Multivariate exploration of the questionnaire and typology of the surveyed people The results are provided by the EnQuireR package July 28, 2010

Contents 1 Quick overview of the questionnaire

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2 Multivariate exploration of the questionnaire 2.1 Graphical representations of the questionnaire . . 2.2 Highlights on the two principal axes of variability 2.2.1 First axis . . . . . . . . . . . . . . . . . . 2.2.2 Second axis . . . . . . . . . . . . . . . . .

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3 Typology on the individuals 15 3.1 Choice of the number of clusters . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2 Simultaneous comparison of the clusters with respect with the most relevant variables 17 3.2.1 Number of individuals by cluster for the variable walk.more.than.20.km . . 17 3.2.2 Number of individuals by cluster for the variable walk.2.to.5.km . . . . . . 18 3.2.3 Number of individuals by cluster for the variable walk.0.to.2.km . . . . . . 19 3.2.4 Number of individuals by cluster for the variable walk.5.to.20.km . . . . . 20 3.2.5 Number of individuals by cluster for the variable public.transport.more.than.20.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.2.6 Number of individuals by cluster for the variable public.transport.5.to.20.km 22 3.2.7 Number of individuals by cluster for the variable public.transport.2.to.5.km 23 3.2.8 Number of individuals by cluster for the variable public.transport.0.to.2.km 24 3.2.9 Number of individuals by cluster for the variable scooter.5.to.20.km . . . . 25 3.2.10 Number of individuals by cluster for the variable moto.5.to.20.km . . . . . 26 3.3 Automatic description of each cluster . . . . . . . . . . . . . . . . . . . . . . . . . . 27

List of Figures 1 2 3 4 5 6 7 8 9 10 11 12 13

Representations of the individuals and of the categories on axes 1 and 2 . . . . . . Representation of the individuals using density curbs and enhanced representation of the categories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Number of clusters chosen by the analyst; representation of the individuals according to their cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Centers of gravity with confidence ellipses; representation of the individuals according to their cluster with density curbs . . . . . . . . . . . . . . . . . . . . . . . . . Number of individuals per cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable walk.more.than.20.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable walk.2.to.5.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable walk.0.to.2.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable walk.5.to.20.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable public.transport.more.than.20.km . . . . . . . . . . . . . . . . . . . . . . . Variable public.transport.5.to.20.km . . . . . . . . . . . . . . . . . . . . . . . . . . Variable public.transport.2.to.5.km . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable public.transport.0.to.2.km . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

6 6 15 16 16 17 18 19 20 21 22 23 24

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Variable scooter.5.to.20.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variable moto.5.to.20.km . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2

25 26

1

Quick overview of the questionnaire

The analysis was performed on 112 individuals described by 95 variables: •

going.to.work.or.school.by.car ( no , yes )

•

going.to.work.or.school.by.bike ( no , yes )

•

going.to.work.or.school.by.public.transport ( no , yes )

•

going.to.work.or.school.by.scooter ( no , yes )

•

going.to.work.or.school.by.motorcycle ( no , yes )

•

going.to.work.or.school.by.foot ( no , yes )

•

going.to.leisure.by.car ( no , no.answer , yes )

•

going.to.leisure.by.bike ( no , no.answer , yes )

•

going.to.leisure.by.public.transport ( no , no.answer , yes )

•

going.to.leisure.by.scooter ( no , no.answer , yes )

•

going.to.leisure.by.motorcycle ( no , no.answer , yes )

•

going.to.leisure.by.foot ( no , no.answer , yes )

•

doing.the.shopping.by.car ( no , yes )

•

doing.the.shopping.by.bike ( no , yes )

•

doing.the.shopping.by.public.transport ( no , yes )

•

doing.the.shopping.by.scooter ( no , yes )

•

going.to.leisure.by.motorcycle.1 ( no , no.answer , yes )

•

going.to.leisure.by.foot.1 ( no , no.answer , yes )

•

going.on.holidays.by.car ( no , yes )

•

going.on.holidays.by.bike ( no , yes )

•

going.on.holidays.by.public.transport ( no , yes )

•

going.on.holidays.by.scooter ( no , yes )

•

going.on.holidays.by.motorcycle ( no , yes )

•

going.on.holidays.by.feet ( no , yes )

•

travelling.generally.by.car ( no , yes )

•

travelling.generally.by.bike ( no , yes )

•

travelling.generally.by.public.transport ( no , yes )

•

travelling.generally.by.scooter ( no , yes )

•

travelling.generally.by.motorcycle ( no , yes )

•

travelling.generally.by.feet ( no , yes )

•

going.downtown.by.car ( no , no.answer , yes )

•

going.downtown.by.bike ( no , no.answer , yes )

•

going.downtown.by.public.transport ( no , no.answer , yes )

•

going.downtown.by.scooter ( no , no.answer , yes ) 3

•

going.downtown.by.motorcycle ( no , no.answer , yes )

•

going.downtown.by.feet ( no , no.answer , yes )

•

you.do.not.have.any.car ( no , yes )

•

you.do.not.have.any.bike ( no , no.answer , yes )

•

you.do.not.have.any.public.transport ( no , yes )

•

you.do.not.have.any.scooter ( no , no.answer , yes )

•

you.do.not.have.any.motorcycle ( no , no.answer , yes )

•

when.do.you.use.the.car ( all week , never , no.answer , week only , weekend )

•

when.do.you.use.the.bike ( all week , never , no.answer , week only , weekend )

•

when.do.you.use.public.transport ( all week , never , no.answer , week only , weekend )

•

when.do.you.use.the.scooter ( all week , never , no.answer , weekend )

•

when.do.you.use.the.motorcycle ( all week , never , no.answer , weekend )

•

when.do.you.walk ( all week , never , no.answer , week only , weekend )

•

how.often.do.you.use.the.car ( everyday , few times a month , few times a week , never , no.answer )

•

how.often.you.use.the.bike ( everyday , few times a month , few times a week , never , no.answer )

•

how.often.do.you.use.public.transport ( everyday , few times a month , few times a week , never , no.answer )

•

how.often.do.you.use.the.scooter no.answer )

•

how.often.do.you.use.the.motorcycle ( few times a month , few times a week , never , no.answer )

•

how.often.do.you.walk never , no.answer )

•

car.0.to.2.km ( no , no.answer , yes )

•

car.2.to.5.km ( no , no.answer , yes )

•

car.5.to.20.km ( no , no.answer , yes )

•

car.more.than.20.km ( no , no.answer , yes )

•

bike.0.to.2.km ( no , no.answer , yes )

•

bike.2.to.5.km ( no , no.answer , yes )

•

bike.5.to.20.km ( no , no.answer , yes )

•

bike.more.than.20.km ( no , no.answer )

•

public.transport.0.to.2.km ( no , no.answer , yes )

•

public.transport.2.to.5.km ( no , no.answer , yes )

•

public.transport.5.to.20.km ( no , no.answer , yes )

( everyday ,

( everyday ,

4

few times a month ,

few times a month ,

never ,

few times a week ,

•

public.transport.more.than.20.km ( no , no.answer , yes )

•

scooter.0.to.2.km ( no , no.answer , yes )

•

scooter.2.to.5.km ( no , no.answer , yes )

•

scooter.5.to.20.km ( no , no.answer , yes )

•

scooter.more.than.20.km ( no , no.answer , yes )

•

moto.0.to.2.km ( no , no.answer , yes )

•

moto.2.to.5.km ( no , no.answer , yes )

•

moto.5.to.20.km ( no , no.answer , yes )

•

moto.more.than.20.km ( no , no.answer , yes )

•

walk.0.to.2.km ( no , no.answer , yes )

•

walk.2.to.5.km ( no , no.answer , yes )

