o a o Stated Choice Methods 30 45 50 0...•A final warning r nr r nr r n U 1 × 1 × 1 × ªº ªº...

38
Juan de Dios Ortúzar Department of Transport Engineering and Logistics Pontificia Universidad Católica de Chile Valuation of Externalities with Stated Choice Methods Rental (CH$/month) $ 253,000 Noise level 5.0 Orientation in relation to the sun North-west Travel time Hugo Viviana Pablo to work (minutes) 30 45 50 Location 1 $

Transcript of o a o Stated Choice Methods 30 45 50 0...•A final warning r nr r nr r n U 1 × 1 × 1 × ªº ªº...

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Juan de Dios Ortúzar Department of Transport Engineering and Logistics

Pontificia Universidad Católica de Chile

Valuation of Externalities

with

Stated Choice Methods

Rental (CH$/month) $ 253,000

Noise level 5.0

Orientation in relation to the sun North-west

Travel time Hugo Viviana Pablo

to work (minutes) 30 45 50

Location 1

$

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CONTENTS

• Introduction

• Study context

• Attribute selection,

payment mechanism

• Experimental design

• Data collection

• Modelling issues

• A final warning

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r θ

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θ = θ+σ ×η

β =β +σ ×η

γ

θ

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σ 0 0γ

α = θ ; Σ = 0 σ 0

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Introduction Study context Attribute selection

Introduction

We have developed a new methodology to determine the

subjective value of transport externalities; it considers:

– experimental design, survey design and data collection about individual

preferences (both revealed preferences and stated choices);

– estimation of discrete choice models with combined RP and SC data,

capable of handling:

• multiple individual responses;

• variations in individual tastes (heterogeneity);

• correlation among alternatives

– based on these models, derive willingness-to-pay (subjective values)

for all attributes considered in the experiment.

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Introduction Study context Attribute selection

Introduction

In this presentation we will refer to 4 different cases associated

with estimating the subjective values of:

reducing the risk of fatal and non-fatal accidents 1

reductions in noise and atmospheric pollution 2

reducing the feeling of insecurity when walking in poor neighbourhoods 3

reducing community severance caused by urban infrastructure 4

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For road accidents, consider trips made regularly (well-known) and

invoke a route choice scenario (as mode choice is not appropriate).

Construct SC context based on actual information – pivot design.

Context depends on case – clear definition

Study context Attribute selection Experimental design

1

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You travel to work from your house regularly, and your trip has the following characteristics:

» It takes place on a normal working day

» You must arrive at your destination approximately at 7:45 am

» You drive your car and pay for all the travel costs involved.

At the time you travel the trip takes between 30 to 35 minutes; this has an average travel cost

of US$ 1 (i.e. fuel and car maintenance). Assume that during your trip you must choose

between two routes by similar streets to the one shown in the figure:

Consider the following three characteristics when choosing your route:

- Travel time, travel cost and

- Number of fatal car accidents per year.

In what follows you will be shown nine trip situations. Please select one route in each one;

however, if none of the two option pleases you, just move on to the next choice situation.

Context definition – route choice example

Study context Attribute selection Experimental design

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For road accidents, consider trips made regularly (well-known) and

invoke a route choice scenario (as mode choice is not appropriate).

Construct context based on actual information – pivot design.

For air pollution or noise, neither mode nor route choice are appropriate.

A residential location rank order experiment, involving the whole family,

has worked extremely well.

Context depends on case – clear definition

Study context Attribute selection Experimental design

1

2

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• First visit to household to get data on:

- main dwelling characteristics (borough and nearest street junction, monthly

rent/mortgage paid, number of household vehicles, family income), and

- basic data about each family member (first name, relation to household head, gender,

age, educational level, possession of driving license, and occupation).

In the noise reduction case, family members were finally asked which sun

orientations were considered to be best and worst, respectively, and to

grade the noise level inside their dwelling using a 10-point scale.

• Second visit, two days later, to present customized stated preference

exercise and a set of complimentary questions:

- introductory description of experimental context and varying attributes;

- deliverance of eight cards representing different residential locations according to the

experimental design.

Context example – residential location choice

Study context Attribute selection Experimental design

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Context example – noise reductions

Study context Attribute selection Experimental design

Rental (CH$/month) $ 253,000

Noise level 5.0

Orientation in relation to the sun North-west

Travel time Hugo Viviana Pablo

to work (minutes) 30 45 50

Location 1

$

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• Finally, the family (as a group) was asked to rank the eight cards and

after completing the process the interviewer asked questions

designed to check:

- if the family members had played the game consistently;

- how important they considered the variable noise, and

- if the attribute levels posed in the experiment had been considered realistic.

