2017
DOI: 10.1596/26405
|View full text |Cite
|
Sign up to set email alerts
|

Transforming the Urban Space through Transit-Oriented Development

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
30
0
3

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 41 publications
(35 citation statements)
references
References 0 publications
0
30
0
3
Order By: Relevance
“…In Denver, Colorado, the Center for Transit-Oriented Development (CTOD 2008) developed a guide for station area planning that included the addition of a special use/employment district type. Salat and Ollivier (2017) extend their typology beyond the physical characteristics of the built environment to include economic features. They propose a framework that classifies BRT stops based on the importance of the stop in the BRT network (nodal value), the quality of the features of the stop (place value) and the market attractiveness for development and redevelopment (market value).…”
Section: Transit-oriented Development and Neighborhood Typologiesmentioning
confidence: 99%
“…In Denver, Colorado, the Center for Transit-Oriented Development (CTOD 2008) developed a guide for station area planning that included the addition of a special use/employment district type. Salat and Ollivier (2017) extend their typology beyond the physical characteristics of the built environment to include economic features. They propose a framework that classifies BRT stops based on the importance of the stop in the BRT network (nodal value), the quality of the features of the stop (place value) and the market attractiveness for development and redevelopment (market value).…”
Section: Transit-oriented Development and Neighborhood Typologiesmentioning
confidence: 99%
“…Pareto distributions: the hidden order of spiky economic landscapes and of networks at all scales. The spatial distribution of the wealth of cities, as well as of people, jobs, and economic densities, office space density, accessibility to jobs, rents, subway network centralities, and so on, across the urban space (Salat, Bourdic 2015;Salat, ollivier 2017) follow skewed distributions that are modelled by inverse power laws known in economy for a long time under the name of Pareto distributions. They comprise a few large and very large values (in green on the left) and a "long tail" of small values on the right in Paris, and district level in New York has shown that high local density reduces transportation energy (Bourdic 2011).…”
Section: Grossvalue Added Economic Productivitymentioning
confidence: 99%
“…Stations that have high betweenness centrality values articulate different sub-networks (for example suburban trains and subway lines, or core and spokes in a subway network). Research has shown that degree centrality and betweenness centrality of subway stations in global cities such as Paris, London, New York, Tokyo, also follow inverse power laws, shown in Figure 9 for London and in Figure 10 for New York City, and that high degree central and between central stations have a very high potential for development (Salat, Bourdic 2015;Salat, Ollivier 2017) The networked structure of global cities The paper assesses the position of Shanghai within the network of global flows. Sassen (2005) hypothesis is that the global nature of the economy leads to a strengthening of cross-border city-to-city transactions and networks.…”
Section: The Shape Of Centralities In Transit Network In Global Citiesmentioning
confidence: 99%
See 2 more Smart Citations