Sunday, November 23, 2014

Quote of the Day



Soundtrack for the weekend:

Saturday, November 22, 2014

Incorporating Cognitively Perceived Urban Space in Economic Models

Furtado, B. A. (2011). Neighbourhoods in urban economics: incorporating cognitively perceived urban space in economic models. Urban Studies, doi:10.1177/0042098010391288.
Abstract:
This paper proposes that urban economic analysis would benefit from the use of cognitively perceived neighbourhoods, which are discussed within urban studies. Georeferenced data should be aggregated by spatially bounded units that are identifiable by citizens in order to enrich one-dimensional distance as the sole variable to bring urban complexity into economic models. Multivariate analysis is applied to data from Belo Horizonte, Brazil, to formulate four indices, ranked by neighbourhoods that together represent a spatially complex, non-linear influence on urban real estate markets. The results of the indices by neighbourhood are then tested against a traditional specification in an econometrics exercise that does not include the concepts and indices put forward. The definition of neighbourhood used and the empirical results provide a thorough description of urban fabric that can fully and more accurately represent urban influence in economics while avoiding abstract distance measurement.

Friday, November 21, 2014

Urban Picture


[image credit: ?]

Soundtrack:

Sunday, November 16, 2014

Modeling Transport accessibility with GTFS, OpenStreetMap and OpenTripPlanner Analyst

David Levinson points out to this great presentation by Kevin Webb talking about Modeling Transport accessibility with open data. Kevin and his team at Conveyal combine GTFS data, OpenStreetMap and OpenTripPlanner Analyst to make simple and yet sophisticated analysis of transport accessibility.

I feel very enthusiastic about Kevin's presentation because part of my PhD thesis will be closely connected to some of the questions he raised. In one of my papers, I will analyze the distributional aspects of how the addition of new transport infrastructure/services in Rio de Janeiro (particularity related to mega events) will impact urban accessibility across the metropolitan area. I'll post some updates about my PhD research in the near future as I suffer to make some progress on it.



There are dozens of other thoughts, papers and Links on GTFS and transport accessibility I would like to share here (including the research conducted by Andrew Owen, D. Levinson and other researchers), but I'm sure we will have many more posts to do this in the near future.


Related Links:

[image credit: Andrew Byrd and OpenTripPlanner Team]

Tuesday, November 11, 2014

The Evolution of Commute Times in Brazilian Metropolitan Areas (1992-2013)

 shameless self-promotion alert  Tim Schwanen and I published a working paper in 2013 where we analyzed how commute times have evolved since 1992 in Brazil, with special attention to differences between metropolitan areas, income levels and gender (Portuguese version here). 

The Brazilian newspaper O Globo took our study and made a great work of data visualization a couple of days ago, when they published a much improved and interactive version of Chart #2 in our study. This is their static version of the chart, comparing the evolution of average commute time across Brazilian metropolitan areas between 1992 and 2013. Click here for the interactive version (or here).

[click on the image to enlarge it]
[image credit: Daniel Lima with data from Pereira and Schwanen, 2013]


I would love to make some comments on these findings since we have a marked contrast between different areas, both in terms of trends and levels. I wish to spare you from reading my typos here though. In case you are interested, you may read the original publication, here.


Related Links:

Monday, November 10, 2014