•

walk.5.to.20.km ( no , no.answer , yes )

•

walk.more.than.20.km ( no , no.answer , yes )

•

use.of.parking.relay.metro ( no , no.answer , yes )

•

buy.with.a.car.dealer ( no , no.answer , yes )

•

buy.with.a.private.individual ( no , no.answer , yes )

•

buy.at.auction ( no , no.answer , yes )

•

buy.with.a.private.individual.on.internet ( no , no.answer , yes )

•

city.dweller ( no , no.answer , yes )

•

drive.saloon.car ( no , no.answer , yes )

•

drive.four.wheeler ( no , no.answer , yes )

•

drive.estate.car ( no , no.answer , yes )

•

drive.commercial.vehicle ( no , no.answer , yes )

•

drive.sports.car ( no , no.answer , yes )

•

i.do.not.want.a.car ( no , no.answer , yes )

•

i.cannot.afford.a.car ( no , no.answer , yes )

•

buying.gasoline ( no.answer , service station , supermarket )

•

driving.licence ( 0 , 18 , 19 , 20 , 21 , 22 , 23 , 25 , 27 , 28 , 31 , 35 )

•

ticket.public.transport.season ( no , yes )

•

ticket.velostar.season ( no , yes )

•

ticket.fraud ( no , no.answer , yes )

Moreover, the dataset contained 0% of missing values.

5

2

Multivariate exploration of the questionnaire

2.1

Graphical representations of the questionnaire

The following results are obtained by performing a Multiple Correspondence Analysis (MCA) on the previous 95 variables. This method provides two important graphical displays, a representation of the individuals (surveyed people) and a representation of the categories (answers given by the surveyed people). The first two main axes of variability explain 14.57% of the information contained in the dataset (8.68% for the first factorial axis and 5.88% for the second one). In some cases the analyst may want to introduce supplementary quantitative variables.

MCA factor map

MCA factor map 3

you.do.not.have.any.scooter_no.answer scooter.more.than.20.km_no.answer scooter.5.to.20.km_no.answer scooter.2.to.5.km_no.answer moto.more.than.20.km_no.answer moto.2.to.5.km_no.answer when.do.you.use.the.scooter_no.answer how.often.do.you.use.the.scooter_no.answer going.to.work.or.school.by.scooter_yes

