Psychometric Scales Survey -...

Psychometric Scales Survey Nadine Rieser

Kay W. Axhausen

Travel Survey Metadata Series 57 August 20144

Travel Survey Metadata Series

Psychometric Scales Survey

Nadine Rieser IVT, ETH Zürich CH-8093 Zürich

Kay W. Axhausen IVT, ETH Zürich CH-8093 Zürich

August 2014

Abstract This data originates from a paper-and-pen mail-out survey that consisted of three components: a questionnaire asking for person and household characteristics, three psychometric scales covering the topics risk propensity, variety seeking and environmentalism and a one-day travel diary. The goal of the survey was to estimate latent variable mode choice models in which the pychometric scales serve as indicators for the participants attitudes. The survey also served as a pretest for a larger survey in which the psychometric scales are combined with GPS-based one-week travel diaries.

During the survey, 2000 questionnaires were sent out to respondents living in Canton Zurich in 2 waves during summer and fall 2010. For the diary, the respondents were assigned a survey day that was a Tuesday, Wednesday or Thursday to capture only ordinary weekdays. 2.7% of the letters were returned due to invalid addresses, of the 1946 potential respondents with valid addresses 274 returned at least one questionnaire resulting in a response rate of 14.1%. However, not all respondents return all parts of the survey and not all of the returned questionnaires were usable for later analysis. After cleaning the questionnaires of 222 persons remained that are giving in this data set.

Keywords

Psychometric scales

Preferred citation style

Rieser, N. (2014) Psychometric Scales Survey, Travel Survey Metadata Series, 57, Institute for Transport Planning and Systems (IVT); ETH Zürich, Zürich.

Schüssler, N. and K.W. Axhausen (2011) Psychometric scales for risk propensity, environmentalism andvariety seeking, paper presented at the 9th International Conference on Survey Methods in Transport,Termas de Puyehue, November 2011. Rieser-Schüssler, N. and K.W. Axhausen (2012) Investigating theinfluence of environmentalism and variety-seeking on mode choice, Transportation Research Record,2322, 31-41.

1.0 Document Description

Citation

Title: Psychometric Scales Survey

IdentificationNumber: Psycho

Authoring Entity: Nadine Rieser (ETH Zürich)

Kay W. Axhausen (ETH Zürich)

Producer: Nadine Rieser

Kay W. Axhausen

Date of Production: 2014-08-21

Software used inProduction: Nesstar Publisher

Depositor:

Documentation Source

Title: Psycho

Depositor:

2.0 Study Description

Citation

Title: Psychometric Scales Survey

IdentificationNumber: Psycho

Authoring Entity: Nadine Rieser (ETH Zürich)

Producer: Nadine Rieser

Kay W. Axhausen

Date of Production: 2014-08-21

Software used inProduction: Nesstar Publisher

Distributor: IVT

Depositor:

Version: 1.0

Study Scope

Abstract:

This data originates from a paper-and-pen mail-out survey that consisted ofthree components: a questionnaire asking for person and householdcharacteristics, three psychometric scales covering the topics risk propensity,variety seeking and environmentalism and a one-day travel diary. The goal ofthe survey was to estimate latent variable mode choice models in which thepychometric scales serve as indicators for the participants attitudes. Thesurvey also served as a pretest for a larger survey in which the psychometricscales are combined with GPS-based one-week travel diaries. During thesurvey, 2000 questionnaires were sent out to respondents living in CantonZurich in 2 waves during summer and fall 2010. For the diary, the respondentswere assigned a survey day that was a Tuesday, Wednesday or Thursday tocapture only ordinary weekdays. 2.7% of the letters were returned due toinvalid addresses, of the 1946 potential respondents with valid addresses 274returned at least one questionnaire resulting in a response rate of 14.1%.However, not all respondents return all parts of the survey and not all of thereturned questionnaires were usable for later analysis. After cleaning thequestionnaires of 222 persons remained that are giving in this data set. Thesurvey and subsequent analysis are described in: Schüssler, N. and K.W.Axhausen (2011) Psychometric scales for risk propensity, environmentalismand variety seeking, paper presented at the 9th International Conference onSurvey Methods in Transport, Termas de Puyehue, November 2011. Rieser-Schüssler, N. and K.W. Axhausen (2012) Investigating the influence ofenvironmentalism and variety-seeking on mode choice, TransportationResearch Record, 2322, 31-41.

Country: Switzerland

GeographicCoverage: Zürich

Other Study Description Materials

Related Publications

Citation

Title: Psychometric scales for risk propensity, environmentalism and variety seeking

Citation

Title: Investigating the influence of environmentalism and variety-seeking on modechoice

3.0 File Description

File: Diary.NSDstat

Number of cases: 473

No. of variables per record: 22

Type of File: Nesstar 200801


File: PsychometricScales_Environmentalism.NSDstat





File: PsychometricScales_RiskPropensity.NSDstat





File: PsychometricScales_VarietySeeking.NSDstat





File: SocioDemPersons.NSDstat




4.0 Variable Description

VariableGroups

group0

group0

Variables within group0

Person IdTrip IdReason for not making any trips on survey dayStart time of the tripTravel time walk when walk is only mode [min]Travel time bike [min]Travel time car (driver) [min]Travel time car (passenger) [min]Travel time tram or bus [min]Travel time train [min]Travel time access and egress by walk [min]Travel time other modes [min]Waiting time [min]Total trip duration [min]Total trip distance [km]Trip purposeLeasure and other activitiesNumber of accompanying household members on the tripNumber of accompanying household members at the activityNumber of accompanying other persons on the tripNumber of accompanying other persons at the activityPlanning horizonPerson IdI worry about environmental problemsToo much attention is paid to environmental problemsEnvironmental problems are exaggeratedThe attention for the greenhouse effect is exaggeratedI am optimistic regarding the state and future of our environmentEnvironmental pollution affects my healthEnvironmental problems have consequences for my lifeI can see with my own eyes that the environment is deterioratingEnvironmental problems are a risk for the future of our childrenSaving threatened species is unnecessary luxuryWe should be careful with our environment because we depend on itVehicle emissions increase the expenses for health careEnvironmental protection starts with myselfPeople who do not care about environmental protection avoid their

