exploration of travel well-being in static and dynamic ...exploration of travel well-being in static...
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![Page 1: Exploration of Travel Well-Being in Static and Dynamic ...Exploration of Travel Well-Being in Static and Dynamic Contexts Maya AbouZeid EPFL June 10, 2008. 2 Acknowledgments ... Tzieropoulos](https://reader034.vdocuments.us/reader034/viewer/2022042301/5ecc4b01605884719c086d4b/html5/thumbnails/1.jpg)
Exploration of Travel Well-Being
in Static and Dynamic Contexts
Maya Abou Zeid
EPFL
June 10, 2008
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Acknowledgments
• Joint project between MIT ITS lab, Prof. Moshe Ben-Akiva, and EPFL TRANSP-OR lab, Prof. Michel Bierlaire
• LASUR: Prof. Vincent Kaufmann and Regina Witter
• Administrative assistance: Marianne Ruegg (EPFL), Tina Xue (MIT)
• Interviews: Vincent Chardonnens (UNIL), IsalineMoullet (EPFL), Gaël Vietti-Violi (UNIL)
• Translations: Stéphanie Thomé, Gil Viry (EPFL)
• Parking offices: Muriel Cloux (UNIL), Philippe Vollichard (EPFL)
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Acknowledgments (cont.)
• Geneva airport: Philippe Quaglia, Denis Teuscher
• Onex municipality: Angela Santini, François Turk
• Pre-test participants: Ashish Bhaskar (EPFL), Anne
Curchod (EPFL), Prof. André-Gilles Dumont (EPFL),
Dr. Simon Kuenzi (EPFL), Laurent Monney (EPFL),
Kevin Tierney (Cambridge Systematics), Prof. Panos
Tzieropoulos (EPFL), Dr. Roland von Kaenel (CFS
Engineering)
• All participants
• Financial support: EPFL TRANSP-OR lab, UTC
(New England), TL, and TPG
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Motivation
• Subjective well-being (SWB):
– People’s own evaluation and feelings about the
quality of their life and its domains
– Has been measured and studied by psychologists
and economists
• Example - World Values Survey
Taking all things together, would you say you are:
1 Very happy
2 Rather happy
3 Not very happy
4 Not at all happy
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MotivationState-of-the-Practice in Transportation
• In transportation:
– Models are mostly based on travel time and cost
– Project evaluation is heavily focused on assessment
of travel time savings and ignores non-users
– But well-being is broader than generalized cost!
• Generalized cost
• Flexibility
• Comfort
• Stress/anxiety, etc.
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Why Study Travel Well-Being?Importance of Travel Well-Being
• Psychological benefits of travel
• Spillover effects to work and home
• Health and driving capabilities consequences
of commuting stress
• Design of responsive driving systems
Headlights turn red if
driver is angry, to warn
others and prevent road
rage
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Research Overview
• Objectives:
– Develop and test a travel well-being measurement
method
– Model the relationship between travel well-being
and behavior
• Stages:
– 1: Cross-sectional data
– 2: Panel data
– 3: Overall modeling framework
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Outline
1. Cross-sectional analysis of travel happiness
2. Dynamic analysis
3. Conclusion
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Stage 1: Cross-Sectional Data
• Web-based travel and activity well-being survey
of a convenience sample of commuters
• Analyses:
– Modeling commute satisfaction
– Modeling the propensity to participate in activities
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Commute Well-Being Model
Commute
satisfaction
Organized
personality Overall
well-being
Commute
stress
Favorable
comparison
Work
satisfaction
Quality of work
environment
Causes
IndicatorsIndicators
IndicatorsIndicators
Indicators
Causes
Indicators
Causes
Happiness
during work
Indicators
1.00
1.00
-0.457
0.141
0.099
0.1870.501
0.367
0.747
0.143
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Happiness by Activity Type
26
39
56
70
79
88
95
% Happy
7. Personal business
6. Shopping
5. Work
4. Organizational/volunteer/religious
3. At home
2. Eating out
1. Social/recreational
Activity
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Shopping Activity Propensity Model
Generalized
Cost
Age,
household
size
Distance, mode, income, household size
IndicatorTravel
SatisfactionActivity
HappinessIndicator
Activity
PropensityActivity
Frequency
0.2
(5.7)0.2
(5.3)
Personal
Assets
Age, gender, income, household size
Maintenance
Greater happiness ⇒⇒⇒⇒ higher propensity of activity participation