1.0

doing.the.shopping.by.scooter_yes going.to.leisure.by.scooter_yes

2

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travelling.generally.by.scooter_yes car.cheap_yes going.on.holidays.by.motorcycle_yes how.often.do.you.use.the.motorcycle_no.answer walk.more.than.20.km_no.answer walk.5.to.20.km_no.answer walk.0.to.2.km_no.answer walk.2.to.5.km_no.answer how.often.do.you.use.the.car_never day.to.day.environment.friendly.acts_no.answer people.using.car.fell.guilty_no.answer scooter.cheap_yes amator.tuning_yes how.often.do.you.walk_no.answer when.do.you.use.the.car_never i.do.not.want.a.car_yes public.transport.more.than.20.km_no.answer public.transport.5.to.20.km_no.answer public.transport.0.to.2.km_no.answer public.transport.2.to.5.km_no.answer how.often.do.you.use.the.scooter_everyday when.do.you.use.the.scooter_all week going.to.leisure.by.motorcycle.1_no.answer going.to.leisure.by.motorcycle_no.answer going.to.leisure.by.scooter_no.answer scooter.5.to.20.km_yes you.do.not.have.any.car_yes i.cannot.afford.a.car_yes how.often.do.you.use.the.scooter_few when.do.you.use.the.scooter_weekend timeswhen.do.you.walk_no.answer awhen.do.you.use.the.motorcycle_no.answer month scooter.more.than.20.km_yes scooter.2.to.5.km_yes how.often.do.you.use.public.transport_everyday eat.organic.food_no.answer travelling.generally.by.public.transport_yes bike.more.than.20.km_no.answer you.do.not.have.any.bike_yes doing.the.shopping.by.car_no doing.the.shopping.by.public.transport_yes car.is.above.all_a way not tostation walk going.on.holidays.by.car_no ticket.public.transport.season_yes i.do.not.want.a.car_no.answer drive.four.wheeler_no.answer drive.sports.car_no.answer service going.to.leisure.by.public.transport_yes motorcycle.too.expensive_no.answer motorcycle.convenient_no.answer motorcycle.dangerous_no.answer walking.too.expensive_no.answer motorcycle.not.for.me_no.answer motorcycle.polluting_no.answer walking.convenient_no.answer walking.dangerous_no.answer motorcycle.healthy_no.answer bike.too.expensive_no.answer walking.not.for.me_no.answer motorcycle.cheap_no.answer motorcycle.green_no.answer motorcycle.noisy_no.answer motorcycle.bobo_no.answer walking.polluting_no.answer motorcycle.tiring_no.answer motorcycle.dirty_no.answer motorcycle.long_no.answer bike.convenient_no.answer bike.dangerous_no.answer walking.healthy_no.answer bike.not.for.me_no.answer walking.cheap_no.answer walking.green_no.answer walking.noisy_no.answer walking.bobo_no.answer bike.polluting_no.answer walking.tiring_no.answer walking.dirty_no.answer walking.long_no.answer bike.healthy_no.answer bike.cheap_no.answer bike.green_no.answer bike.noisy_no.answer bike.bobo_no.answer bike.tiring_no.answer bike.dirty_no.answer bike.long_no.answer 0 global.ecological.emergency_no.answer scooter.0.to.2.km_no travelling.generally.by.car_no going.to.leisure.by.car_no sit.on.the.fence_yes public.transport.2.to.5.km_yes car.long_yes scooter.too.expensive_yes how.often.do.you.use.the.car_few times a month car.not.for.me_yes car.0.to.2.km_yes going.to.work.or.school.by.public.transport_yes you.do.not.have.any.scooter_no bike.not.for.me_yes when.do.you.use.public.transport_all week how.often.do.you.use.public.transport_few times a week public.transport.too.expensive_no.answer public.transport.convenient_no.answer public.transport.dangerous_no.answer public.transport.not.for.me_no.answer public.transport.polluting_no.answer public.transport.healthy_no.answer public.transport.cheap_no.answer public.transport.green_no.answer public.transport.noisy_no.answer public.transport.bobo_no.answer public.transport.tiring_no.answer public.transport.dirty_no.answer public.transport.long_no.answer car.convenient_no going.to.work.or.school.by.car_no going.downtown.by.car_no going.downtown.by.public.transport_yes scooter.dirty_yes motorcycle.too.expensive_yes public.transport.healthy_yes when.do.you.use.the.bike_never how.often.you.use.the.bike_never buy.with.a.car.dealer_no bike.0.to.2.km_yes going.to.work.or.school.by.foot_yes buy.at.auction_yes travelling.generally.by.feet_yes ticket.velostar.season_yes car.more.than.20.km_no when.do.you.use.the.car_weekend bike.2.to.5.km_no public.transport.cheap_yes scooter.polluting_yes bike.healthy_no car.5.to.20.km_no 20 scooter.green_yes buying.a.classic.or.an.estate.car_yes scooter.too.expensive_no.answer scooter.convenient_no.answer scooter.dangerous_no.answer scooter.not.for.me_no.answer scooter.polluting_no.answer scooter.healthy_no.answer scooter.cheap_no.answer scooter.green_no.answer scooter.noisy_no.answer scooter.bobo_no.answer scooter.tiring_no.answer scooter.dirty_no.answer scooter.long_no.answer scooter.not.for.me_no politics.socialists_no drive.saloon.car_no car.dirty_yes scooter.noisy_yes car.too.expensive_no regular.sport.practice_no choice.according.to.age.of.the.car_yes scooter.bobo_yes going.to.leisure.by.bike_no buy.with.a.private.individual_yes bike.5.to.20.km_no how.often.do.you.walk_few times a month walking.green_no car.polluting_no car.noisy_yes motorcycle.convenient_no when.do.you.use.public.transport_no.answer day.to.day.environment.friendly.acts_no scooter.healthy_yes buying.a.luxury.car_no you.do.not.have.any.motorcycle_yes public.transport.5.to.20.km_yes scooter.dangerous_yes carpool_yes moto.0.to.2.km_yes motorcycle.polluting_yes politics.ump_yes moto.5.to.20.km_no choice.according.to.brand_no drive.estate.car_yes city.dweller_no going.to.leisure.by.foot.1_no going.to.leisure.by.foot_no going.downtown.by.scooter_yes brand.important_no use.of.parking.relay.metro_no public.transport.tiring_yes bike.dirty_yes you.do.not.have.any.public.transport_yes going.to.leisure.by.motorcycle.1_no going.to.leisure.by.motorcycle_no bike.dangerous_yes public.transport.bobo_yes choice.according.to.fuel.consumption_yes bike.convenient_no public.transport.too.expensive_yes walking.cheap_yes public.transport.more.than.20.km_yes how.often.do.you.use.the.motorcycle_never choice.according.to.category_no when.do.you.use.the.motorcycle_never bike.long_no eat.organic.food_yes going.on.holidays.by.public.transport_yes ticket.fraud_yes politics.green_no motorcycle.dangerous_yes car.2.to.5.km_no choice.according.to.price_yes going.downtown.by.feet_yes motorcycle.noisy_yes car.tiring_no fruit.and.veg.market_no choice.according.to.nb.of.km_no how.often.do.you.walk_everyday buying.motor.cycle_no going.to.work.or.school.by.motorcycle_no public.transport.convenient_yes global.ecological.emergency_no politics.no.preference_no when.do.you.use.public.transport_week only choice.according.to.color_no public.transport.polluting_no public.transport.0.to.2.km_no going.downtown.by.motorcycle_no politics.modem_no walking.long_yes buy.with.a.private.individual.on.internet_no eat.in.season.fruit.and.vegetables_yes public.transport.long_yes pro.carbon.tariffs_nsp buying.scooter_no walking.convenient_no motorcycle.tiring_no choice.according.to.carbon.gas.emissions_no travelling.generally.by.motorcycle_no going.to.work.or.school.by.bike_no car.dangerous_no bike.tiring_no fruit.and.veg.supermarket_yes public.transport.not.for.me_no people.using.car.fell.guilty_yes