responsibilitiesBehavioural change requires more environmental friendly productsBehavioural change requires a right example by the governmentPro-env. beh. is only useful if everybody cooperates and I don’t thinkthis will happenEnvironmental protection costs too muchEnvironmental protection is good for the economyJobs are more important than the environmentStricter vehicle smog control should be enforcedThe price of gas should be raised to reduce pollutionUsing tax dollars to pay for public transport is a good investmentThere should be incentives for using electric vehiclesWho causes environmental damage should pay to repair itPerson IdI admit if my taste differs from that of my friendsI argue with a friend if we have different opinionsI ask my boss for a raise when I think that I earned itI would date a coworkerI would openly disagree with my boss in front of my coworkersI speak my mind about unpopular issues at social occasionsI wear unconventional clothesI would cheat a fair amount on my income taxI still drive home after I had three drinks in the last two hoursI would forge somebody’s signatureI have used cable TV without paying for itI use office materials provided by my employer for private purposesI would shoplift a small item (e.g. a lipstick or a pen)I have at least once used illegally copied softwareI go camping in the wildI ski down slopes that are too difficult for meI would like to do a safari in KenyaI would go whitewater rafting at high water in springI would go on a 2 week vacation in a foreign country without bookingaheadI engage in dangerous sports, e.g. paraglidingI tried out bungee jumping at least onceI eat food that is beyond its expiration date if is still looks goodI ignore pain as long as possible before consulting a doctorI rarely use sunscreen before sunbathingI rarely wear a seat-beltI would engage in unprotected sex outside a relationshipI usually ride my bike without wearing a helmetI smoke at least one packet of cigarettes per dayI would co-sign a loan for a new car for a friendI would invest 10% of my annual income in a blue chip stockI would invest 10% of my annual income in speculative stocksI would invest 10% of my annual income in government bondsI would lend my best friend an amount of money equivalent to onemonth’s incomeI would bet a day’s income in a casinoI would accept a job that is paid solely based on commissionI always take the latest possible public transport connection to the trainstationI start earlier if I assume that there will be congestion on my routeI prefer public transport connections with very short transfer timesIf I don’t know the way I just start into the general direction and searchmy way step by stepI avoid streets that are occasionally congestedI start earlier if I have to drive an unfamiliar routeI try to be at the airport at the latest possible timePerson Id

I like to experience novelty and change in my daily lifeI sometimes look for ways to change my daily routineI like to have lots of activity around meI prefer a clearly structured, repetitive daily scheduleReoccurring rituals give me a feeling of control and securityI love surprisesA week in which all my evenings are similar bores meShops with exotic herbs and fragrances fascinate meWhen eating out I like to try unusual itemsThe content of my shopping cart looks pretty much the same all the timeI buy only trendy clothesI prefer seasonal fruits and vegetablesI actively search for bands whose music I do not yet knowI always shop at the same supermarketI like to explore unknown towns or parts of my townI prefer to spend my holidays always at the same locationI prefer having drinks always at my regular pubI like to try new types of sportsCultures completely different from my own fascinate meI prefer to organise my holidays spontaneouslyI always keep an open door for surprise visitorsI like to meet new peopleI like to explore new places in my town or new townsI like to try new routes to familiar destinationsI sometimes take a longer route to see something newI like to drive around just for the fun of itWhen commuting I always take the same routeI like to meet new people while travelling by trainPerson IdZip code place of residenceSchool within 10 minutes from residencePhysician within 10 minutes from residenceBank within 10 minutes from residencePost office within 10 minutes from residenceSupermarket within 10 minutes from residenceBus or tram stop within 10 minutes from residenceTrain station within 10 minutes from residencePerson has secondary residenceSecondary residence is in SwitzerlandNumber of persons in householdNumber of household members under 6 years of ageNumber of household members aged 6 to 12Number of household members aged 12 to 18Number of household members older than 18Number of cars available to the householdNumber of motorbikes available to the householdNumber of bikes available to the householdMonthly household income [CHF]SexAgeNationalityMaritial statusHighest level of educationEmployment statusZip code work locationAvailability of parking space at work locationParking cost at work locationHas a driving licenseCar availabilityMember of a car sharing organisationGA (nationwide season ticket) holder

Halbtax (half fare card) holderGleis 7 Abo holderMonthly travel card holderYearly travel card holderMultiple trip card holderSingle route subscription holderOther public transport subscription holderAverage yearly mileage car [km]Average yearly mileage public transport [km]Average yearly mileage bike [km]

Variables

Variable: Person Id

Location:

Width: 3

Value Label Frequency

5 . 3

13 . 6

24 . 1

55 . 3

75 . 3

76 . 6

78 . 6

101 . 4

104 . 1

107 . 2

109 . 8

110 . 1

114 . 2

121 . 2

123 . 4

126 . 1

131 . 1

139 . 1

148 . 4

151 . 2

159 . 5

176 . 5

184 . 2

212 . 1

225 . 2

229 . 1

241 . 8

251 . 1

255 . 3

257 . 2

261 . 4

282 . 8

291 . 1

296 . 1

307 . 4

315 . 1

323 . 3

335 . 3

372 . 1

382 . 6

394 . 3

409 . 4

417 . 2

425 . 8

426 . 6

434 . 2

445 . 4

449 . 5

453 . 2

473 . 5

484 . 1

503 . 5

514 . 1

519 . 2

541 . 1

547 . 2

548 . 1

549 . 2

568 . 4

587 . 1

591 . 4

597 . 3

611 . 6

628 . 4

630 . 4

641 . 1

648 . 1

665 . 1

668 . 12

675 . 3

701 . 1

713 . 4

716 . 1

717 . 1

723 . 4

726 . 2

728 . 2

738 . 4

760 . 1

765 . 6

773 . 9

777 . 5

787 . 2

795 . 4

818 . 1

821 . 1

826 . 6

835 . 6

839 . 2

840 . 4

851 . 1

888 . 1

903 . 4

913 . 1

915 . 1

940 . 1

945 . 1

946 . 2

956 . 6

957 . 8

2636 . 6

2637 . 6

2641 . 1

2648 . 2

2652 . 2

2654 . 2

2656 . 3

2657 . 6

2658 . 4

2667 . 4

2676 . 5

2677 . 1

2697 . 6

2722 . 8

2723 . 4

2733 . 2

2734 . 3

2736 . 5

2761 . 1

2772 . 7

2775 . 1

2782 . 2

2786 . 5

2791 . 2

2794 . 5

2806 . 1

2810 . 4

2812 . 7

2815 . 4

2817 . 1

2819 . 2

2820 . 4

2821 . 6

2845 . 2

2849 . 4

2868 . 1

2875 . 7

2878 . 4

2885 . 2

2914 . 1

2927 . 4

2961 . 5

2972 . 2

2992 . 4

Range of Valid Data Values: 5 to 2992

Summary Statistics:

Variable Format: numeric

Variable: Trip Id

Location:

Width: 3


0 . 32

1 . 111

2 . 104

3 . 75

4 . 64

5 . 37

6 . 26

7 . 11

8 . 8

9 . 2

10 . 1

11 . 1

12 . 1


Summary Statistics:


Variable: Reason for not making any trips on survey day

Location:

Width: 5


1 . Vacation 16

2 . Sickness 5

3 . Housework 7

4 . Gardening 2

5 . Too hot outside 1

6 . Work at home 1

Sysmiss . 441


Summary Statistics:


Variable: Start time of the trip

Location:

Width: 5

Summary Statistics:

Variable Format: character

Variable: Travel time walk when walk is only mode [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 120

Mean : 3.828

Standard deviation : 12.444


Variable: Travel time bike [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 330

Mean : 2.798



Variable: Travel time car (driver) [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 150

Mean : 9.522



Variable: Travel time car (passenger) [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 125

Mean : 1.995



Variable: Travel time tram or bus [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 42

Mean : 1.871



Variable: Travel time train [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 120

Mean : 4.483



Variable: Travel time access and egress by walk [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 25

Mean : 1.132



Variable: Travel time other modes [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 120

Mean : 0.633



Variable: Waiting time [min]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 30

Mean : 1.432



Variable: Total trip duration [min]

Location:

Width: 5


Summary Statistics:

Minimum : 1

Maximum : 410

Mean : 27.44



Variable: Total trip distance [km]

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 180

Mean : 15.229



Variable: Trip purpose

Location: Value Label Frequency

Width: 5 1 . Returning home 154

2 . Pick up/drop off 17

3 . Work/Education 96

4 . Shopping everyday supplies 19

5 . Shopping long term supply 12

6 . Maintenance (doctor, dentist, hairdresser,...) 29

7 . Business 22

8 . Leasure 84

9 . Other 7

Sysmiss. 33


Summary Statistics:


Variable: Leasure and other activities

Location:

Width: 5


1 . Eating out 21

2 . Meeting friends/relatives 16

3 . Bathing 9

4 . Sports 16

5 . Excursion 11

6 . Taking a walk 7

7 . Caring for relatives 1

8 . Cultural activities (Theater, Museums, ...) 1

9 . Partying 1

10 . Holiday home 0

11 . Other 7

Sysmiss . 383


Summary Statistics:


Variable: Number of accompanying household members on the trip

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 5

Mean : 0.379



Variable: Number of accompanying household members at the activity

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 5

Mean : 0.185



Variable: Number of accompanying other persons on the trip

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 12

Mean : 0.349



Variable: Number of accompanying other persons at the activity

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 63

Mean : 0.45



Variable: Planning horizon

Location:

Width: 5


1 . Routine/return home 230

2 . One to several days 120

3 . During the day 27

4 . Spontaneous 60

Sysmiss . 36


Summary Statistics:


Variable: Person Id

Location:

Width: 11


5 . 1

13 . 1

24 . 1

55 . 1

75 . 1

76 . 1

78 . 1

101 . 1

104 . 1

107 . 1

109 . 1

110 . 1

114 . 1

121 . 1

123 . 1

126 . 1

131 . 1

139 . 1

148 . 1

151 . 1

159 . 1

176 . 1

184 . 1

212 . 1

225 . 1

229 . 1

241 . 1

251 . 1

255 . 1

257 . 1

261 . 1

282 . 1

291 . 1

296 . 1

307 . 1

315 . 1

323 . 1

335 . 1

372 . 1

382 . 1

394 . 1

409 . 1

417 . 1

425 . 1

426 . 1

434 . 1

445 . 1

449 . 1

453 . 1

473 . 1

484 . 1

503 . 1

514 . 1

519 . 1

541 . 1

547 . 1

548 . 1

549 . 1

568 . 1

587 . 1

591 . 1

597 . 1

611 . 1

628 . 1

630 . 1

641 . 1

648 . 1

665 . 1

668 . 1

675 . 1

701 . 1

713 . 1

716 . 1

717 . 1

723 . 1

726 . 1

728 . 1

738 . 1

760 . 1

765 . 1

773 . 1

777 . 1

787 . 1

795 . 1

818 . 1

821 . 1

826 . 1

835 . 1

839 . 1

840 . 1

851 . 1

888 . 1

903 . 1

913 . 1

915 . 1

940 . 1

945 . 1

946 . 1

956 . 1

957 . 1

2007 . 1

2013 . 1

2024 . 1

2027 . 1

2033 . 1

2042 . 1

2045 . 1

2052 . 1

2065 . 1

2067 . 1

2078 . 1

2096 . 1

2101 . 1

2108 . 1

2114 . 1

2128 . 1

2132 . 1

2147 . 1

2154 . 1

2171 . 1

2179 . 1

2183 . 1

2186 . 1

2199 . 1

2207 . 1

2212 . 1

2245 . 1

2261 . 1

2263 . 1

2267 . 1

2286 . 1

2295 . 1

2304 . 1

2305 . 1

2316 . 1

2332 . 1

2350 . 1

2362 . 1

2375 . 1

2378 . 1

2382 . 1

2383 . 1

2417 . 1

2419 . 1

2428 . 1

2431 . 1

2457 . 1

2461 . 1

2466 . 1

2485 . 1

2488 . 1

2490 . 1

2498 . 1

2500 . 1

2504 . 1

2508 . 1

2513 . 1

2524 . 1

2529 . 1

2536 . 1

2537 . 1

2538 . 1

2540 . 1

2542 . 1

2548 . 1

2556 . 1

2563 . 1

2566 . 1

2569 . 1

2573 . 1

2576 . 1

2578 . 1

2592 . 1

2611 . 1

2619 . 1

2621 . 1

2623 . 1

2631 . 1

2636 . 1

2637 . 1

2641 . 1

2648 . 1

2652 . 1

2654 . 1

2656 . 1

2657 . 1

2658 . 1

2667 . 1

2676 . 1

2677 . 1

2697 . 1

2722 . 1

2723 . 1

2733 . 1

2734 . 1

2736 . 1

2761 . 1

2772 . 1

2775 . 1

2782 . 1

2786 . 1

2791 . 1

2794 . 1

2806 . 1

2810 . 1

2812 . 1

2815 . 1

2817 . 1

2819 . 1

2820 . 1

2821 . 1

2845 . 1

2849 . 1

2868 . 1

2875 . 1

2878 . 1

2885 . 1

2914 . 1

2927 . 1

2961 . 1

2972 . 1

2992 . 1


Summary Statistics:


Variable: I worry about environmental problems

Location:

Width: 11


1 . Strongly disagree 9

2 . Disagree 5

3 . Neither agree nor disagree 45

4 . Agree 57

5 . Strongly agree 105

Sysmiss . 1


Summary Statistics:


Variable: Too much attention is paid to environmental problems

Location:

Width: 11



2 . Disagree 58


4 . Agree 22


Sysmiss . 1


Summary Statistics:


Variable: Environmental problems are exaggerated

Location:

Width: 11



2 . Disagree 56


4 . Agree 25



Summary Statistics:


Variable: The attention for the greenhouse effect is exaggerated

Location:

Width: 11



2 . Disagree 52


4 . Agree 35



Summary Statistics:


Variable: I am optimistic regarding the state and future of our environment

Location:

Width: 11



2 . Disagree 60


4 . Agree 36



Summary Statistics:


Variable: Environmental pollution affects my health

Location:

Width: 11



2 . Disagree 2


4 . Agree 58


Sysmiss . 1


Summary Statistics:


Variable: Environmental problems have consequences for my life

Location:

Width: 11



2 . Disagree 14


4 . Agree 55


Sysmiss . 6


Summary Statistics:


Variable: I can see with my own eyes that the environment is deteriorating

Location:

Width: 11



2 . Disagree 20


4 . Agree 64


Sysmiss . 1


Summary Statistics:


Variable: Environmental problems are a risk for the future of our children

Location:

Width: 11



2 . Disagree 2


4 . Agree 52



Summary Statistics:


Variable: Saving threatened species is unnecessary luxury

Location:

Width: 11



2 . Disagree 27


4 . Agree 11


Sysmiss . 1


Summary Statistics:


Variable: We should be careful with our environment because we depend on it

Location:

Width: 11



2 . Disagree 1


4 . Agree 29



Summary Statistics:


Variable: Vehicle emissions increase the expenses for health care

Location:

Width: 11



2 . Disagree 12


4 . Agree 48


Sysmiss . 5


Summary Statistics:


Variable: Environmental protection starts with myself


Width: 11 1 . Strongly disagree 3

2 . Disagree 4


4 . Agree 36


Sysmiss . 2


Summary Statistics:


Variable: People who do not care about environmental protection avoid theirresponsibilities

Location:

Width: 11



2 . Disagree 14


4 . Agree 61



Summary Statistics:


Variable: Behavioural change requires more environmental friendly products

Location:

Width: 11



2 . Disagree 9


4 . Agree 56


Sysmiss . 3


Summary Statistics:


Variable: Behavioural change requires a right example by the government

Location:

Width: 11



2 . Disagree 11


4 . Agree 52


Sysmiss . 1


Summary Statistics:


Variable: Pro-env. beh. is only useful if everybody cooperates and I don’t think this willhappen

Location:

Width: 11



2 . Disagree 34


4 . Agree 56


Sysmiss . 1


Summary Statistics:


Variable: Environmental protection costs too much

Location:

Width: 11



2 . Disagree 42


4 . Agree 20



Summary Statistics:


Variable: Environmental protection is good for the economy

Location:

Width: 11



2 . Disagree 14


4 . Agree 57


Sysmiss . 3


Summary Statistics:


Variable: Jobs are more important than the environment

Location:

Width: 11



2 . Disagree 46


4 . Agree 24


Sysmiss . 2


Summary Statistics:


Variable: Stricter vehicle smog control should be enforced

Location:

Width: 11



2 . Disagree 18


4 . Agree 57


Sysmiss . 3


Summary Statistics:


Variable: The price of gas should be raised to reduce pollution

Location:

Width: 11



2 . Disagree 33


4 . Agree 38


Sysmiss . 1


Summary Statistics:


Variable: Using tax dollars to pay for public transport is a good investment

Location:

Width: 11



2 . Disagree 11


4 . Agree 57


Sysmiss . 1


Summary Statistics:


Variable: There should be incentives for using electric vehicles

Location:

Width: 11



2 . Disagree 15


4 . Agree 53


Sysmiss . 5


Summary Statistics:


Variable: Who causes environmental damage should pay to repair it

Location:

Width: 11



2 . Disagree 3


4 . Agree 62



Summary Statistics:


Variable: Person Id

Location:

Width: 11


5 . 1

13 . 1

24 . 1

55 . 1

75 . 1

76 . 1

78 . 1

101 . 1

104 . 1

107 . 1

109 . 1

110 . 1

114 . 1

121 . 1

123 . 1

126 . 1

131 . 1

139 . 1

148 . 1

151 . 1

159 . 1

176 . 1

184 . 1

212 . 1

225 . 1

229 . 1

241 . 1

251 . 1

255 . 1

257 . 1

261 . 1

282 . 1

291 . 1

296 . 1

307 . 1

315 . 1

323 . 1

335 . 1

372 . 1

382 . 1

394 . 1

409 . 1

417 . 1

425 . 1

426 . 1

434 . 1

445 . 1

449 . 1

453 . 1

473 . 1

484 . 1

503 . 1

514 . 1

519 . 1

541 . 1

547 . 1

548 . 1

549 . 1

568 . 1

587 . 1

591 . 1

597 . 1

611 . 1

628 . 1

630 . 1

641 . 1

648 . 1

665 . 1

668 . 1

675 . 1

701 . 1

713 . 1

716 . 1

717 . 1

723 . 1

726 . 1

728 . 1

738 . 1

760 . 1

765 . 1

773 . 1

777 . 1

787 . 1

795 . 1

818 . 1

821 . 1

826 . 1

835 . 1

839 . 1

840 . 1

851 . 1

888 . 1

903 . 1

913 . 1

915 . 1

940 . 1

945 . 1

946 . 1

956 . 1

957 . 1

2007 . 1

2013 . 1

2024 . 1

2027 . 1

2033 . 1

2042 . 1

2045 . 1

2052 . 1

2065 . 1

2067 . 1

2078 . 1

2096 . 1

2101 . 1

2108 . 1

2114 . 1

2128 . 1

2132 . 1

2147 . 1

2154 . 1

2171 . 1

2179 . 1

2183 . 1

2186 . 1

2199 . 1

2207 . 1

2212 . 1

2245 . 1

2261 . 1

2263 . 1

2267 . 1

2286 . 1

2295 . 1

2304 . 1

2305 . 1

2316 . 1

2332 . 1

2350 . 1

2362 . 1

2375 . 1

2378 . 1

2382 . 1

2383 . 1

2417 . 1

2419 . 1

2428 . 1

2431 . 1

2457 . 1

2461 . 1

2466 . 1

2485 . 1

2488 . 1

2490 . 1

2498 . 1

2500 . 1

2504 . 1

2508 . 1

2513 . 1

2524 . 1

2529 . 1

2536 . 1

2537 . 1

2538 . 1

2540 . 1

2542 . 1

2548 . 1

2556 . 1

2563 . 1

2566 . 1

2569 . 1

2573 . 1

2576 . 1

2578 . 1

2592 . 1

2611 . 1

2619 . 1

2621 . 1

2623 . 1

2631 . 1

2636 . 1

2637 . 1

2641 . 1

2648 . 1

2652 . 1

2654 . 1

2656 . 1

2657 . 1

2658 . 1

2667 . 1

2676 . 1

2677 . 1

2697 . 1

2722 . 1

2723 . 1

2733 . 1

2734 . 1

2736 . 1

2761 . 1

2772 . 1

2775 . 1

2782 . 1

2786 . 1

2791 . 1

2794 . 1

2806 . 1

2810 . 1

2812 . 1

2815 . 1

2817 . 1

2819 . 1

2820 . 1

2821 . 1

2845 . 1

2849 . 1

2868 . 1

2875 . 1

2878 . 1

2885 . 1

2914 . 1

2927 . 1

2961 . 1

2972 . 1

2992 . 1


Summary Statistics:


Variable: I admit if my taste differs from that of my friends

Location:

Width: 11



2 . Disagree 8


4 . Agree 67


Sysmiss . 1


Summary Statistics:


Variable: I argue with a friend if we have different opinions

Location:

Width: 11



2 . Disagree 10


4 . Agree 57


Sysmiss . 1


Summary Statistics:


Variable: I ask my boss for a raise when I think that I earned it

Location:

Width: 11



2 . Disagree 24


4 . Agree 43


Sysmiss . 19


Summary Statistics:


Variable: I would date a coworker

Location:

Width: 11



2 . Disagree 33


4 . Agree 15


Sysmiss . 10


Summary Statistics:


Variable: I would openly disagree with my boss in front of my coworkers

Location:

Width: 11



2 . Disagree 32


4 . Agree 40


Sysmiss . 7


Summary Statistics:


Variable: I speak my mind about unpopular issues at social occasions

Location:

Width: 11



2 . Disagree 22


4 . Agree 60


Sysmiss . 2


Summary Statistics:


Variable: I wear unconventional clothes

Location:

Width: 11



2 . Disagree 41


4 . Agree 34


Sysmiss . 6


Summary Statistics:


Variable: I would cheat a fair amount on my income tax

Location:

Width: 11



2 . Disagree 35


4 . Agree 6


Sysmiss . 3


Summary Statistics:


Variable: I still drive home after I had three drinks in the last two hours

Location:

Width: 11



2 . Disagree 25


4 . Agree 16


Sysmiss . 6


Summary Statistics:


Variable: I would forge somebody’s signature

Location:

Width: 11



2 . Disagree 15


4 . Agree 2


Sysmiss . 1


Summary Statistics:


Variable: I have used cable TV without paying for it

Location:

Width: 11



2 . Disagree 9


4 . Agree 7


Sysmiss . 4


Summary Statistics:


Variable: I use office materials provided by my employer for private purposes

Location:

Width: 11



2 . Disagree 37


4 . Agree 32


Sysmiss . 7


Summary Statistics:


Variable: I would shoplift a small item (e.g. a lipstick or a pen)

Location:

Width: 11



2 . Disagree 14


4 . Agree 2


Sysmiss . 1


Summary Statistics:


Variable: I have at least once used illegally copied software

Location:

Width: 11



2 . Disagree 19


4 . Agree 17


Sysmiss . 5


Summary Statistics:


Variable: I go camping in the wild

Location:

Width: 11



2 . Disagree 22


4 . Agree 18


Sysmiss . 8


Summary Statistics:


Variable: I ski down slopes that are too difficult for me



2 . Disagree 34


4 . Agree 14


Sysmiss . 9


Summary Statistics:


Variable: I would like to do a safari in Kenya

Location:

Width: 11



2 . Disagree 16


4 . Agree 31


Sysmiss . 3


Summary Statistics:


Variable: I would go whitewater rafting at high water in spring

Location:

Width: 11



2 . Disagree 18


4 . Agree 13


Sysmiss . 2


Summary Statistics:


Variable: I would go on a 2 week vacation in a foreign country without booking ahead

Location:

Width: 11



2 . Disagree 21


4 . Agree 36


Sysmiss . 1


Summary Statistics:


Variable: I engage in dangerous sports, e.g. paragliding

Location:

Width: 11



2 . Disagree 16


4 . Agree 5


Sysmiss . 1


Summary Statistics:


Variable: I tried out bungee jumping at least once

Location:

Width: 11



2 . Disagree 0


4 . Agree 3


Sysmiss . 2


Summary Statistics:


Variable: I eat food that is beyond its expiration date if is still looks good

Location:

Width: 11



2 . Disagree 33


4 . Agree 49


Sysmiss . 1


Summary Statistics:


Variable: I ignore pain as long as possible before consulting a doctor

Location:

Width: 11



2 . Disagree 50


4 . Agree 37



Summary Statistics:


Variable: I rarely use sunscreen before sunbathing

Location:

Width: 11



2 . Disagree 35


4 . Agree 25


Sysmiss . 1


Summary Statistics:


Variable: I rarely wear a seat-belt

Location:

Width: 11



2 . Disagree 9


4 . Agree 1


Sysmiss . 3


Summary Statistics:


Variable: I would engage in unprotected sex outside a relationship

Location:

Width: 11



2 . Disagree 17


4 . Agree 3


Sysmiss . 4


Summary Statistics:


Variable: I usually ride my bike without wearing a helmet

Location:

Width: 11



2 . Disagree 19


4 . Agree 19


Sysmiss . 5


Summary Statistics:


Variable: I smoke at least one packet of cigarettes per day

Location:

Width: 11



2 . Disagree 3


4 . Agree 9


Sysmiss . 2


Summary Statistics:


Variable: I would co-sign a loan for a new car for a friend

Location:

Width: 11



2 . Disagree 31


4 . Agree 18


Sysmiss . 3


Summary Statistics:


Variable: I would invest 10% of my annual income in a blue chip stock

Location:

Width: 11



2 . Disagree 27


4 . Agree 24


Sysmiss . 3


Summary Statistics:


Variable: I would invest 10% of my annual income in speculative stocks

Location:

Width: 11



2 . Disagree 30


4 . Agree 10


Sysmiss . 3


Summary Statistics:


Variable: I would invest 10% of my annual income in government bonds

Location:

Width: 11



2 . Disagree 21


4 . Agree 25


Sysmiss . 6


Summary Statistics:


Variable: I would lend my best friend an amount of money equivalent to one month’sincome

Location:

Width: 11



2 . Disagree 21


4 . Agree 40


Sysmiss . 2


Summary Statistics:


Variable: I would bet a day’s income in a casino

Location:

Width: 11



2 . Disagree 16


4 . Agree 14



Summary Statistics:


Variable: I would accept a job that is paid solely based on commission

Location:

Width: 11



2 . Disagree 44


4 . Agree 4


Sysmiss . 8


Summary Statistics:


Variable: I always take the latest possible public transport connection to the train station

Location:

Width: 11



2 . Disagree 39


4 . Agree 35


Sysmiss . 2


Summary Statistics:


Variable: I start earlier if I assume that there will be congestion on my route

Location:

Width: 11



2 . Disagree 6


4 . Agree 63


Sysmiss . 6


Summary Statistics:


Variable: I prefer public transport connections with very short transfer times

Location:

Width: 11



2 . Disagree 20


4 . Agree 41



Summary Statistics:


Variable: If I don’t know the way I just start into the general direction and search myway step by step

Location:

Width: 11



2 . Disagree 29


4 . Agree 51


Sysmiss . 3


Summary Statistics:


Variable: I avoid streets that are occasionally congested

Location:

Width: 11



2 . Disagree 22


4 . Agree 63


Sysmiss . 5


Summary Statistics:


Variable: I start earlier if I have to drive an unfamiliar route

Location:

Width: 11



2 . Disagree 20


4 . Agree 72


33 . 1

Sysmiss . 3


Summary Statistics:


Variable: I try to be at the airport at the latest possible time

Location:

Width: 11



2 . Disagree 46


4 . Agree 17


Sysmiss . 3


Summary Statistics:


Variable: Person Id

Location:

Width: 11


5 . 1

13 . 1

24 . 1

55 . 1

75 . 1

76 . 1

78 . 1

101 . 1

104 . 1

107 . 1

109 . 1

110 . 1

114 . 1

121 . 1

123 . 1

126 . 1

131 . 1

139 . 1

148 . 1

151 . 1

159 . 1

176 . 1

184 . 1

212 . 1

225 . 1

229 . 1

241 . 1

251 . 1

255 . 1

257 . 1

261 . 1

282 . 1

291 . 1

296 . 1

307 . 1

315 . 1

323 . 1

335 . 1

372 . 1

382 . 1

394 . 1

409 . 1

417 . 1

425 . 1

426 . 1

434 . 1

445 . 1

449 . 1

453 . 1

473 . 1

484 . 1

503 . 1

514 . 1

519 . 1

541 . 1

547 . 1

548 . 1

549 . 1

568 . 1

587 . 1

591 . 1

597 . 1

611 . 1

628 . 1

630 . 1

641 . 1

648 . 1

665 . 1

668 . 1

675 . 1

701 . 1

713 . 1

716 . 1

717 . 1

723 . 1

726 . 1

728 . 1

738 . 1

760 . 1

765 . 1

773 . 1

777 . 1

787 . 1

795 . 1

818 . 1

821 . 1

826 . 1

835 . 1

839 . 1

840 . 1

851 . 1

888 . 1

903 . 1

913 . 1

915 . 1

940 . 1

945 . 1

946 . 1

956 . 1

957 . 1

2007 . 1

2013 . 1

2024 . 1

2027 . 1

2033 . 1

2042 . 1

2045 . 1

2052 . 1

2065 . 1

2067 . 1

2078 . 1

2096 . 1

2101 . 1

2108 . 1

2114 . 1

2128 . 1

2132 . 1

2147 . 1

2154 . 1

2171 . 1

2179 . 1

2183 . 1

2186 . 1

2199 . 1

2207 . 1

2212 . 1

2245 . 1

2261 . 1

2263 . 1

2267 . 1

2286 . 1

2295 . 1

2304 . 1

2305 . 1

2316 . 1

2332 . 1

2350 . 1

2362 . 1

2375 . 1

2378 . 1

2382 . 1

2383 . 1

2417 . 1

2419 . 1

2428 . 1

2431 . 1

2457 . 1

2461 . 1

2466 . 1

2485 . 1

2488 . 1

2490 . 1

2498 . 1

2500 . 1

2504 . 1

2508 . 1

2513 . 1

2524 . 1

2529 . 1

2536 . 1

2537 . 1

2538 . 1

2540 . 1

2542 . 1

2548 . 1

2556 . 1

2563 . 1

2566 . 1

2569 . 1

2573 . 1

2576 . 1

2578 . 1

2592 . 1

2611 . 1

2619 . 1

2621 . 1

2623 . 1

2631 . 1

2636 . 1

2637 . 1

2641 . 1

2648 . 1

2652 . 1

2654 . 1

2656 . 1

2657 . 1

2658 . 1

2667 . 1

2676 . 1

2677 . 1

2697 . 1

2722 . 1

2723 . 1

2733 . 1

2734 . 1

2736 . 1

2761 . 1

2772 . 1

2775 . 1

2782 . 1

2786 . 1

2791 . 1

2794 . 1

2806 . 1

2810 . 1

2812 . 1

2815 . 1

2817 . 1

2819 . 1

2820 . 1

2821 . 1

2845 . 1

2849 . 1

2868 . 1

2875 . 1

2878 . 1

2885 . 1

2914 . 1

2927 . 1

2961 . 1

2972 . 1

2992 . 1


Summary Statistics:


Variable: I like to experience novelty and change in my daily life

Location:

Width: 11



2 . Disagree 25


4 . Agree 82



Summary Statistics:


Variable: I sometimes look for ways to change my daily routine

Location:

Width: 11



2 . Disagree 33


4 . Agree 71


Sysmiss . 2


Summary Statistics:


Variable: I like to have lots of activity around me

Location:

Width: 11



2 . Disagree 42


4 . Agree 41



Summary Statistics:


Variable: I prefer a clearly structured, repetitive daily schedule

Location:

Width: 11



2 . Disagree 50


4 . Agree 38


Sysmiss . 1


Summary Statistics:


Variable: Reoccurring rituals give me a feeling of control and security

Location:

Width: 11



2 . Disagree 33


4 . Agree 56


Sysmiss . 1


Summary Statistics:


Variable: I love surprises

Location:

Width: 11



2 . Disagree 18


4 . Agree 69


Sysmiss . 2


Summary Statistics:


Variable: A week in which all my evenings are similar bores me

Location:

Width: 11



2 . Disagree 41


4 . Agree 44


Sysmiss . 3


Summary Statistics:


Variable: Shops with exotic herbs and fragrances fascinate me

Location:

Width: 11



2 . Disagree 37


4 . Agree 44


Sysmiss . 1


Summary Statistics:


Variable: When eating out I like to try unusual items

Location:

Width: 11



2 . Disagree 32


4 . Agree 49



Summary Statistics:


Variable: The content of my shopping cart looks pretty much the same all the time

Location:

Width: 11



2 . Disagree 45


4 . Agree 68


Sysmiss . 1


Summary Statistics:


Variable: I buy only trendy clothes

Location:

Width: 11



2 . Disagree 60


4 . Agree 34



Summary Statistics:


Variable: I prefer seasonal fruits and vegetables

Location:

Width: 11



2 . Disagree 6


4 . Agree 63



Summary Statistics:


Variable: I actively search for bands whose music I do not yet know

Location:

Width: 11



2 . Disagree 39


4 . Agree 21


Sysmiss . 1


Summary Statistics:


Variable: I always shop at the same supermarket

Location:

Width: 11



2 . Disagree 51


4 . Agree 48



Summary Statistics:


Variable: I like to explore unknown towns or parts of my town

Location:

Width: 11



2 . Disagree 10


4 . Agree 72



Summary Statistics:


Variable: I prefer to spend my holidays always at the same location

Location:

Width: 11



2 . Disagree 47


4 . Agree 19


Sysmiss . 2


Summary Statistics:


Variable: I prefer having drinks always at my regular pub

Location:

Width: 11



2 . Disagree 52


4 . Agree 23


Sysmiss . 4


Summary Statistics:


Variable: I like to try new types of sports

Location:

Width: 11



2 . Disagree 41


4 . Agree 33



Summary Statistics:


Variable: Cultures completely different from my own fascinate me

Location:

Width: 11



2 . Disagree 18


4 . Agree 66


Sysmiss . 1


Summary Statistics:


Variable: I prefer to organise my holidays spontaneously

Location:

Width: 11



2 . Disagree 51


4 . Agree 47


Sysmiss . 1


Summary Statistics:


Variable: I always keep an open door for surprise visitors



2 . Disagree 29


4 . Agree 60


Sysmiss . 2


Summary Statistics:


Variable: I like to meet new people

Location:

Width: 11



2 . Disagree 15


4 . Agree 77


Sysmiss . 1


Summary Statistics:


Variable: I like to explore new places in my town or new towns

Location:

Width: 11



2 . Disagree 6


4 . Agree 80



Summary Statistics:


Variable: I like to try new routes to familiar destinations

Location:

Width: 11



2 . Disagree 29


4 . Agree 54



Summary Statistics:


Variable: I sometimes take a longer route to see something new

Location:

Width: 11



2 . Disagree 34


4 . Agree 76


Sysmiss . 1


Summary Statistics:


Variable: I like to drive around just for the fun of it

Location:

Width: 11



2 . Disagree 50


4 . Agree 30



Summary Statistics:


Variable: When commuting I always take the same route

Location:

Width: 11



2 . Disagree 26


4 . Agree 49


Sysmiss . 17


Summary Statistics:


Variable: I like to meet new people while travelling by train

Location:

Width: 11



2 . Disagree 44


4 . Agree 40



Summary Statistics:


Variable: Person Id

Location:

Width: 4


Summary Statistics:

Minimum : 5

Maximum : 2992

Mean : 1589.982



Variable: Zip code place of residence

Location:

Width: 4


8002 . 2

8003 . 3

8004 . 5

8006 . 1

8008 . 3

8037 . 3

8038 . 2

8041 . 1

8044 . 1

8045 . 4

8046 . 5

8047 . 3

8048 . 4

8049 . 4

8050 . 4

8051 . 2

8052 . 1

8055 . 2

8057 . 2

8102 . 2

8103 . 2

8104 . 2

8105 . 1

8108 . 1

8115 . 1

8117 . 1

8123 . 1

8125 . 3

8132 . 1

8133 . 1

8134 . 1

8135 . 2

8143 . 1

8152 . 1

8154 . 1

8162 . 1

8165 . 2

8166 . 1

8172 . 1

8180 . 2

8192 . 1

8193 . 2

8197 . 1

8245 . 2

8247 . 1

8302 . 2

8303 . 1

8304 . 5

8306 . 1

8307 . 1

8308 . 1

8309 . 2

8312 . 1

8320 . 2

8330 . 2

8335 . 2

8344 . 2

8352 . 1

8353 . 1

8400 . 11

8404 . 3

8405 . 4

8408 . 3

8413 . 1

8422 . 1

8424 . 1

8425 . 1

8426 . 2

8447 . 1

8460 . 2

8462 . 1

8467 . 1

8471 . 1

8475 . 1

8478 . 1

8482 . 1

8483 . 1

8484 . 1

8486 . 2

8487 . 1

8494 . 1

8545 . 2

8548 . 1

8600 . 2

8603 . 1

8604 . 1

8608 . 1

8610 . 11

8617 . 1

8620 . 1

8625 . 2

8627 . 2

8630 . 3

8632 . 1

8634 . 2

8635 . 1

8700 . 4

8702 . 2

8703 . 2

8704 . 1

8706 . 3

8708 . 1

8712 . 4

8800 . 1

8802 . 1

8804 . 1

8805 . 1

8810 . 2

8820 . 1

8833 . 2

8902 . 1

8904 . 1

8910 . 1

8912 . 2

8932 . 2

8942 . 1

8952 . 1

8953 . 1


Summary Statistics:


Variable: School within 10 minutes from residence


Width: 1 0 . No 54

1 . Yes 168


Summary Statistics:


Variable: Physician within 10 minutes from residence

Location:

Width: 1


0 . No 88

1 . Yes 134


Summary Statistics:


Variable: Bank within 10 minutes from residence

Location:

Width: 1


0 . No 104

1 . Yes 118


Summary Statistics:


Variable: Post office within 10 minutes from residence

Location:

Width: 1


0 . No 65

1 . Yes 157


Summary Statistics:


Variable: Supermarket within 10 minutes from residence

Location:

Width: 1


0 . No 81

1 . Yes 141


Summary Statistics:


Variable: Bus or tram stop within 10 minutes from residence

Location:

Width: 1


0 . No 19

1 . Yes 203


Summary Statistics:


Variable: Train station within 10 minutes from residence

Location:

Width: 5


0 . No 104

1 . Yes 116

Sysmiss . 2


Summary Statistics:


Variable: Person has secondary residence

Location:

Width: 1


0 . No 200

1 . Yes 21

Sysmiss . 1


Summary Statistics:


Variable: Secondary residence is in Switzerland

Location:

Width: 5


0 . No 2

1 . Yes 19

Sysmiss . 201


Summary Statistics:


Variable: Number of persons in household

Location:

Width: 5


Summary Statistics:

Minimum : 1

Maximum : 6

Mean : 2.407



Variable: Number of household members under 6 years of age

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 3

Mean : 0.244



Variable: Number of household members aged 6 to 12

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 2

Mean : 0.0995



Variable: Number of household members aged 12 to 18

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 2

Mean : 0.145



Variable: Number of household members older than 18

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 5

Mean : 1.919



Variable: Number of cars available to the household

Location:

Width: 1


Summary Statistics:

Minimum : 0

Maximum : 6

Mean : 1.212



Variable: Number of motorbikes available to the household

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 3

Mean : 0.24



Variable: Number of bikes available to the household

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 9

Mean : 2.312



Variable: Monthly household income [CHF]

Location:

Width: 2


1 . < 2'000 0

2 . 2'000 - 4'000 14

3 . 4'000 - 6'000 43

4 . 6'000 - 8'000 43

5 . 8'000 - 10'000 39

6 . 10'000 - 12'000 14

7 . 12'000 - 14'000 21

8 . 14'000 - 16'000 18

9 . > 16'000 24

10 . No answer 6


Summary Statistics:


Variable: Sex

Location:

Width: 1


1 . Female 114

2 . Male 108


Summary Statistics:


Variable: Age

Location:

Width: 5


1 . < 25 0

2 . 25 - 34 23

3 . 35 - 44 43

4 . 45 - 54 56

5 . 55 - 64 61

6 . >= 65 37


Summary Statistics:

Minimum : 2

Maximum : 6


Variable: Nationality

Location:

Width: 5


1 . Swiss 192

2 . German 13

3 . Italian 2

4 . French 1

5 . Dutch 2

6 . Austrian 2

7 . Spanish 1

8 . Croatian 0

9 . Czech 1

10 . Turkish 0

11 . Swedish 0

12 . Portoguese 0

Sysmiss . 8


Summary Statistics:


Variable: Maritial status

Location:

Width: 1


1 . Single 52

2 . Married 136

3 . Separated 4

4 . Divorced 21

5 . Widowed 9


Summary Statistics:


Variable: Highest level of education

Location:

Width: 1


1 . Primary school 3

2 . Secondary school (no heeq) - Hauptschule 7

3 . Secondary school (no heeq) - Sekundarschule 12

4 . Apprenticeship 86

5 . Professional Diploma 24

6 . University of applied sciences 54

7 . University 36

8 . Other 0


Summary Statistics:


Variable: Employment status

Location:

Width: 5


1 . In training 3

2 . Employed - full time (>= 35h/week) 103

3 . Employed - part time (< 35h/week) 58

4 . Unemployed 5

5 . Housewife/househusband 12

6 . Retired 40

7 . Permanently unable to work 0

Sysmiss . 1


Summary Statistics:


Variable: Zip code work location

Location:

Width: 5


3030 . 1

4900 . 1

5116 . 1

5430 . 1

6004 . 1

6031 . 1

8000 . 2

8001 . 7

8002 . 7

8003 . 1

8004 . 8

8005 . 2

8008 . 4

8010 . 1

8012 . 1

8026 . 1

8032 . 4

8034 . 1

8037 . 1

8038 . 1

8044 . 1

8045 . 3

8046 . 1

8047 . 1

8048 . 4

8049 . 1

8050 . 3

8051 . 1

8052 . 1

8055 . 1

8057 . 1

8058 . 2

8063 . 2

8064 . 1

8092 . 1

8093 . 1

8108 . 1

8112 . 2

8134 . 1

8152 . 4

8166 . 1

8183 . 1

8200 . 1

8301 . 1

8302 . 3

8303 . 1

8304 . 1

8306 . 1

8330 . 1

8400 . 7

8401 . 1

8402 . 1

8405 . 1

8425 . 1

8427 . 1

8450 . 1

8451 . 1

8454 . 1

8460 . 2

8484 . 1

8488 . 1

8494 . 1

8500 . 1

8600 . 1

8602 . 1

8604 . 2

8606 . 2

8610 . 3

8620 . 3

8622 . 1

8627 . 1

8630 . 1

8636 . 1

8640 . 1

8700 . 3

8702 . 3

8706 . 2

8708 . 2

8716 . 1

8800 . 1

8805 . 1

8808 . 1

8810 . 2

8902 . 1

8908 . 1

8910 . 1

8952 . 1

8953 . 1

9006 . 1

9100 . 1

20245 . 1

Sysmiss . 69


Summary Statistics:


Variable: Availability of parking space at work location

Location:

Width: 5


0 . No 70

1 . Yes 89

Sysmiss . 63


Summary Statistics:


Variable: Parking cost at work location

Location:

Width: 5


Summary Statistics:

Minimum : 0

Maximum : 230

Mean : 23.093



Variable: Has a driving license

Location:

Width: 5


0 . No 20

1 . Yes 201

Sysmiss . 1


Summary Statistics:


Variable: Car availability


Width: 5 1 . Always 145

2 . Often 20

3 . Rarely 23

4 . Never 29

Sysmiss . 5


Summary Statistics:


Variable: Member of a car sharing organisation

Location:

Width: 5


0 . No 198

1 . Yes 19

Sysmiss . 5


Summary Statistics:


Variable: GA (nationwide season ticket) holder

Location:

Width: 5


0 . No 188

1 . Yes 33

Sysmiss . 1


Summary Statistics:


Variable: Halbtax (half fare card) holder

Location:

Width: 5


0 . No 89

1 . Yes 132

Sysmiss . 1


Summary Statistics:


Variable: Gleis 7 Abo holder

Location:

Width: 5


0 . No 221

1 . Yes 0

Sysmiss . 1


Summary Statistics:


Variable: Monthly travel card holder

Location:

Width: 5


0 . No 213

1 . Yes 8

Sysmiss . 1


Summary Statistics:


Variable: Yearly travel card holder

Location:

Width: 5


0 . No 181

1 . Yes 40

Sysmiss . 1


Summary Statistics:


Variable: Multiple trip card holder

Location:

Width: 5


0 . No 159

1 . Yes 62

Sysmiss . 1


Summary Statistics:


Variable: Single route subscription holder


Width: 5 0 . No 216

1 . Yes 5

Sysmiss . 1


Summary Statistics:


Variable: Other public transport subscription holder

Location:

Width: 5


0 . No 217

1 . Yes 4

Sysmiss . 1


Summary Statistics:


Variable: Average yearly mileage car [km]

Location:

Width: 5


1 . < 5'000 58

2 . 5'000 - 15'000 104

3 . 15'000 - 25'000 30

4 . 25'000 - 35'000 9

5 . 35'000 - 45'000 7

6 . 45'000 - 55'000 0

7 . >= 55'000 1

Sysmiss . 13


Summary Statistics:


Variable: Average yearly mileage public transport [km]

Location:

Width: 5


1 . < 5'000 128

2 . 5'000 - 15'000 40

3 . 15'000 - 25'000 13

4 . 25'000 - 35'000 3

5 . 35'000 - 45'000 2

6 . 45'000 - 55'000 1

7 . >= 55'000 4

Sysmiss . 31


Summary Statistics:


Variable: Average yearly mileage bike [km]

Location:

Width: 5


1 . < 50 46

2 . 50 - 150 50

3 . 150 - 250 14

4 . 250 - 350 2

5 . 350 - 450 5

6 . 450 - 550 21

7 . >= 550 55

Sysmiss . 29


Summary Statistics:


Psychometric Scales Survey -...

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