Context example – noise reductions

Study context Attribute selection Experimental design

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For road accidents, consider trip made regularly (well-known) and

invoke a route choice scenario (as mode choice is not appropriate).

Construct context based on actual information.

For air pollution or noise, neither mode nor route choice are appropriate.

A residential location rank order experiment, involving the whole family,

has worked extremely well.

For pedestrian perception of safety from crime, context was walking

during day time, as at night things get obviously more dangerous and

one particular attribute, street lightning, became too dominant.

Context depends on case – clear definition

Study context Attribute selection Experimental design

3

1

2

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Context depends on case – improve safety

Study context Attribute selection Experimental design

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For road accidents, consider trip made regularly (well-known) and

invoke a route choice scenario (as mode choice is not appropriate).

Construct context based on actual information.

For air pollution or noise, neither mode nor route choice are appropriate.

A residential location rank order experiment, involving the whole family,

has worked extremely well.

For pedestrian perception of safety from crime, context was walking

during day time, as at night things get obviously more dangerous and

one particular attribute, street lightning, became too dominant.

Context depends on case – clear definition

Study context Attribute selection Experimental design

3

1

2

Finally, to find value of mitigating community severance (for example,

after construction of an urban highway) context was defined as walking

from home to a commercial precinct not too far away. 4

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Context depends on case – severance

Study context Attribute selection Experimental design

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As in the case of context, to understand the situation well it is

crucial to use focus groups:

− to examine the most adequate definition of the various attributes;

− and to select the minimum number of attributes required.

Use appropriate attributes

Attribute selection and payment mechanism Experimental design

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For accident risk: number of accidents with fatalities per year, and

only three attributes in total.

Use appropriate attributes

Attribute selection and payment mechanism Experimental design

1

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.

Use appropriate attributes – accident risk

Attribute selection and payment mechanism Experimental design

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For accident risk: number of accidents with fatalities per year, and just

three attributes in total.

For local air pollution, number of days per year with an Alert level (less

damaging, and thus more common, city contingency day status), and

four attributes in total.

.

Use appropriate attributes

Attribute selection and payment mechanism Experimental design

1

2

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Use appropriate attributes – air pollution

Attribute selection and payment mechanism Experimental design

5

Travel time Travel time

to work To study

(minutes) (minutes)

John 45

Maria 30Thomas 20

Alexandre 15Michael 10

Days of

Alert

(per year)

Rental (Ch$/month)

Location

8

$150.000

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For accident risk: number of accidents with fatalities per year, and just

three attributes in total.

For local air pollution, number of days per year with an Alert level (less

damaging, and thus more common, city contingency day status), and

four attributes in total.

For valuation of quietness, faced difficulty with unfamiliarity with noise

level measurement (at the end we used a 10 point subjective scale);

three other attributes used including sun orientation.

Use appropriate attributes

Attribute selection and payment mechanism Experimental design

1

2

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Use appropriate attributes - noise

Attribute selection and payment mechanism Experimental design

Rental (CH$/month) $ 253,000

Noise level 5.0

Orientation in relation to the sun North-west

Travel time Hugo Viviana Pablo

to work (minutes) 30 45 50

Location 1

$

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For accident risk: number of accidents with fatalities per year, and just

three attributes in total.

For local air pollution, number of days per year with an Alert level

(lesser, and thus more common, city contingence day status), and four

attributes in total.

For valuation of quietness, we faced difficulty with unfamiliarity with

noise level measurement (at the end we used a 10 point subjective

scale); three other attributes used including sun orientation.

For pedestrian perception of safety, theory postulates composite

variables (natural vigilance and visual control); there was interest in

relating these variables to “physical” attributes of the neighbourhood.

Use appropriate attributes

Attribute selection and payment mechanism Experimental design

1

2

3

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• Natural Vigilance: relates to the protection afforded by the virtual

community. It is associated with:

- the presence and movement of persons and/or vehicles;

- the distribution of access to buildings;

- the presence of windows and other points of observation

All these influence the perceived level of vigilance by those who are (or

may be) in the area.

• Visual Control: relates to the control that pedestrians have on their

immediate environment. It is associated with elements such as:

- lighting, amplitude of space and

- the presence of visual blockings of different types.

Use appropriate attributes – safety perception

Attribute selection and payment mechanism Experimental design

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Use appropriate attributes – safety perception

Attribute selection and payment mechanism Experimental design

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For accident risk: number of accidents with fatalities per year, and just

three attributes in total.

