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The valuation of urban attributes in a bus
corridor by stated preferences experiments
Isidora Navarro, Patricia Galilea y Ricardo Hurtubia
1/29/2016
Introduction
Context
Motivation
Hypothesis and Objectives
Context
At present, the design and cost-benefit analysis of new transport
infrastructure projects in Chile considers attributes mainly
related to transport, but they can give additional benefits, e.g. it
may affect the environment of neighbourhoods
Given this, it is interesting and necessary to characterize people’s
preferences for public spaces and urban amenities.
Hypothesis and Objectives
The hypothesis of this work is that a methodology can be
performed to valuate urban attributes and transport attributes.
The aim is to identify and valuate attributes that improve the
environment of neighbourhoods , in order to incorporate them
into the cost-benefit analysis of future transport projects in Chile.
Methodology
Stated preference experiment
Identification and selection of attributes
Design of the experiment
Stated preference experiment
Respondents faced a residential location experiment
They had to choose between two images that represent their
neighborhood. We sampled four different neighborhoods of
Santiago, Chile: Vitacura, Santa Rosa, Gran Avenida and Pajaritos
Identification and selection of attributes
The urban attributes that were selected at first were:
Green areas
Sidewalk
Bike lane
Bus corridor
Identification and selection of attributes
After a pilot survey, we kept three attributes:
Green areas
Sidewalk
Bike lane
Bus corridor
Design of the experiment
In order to create a realistic survey, the respondents will have to answer
some initial questions:
Where do you live?
How much do you pay in rent per month?
Pilot Survey
Vitacura
Pajaritos
Pilot survey: Vitacura
Pilot survey: Pajaritos
We learned that…
It is not convenient to incorporate attributes hard to understand,
like travel time.
It is preferable that images have the same composition.
It is preferable that attributes are not situated in the background.
It is preferable that the respondents can be able to recognize the
neighbourhood.
Final Survey
New images
Results
Willingness-to-pay
Final survey: Vitacura
Final Survey: Santa Rosa
Final survey: Gran Avenida
Final Survey: Pajaritos
Results
M1-MNL1 M2-MNL1
Valor t-test Valor t-test
-0,0113 -3,71 -0,0107 -3,59
0,00607 2,6 0,00119 0,49 (*)
-0,00649 -3,23 -0,00224 -1,52 (*)
0,829 8,99 0,756 8,79
0,907 9,55 0,832 9,41
0,273 2,57 0,215 2,12
0,222 2,17 0,153 8,79
0,0495 0,71 (*) 1,06 5,03
- - 1,01 4,75
Final log-likelihood -597,135 -825,762
N° de observaciones 981 1039
Results
M1-MNL2 M2-MNL2
Valor t-test Valor t-test
-0,00721 -2,3 -0,00686 2,22
-0,0283 -1,02 (*) -0,0413 -1,59 (*)
-0,0183 -2,44 -0,0159 -2,18
0,00632 2,69 0,00119 0,69 (*)
-0,00672 -3,32 -0,00225 -1,52 (*)
0,843 9,04 0,765 8,83
0,922 9,6 0,844 9,46
0,289 2,71 0,227 2,23
0,232 2,25 0,16 1,61 (*)
0,0589 0,84 (*) 1,06 5,03
- - 1 4,7
Final log-likelihood -593,612 -822,089
N° de observaciones 981 1039
Nivel de Ingreso M3-MNL2
-0,00722
-0,02552
-0,03542
High Inc Middle Inc Low Inc
Trees $161 $45 $33
Ciclepath $176 $50 $36
Corridor $ 55 $16 $11
Corridor with
bush $ 99 $28 $20
USD/USD/USD/USD/monthmonthmonthmonth
Willingness-to-pay
The valuation of urban attributes in a bus
corridor by stated preferences experiments
Isidora Navarro, Patricia Galilea y Ricardo Hurtubia
29-01-2016

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Valuing urban attributes for a bus corridor in a residential choice experiment context

  • 1. The valuation of urban attributes in a bus corridor by stated preferences experiments Isidora Navarro, Patricia Galilea y Ricardo Hurtubia 1/29/2016
  • 3. Context At present, the design and cost-benefit analysis of new transport infrastructure projects in Chile considers attributes mainly related to transport, but they can give additional benefits, e.g. it may affect the environment of neighbourhoods Given this, it is interesting and necessary to characterize people’s preferences for public spaces and urban amenities.
  • 4.
  • 5. Hypothesis and Objectives The hypothesis of this work is that a methodology can be performed to valuate urban attributes and transport attributes. The aim is to identify and valuate attributes that improve the environment of neighbourhoods , in order to incorporate them into the cost-benefit analysis of future transport projects in Chile.
  • 6. Methodology Stated preference experiment Identification and selection of attributes Design of the experiment
  • 7. Stated preference experiment Respondents faced a residential location experiment They had to choose between two images that represent their neighborhood. We sampled four different neighborhoods of Santiago, Chile: Vitacura, Santa Rosa, Gran Avenida and Pajaritos
  • 8. Identification and selection of attributes The urban attributes that were selected at first were: Green areas Sidewalk Bike lane Bus corridor
  • 9. Identification and selection of attributes After a pilot survey, we kept three attributes: Green areas Sidewalk Bike lane Bus corridor
  • 10. Design of the experiment In order to create a realistic survey, the respondents will have to answer some initial questions: Where do you live? How much do you pay in rent per month?
  • 14. We learned that… It is not convenient to incorporate attributes hard to understand, like travel time. It is preferable that images have the same composition. It is preferable that attributes are not situated in the background. It is preferable that the respondents can be able to recognize the neighbourhood.
  • 16.
  • 21. Results M1-MNL1 M2-MNL1 Valor t-test Valor t-test -0,0113 -3,71 -0,0107 -3,59 0,00607 2,6 0,00119 0,49 (*) -0,00649 -3,23 -0,00224 -1,52 (*) 0,829 8,99 0,756 8,79 0,907 9,55 0,832 9,41 0,273 2,57 0,215 2,12 0,222 2,17 0,153 8,79 0,0495 0,71 (*) 1,06 5,03 - - 1,01 4,75 Final log-likelihood -597,135 -825,762 N° de observaciones 981 1039
  • 22. Results M1-MNL2 M2-MNL2 Valor t-test Valor t-test -0,00721 -2,3 -0,00686 2,22 -0,0283 -1,02 (*) -0,0413 -1,59 (*) -0,0183 -2,44 -0,0159 -2,18 0,00632 2,69 0,00119 0,69 (*) -0,00672 -3,32 -0,00225 -1,52 (*) 0,843 9,04 0,765 8,83 0,922 9,6 0,844 9,46 0,289 2,71 0,227 2,23 0,232 2,25 0,16 1,61 (*) 0,0589 0,84 (*) 1,06 5,03 - - 1 4,7 Final log-likelihood -593,612 -822,089 N° de observaciones 981 1039 Nivel de Ingreso M3-MNL2 -0,00722 -0,02552 -0,03542
  • 23. High Inc Middle Inc Low Inc Trees $161 $45 $33 Ciclepath $176 $50 $36 Corridor $ 55 $16 $11 Corridor with bush $ 99 $28 $20 USD/USD/USD/USD/monthmonthmonthmonth Willingness-to-pay
  • 24. The valuation of urban attributes in a bus corridor by stated preferences experiments Isidora Navarro, Patricia Galilea y Ricardo Hurtubia 29-01-2016