This report was generated by the EnQuireR package

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1 This report was generated by the package Cadoret M., Fournier O., Fournier G., Le Poder F., Bouche J., Lê S. July 28, 2010

2 : Multivariate Exploratory Analysis of Questionnaires Multivariate exploration of the questionnaire How is my dataset structured? How does my dataset look like? How can the main axes of variability be interpreted? How many groups are there in my dataset? How can the groups be displayed? How different are the groups? How can the groups be described?

3 : Multivariate Exploratory Analysis of Questionnaires Multivariate exploration of the questionnaire How is my dataset structured? How does my dataset look like? How can the main axes of variability be interpreted? How many groups are there in my dataset? How can the groups be displayed? How different are the groups? How can the groups be described?

4 How is my dataset structured? Percentages of variance explained by the first five axes Axis Eigenvalue Percentage of variance % % % % % Table: Eigenvalues associated with the first five axes

5 How does my dataset look like? Representation of the individuals MCA factor map Dim 1 (8.559%) Dim 2 (7.07%) Figure: Raw representation of the individuals on axes 1 and 2

6 Multivariate exploration of the questionnaire How does my dataset look like? Representation of the categories MCA factor map Dim 2 (7.07%) 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 when.do.you.use.the.scooter_no.answer moto.more.than.20.km_no.answer moto.2.to.5.km_no.answer how.often.do.you.use.the.scooter_no.answer going.to.work.or.school.by.scooter_yes doing.the.shopping.by.scooter_yes going.to.leisure.by.scooter_yes travelling.generally.by.scooter_yes going.on.holidays.by.motorcycle_yes car.cheap_yes how.often.do.you.use.the.motorcycle_no.answer how.often.do.you.use.the.car_never 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 when.do.you.use.the.car_never scooter.cheap_yes i.do.not.want.a.car_yes amator.tuning_yes day.to.day.environment.friendly.acts_no.answer people.using.car.fell.guilty_no.answer how.often.do.you.walk_no.answer how.often.do.you.use.the.scooter_everyday going.to.leisure.by.motorcycle.1_no.answer going.to.leisure.by.motorcycle_no.answer when.do.you.use.the.scooter_all going.to.leisure.by.scooter_no.answer week 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_few scooter.more.than.20.km_yes when.do.you.use.the.scooter_weekend you.do.not.have.any.car_yes when.do.you.use.the.motorcycle_no.answer travelling.generally.by.public.transport_yes eat.organic.food_no.answer scooter.5.to.20.km_yes scooter.2.to.5.km_yes how.often.do.you.use.public.transport_everyday i.cannot.afford.a.car_yes times when.do.you.walk_no.answer a month doing.the.shopping.by.public.transport_yes doing.the.shopping.by.car_no going.on.holidays.by.car_no you.do.not.have.any.bike_yes bike.more.than.20.km_no.answer car.is.above.all_a going.to.leisure.by.public.transport_yes i.do.not.want.a.car_no.answer drive.four.wheeler_no.answer travelling.generally.by.car_no scooter.0.to.2.km_no drive.sports.car_no.answer ticket.public.transport.season_yes way service to station walk going.to.leisure.by.car_no 0 bike.too.expensive_no.answer bike.convenient_no.answer bike.dangerous_no.answer bike.not.for.me_no.answer bike.polluting_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 how.often.do.you.use.the.car_few you.do.not.have.any.scooter_no going.to.work.or.school.by.public.transport_yes public.transport.2.to.5.km_yes when.do.you.use.public.transport_all scooter.too.expensive_yes car.long_yes global.ecological.emergency_no.answer motorcycle.too.expensive_no.answer how.often.do.you.use.public.transport_few car.not.for.me_yes going.to.work.or.school.by.car_no going.downtown.by.public.transport_yes going.downtown.by.car_no car.0.to.2.km_yes sit.on.the.fence_yes 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 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 walking.healthy_no.answer walking.cheap_no.answer walking.green_no.answer