For local air pollution, number of days per year with an Alert level

(lesser, and thus more common, city contingence day status), and four

attributes in total.

For valuation of quietness, we faced difficulty with unfamiliarity with

noise level measurement (at the end we used a 10 point subjective

scale); three other attributes used including sun orientation.

For pedestrian perception of safety, theory postulates composite

variables (natural vigilance and visual control); there was interest in

relating these variables to “physical” attributes of the neighbourhood.

For mitigating community severance, five attributes including the

presence of people and CCTV cameras; status quo (no mitigation)

was presented in 50% of cases.

Use appropriate attributes

Attribute selection and payment mechanism Experimental design

1

2

3

4

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Use appropriate attributes – severance

Attribute selection and payment mechanism Experimental design

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• In some cases this is trivial, i.e. toll charged in the case of interurban

road accidents. However, as tolls were not charged in urban streets at

the time of our first case study, we had to resort to car operating costs.

• For residential location choice a natural payment mechanism is the rent

or mortgage paid by the household; we also took care in looking for

people who had recently moved house and were not owners.

• For walking through poor residential areas we faced more difficulties. In

the end we introduced the concept of additional mortgage (that would

need to be paid to ensure that respondents’ dwellings were located in

an area perceived as safest by them). This was well received and

understood.

• For mitigating community severance, the payment mechanism was

expressed as an annual payment through a monthly increase in the

local council taxes.

Find an adequate payment mechanism

Attribute selection and payment mechanism Experimental design

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• Do not submit respondents to too many treatments (high respondent

burden): - it runs risk of loosing their attention;

- good idea to generate blocks based on confounding higher order interactions.

• Avoid dominant alternatives, aim for balanced designs:

- for example, we have used cost as a control variable and attempt to minimise D-

error.

• May include as an extra option the “current choice”, to increase realism:

- in that case checks must be made for inertia effects in pure SC experiments.

• Use of images may be highly convenient in certain cases:

– for example, it can be fairly crucial in web-page studies;

– also to aid the comprehension of difficult to explain attributes.

Some practical issues

Experimental design Data collection Modelling issues

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Independent elements

combined by layers

Example of image design

Experimental design Data collection Modelling issues

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A B

Imagine yourself walking through these two streets

Where would you feel safer?

Use of images in SC game

Experimental design Data collection Modelling issues

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Mortgage: US$ 340/month

A

Mortgage: US$ 260/month

B

Now, considering the mortgage payment and your feeling of security ...

Where would you prefer to live?

Use of images in SC game

Experimental design Data collection Modelling issues

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• Sample selection method: we favour minimising risk of rejection and cost

of recruiting … but our studies are typically research rather than policy

oriented; in many cases we have gone for: – workplace interviews;

– web-page surveys sent by internet.

with good results.

• Look for respondents’ features that may aid comprehension of study:

– current road users, or neighbourhood residents, in route choice games;

– tenants that moved house less than a year ago in residential location choice game.

• Add extra questions to check for realism and to validate hypotheses (for

example of potential lexicographic answers) at analysis stage.

• Customise surveys, based on asking respondents for key contextual and

socioeconomic data prior to the SC game.

A good strategy is priceless

Data collection Modelling issues A final warning

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Example of data to contextualize

Data collection Modelling issues A final warning

Gender and age

Number and age of children

Feeling of insecurity while

walking through neighbourhood

Current mortgage (Ch$/month)

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• Mixed Logit (ML) models preferable, for many reasons (i.e. adequate

treatment of multiple responses by individuals), but results may be difficult

to interpret.

• Incidentally, quite intriguing that great majority of studies does not go

beyond the estimation of “population parameters” in ML modelling.

• We have found useful and many times preferable, MNL-like models

allowing for “systematic taste variations” .

• Other important issues: – incorporate an inertia variable to treat “current option” in choice set;

– include possibility of “indifference” (i.e. I cannot decide) when using balanced designs;

– beware that “nothing is important” when context allows for it;

– examine model results when “potentially” lexicographic individuals are taken out.

• Most recent studies have shown that hybrid discrete choice models,

including latent variables, give a much higher fit to the data.

Mixed Logit or not … hybrid choice models

Modelling issues A final warning

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Re transferring WTP results

• We have estimated the WTP for reducing the risk of having road fatalities

in interurban roads, together with the WTP for reducing the risk of serious

injuries, finding that:

– the ratio between these two figures is much smaller than that reported in the seminal study

by Jones Lee and Loomes (2002) for British conditions;

– the absolute values of the WTP for risk reductions in several Chilean studies are

significantly different than the values that would be estimated using a meta-study by

Miller (2000), adjusting for income;

Cultural issues such as differences in attitudes (i.e. risk aversion)

cannot be incorporated properly in transference exercises.