pro.carbon.tariffs_no drive.commercial.vehicle_no choice.according.to.power_yes buying.a.bike_no politics.far.right_no fruit.and.veg.direct.sell_no going.on.holidays.by.bike_no walking.dangerous_no going.on.holidays.by.feet_no bike.cheap_no going.downtown.by.bike_no bike.bobo_no no.needs_no fruit.and.veg.vegetable.garden_no travelling.generally.by.bike_no politics.far.left_yes car.green_no public.transport.green_yes car.bobo_no scooter.tiring_no buying.a.wheeler_no drive.sports.car_no scooter.convenient_no walking.not.for.me_no motorcycle.not.for.me_yes going.on.holidays.by.scooter_no motorcycle.bobo_no car.healthy_no doing.the.shopping.by.bike_no scooter.long_no going.downtown.by.scooter_no politics.far.left_no walking.healthy_no choice.according.to.power_no bike.green_yes walking.tiring_no you.do.not.have.any.public.transport_no drive.four.wheeler_no public.transport.dirty_no walking.bobo_no public.transport.noisy_no scooter.green_no walk.2.to.5.km_yes motorcycle.dirty_no scooter.healthy_no motorcycle.long_no politics.ump_no walking.too.expensive_no motorcycle.healthy_no bike.too.expensive_no motorcycle.cheap_no motorcycle.green_no walking.polluting_no walking.noisy_no bike.polluting_no walking.dirty_no bike.noisy_no car.long_no car.cheap_no walking.healthy_yes pro.carbon.tariffs_yes bike.dirty_no car.is.above.all_independance public.transport.dangerous_no buy.at.auction_no car.not.for.me_no travelling.generally.by.scooter_no public.transport.bobo_no scooter.cheap_no buying.a.classic.or.an.estate.car_no.answer buying.a.luxury.car_no.answer buying.motor.cycle_no.answer buying.a.wheeler_no.answer buying.scooter_no.answer ticket.velostar.season_no buying.a.bike_no.answer public.transport.healthy_no how.often.do.you.use.the.car_few going.downtown.by.feet_no ticket.fraud_no doing.the.shopping.by.bike_yes when.do.you.walk_week only going.to.work.or.school.by.scooter_no going.on.holidays.by.public.transport_no moto.more.than.20.km_no bike.more.than.20.km_no car.noisy_no moto.2.to.5.km_no motorcycle.not.for.me_no going.on.holidays.by.motorcycle_no motorcycle.dirty_yes public.transport.tiring_no bike.dangerous_no drive.estate.car_no bike.cheap_yes choice.according.to.age.of.the.car_no amator.tuning_no public.transport.too.expensive_no carpool_no global.ecological.emergency_yes public.transport.green_no walking.long_no fruit.and.veg.vegetable.garden_yes doing.the.shopping.by.scooter_no i.do.not.want.a.car_no scooter.0.to.2.km_yes people.using.car.fell.guilty_no fruit.and.veg.supermarket_no scooter.bobo_no car.dirty_no how.often.you.use.the.bike_few times atimes weeka week walking.tiring_yes public.transport.long_no car.polluting_yes day.to.day.environment.friendly.acts_yes walk.5.to.20.km_no motorcycle.long_yes scooter.convenient_yes going.to.leisure.by.scooter_no public.transport.noisy_yes scooter.too.expensive_no bike.green_no walking.green_yes choice.according.to.nb.of.km_yes eat.organic.food_no scooter.more.than.20.km_no fruit.and.veg.market_yes public.transport.cheap_no choice.according.to.category_yes motorcycle.noisy_no car.dangerous_yes bike.not.for.me_no scooter.2.to.5.km_no buying.a.wheeler_yes drive.four.wheeler_yes bike.healthy_yes walk.0.to.2.km_yes you.do.not.have.any.scooter_yes walking.cheap_no scooter.5.to.20.km_no car.0.to.2.km_no travelling.generally.by.bike_yes walk.more.than.20.km_no bike.tiring_yes how.often.do.you.use.the.scooter_never when.do.you.use.the.scooter_never motorcycle.too.expensive_no scooter.dirty_no walking.convenient_yes city.dweller_yes bike.bobo_yes car.more.than.20.km_yes buy.with.a.private.individual_no walk.0.to.2.km_no public.transport.convenient_no public.transport.dirty_yes motorcycle.bobo_yes when.do.you.walk_all week fruit.and.veg.direct.sell_yes motorcycle.polluting_no public.transport.more.than.20.km_no i.cannot.afford.a.car_no doing.the.shopping.by.public.transport_no buying.a.bike_yes choice.according.to.carbon.gas.emissions_yes buy.with.a.car.dealer_yes scooter.noisy_no travelling.generally.by.feet_no regular.sport.practice_yes going.downtown.by.bike_yes brand.important_yes car.convenient_yes walk.2.to.5.km_no politics.green_yes going.on.holidays.by.car_yes scooter.polluting_no eat.in.season.fruit.and.vegetables_no car.too.expensive_no.answer car.convenient_no.answer car.dangerous_no.answer car.not.for.me_no.answer car.polluting_no.answer car.healthy_no.answer car.cheap_no.answer car.green_no.answer car.noisy_no.answer car.bobo_no.answer car.tiring_no.answer car.dirty_no.answer car.long_no.answer sit.on.the.fence_no bike.convenient_yes car.too.expensive_yes scooter.not.for.me_yes motorcycle.dangerous_no when.do.you.use.the.bike_all week walking.bobo_yes public.transport.5.to.20.km_no going.to.work.or.school.by.public.transport_no choice.according.to.fuel.consumption_no supermarket scooter.dangerous_no ●18 you.do.not.have.any.bike_no buy.with.a.private.individual.on.internet_yes pro.carbon.tariffs_no.answer scooter.long_yes car.5.to.20.km_yes going.on.holidays.by.scooter_yes choice.according.to.price_no car.2.to.5.km_yes going.to.leisure.by.foot.1_yes going.to.leisure.by.foot_yes buying.a.luxury.car_yes going.to.work.or.school.by.foot_no going.to.work.or.school.by.bike_yes you.do.not.have.any.car_no car.bobo_yes buying.a.classic.or.an.estate.car_no when.do.you.use.public.transport_weekend politics.socialists_yes car.is.above.all_security scooter.tiring_yes politics.no.preference_yes 19 going.downtown.by.motorcycle_no.answer going.downtown.by.scooter_no.answer public.transport.0.to.2.km_yes use.of.parking.relay.metro_yes going.to.leisure.by.public.transport_no bike.long_yes when.do.you.walk_never doing.the.shopping.by.car_yes drive.commercial.vehicle_yes choice.according.to.brand_yes travelling.generally.by.car_yes ticket.public.transport.season_no public.transport.polluting_yes travelling.generally.by.public.transport_no going.downtown.by.car_yes buying.motor.cycle_yes how.often.do.you.walk_never going.to.leisure.by.car_yes car.tiring_yes no.needs_yes going.downtown.by.public.transport_no going.to.leisure.by.bike_yes choice.according.to.color_yes when.do.you.use.the.car_all week how.often.do.you.use.public.transport_few times a month going.to.work.or.school.by.car_yes bike.0.to.2.km_no public.transport.2.to.5.km_no walk.5.to.20.km_yes walking.not.for.me_yes bike.2.to.5.km_yes how.often.do.you.use.the.car_everyday drive.sports.car_yes how.often.you.use.the.bike_few times a month bike.5.to.20.km_yes politics.modem_yes when.do.you.use.the.bike_weekend how.often.do.you.use.public.transport_never going.on.holidays.by.bike_yes motorcycle.convenient_yes when.do.you.use.public.transport_never drive.saloon.car_yes car.is.above.all_no.answer how.often.do.you.use.the.motorcycle_few timesa aweek month how.often.do.you.walk_few car.green_yes times politics.far.right_yes walking.dangerous_yes motorcycle.tiring_yes moto.0.to.2.km_no buying.scooter_yes you.do.not.have.any.motorcycle_no when.do.you.use.the.motorcycle_weekend moto.5.to.20.km_yes moto.2.to.5.km_yes public.transport.not.for.me_yes going.on.holidays.by.feet_yes moto.more.than.20.km_yes travelling.generally.by.motorcycle_yes

