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Techincal Coordination: Gabriel Tenenbaum de OliveiraIuri MouraBeatriz Rodrigues

Technical Team: Ana NassarClarisse Cunha Linke, Daniel d'El Rei (temporary personnel / GIS consultant - Habitat Geo), Gregório Luz (temporary personnel)

Corresponding mail: brasil@itdp.org // gabriel.oliveira@itdp.org


Summary:

Page containing data (shapefile and excel spreadsheets) used to calculate PNT and Social PNT for 10 Brazilian MAs (and Uberlândia city).

This research was published on a brief article for Sustainable Transport Magazinehttps://www.itdp.org/wp-content/uploads/2017/01/4.-Mobility-as-Equity-Low-Income-People-Near-Transit.pdf

 

Data:

Final Spreadsheet: ITDP Brazil - PNT in Brazilian Metropolitan Areas for ONU Habitat III - v8.xlsx

Code Book: Data dictionary: Code Book - BASE DE INFORMAÇÕES POR SETOR CENSITÁRIO Censo 2010 - Universo novo.pdf

Shapefiles:

Census Tracts with Demographic Data - Shapefile-MAs_Census_Tracts_with_Demographic_Data.zip

Rapid Transit Stations and Buffers - Shapefile-MAs_RT_Stations.rar

(the stations are separated by each geography - to select the proper stations, one must choose those which Status is only 'Operational')

(for RJ and SP, one must also choose only those which opening Year ("Ano") is smaller or equal to '2015')

(there are 1km and 3km buffers, only the 1km buffers have been used in this analysis)

Rapid Transit Lines - Shapefile-MAs_RT_Lines.rar

(the lines are separated by mode - to select the proper lines, one must choose those which status is only 'Operational')


Methodology:

 

Important Remarks:

  • Rapid Transit Reference Year:
    • Rio de Janeiro, São Paulo, Belo Horizonte and Brasília: we have adopted the year 2015 as the reference year of the rapid transit network. For the rest of Brazilian cities assessed, we are adopting the year 2016 as the reference year of the rapid transit network.
  • Ferry System:
    • In Rio de Janeiro, one line (two stations) of the Ferry system has also been included as a rapid transit system. This lines operates with a headway of less than 20 min throughout the day and continuously from 5am to 0am. We felt that it was important to include it in the case of Rio de Janeiro since it connects the city core with the east part of the metropolitan area and has thus a strong metropolitan relevance.

Final Results and Exploratory Charts:

The Metropolitan Areas presented in the graphs below are:

  • RIDE-DF: Brasília Federal District Integrated Development Area
  • RMBS: Baixada Santista Metropolitan Area
  • RMBH: Belo Horizonte Metropolitan Area
  • RMC: Curitiba Metropolitan Area
  • RMG: Goiânia Metropolitan Area
  • RMPA: Porto Alegre Metropolitan Area
  • RMR: Recife Metropolitan Area
  • RMRJ: Rio de Janeiro Metropolitan Area
  • RMS: Salvador Metropolitan Area
  • RMSP: São Paulo Metropolitan Area

 


Final Maps:

Produced by: Habitat Geo. Conceived by: ITDP. Please cite ITDP as main author.

(income representation inspired by income maps on: https://desigualdadesespaciais.wordpress.com/)



Attachments:

  File Modified
Microsoft Excel Spreadsheet ITDP Brazil - PNT in Brazilian Metropolitan Areas for ONU Habitat III - v8.xlsx Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
PNG File ITDP_PNT_graph_MA_vs_City.png Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
PNG File ITDP_PNT_graph_Ratio_vs_Delta.png Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
PNG File ITDP_PNT_graph_11Cities.png Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
PNG File ITDP_PNT_graph_10MAs.png Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
ZIP Archive Shapefile-MAs_Census_Tracts_with_Demographic_Data.zip Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
File Shapefile-MAs_RT_Lines.rar Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
File Shapefile-MAs_RT_Stations.rar Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMG.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMPA.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMR.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMRJ.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMS.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMSP.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_Uberlandia.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RIDE.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMBH.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMBS.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMC.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMG.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMPA.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMR.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMRJ.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMS.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_RMSP.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Income_Uberlandia.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RIDE.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMBH.jpg Nov 10, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMBS.jpg Dec 01, 2016 by Gabriel Tenenbaum de Oliveira
JPEG File Density_RMC.jpg Dec 01, 2016 by Gabriel Tenenbaum de Oliveira
PDF File Code Book - BASE DE INFORMAÇÕES POR SETOR CENSITÁRIO Censo 2010 - Universo novo.pdf Apr 18, 2017 by Gabriel Tenenbaum de Oliveira

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