walking.noisy_no.answer walking.bobo_no.answer walking.tiring_no.answer walking.dirty_no.answer walking.long_no.answer car.convenient_no 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 bike.not.for.me_yes 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 times a month week times a week when.do.you.use.the.car_weekend going.to.work.or.school.by.foot_yes motorcycle.too.expensive_yes travelling.generally.by.feet_yes buy.with.a.car.dealer_no how.often.you.use.the.bike_never buy.at.auction_yes public.transport.healthy_yes when.do.you.use.the.bike_never scooter.dirty_yes ticket.velostar.season_yes car.more.than.20.km_no bike.0.to.2.km_yes going.to.leisure.by.bike_no going.on.holidays.by.public.transport_yes going.downtown.by.scooter_yes how.often.do.you.use.the.motorcycle_never going.to.work.or.school.by.motorcycle_no when.do.you.use.the.motorcycle_never you.do.not.have.any.motorcycle_yes car.5.to.20.km_no bike.2.to.5.km_no day.to.day.environment.friendly.acts_no buy.with.a.private.individual_yes going.to.leisure.by.motorcycle.1_no going.to.leisure.by.motorcycle_no going.to.work.or.school.by.scooter_no travelling.generally.by.motorcycle_no going.to.work.or.school.by.bike_no going.to.leisure.by.foot.1_no going.to.leisure.by.foot_no going.on.holidays.by.public.transport_no going.on.holidays.by.motorcycle_no doing.the.shopping.by.bike_yes going.downtown.by.motorcycle_no doing.the.shopping.by.bike_no going.to.leisure.by.scooter_no going.to.work.or.school.by.bike_yes going.to.work.or.school.by.public.transport_no doing.the.shopping.by.public.transport_no doing.the.shopping.by.scooter_no going.on.holidays.by.scooter_no going.on.holidays.by.bike_no travelling.generally.by.bike_no going.on.holidays.by.feet_no travelling.generally.by.bike_yes you.do.not.have.any.public.transport_no when.do.you.use.public.transport_week travelling.generally.by.scooter_no going.downtown.by.feet_yes you.do.not.have.any.public.transport_yes bike.5.to.20.km_no how.often.do.you.walk_few when.do.you.use.public.transport_no.answer times a month how.often.do.you.use.the.car_few how.often.do.you.walk_everyday public.transport.5.to.20.km_yes public.transport.more.than.20.km_yes going.downtown.by.scooter_no going.downtown.by.bike_no going.downtown.by.feet_no only how.often.you.use.the.bike_few public.transport.0.to.2.km_no use.of.parking.relay.metro_no car.dirty_yes drive.saloon.car_no buy.with.a.private.individual.on.internet_no moto.5.to.20.km_no moto.0.to.2.km_yes when.do.you.use.the.bike_all going.downtown.by.bike_yes how.often.do.you.use.the.scooter_never when.do.you.use.the.scooter_never you.do.not.have.any.scooter_yes when.do.you.walk_week car.2.to.5.km_no city.dweller_no bike.more.than.20.km_no only times a week public.transport.more.than.20.km_no when.do.you.walk_all scooter.more.than.20.km_no moto.more.than.20.km_no drive.commercial.vehicle_no going.on.holidays.by.scooter_yes going.to.leisure.by.public.transport_no going.on.holidays.by.car_yes travelling.generally.by.feet_no walk.5.to.20.km_no car.more.than.20.km_yes scooter.2.to.5.km_no scooter.0.to.2.km_yes car.0.to.2.km_no times week a week public.transport.5.to.20.km_no walk.more.than.20.km_no walk.0.to.2.km_yes walk.2.to.5.km_yes buy.with.a.private.individual_no scooter.5.to.20.km_no drive.four.wheeler_yes drive.estate.car_no walk.0.to.2.km_no moto.2.to.5.km_no drive.four.wheeler_no i.do.not.want.a.car_no drive.sports.car_no buy.at.auction_no drive.estate.car_yes ticket.fraud_yes car.noisy_yes car.too.expensive_no bike.healthy_no public.transport.too.expensive_yes choice.according.to.age.of.the.car_yes buying.a.classic.or.an.estate.car_yes public.transport.cheap_yes scooter.polluting_yes ticket.velostar.season_no car.cheap_no car.green_no car.bobo_no car.tiring_no car.polluting_no public.transport.convenient_yes public.transport.bobo_yes car.dangerous_no car.long_no buy.with.a.private.individual.on.internet_yes going.to.leisure.by.foot.1_yes going.to.work.or.school.by.foot_no going.to.leisure.by.foot_yes you.do.not.have.any.bike_no walk.2.to.5.km_no i.cannot.afford.a.car_no