−1

0.0

●

Dim 2 (7.07%)

● ● ● ● ●● ● ● ● ● ● ● ●● ● ●● ●● ● ● ● ● ● ● ● ●● ● ● ● ● ● ● ●● ● ● ● ● ●● ● ● ● ● ● ●● ●● ●● ●● ● ● ● ● ●●● ● ● ● ● ● ● ● ●● ● ● ●●● ● ●●● ● ●●●● ● ● ● ● ●

−0.5

Dim 2 (7.07%)

1

0.5

●

● ●

0

●

●

going.downtown.by.motorcycle_yes going.to.leisure.by.motorcycle.1_yes going.to.leisure.by.motorcycle_yes

●

−2

●

when.do.you.use.the.motorcycle_all week

●

−1.0

going.to.work.or.school.by.motorcycle_yes how.often.do.you.use.the.motorcycle_few times a week

−1

−3

● ●

0

1

−2

2

0

2

4

6

Dim 1 (8.559%)

Dim 1 (8.559%)

Figure 1: Representations of the individuals and of the categories on axes 1 and 2

1.5

Density curbs

1.0

MCA factor map

2 1.8

−3

−1.5

−2

0.2

−1.0

−1

−0.5

2

0

2.2

3

car.cheap_yes walk.more.than.20.km_no.answer how.often.do.you.use.the.motorcycle_no.answer walk.5.to.20.km_no.answer walk.0.to.2.km_no.answer walk.2.to.5.km_no.answer how.often.do.you.use.the.car_never people.using.car.fell.guilty_no.answer day.to.day.environment.friendly.acts_no.answer scooter.cheap_yes amator.tuning_yes how.often.do.you.walk_no.answer when.do.you.use.the.car_never public.transport.more.than.20.km_no.answer public.transport.5.to.20.km_no.answer public.transport.0.to.2.km_no.answer public.transport.2.to.5.km_no.answer when.do.you.use.the.motorcycle_no.answer when.do.you.walk_no.answer you.do.not.have.any.car_yes i.cannot.afford.a.car_yes scooter.2.to.5.km_yes how.often.do.you.use.public.transport_everyday travelling.generally.by.public.transport_yes bike.more.than.20.km_no.answer you.do.not.have.any.bike_yes doing.the.shopping.by.car_no doing.the.shopping.by.public.transport_yes car.is.above.all_a way not to walk going.on.holidays.by.car_no ticket.public.transport.season_yes service station going.to.leisure.by.public.transport_yes motorcycle.too.expensive_no.answer motorcycle.convenient_no.answer motorcycle.dangerous_no.answer walking.too.expensive_no.answer motorcycle.not.for.me_no.answer motorcycle.polluting_no.answer walking.convenient_no.answer walking.dangerous_no.answer motorcycle.healthy_no.answer bike.too.expensive_no.answer walking.not.for.me_no.answer motorcycle.cheap_no.answer motorcycle.green_no.answer motorcycle.noisy_no.answer motorcycle.bobo_no.answer walking.polluting_no.answer motorcycle.tiring_no.answer motorcycle.dirty_no.answer motorcycle.long_no.answer bike.convenient_no.answer bike.dangerous_no.answer walking.healthy_no.answer bike.not.for.me_no.answer walking.cheap_no.answer walking.green_no.answer walking.noisy_no.answer walking.bobo_no.answer bike.polluting_no.answer walking.tiring_no.answer walking.dirty_no.answer walking.long_no.answer bike.healthy_no.answer bike.cheap_no.answer bike.green_no.answer bike.noisy_no.answer bike.bobo_no.answer bike.tiring_no.answer bike.dirty_no.answer bike.long_no.answer 0 global.ecological.emergency_no.answer travelling.generally.by.car_no going.to.leisure.by.car_no sit.on.the.fence_yes public.transport.2.to.5.km_yes car.long_yes scooter.too.expensive_yes how.often.do.you.use.the.car_few times a times montha week car.not.for.me_yes car.0.to.2.km_yes bike.not.for.me_yes when.do.you.use.public.transport_all week how.often.do.you.use.public.transport_few car.convenient_no going.to.work.or.school.by.car_no going.downtown.by.car_no going.downtown.by.public.transport_yes scooter.dirty_yes motorcycle.too.expensive_yes when.do.you.use.the.bike_never how.often.you.use.the.bike_never buy.with.a.car.dealer_no bike.0.to.2.km_yes bike.2.to.5.km_no scooter.polluting_yes bike.healthy_no buying.a.classic.or.an.estate.car_yes scooter.not.for.me_no politics.socialists_no drive.saloon.car_no car.dirty_yes scooter.noisy_yes car.too.expensive_no regular.sport.practice_no scooter.bobo_yes buy.with.a.private.individual_yes bike.5.to.20.km_no how.often.do.you.walk_few times a month car.noisy_yes motorcycle.convenient_no when.do.you.use.public.transport_no.answer day.to.day.environment.friendly.acts_no buying.a.luxury.car_no you.do.not.have.any.motorcycle_yes scooter.dangerous_yes carpool_yes moto.0.to.2.km_yes motorcycle.polluting_yes moto.5.to.20.km_no choice.according.to.brand_no going.to.leisure.by.foot_no brand.important_no you.do.not.have.any.public.transport_yes going.to.leisure.by.motorcycle.1_no going.to.leisure.by.motorcycle_no bike.dangerous_yes choice.according.to.fuel.consumption_yes public.transport.too.expensive_yes public.transport.more.than.20.km_yes when.do.you.use.the.motorcycle_never bike.long_no going.on.holidays.by.public.transport_yes car.2.to.5.km_no choice.according.to.price_yes car.tiring_no how.often.do.you.walk_everyday buying.motor.cycle_no going.to.work.or.school.by.motorcycle_no public.transport.convenient_yes politics.no.preference_no choice.according.to.color_no public.transport.0.to.2.km_no politics.modem_no eat.in.season.fruit.and.vegetables_yes buying.scooter_no motorcycle.tiring_no fruit.and.veg.supermarket_yes people.using.car.fell.guilty_yes buying.a.bike_no politics.far.right_no going.on.holidays.by.bike_no walking.dangerous_no scooter.tiring_no drive.sports.car_no motorcycle.not.for.me_yes scooter.long_no going.downtown.by.scooter_no walking.too.expensive_no motorcycle.healthy_no bike.too.expensive_no motorcycle.cheap_no motorcycle.green_no walking.polluting_no walking.noisy_no bike.polluting_no walking.dirty_no bike.noisy_no car.long_no pro.carbon.tariffs_yes bike.dirty_no car.is.above.all_independance travelling.generally.by.scooter_no going.downtown.by.feet_no ticket.fraud_no doing.the.shopping.by.bike_yes moto.more.than.20.km_no bike.more.than.20.km_no car.noisy_no moto.2.to.5.km_no motorcycle.not.for.me_no going.on.holidays.by.motorcycle_no public.transport.tiring_no bike.dangerous_no drive.estate.car_no amator.tuning_no public.transport.too.expensive_no carpool_noweek doing.the.shopping.by.scooter_no i.do.not.want.a.car_no fruit.and.veg.supermarket_no car.dirty_no public.transport.long_no day.to.day.environment.friendly.acts_yes walk.5.to.20.km_no scooter.convenient_yes going.to.leisure.by.scooter_no scooter.too.expensive_no scooter.more.than.20.km_no public.transport.cheap_no bike.not.for.me_no scooter.2.to.5.km_no bike.healthy_yes walk.0.to.2.km_yes you.do.not.have.any.scooter_yes scooter.5.to.20.km_no car.0.to.2.km_no travelling.generally.by.bike_yes walk.more.than.20.km_no bike.tiring_yes how.often.do.you.use.the.scooter_never when.do.you.use.the.scooter_never motorcycle.too.expensive_no scooter.dirty_no buy.with.a.private.individual_no public.transport.convenient_no when.do.you.walk_all motorcycle.polluting_no i.cannot.afford.a.car_no doing.the.shopping.by.public.transport_no buying.a.bike_yes scooter.noisy_no regular.sport.practice_yes brand.important_yes car.convenient_yes going.on.holidays.by.car_yes scooter.polluting_no eat.in.season.fruit.and.vegetables_no sit.on.the.fence_no bike.convenient_yes car.too.expensive_yes scooter.not.for.me_yes motorcycle.dangerous_no choice.according.to.fuel.consumption_no supermarket scooter.dangerous_no you.do.not.have.any.bike_no ● going.on.holidays.by.scooter_yes choice.according.to.price_no buying.a.luxury.car_yes going.to.work.or.school.by.foot_no you.do.not.have.any.car_no buying.a.classic.or.an.estate.car_no when.do.you.use.public.transport_weekend politics.socialists_yes politics.no.preference_yes going.downtown.by.scooter_no.answer public.transport.0.to.2.km_yes going.to.leisure.by.public.transport_no bike.long_yes doing.the.shopping.by.car_yes choice.according.to.brand_yes travelling.generally.by.car_yes ticket.public.transport.season_no public.transport.polluting_yes travelling.generally.by.public.transport_no going.downtown.by.car_yes buying.motor.cycle_yes going.to.leisure.by.car_yes car.tiring_yes going.downtown.by.public.transport_no choice.according.to.color_yes when.do.you.use.the.car_all week how.often.do.you.use.public.transport_few times a month going.to.work.or.school.by.car_yes bike.0.to.2.km_no public.transport.2.to.5.km_no bike.2.to.5.km_yes how.often.do.you.use.the.car_everyday how.often.you.use.the.bike_few times a month bike.5.to.20.km_yes politics.modem_yes when.do.you.use.the.bike_weekend how.often.do.you.use.public.transport_never motorcycle.convenient_yes when.do.you.use.public.transport_never drive.saloon.car_yes how.often.do.you.walk_few times a week politics.far.right_yes walking.dangerous_yes motorcycle.tiring_yes moto.0.to.2.km_no buying.scooter_yes you.do.not.have.any.motorcycle_no moto.5.to.20.km_yes public.transport.not.for.me_yes travelling.generally.by.motorcycle_yes going.downtown.by.motorcycle_yes going.to.leisure.by.motorcycle.1_yes going.to.leisure.by.motorcycle_yes when.do.you.use.the.motorcycle_all week going.to.work.or.school.by.motorcycle_yes how.often.do.you.use.the.motorcycle_few times a week 1

1.4

0.4

1.6

Dim 2 (7.07%)

0.

6

0.8

0.2

0.0

1

1.2

Dim 2 ( 7.07 %)

0.5

3

you.do.not.have.any.scooter_no.answer scooter.more.than.20.km_no.answer scooter.5.to.20.km_no.answer scooter.2.to.5.km_no.answer moto.more.than.20.km_no.answer moto.2.to.5.km_no.answer when.do.you.use.the.scooter_no.answer how.often.do.you.use.the.scooter_no.answer

doing.the.shopping.by.scooter_yes going.to.leisure.by.scooter_yes

−1

0

1

2

3

−2

Dim 1 ( 8.559 %)

0

2

4

6

Dim 1 (8.559%)

Figure 2: Representation of the individuals using density curbs and enhanced representation of the categories

6

2.2 2.2.1

Highlights on the two principal axes of variability Characterization of the first factorial axis

The most meaningful variables characterizing the first factorial axis are: •

you.do.not.have.any.motorcycle

•

moto.0.to.2.km

•

moto.2.to.5.km

•

moto.more.than.20.km

•

moto.5.to.20.km

•

scooter.0.to.2.km

•

scooter.5.to.20.km

•

scooter.2.to.5.km

•

scooter.more.than.20.km

•

you.do.not.have.any.scooter

•

walk.more.than.20.km

•

walk.2.to.5.km

•

walk.5.to.20.km

•

walk.0.to.2.km

•

when.do.you.use.the.scooter

•

public.transport.2.to.5.km

•

bike.more.than.20.km

•

public.transport.more.than.20.km

•

public.transport.5.to.20.km

•

public.transport.0.to.2.km

•

bike.2.to.5.km

•

bike.0.to.2.km

•

bike.5.to.20.km

•

how.often.do.you.use.the.scooter

•

how.often.do.you.use.the.car

•

you.do.not.have.any.bike

•

when.do.you.walk

•

when.do.you.use.the.motorcycle

•

how.often.do.you.walk

•

how.often.do.you.use.the.motorcycle

•

when.do.you.use.the.bike

•

going.to.work.or.school.by.car 7

•

car.2.to.5.km

•

car.0.to.2.km

•

car.more.than.20.km

•

car.5.to.20.km

•

travelling.generally.by.car

•

when.do.you.use.public.transport

•

when.do.you.use.the.car

•

how.often.you.use.the.bike

•

travelling.generally.by.public.transport

•

you.do.not.have.any.car

•

going.on.holidays.by.public.transport

•

buy.with.a.private.individual

•

doing.the.shopping.by.car

•

going.downtown.by.car

The most meaningful categories characterizing the positive side of the first axis are: •

moto.0.to.2.km_no.answer – Contribution: 3.96 – V-Test: 8.68 – Frequency in the population: 2.68 %