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Conclusion of Stage 1
• Established evidence for the existence of
relationships among happiness, behavior, and
various factors
• But…
– Travel is a repetitive/routine activity
– People don’t fully evaluate their travel well-being
unless they need to update their travel decisions
due to personal or environmental changes
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2. Stage 2: Panel Data
• Objective: develop a more accurate measure
of travel happiness that accounts for the
routine nature of travel
• Key idea: Induce a temporary behavioral
change that forces people to re-evaluate their
travel happiness as they make their travel
decisions
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Travel Behavior Modification
Experiment
• “Force” commuters with strong car habits to switch temporarily to public transportation (PT) and observe the “free” choice afterwards
– Idea proposed to me by Prof. Drazen Prelec (MIT)
• Two experiments:
– “Ménages Pilotes” -- Onex: as part of other environmental-friendly actions, households have tried to reduce car use from February-April 2008
– 3-week experiment conducted in May and June 2008 at Geneva airport, EPFL, and UNIL
• Focus of the next slides
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Mechanism
• Week 1: “free” mode choice
• Week 2: “forced” use of PT for 3 days
• Week 3: “free” mode choice
• Incentive: free PT passes during Weeks 2 and
3
• At the end of Week 2, participants have the
option to “sell” their parking permits to us
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Recruitment
• We send emails describing the study to
employees of Geneva airport, UNIL, and
EPFL
• Participants are self-selected with the
following criteria:
– Strong car habit for commuting
– Have PT available to place of residence
– Live and work at the same place since February
• We conduct phone interviews, identify PT
routes, and prepare PT passes
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Data Collected by Timeline
Week 1 Week 2 Week 3
Questionnaire 1
Questionnaire 2: Daily travel diary
Questionnaire 3 Questionnaire 4
Parking
permit
expiration
Pre-Experiment Experiment
0
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Questionnaires 1, 3, and 4
• Happiness:
– Taking all things together, how satisfied are you with your
commute by car between your residence and Geneva airport?
• Perceptions:
– “I can count on the car (PT) to get me to Geneva airport on
time”
– “Using the car (PT) does not cost much”
– “The car (PT) is comfortable”
• Attitudes:
– “I wouldn’t mind having to make a transfer using public
transport”
• Questions about the actual PT experience
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Analysis
• Objectives:
– Measurement of travel happiness
– Modeling of travel happiness and behavior
• In next slides:
– Descriptive analysis:
• Happiness before and after the treatment (PT use)
• Perceptions/attitudes before and after the treatment
• Happiness and mode choice
– A framework for modeling happiness and behavior
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Analysis: Pre-TreatmentCommute Satisfaction by Car
0
2
4
6
8
10
12
14
16
Very
dissatisfied
Dissatisfied Neither
satisfied nor
dissatisfied
Satisfied Very
satisfied
Nu
mb
er
of
Part
icip
an
ts• Taking all things together, how satisfied are you with
your commute by car between your residence and Geneva airport?
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Analysis: Pre-TreatmentReasons for Not Using PT: Qualitative Comments
« L'arrêt de la gare de Bassins
se trouve à 3 km du village, il
faut traverser la forêt, aucune
lumière pour y arriver! Pas de
parking possible à la gare de
Bassins, une vrai catastrophe!
En outre, la desserte des bus est
correcte uniquement aux heures
scolaires, sinon c'est galère!
Les bus sont bondés, on ne peut
même pas s'assoir! En résumé
et malheureusement, la liberté
passe par la voiture! »
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Analysis: Pre-TreatmentReasons for Not Using PT: Qualitative Comments
• Travel time (6)
• Hours of operation (5)
• Flexibility (4)
• Comfort (2)
• Frequency of PT (2)
• Bad connections (2)
• Crowding (2)
• Access (2)
• Park-and-ride (2)
• Transfers (1)
• Cost (1)
« L'arrêt de la gare de Bassins
se trouve à 3 km du village, il
faut traverser la forêt, aucune
lumière pour y arriver! Pas de
parking possible à la gare de
Bassins, une vrai catastrophe!