buy.with.a.car.dealer_yes city.dweller_yes ticket.fraud_no car.noisy_no car.dirty_no car.too.expensive_no.answer car.convenient_no.answer car.dangerous_no.answer car.cheap_no.answer car.green_no.answer car.noisy_no.answer car.bobo_no.answer car.tiring_no.answer car.too.expensive_yes car.dirty_no.answer car.long_no.answer car.dangerous_yes bike.convenient_no car.polluting_yes bike.green_yes car.not.for.me_no car.healthy_no bike.noisy_no bike.dirty_no bike.bobo_no bike.long_no bike.dirty_yes public.transport.green_yes bike.too.expensive_no bike.cheap_no bike.dangerous_yes public.transport.long_no public.transport.bobo_no public.transport.green_no bike.dangerous_no public.transport.long_yes public.transport.tiring_yes public.transport.too.expensive_no public.transport.dangerous_no public.transport.not.for.me_no motorcycle.polluting_yes scooter.green_yes choice.according.to.brand_no motorcycle.convenient_no public.transport.polluting_no scooter.healthy_yes scooter.bobo_yes scooter.dangerous_yes politics.socialists_no scooter.noisy_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 public.transport.noisy_yes public.transport.healthy_no public.transport.noisy_no motorcycle.dangerous_yes scooter.convenient_yes public.transport.dirty_no bike.cheap_yes bike.tiring_no car.not.for.me_no.answer car.polluting_no.answer car.healthy_no.answer bike.bobo_yes travelling.generally.by.public.transport_no doing.the.shopping.by.car_yes you.do.not.have.any.car_no week when.do.you.use.public.transport_weekend public.transport.0.to.2.km_yes car.2.to.5.km_yes car.5.to.20.km_yes car.convenient_yes bike.green_no bike.convenient_yes bike.tiring_yes bike.not.for.me_no bike.polluting_no public.transport.dirty_yes public.transport.tiring_no public.transport.convenient_no public.transport.cheap_no scooter.too.expensive_no scooter.convenient_no motorcycle.green_no motorcycle.noisy_yes walking.green_no choice.according.to.carbon.gas.emissions_no choice.according.to.fuel.consumption_yes eat.in.season.fruit.and.vegetables_yes choice.according.to.power_yes choice.according.to.category_no choice.according.to.nb.of.km_no choice.according.to.price_yes motorcycle.long_yes motorcycle.not.for.me_yes choice.according.to.color_no politics.ump_yes motorcycle.bobo_no scooter.healthy_no scooter.cheap_no scooter.green_no scooter.tiring_no bike.healthy_yes scooter.long_no scooter.noisy_no scooter.bobo_no scooter.not.for.me_yes motorcycle.bobo_yes motorcycle.noisy_no motorcycle.long_no motorcycle.dirty_no motorcycle.too.expensive_no walking.too.expensive_no motorcycle.dirty_yes walking.convenient_no motorcycle.healthy_no motorcycle.cheap_no motorcycle.tiring_no walking.cheap_yes motorcycle.not.for.me_no walking.long_yes brand.important_no choice.according.to.age.of.the.car_no walking.dangerous_no motorcycle.dangerous_no scooter.dirty_no scooter.dangerous_no motorcycle.polluting_no walking.green_yes walking.bobo_no walking.convenient_yes walking.tiring_yes walking.not.for.me_no walking.healthy_no walking.polluting_no walking.healthy_yes walking.bobo_yes walking.cheap_no walking.noisy_no walking.dirty_no walking.long_no walking.tiring_no choice.according.to.carbon.gas.emissions_yes choice.according.to.nb.of.km_yes choice.according.to.category_yes choice.according.to.power_no car.is.above.all_independance fruit.and.veg.market_no politics.no.preference_no buying.a.luxury.car_no buying.a.classic.or.an.estate.car_no.answer politics.far.left_yes eat.organic.food_yes politics.far.left_no politics.green_no fruit.and.veg.vegetable.garden_yes fruit.and.veg.vegetable.garden_no fruit.and.veg.supermarket_yes buying.a.luxury.car_no.answer buying.motor.cycle_no.answer fruit.and.veg.direct.sell_no fruit.and.veg.supermarket_no politics.far.right_no politics.modem_no politics.ump_no eat.in.season.fruit.and.vegetables_no buying.a.wheeler_yes buying.a.wheeler_no.answer buying.scooter_no.answer buying.a.bike_no.answer carpool_yes regular.sport.practice_no people.using.car.fell.guilty_yes global.ecological.emergency_no buying.motor.cycle_no day.to.day.environment.friendly.acts_yes