Hence, we strongly recommend that appropriate WTP studies should

be conducted indigenously whenever possible.

A final warning

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Acknowledgements

To my former students:

Patricia Galilea

Jose María Grisolía

Pablo Hojman

Paula Iglesias

Paula Iragüen

Luis Ignacio Rizzi

Gonzalo Rodríguez

Mauricio Sillano

To the supporting institutions:

• Chilean Fund for the Development of Scientific and Technological Research

(FONDECYT),

• Millennium Institute in Complex Engineering Systems

• Transport and the Environment Measures and Policies (TEMPO) project,

funded by the Research Council of Norway.

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References

Grisolía, J.M., González, F. and Ortúzar, J. De D. (2013) Burying the highway: the social valuation of

community severance and amenity. International Journal of Sustainable Transportation (in press).

Hojman, P., Ortúzar, J. de D. and Rizzi, L.I. (2005) On the joint valuation of averting fatal victims and severe

injuries in highway accidents. Journal of Safety Research 36, 377-386.

Iglesias, P., Greene, M. and Ortúzar, J. de D. (2012) On the perception of safety in low income

neighbourhoods: using digital images in a stated choice experiment. In S. Hess and A.J. Daly (eds.), Choice

Modelling: The State of the Art and the State of Practice. Edward Elgar Publishing Ltd., Cheltenham.

Iragüen, P. and Ortúzar, J. de D. (2004) Willingness-to-pay for reducing fatal accident risk in urban areas: an

internet-based web page stated preference survey. Accident Analysis and Prevention 36, 513-524.

Jones-Lee, M. and Loomes, G. (1995) Scale and context effects en the valuation of transport safety. Journal of

Risk and Uncertainty 11, 183-203.

Miller, T. (2000) Variations between countries in values of statistical life. Journal of Transport Economics and

Policy 34, 169-188.

Ortúzar, J. de D. and Rodríguez, G. (2002) Valuing reductions in environmental pollution in a residential

location context. Transportation Research 7D, 407-427.

Sillano, M. and Ortúzar, J. de D. (2005) Willingness-to-pay estimation with mixed logit models: some new

evidence. Environment and Planning 37A, 525–550.

Veisten, K., Flugel, S., Rizzi, LI., Ortúzar, J. de D. and Elvik, R. (2012) Valuing casualty risk reductions from

estimated baseline risk. Research in Transportation Economics

(http://dx.doi.org/10.1016/j.retrec.2012.12.009).

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References

Grisolía, J.M., González, F. and Ortúzar, J. De D. (2013) Burying the highway: the social valuation of

community severance and amenity. International Journal of Sustainable Transportation (in press).

Hojman, P., Ortúzar, J. de D. and Rizzi, L.I. (2005) On the joint valuation of averting fatal victims and severe

injuries in highway accidents. Journal of Safety Research 36, 377-386.

Iglesias, P., Greene, M. and Ortúzar, J. de D. (2012) On the perception of safety in low income

neighbourhoods: using digital images in a stated choice experiment. In S. Hess and A.J. Daly (eds.), Choice

Modelling: The State of the Art and the State of Practice. Edward Elgar Publishing Ltd., Cheltenham.

Iragüen, P. and Ortúzar, J. de D. (2004) Willingness-to-pay for reducing fatal accident risk in urban areas: an

internet-based web page stated preference survey. Accident Analysis and Prevention 36, 513-524.

Jones-Lee, M. and Loomes, G. (1995) Scale and context effects en the valuation of transport safety. Journal of

Risk and Uncertainty 11, 183-203.

Miller, T. (2000) Variations between countries in values of statistical life. Journal of Transport Economics and

Policy 34, 169-188.

Ortúzar, J. de D. and Rodríguez, G. (2002) Valuing reductions in environmental pollution in a residential

location context. Transportation Research 7D, 407-427.

Sillano, M. and Ortúzar, J. de D. (2005) Willingness-to-pay estimation with mixed logit models: some new

evidence. Environment and Planning 37A, 525–550.

Veisten, K., Flugel, S., Rizzi, LI., Ortúzar, J. de D. and Elvik, R. (2012) Valuing casualty risk reductions from

estimated baseline risk. Research in Transportation Economics

(http://dx.doi.org/10.1016/j.retrec.2012.12.009).