•

scooter.0.to.2.km_no.answer – Contribution: 3.92 – V-Test: 8.59 – Frequency in the population: 1.79 %

•

moto.5.to.20.km_no.answer – Contribution: 3.96 – V-Test: 8.68 – Frequency in the population: 2.68 %

•

you.do.not.have.any.scooter_no.answer – Contribution: 3.92 – V-Test: 8.59 – Frequency in the population: 1.79 %

•

scooter.5.to.20.km_no.answer – Contribution: 3.92 – V-Test: 8.59 – Frequency in the population: 1.79 %

•

you.do.not.have.any.motorcycle_no.answer – Contribution: 3.92 8

– V-Test: 8.59 – Frequency in the population: 1.79 % •

moto.2.to.5.km_no.answer – Contribution: 3.96 – V-Test: 8.68 – Frequency in the population: 2.68 %

•

moto.more.than.20.km_no.answer – Contribution: 3.96 – V-Test: 8.68 – Frequency in the population: 2.68 %

•

scooter.2.to.5.km_no.answer – Contribution: 3.92 – V-Test: 8.59 – Frequency in the population: 1.79 %

•

walk.2.to.5.km_no.answer – Contribution: 3.44 – V-Test: 8.2 – Frequency in the population: 5.36 %

The most meaningful categories characterizing the negative side of the first axis are: •

moto.5.to.20.km_no – Contribution: 0.1 – V-Test: -4.36 – Frequency in the population: 90.18 %

•

scooter.0.to.2.km_no – Contribution: 0.09 – V-Test: -1.33 – Frequency in the population: 6.25 %

•

moto.more.than.20.km_no – Contribution: 0.11 – V-Test: -5.64 – Frequency in the population: 93.75 %

•

walk.2.to.5.km_no – Contribution: 0.16 – V-Test: -2.69 – Frequency in the population: 59.82 %

•

moto.0.to.2.km_no – Contribution: 0.02 – V-Test: -0.72 – Frequency in the population: 10.71 % 9

•

moto.2.to.5.km_no – Contribution: 0.1 – V-Test: -5.41 – Frequency in the population: 93.75 %

•

you.do.not.have.any.motorcycle_yes – Contribution: 0.12 – V-Test: -4.5 – Frequency in the population: 89.29 %

•

scooter.5.to.20.km_no – Contribution: 0.05 – V-Test: -4.67 – Frequency in the population: 95.54 %

•

you.do.not.have.any.scooter_no – Contribution: 0.04 – V-Test: -0.89 – Frequency in the population: 4.46 %

•

you.do.not.have.any.motorcycle_no – Contribution: 0.04 – V-Test: 0.89 – Frequency in the population: 8.93 %

2.2.2

Characterization on the second factorial axis

The most meaningful variables characterizing the second factorial axis are: •

travelling.generally.by.public.transport

•

going.to.leisure.by.car

•

doing.the.shopping.by.car

•

when.do.you.use.the.car

•

how.often.do.you.use.public.transport

•

how.often.do.you.use.the.car

•

public.transport.2.to.5.km

•

ticket.public.transport.season

•

going.to.leisure.by.public.transport

•

going.to.work.or.school.by.car

•

you.do.not.have.any.car

•

travelling.generally.by.car

•

going.downtown.by.car

•

you.do.not.have.any.bike

•

i.cannot.afford.a.car 10

•

doing.the.shopping.by.public.transport

•

when.do.you.use.public.transport

•

going.on.holidays.by.car

•

going.downtown.by.public.transport

•

driving.licence

•

drive.saloon.car

•

bike.0.to.2.km

•

how.often.you.use.the.bike

•

buying.gasoline

•

i.do.not.want.a.car

•

how.often.do.you.use.the.motorcycle

•

moto.5.to.20.km

•

how.often.do.you.use.the.scooter

•

going.to.leisure.by.motorcycle

•

going.to.leisure.by.motorcycle.1

•

how.often.do.you.walk

•

moto.0.to.2.km

•

moto.more.than.20.km

•

drive.estate.car

•

when.do.you.use.the.bike

•

moto.2.to.5.km

•

car.0.to.2.km

•

going.on.holidays.by.motorcycle

•

going.to.work.or.school.by.foot

•

going.to.work.or.school.by.public.transport

•

drive.sports.car

•

city.dweller

•

drive.commercial.vehicle

•

going.to.leisure.by.scooter

•

drive.four.wheeler

•

car.more.than.20.km

•

bike.2.to.5.km

•

when.do.you.use.the.scooter

•

going.to.leisure.by.bike

•

car.5.to.20.km

•

when.do.you.use.the.motorcycle 11

•

doing.the.shopping.by.scooter

•

buy.with.a.car.dealer

•

car.2.to.5.km

•

bike.5.to.20.km

•

going.to.work.or.school.by.motorcycle

•

going.downtown.by.motorcycle

•

travelling.generally.by.feet

•

going.to.leisure.by.foot

•

going.to.leisure.by.foot.1

•

use.of.parking.relay.metro

•

buy.with.a.private.individual

•

going.to.work.or.school.by.scooter

•

you.do.not.have.any.motorcycle

•

scooter.5.to.20.km

•

scooter.0.to.2.km

The most meaningful categories characterizing the positive side of the second axis are: •

travelling.generally.by.public.transport_yes – Contribution: 2.95 – V-Test: 7.15 – Frequency in the population: 27.68 %

•

doing.the.shopping.by.car_no – Contribution: 1.96 – V-Test: 5.86 – Frequency in the population: 28.57 %

•

ticket.public.transport.season_yes – Contribution: 1.56 – V-Test: 5.4 – Frequency in the population: 33.04 %

•

going.to.work.or.school.by.car_no – Contribution: 0.99 – V-Test: 5.26 – Frequency in the population: 55.36 %

•

you.do.not.have.any.car_yes – Contribution: 1.68 – V-Test: 5.12 – Frequency in the population: 19.64 %

12

•

travelling.generally.by.car_no – Contribution: 1.31 – V-Test: 5.09 – Frequency in the population: 36.61 %

•

doing.the.shopping.by.public.transport_yes – Contribution: 1.61 – V-Test: 4.83 – Frequency in the population: 13.39 %

•

when.do.you.use.public.transport_all week – Contribution: 1.14 – V-Test: 4.86 – Frequency in the population: 39.29 %

•

going.on.holidays.by.car_no – Contribution: 1.15 – V-Test: 4.14 – Frequency in the population: 16.07 %

•

how.often.do.you.use.public.transport_everyday – Contribution: 1.32 – V-Test: 4.4 – Frequency in the population: 14.29 %

The most meaningful categories characterizing the negative side of the second axis are: •

travelling.generally.by.public.transport_no – Contribution: 1.13 – V-Test: -7.15 – Frequency in the population: 72.32 %

•

doing.the.shopping.by.car_yes – Contribution: 0.78 – V-Test: -5.86 – Frequency in the population: 71.43 %

