access to the surrounding urban area facilities, in order to compare the suitability of the area of influence of different train stations for new developments. A policy-planning oriented example is the use of parameters such as street connectivity by several North American administrations in new urban development review processes.…”
Section: Introductionmentioning
confidence: 99%
“…A planning-oriented example is the use of centrality to qualify nodes in urban transportation networks. Gonçalves et al (2009) have applied this not only to transport network nodes but also to describe access to the surrounding urban area facilities, in order to compare the suitability of the area of influence of different train stations for new developments. A policy-planning oriented example is the use of parameters such as street connectivity by several North American administrations in new urban development review processes.…”
Section: Introductionmentioning
confidence: 99%
“…[34]. Some scholars have also demonstrated practicability and effectiveness of centrality in those fields [35]- [42]. Nevertheless, centrality based methods have not been applied to the information systems of firms.…”
Section: Introductionmentioning
confidence: 99%
“…This implies a dark aspect of the Metro network in Seoul-cars have more advantages than the Metro in accessing the CBD. It should be noted that betweenness is known to be an important index to measure the efficiency of transit networks (Goncalves et al, 2009). The straightness index also showed another complication, aside from the incompatibility between Metro and highway networks.…”
Section: Interpretation Of Som Feature Map For Individual Variablesmentioning
confidence: 99%