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The use of SS in urban transport analysis limits and potentials. sss8, Santiago, 01-04-2012. Rafael H. M. Pereira Frederico R. B. de Holanda Valério A. S. de Medeiros Ana Paula B. G. Barros. Institute of Applied Economic Research. Brazil: overview. Brazil 2010 Population:

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the use of ss in urban transport analysis limits and potentials
The use of SS in urban transport analysis limits and potentials

sss8, Santiago, 01-04-2012

Rafael H. M. Pereira

Frederico R. B. de Holanda

Valério A. S. de Medeiros

Ana Paula B. G. Barros

Institute of Applied Economic Research

brazil overview
Brazil: overview

Brazil 2010

Population:

Total - 192 milions

Urban -159 milions (83.7%)

5,564 Municipalities

38 cities over 500,00 habitants

16 cities over 1 milion habitants

brazil overview1
Brazil: overview
  • Brasilia 2010
  • Population figures:
  • PilotPlan = 209,855
  • Federal District = 2,570,160
  • Conurbation = 3,276,966
  • Directinfluencearea = 3,451,043
study aim and scope
Study aim and scope
  • To explore the potentials and limits of applying SS to the analysis of urban configurations so as to provide urban environments with greater transportation efficiency.
  • Case study: Federal District (FD - Brazil)

+ its 19 administrative regions

study aim and scope1
Study aim and scope

2000 - 2009

Population 2,70 % a. a.

Carfleet7,14 % a. a.

Increasing motorization ratio (FD)

  • Number of Vehicles for 100 Inhabitants

42,8

25,9

Source: Denatran and IBGE

shortcomings transport studies
Shortcomings (transport studies)

Traditional syntax approach

  • Macro-traffic structures (rail, metro) are not captured
  • Fails to consider some street features that greatly influence urban transportation performance
  • road capacity (number of lanes)
  • Direction of traffic flows
  • Pavement conditions
  • Topographic variations
  • “Obstacles” (impedance) – i.g. traffic lights, speed bumps, etc
  • Metric length
    •  ignores the global extension of the road system as a whole
shortcomings transport studies1
Shortcomings (transport studies)

“Obstacles” - impedance

(a)

(b)

Same level of Global integration (Rn) = 3,13374

Source: Denatran and IBGE

shortcomings transport studies2
Shortcomings (transport studies)

Metric length

(a)

(b)

5 Km

10 Km

Same level of Global integration (Rn) = 3,13374

Source: Denatran and IBGE

material and methods
Material and Methods

Linear regression (Ordinary Least Squares - OLS)*

Urban Configuration Urban Transport Performance

AverageTravel Time spentonurbantrips

Configurational Variables:

- TopologicalIntegration (Rn, R3)

- MeanDepth (Rn, R3 step)

- Topo-geometricmeasures: LengthWgtandMetricstep

*fewobservations (20)

material and methods1
Material and Methods
  • Origin-Destination Survey conducted in the Federal District (Brazil) in 2000
    • Information for every trip on a typical work day in 2000
    • Filter: car, utility vehicle and taxi
    • *Average travel time for the trips within each AR and the Federal District (1,000,198 trips)
  • 20 axial/ segmentmaps

- Federal District (FD)

- 19 R.A.’s

slide11

FD Axial Map

Source: MEDEIROS (2006)

material and methods2
Material and Methods
  • RA Recanto das Emas

Rn

RnLengthWgt

results2
Results

Local Measures

Not significant

results3
Results

Global Traditional Measures

Sig. < 4% e R² = 22%

results4
Results

Topo-geometric measures

Improved results with larger radius

Melhor estatística quanto maior o Raio de ação

results5
Results

Topo-geometric measures

Improved results with larger radius

Melhor estatística quanto maior o Raio de ação

final remarks
Final Remarks

Future Studies

  • Test other configurational measures
  • Replication in other metropolitan areas
  • Method: multivariate and/or multilevel analyses
final remarks1
Final Remarks

Regarding urban transport performance,

results suggest that:

  • Global characteristics (rather than local ) are important
  • Traditional topological measures do not help much…
  • Topo-geometric measures play important role
  • More integrated and compact road systems (in topological and geometrical terms) tend to provide a more efficient urban environment in terms of time spent in car trips
  • Less environmentally damaging in terms of energy use and pollutant emissions
thank you
Thank you.

sss8, Santiago, 01-04-2012

Email

fredholanda44@gmail.com

rafael.pereira@ipea.gov.br