global.ecological.emergency_yes people.using.car.fell.guilty_no pro.carbon.tariffs_yes pro.carbon.tariffs_nsp choice.according.to.fuel.consumption_no brand.important_yes politics.green_yes fruit.and.veg.market_yes fruit.and.veg.direct.sell_yes eat.organic.food_no amator.tuning_no pro.carbon.tariffs_no no.needs_no carpool_no regular.sport.practice_yes buying.a.bike_yes scooter.polluting_no choice.according.to.price_no sit.on.the.fence_no supermarket 18 buying.a.classic.or.an.estate.car_no drive.commercial.vehicle_yes when.do.you.walk_never going.downtown.by.public.transport_no ticket.public.transport.season_no travelling.generally.by.car_yes going.to.leisure.by.bike_yes going.downtown.by.car_yes use.of.parking.relay.metro_yes bike.long_yes car.bobo_yes public.transport.polluting_yes scooter.tiring_yes going.downtown.by.motorcycle_no.answer scooter.long_yes choice.according.to.brand_yes politics.no.preference_yes buying.a.luxury.car_yes pro.carbon.tariffs_no.answer car.is.above.all_security politics.socialists_yes 19 going.downtown.by.scooter_no.answer buying.motor.cycle_yes how.often.do.you.walk_never when.do.you.use.the.car_all going.to.leisure.by.car_yes car.tiring_yes how.often.do.you.use.public.transport_few choice.according.to.color_yes no.needs_yes public.transport.2.to.5.km_no going.to.work.or.school.by.car_yes week how.often.you.use.the.bike_few how.often.do.you.use.the.car_everyday walk.5.to.20.km_yes bike.2.to.5.km_yes walking.not.for.me_yes bike.0.to.2.km_no times a month when.do.you.use.the.bike_weekend bike.5.to.20.km_yes drive.sports.car_yes times a month how.often.do.you.use.public.transport_never politics.modem_yes when.do.you.use.public.transport_never going.on.holidays.by.bike_yes motorcycle.convenient_yes how.often.do.you.use.the.motorcycle_few how.often.do.you.walk_few drive.saloon.car_yes car.is.above.all_no.answer times a a week month moto.0.to.2.km_no motorcycle.tiring_yes walking.dangerous_yes politics.far.right_yes car.green_yes you.do.not.have.any.motorcycle_no buying.scooter_yes when.do.you.use.the.motorcycle_weekend moto.2.to.5.km_yes moto.5.to.20.km_yes moto.more.than.20.km_yes public.transport.not.for.me_yes going.on.holidays.by.feet_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 how.often.do.you.use.the.motorcycle_few going.to.work.or.school.by.motorcycle_yes times a week Dim 1 (8.559%) Figure: Raw representation of the categories on axes 1 and 2

7 How does my dataset look like? Simplified representation of the categories MCA factor map Dim 2 (7.07%) you.do.not.have.any.scooter_no.answe scooter.more.than.20.km_no.answer scooter.5.to.20.km_no.answer scooter.2.to.5.km_no.answer how.often.do.you.use.the.scooter_no.answer when.do.you.use.the.scooter_no.answer moto.more.than.20.km_no.answer moto.2.to.5.km_no.answer the.shopping.by.scooter_yes g.to.leisure.by.scooter_yes ow.often.do.you.use.the.car_never how.often.do.you.use.the.motorcycle_no.answer car.cheap_yes 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 when.do.you.use.the.car_never scooter.cheap_yes amator.tuning_yes how.often.do.you.walk_no.answer day.to.day.environment.friendly.acts_no.answer people.using.car.fell.guilty_no.answer 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 elling.generally.by.public.transport_yes ow.often.do.you.use.public.transport_everyday you.do.not.have.any.car_yes scooter.2.to.5.km_yes i.cannot.afford.a.car_yes when.do.you.use.the.motorcycle_no.answer when.do.you.walk_no.answer ng.the.shopping.by.public.transport_yes doing.the.shopping.by.car_no oing.to.leisure.by.public.transport_yes going.on.holidays.by.car_no you.do.not.have.any.bike_yes bike.more.than.20.km_no.answer car.is.above.all_a travelling.generally.by.car_no ticket.public.transport.season_yes going.to.leisure.by.car_no service station hen.do.you.use.public.transport_all en.do.you.use.public.transport_few ten.do.you.use.the.car_few going.to.work.or.school.by.car_no going.downtown.by.public.transport_yes public.transport.2.to.5.km_yes scooter.too.expensive_yes 0 going.downtown.by.car_no times a when.do.you.use.the.bike_never