En outre, la desserte des bus est
correcte uniquement aux heures
scolaires, sinon c'est galère!
Les bus sont bondés, on ne peut
même pas s'assoir! En résumé
et malheureusement, la liberté
passe par la voiture! »
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Analysis: Pre-TreatmentPerceptions about Travel Time
• “The car (public transport) gets me to Geneva
airport quickly”
0
2
4
6
8
10
12
14
16
Strongly
disagree
Disagree Neither
agree nor
disagree
Agree Strongly
agree
Nu
mb
er
of
Part
icip
an
ts
Car
PT
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Analysis: Post-TreatmentChange in Commute Satisfaction by Car
0
2
4
6
8
10
12
14
16
Less satisfied Equally satisfied More satisfied
Nu
mb
er
of
Part
icip
an
ts• Taking all things together, how satisfied are you with your
commute by car between your residence and Geneva airport? (Very dissatisfied -- Very satisfied)
People felt the same or more satisfied with their commute
by car after trying public transport
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Analysis: Post-TreatmentChange in Happiness about Decision to Commute by Car
• After your experience during this study, how do you feel about
your decision to use the car for commuting to work? (Less happy
-- Happier)
0
2
4
6
8
10
12
14
16
Less happy Equally happy Happier
Nu
mb
er
of
Part
icip
an
ts
People generally felt happier about their decision to
commute by car after trying public transport
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Analysis: Post-TreatmentCommute Satisfaction by PT
0
2
4
6
8
10
12
14
16
Very dissatisfied Dissatisfied Neither satisfied
nor dissatisfied
Satisfied Very satisfied
Nu
mb
er
of
Part
icip
an
ts• Taking all things together, how satisfied were you with your
commute by public transport between your residence and Geneva airport during this study? (Very dissatisfied -- Very satisfied)
Some participants were dissatisfied, but most were
neither satisfied nor dissatisfied
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Analysis: Post-TreatmentChange in Perceptions: Travel Time
0
2
4
6
8
10
12
14
16
Worse perception Same perception Better perception
Nu
mb
er
of
Part
icip
an
ts
• Several participants corrected their perceptions about travel time by public transport
• When asked about how the experience compared to expectations, most participants said they had a worse than expected travel time
• “Public
transport
gets me to
Geneva
airport
quickly”
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Analysis: Post-TreatmentMode Choice and Intentions in Week 3
• In Week 3 (free choice), 9 out of 15 participants commuted
by PT at least once but only 5 had an intention to use PT in
the future
• How is satisfaction with PT correlated to behavior?
0.200.380.220.33Pr(dissatisfied)
3.02.42.82.5Avg
(satisfaction)
Probable to
use PT in
future
Improbable
to use PT in
future
Used PT in
Week 3
Didn’t use
PT in Week
3
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Framework for Modeling Travel
Happiness
• Structural Model:
( ) ( )
( ) ( ) ( )434214434421
4434421
ationDisconfirmcar toComparison
PT toComparison
:(2)
:(1)
PTPTPTcarPTPT
PTcarcarcar
X~,XhX,XgXfH
X,XgXfH
++=
+=
• Measurement Model:
– Indicators of happiness
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Modeling Happiness and Choice
• Test two possibilities:
– Happiness as a predictor of choice
– Happiness as utility
• In this case, the happiness data provide additional indicators
of utility
( )
( )PTPT
carcar
HfU
HfU
=
=
:(4)
:(3)
(With actual choice as indicator of utility)
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3. Conclusion
• Preliminary results show that happiness
measure collected after experience of PT
differs from that collected before
– Need to show which measure is a better predictor
of behavior
• Policy implications for public transport
agencies
• Next steps
– Conduct similar experiments at MIT and BU
– Propose a transportation planning framework
incorporating well-being