•

ticket.public.transport.season_no – Contribution: 0.77 – V-Test: -5.4 – Frequency in the population: 66.96 %

•

going.to.work.or.school.by.car_yes – Contribution: 1.22 – V-Test: -5.26 – Frequency in the population: 44.64 %

•

you.do.not.have.any.car_no 13

– Contribution: 0.41 – V-Test: -5.12 – Frequency in the population: 80.36 % •

travelling.generally.by.car_yes – Contribution: 0.76 – V-Test: -5.09 – Frequency in the population: 63.39 %

•

doing.the.shopping.by.public.transport_no – Contribution: 0.25 – V-Test: -4.83 – Frequency in the population: 86.61 %

•

i.cannot.afford.a.car_no – Contribution: 0.2 – V-Test: -4.59 – Frequency in the population: 88.39 %

•

how.often.do.you.use.the.car_everyday – Contribution: 1.4 – V-Test: -5.15 – Frequency in the population: 33.93 %

•

when.do.you.use.the.car_all week – Contribution: 0.97 – V-Test: -4.73 – Frequency in the population: 45.54 %

14

3

Typology on the individuals

3.1

Choice of the number of clusters

The ascendant hierarchical clustering (AHC) lead to a partition made of 3 clusters. Those clusters are displayed in the following representations: a graphical representation of the individuals according to the cluster they belong to, a representation of the center of gravity of each group enhanced by a confidence ellipse, a representation of the individuals according to the cluster they belong to by the use of density curbs.

8

Choice of the number of clusters by cutting the dendrogram

1.0

6

MCA factor map 1 2 3

12

98 ●

36 ●

0.5

4

Height

●

20

11

●

●

21 22 ● ● 19 62 60 61 94 ●77 ● 76 ● ● 102 ● 44●31 ●55 56 6● 42 ● ●48 30 ● 132●●● 27 78 ● 7990 ●● ●● 5946 ● 86 39 ● ● 74 ● 47 ● ● 73 64 65 ● 69 52 3343 ●● 57 63 41 ● 29 84 ● ● ● ●34 87 112 ● ●● ●37 ● 54 ● 111 16 ● 67 ● 51 28● 58 ●45 ● 10 ● ● 68 88 8250 371 ●5 ● 95 ● ●4 ●103 ● 38 66 81 ● 2●●93 ● ● ●● ●108 ● ● 7 110 100 17 72 ●26 ● ● 89 ● 35 ●40 ● 23 18 80 8 ●24 ●105 15 85●106 109 91 ● 13 96 ● ● 53 ●● ●●● ●

70 ●

9

25 ●

0.0

75

14 ●

●

97 ●

● ●●● ●● ● ●

●

49

−0.5

2

Dim 2 (7.07%)

●

●

83 107 ● ● 92 ●

0

101

104 99 ●

−1.0

44 60 77 42 48 78 102 79 55 56 64 74 90 43 87 84 88 3 34 45 58 4 5 57 67 6 86 73 33 39 30 46 28 47 100 23 54 69 80 81 89 109 108 110 10 71 16 85 15 91 17 95 18 105 13 83 82 65 59 112 1 63 107 2 53 96 7 38 106 24 93 35 40 66 111 37 103 8 68 51 41 29 50 12 98 97 75 14 25 70 104 99 101 11 72 32 92 26 49 27 76 94 20 61 62 22 19 21 9 36 31 52

●

●

−1

dist hclust (*, "ward")

0

1

2

Dim 1 (8.559%)

Figure 3: Number of clusters chosen by the analyst; representation of the individuals according to their cluster

15

1.5

Density curbs

1 2 3

1.0

0.3

0.3

5

5

0.6

1.1 1

0.6 0.5

0.5

0.3

0.0

0.1 .5 33

Dim 2 ( 7.07 %)

5

0.4

0.

45

55

0.

5 2. 0.2

0.

25

−0.5

Dim 2 (7.07%)

0.7

5

0.0

0.7

1.5

2

0.1

0.0

2

1.

0.4

● ●

65

0.

15 0.

classe 2

5

0.3

0.9

0.5

0.5

0. 8

0.2

●

classe 3

0.7

●

1 0.

0.3

1.0

Confidence ellipses for the mean points

classe 1

−1.5

−0.5

−1.0

0.5

0.0

0.5

1.0

1.5

−1

0

1

Dim 1 (8.559%)

2

3

Dim 1 ( 8.559 %)

Figure 4: Centers of gravity with confidence ellipses; representation of the individuals according to their cluster with density curbs

number of individuals by groups 80

60

40

20

0 group 1

group 2

group 3

Figure 5: Number of individuals per cluster

16

3.2 3.2.1

Simultaneous comparison of the clusters with respect with the most relevant variables Number of individuals by cluster for the variable walk.more.than.20.km

walk.more.than.20.km by cluster

1st bar: walk.more.than.20.km_no 2nd bar: walk.more.than.20.km_no.answer 80

60

40

20

0 group 1

group 2

Figure 6: Variable walk.more.than.20.km

17

group 3

3.2.2

Number of individuals by cluster for the variable walk.2.to.5.km

walk.2.to.5.km by cluster

1st bar: walk.2.to.5.km_no 2nd bar: walk.2.to.5.km_no.answer 3rd bar: walk.2.to.5.km_yes

70

60

50

40

30

20

10

0 group 1

group 2

Figure 7: Variable walk.2.to.5.km

18

group 3

3.2.3

Number of individuals by cluster for the variable walk.0.to.2.km

walk.0.to.2.km by cluster 80

1st bar: walk.0.to.2.km_no 2nd bar: walk.0.to.2.km_no.answer 3rd bar: walk.0.to.2.km_yes

60

40

20

0 group 1

group 2

Figure 8: Variable walk.0.to.2.km

19

group 3

3.2.4

Number of individuals by cluster for the variable walk.5.to.20.km

walk.5.to.20.km by cluster

1st bar: walk.5.to.20.km_no 2nd bar: walk.5.to.20.km_no.answer 3rd bar: walk.5.to.20.km_yes 80

60

40

20

0 group 1

group 2

Figure 9: Variable walk.5.to.20.km

20

group 3

3.2.5

Number of individuals by cluster for the variable public.transport.more.than.20.km

public.transport.more.than.20.km by cluster

1st bar: public.transport.more.than.20.km_no 2nd bar: public.transport.more.than.20.km_no.answer 3rd bar: public.transport.more.than.20.km_yes

80

60

40

20

0 group 1

group 2

group 3

Figure 10: Variable public.transport.more.than.20.km

21

3.2.6

Number of individuals by cluster for the variable public.transport.5.to.20.km

public.transport.5.to.20.km by cluster 80 1st bar: public.transport.5.to.20.km_no 2nd bar: public.transport.5.to.20.km_no.answer 3rd bar: public.transport.5.to.20.km_yes

60

40

20

0 group 1

group 2

group 3

Figure 11: Variable public.transport.5.to.20.km

22

3.2.7

Number of individuals by cluster for the variable public.transport.2.to.5.km

public.transport.2.to.5.km by cluster 70 1st bar: public.transport.2.to.5.km_no 2nd bar: public.transport.2.to.5.km_no.answer 3rd bar: public.transport.2.to.5.km_yes

60

50

40

30

20

10

0 group 1

group 2

group 3

Figure 12: Variable public.transport.2.to.5.km

23

3.2.8

Number of individuals by cluster for the variable public.transport.0.to.2.km

public.transport.0.to.2.km by cluster

1st bar: public.transport.0.to.2.km_no 2nd bar: public.transport.0.to.2.km_no.answer 3rd bar: public.transport.0.to.2.km_yes

70

60

50

40

30

20

10

0 group 1

group 2

group 3

Figure 13: Variable public.transport.0.to.2.km

24

3.2.9

Number of individuals by cluster for the variable scooter.5.to.20.km

scooter.5.to.20.km by cluster 100

1st bar: scooter.5.to.20.km_no 2nd bar: scooter.5.to.20.km_no.answer 3rd bar: scooter.5.to.20.km_yes

80

60

40

20

0 group 1

group 2

Figure 14: Variable scooter.5.to.20.km

25

group 3

3.2.10

Number of individuals by cluster for the variable moto.5.to.20.km

moto.5.to.20.km by cluster

1st bar: moto.5.to.20.km_no 2nd bar: moto.5.to.20.km_yes 80

60

40

20

0 group 1

group 2

Figure 15: Variable moto.5.to.20.km

26

group 3

3.3

Automatic description of each cluster

The cluster 1 (83 individuals) includes the individuals possessing the following categories: • how.often.do.you.use.the.motorcycle=how.often.do.you.use.the.motorcycle_never 91.07 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 81.37 % of the individuals possessing this category belong to the cluster 1 . •

when.do.you.use.the.motorcycle=when.do.you.use.the.motorcycle_never 91.07 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 81.37 % of the individuals possessing this category belong to the cluster 1 .

•

moto.5.to.20.km=moto.5.to.20.km_no 92.86 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 79.81 % of the individuals possessing this category belong to the cluster 1 .

•

public.transport.more.than.20.km=public.transport.more.than.20.km_no 71.43 % of the individuals possess this category in the global population versus 83.13 % in the cluster 1 . Moreover, 86.25 % of the individuals possessing this category belong to the cluster 1 .

•

moto.more.than.20.km=moto.more.than.20.km_no 93.75 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 79.05 % of the individuals possessing this category belong to the cluster 1 .

•

walk.more.than.20.km=walk.more.than.20.km_no 94.64 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 78.3 % of the individuals possessing this category belong to the cluster 1 .

•

how.often.do.you.use.the.scooter=how.often.do.you.use.the.scooter_never 94.64 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 78.3 % of the individuals possessing this category belong to the cluster 1 .

•

when.do.you.use.the.scooter=when.do.you.use.the.scooter_never 94.64 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 78.3 % of the individuals possessing this category belong to the cluster 1 .

•

going.to.leisure.by.motorcycle.1=going.to.leisure.by.motorcycle.1_no 94.64 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 78.3 % of the individuals possessing this category belong to the cluster 1 .

•

going.to.leisure.by.motorcycle=going.to.leisure.by.motorcycle_no 94.64 % of the individuals possess this category in the global population versus 100 % in the cluster 1 . Moreover, 78.3 % of the individuals possessing this category belong to the cluster 1 . 27

The cluster 2 (22 individuals) includes the individuals possessing the following categories: •

moto.5.to.20.km=moto.5.to.20.km_yes 7.14 % of the individuals possess this category in the global population versus 36.36 % in the cluster 2 . Moreover, 100 % of the individuals possessing this category belong to the cluster 2 .

•

you.do.not.have.any.motorcycle=you.do.not.have.any.motorcycle_no 8.93 % of the individuals possess this category in the global population versus 36.36 % in the cluster 2 . Moreover, 80 % of the individuals possessing this category belong to the cluster 2 .

•

how.often.do.you.use.the.car=how.often.do.you.use.the.car_never 7.14 % of the individuals possess this category in the global population versus 31.82 % in the cluster 2 . Moreover, 87.5 % of the individuals possessing this category belong to the cluster 2 .

•

when.do.you.use.the.car=when.do.you.use.the.car_never 9.82 % of the individuals possess this category in the global population versus 36.36 % in the cluster 2 . Moreover, 72.73 % of the individuals possessing this category belong to the cluster 2 .

•

going.to.leisure.by.motorcycle.1=going.to.leisure.by.motorcycle.1_yes 4.46 % of the individuals possess this category in the global population versus 22.73 % in the cluster 2 . Moreover, 100 % of the individuals possessing this category belong to the cluster 2 .

•

going.to.leisure.by.motorcycle=going.to.leisure.by.motorcycle_yes 4.46 % of the individuals possess this category in the global population versus 22.73 % in the cluster 2 . Moreover, 100 % of the individuals possessing this category belong to the cluster 2 .

•

moto.0.to.2.km=moto.0.to.2.km_no 10.71 % of the individuals possess this category in the global population versus 36.36 % in the cluster 2 . Moreover, 66.67 % of the individuals possessing this category belong to the cluster 2 .

•

buying.motor.cycle=buying.motor.cycle_yes 11.61 % of the individuals possess this category in the global population versus 36.36 % in the cluster 2 . Moreover, 61.54 % of the individuals possessing this category belong to the cluster 2 .

•

moto.more.than.20.km=moto.more.than.20.km_yes 3.57 % of the individuals possess this category in the global population versus 18.18 % in the cluster 2 . Moreover, 100 % of the individuals possessing this category belong to the cluster 2 .

• how.often.do.you.use.the.motorcycle=how.often.do.you.use.the.motorcycle_few times a month 3.57 % of the individuals possess this category in the global population versus 18.18 % in the cluster 2 . Moreover, 100 % of the individuals possessing this category belong to the cluster 2 . The cluster 3 (7 individuals) includes the individuals possessing the following categories: 28

•

walk.more.than.20.km=walk.more.than.20.km_no.answer 5.36 % of the individuals possess this category in the global population versus 85.71 % in the cluster 3 . Moreover, 100 % of the individuals possessing this category belong to the cluster 3 .

•

walk.5.to.20.km=walk.5.to.20.km_no.answer 5.36 % of the individuals possess this category in the global population versus 85.71 % in the cluster 3 . Moreover, 100 % of the individuals possessing this category belong to the cluster 3 .

•

walk.2.to.5.km=walk.2.to.5.km_no.answer 5.36 % of the individuals possess this category in the global population versus 85.71 % in the cluster 3 . Moreover, 100 % of the individuals possessing this category belong to the cluster 3 .

•

walk.0.to.2.km=walk.0.to.2.km_no.answer 5.36 % of the individuals possess this category in the global population versus 85.71 % in the cluster 3 . Moreover, 100 % of the individuals possessing this category belong to the cluster 3 .

•

public.transport.more.than.20.km=public.transport.more.than.20.km_no.answer 5.36 % of the individuals possess this category in the global population versus 71.43 % in the cluster 3 . Moreover, 83.33 % of the individuals possessing this category belong to the cluster 3 .

•

public.transport.5.to.20.km=public.transport.5.to.20.km_no.answer 5.36 % of the individuals possess this category in the global population versus 71.43 % in the cluster 3 . Moreover, 83.33 % of the individuals possessing this category belong to the cluster 3 .

•

public.transport.2.to.5.km=public.transport.2.to.5.km_no.answer 5.36 % of the individuals possess this category in the global population versus 71.43 % in the cluster 3 . Moreover, 83.33 % of the individuals possessing this category belong to the cluster 3 .

•

public.transport.0.to.2.km=public.transport.0.to.2.km_no.answer 5.36 % of the individuals possess this category in the global population versus 71.43 % in the cluster 3 . Moreover, 83.33 % of the individuals possessing this category belong to the cluster 3 .

•

when.do.you.walk=when.do.you.walk_no.answer 10.71 % of the individuals possess this category in the global population versus 71.43 % in the cluster 3 . Moreover, 41.67 % of the individuals possessing this category belong to the cluster 3 .

•

how.often.do.you.walk=how.often.do.you.walk_no.answer 9.82 % of the individuals possess this category in the global population versus 57.14 % in the cluster 3 . Moreover, 36.36 % of the individuals possessing this category belong to the cluster 3 .

29