car.convenient_no car.long_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 way 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 to walk car.not.for.me_yes car.0.to.2.km_yes global.ecological.emergency_no.answer bike.not.for.me_yes sit.on.the.fence_yes times week month motorcycle.too.expensive_yes a week how.often.you.use.the.bike_never bike.0.to.2.km_yes going.to.work.or.school.by.motorcycle_no buy.with.a.private.individual_yes how.often.do.you.walk_everyday you.do.not.have.any.motorcycle_yes going.to.leisure.by.motorcycle.1_no going.to.leisure.by.motorcycle_no drive.saloon.car_no moto.5.to.20.km_no moto.0.to.2.km_yes bike.5.to.20.km_no when.do.you.use.public.transport_no.answer bike.2.to.5.km_no going.on.holidays.by.public.transport_yes doing.the.shopping.by.public.transport_no how.often.do.you.use.the.scooter_never when.do.you.use.the.scooter_never you.do.not.have.any.scooter_yes doing.the.shopping.by.scooter_no going.downtown.by.scooter_no scooter.more.than.20.km_no going.to.leisure.by.scooter_no walk.more.than.20.km_no moto.more.than.20.km_no bike.more.than.20.km_no going.to.leisure.by.foot_no travelling.generally.by.bike_yes going.on.holidays.by.motorcycle_no doing.the.shopping.by.bike_yes you.do.not.have.any.public.transport_yes buy.with.a.car.dealer_no scooter.dirty_yes day.to.day.environment.friendly.acts_no public.transport.too.expensive_yes choice.according.to.fuel.consumption_yes when.do.you.use.the.motorcycle_never public.transport.more.than.20.km_yes buying.a.classic.or.an.estate.car_yes scooter.polluting_yes travelling.generally.by.scooter_no public.transport.0.to.2.km_no when.do.you.walk_all going.on.holidays.by.bike_no how.often.do.you.walk_few times a month going.on.holidays.by.car_yes going.downtown.by.feet_no going.downtown.by.public.transport_no travelling.generally.by.public.transport_no going.to.leisure.by.public.transport_no you.do.not.have.any.bike_no buy.with.a.private.individual_no scooter.5.to.20.km_no walk.5.to.20.km_no walk.0.to.2.km_yes scooter.2.to.5.km_no moto.2.to.5.km_no doing.the.shopping.by.car_yes you.do.not.have.any.car_no i.cannot.afford.a.car_no drive.estate.car_no i.do.not.want.a.car_no car.dirty_yes car.noisy_yes car.too.expensive_no bike.healthy_no public.transport.convenient_yes public.transport.too.expensive_no choice.according.to.price_yes choice.according.to.brand_no motorcycle.convenient_no scooter.bobo_yes scooter.dangerous_yes scooter.not.for.me_no scooter.noisy_yes car.is.above.all_independance motorcycle.not.for.me_yes bike.too.expensive_no drive.sports.car_no car.2.to.5.km_no car.0.to.2.km_no ticket.fraud_no car.tiring_no going.on.holidays.by.scooter_yes supermarket ticket.public.transport.season_no public.transport.0.to.2.km_yes going.to.work.or.school.by.foot_no week when.do.you.use.public.transport_weekend car.convenient_yes bike.noisy_no bike.dirty_no car.noisy_no car.long_no car.too.expensive_yes bike.convenient_yes bike.dangerous_no bike.dangerous_yes scooter.convenient_yes choice.according.to.color_no motorcycle.polluting_yes motorcycle.too.expensive_no public.transport.convenient_no public.transport.long_no walking.too.expensive_no public.transport.cheap_no public.transport.tiring_no scooter.too.expensive_no politics.no.preference_no regular.sport.practice_no eat.in.season.fruit.and.vegetables_yes fruit.and.veg.supermarket_yes walking.dangerous_no motorcycle.healthy_no buying.a.luxury.car_no motorcycle.green_no bike.tiring_yes bike.not.for.me_no scooter.noisy_no bike.polluting_no scooter.tiring_no bike.healthy_yes scooter.long_no scooter.not.for.me_yes motorcycle.not.for.me_no motorcycle.cheap_no motorcycle.tiring_no motorcycle.dangerous_no scooter.dirty_no bike.long_no car.dirty_no scooter.dangerous_no motorcycle.polluting_no walking.polluting_no brand.important_no fruit.and.veg.supermarket_no buying.motor.cycle_no politics.socialists_no carpool_yes politics.far.right_no politics.modem_no walking.noisy_no walking.dirty_no choice.according.to.fuel.consumption_no eat.in.season.fruit.and.vegetables_no day.to.day.environment.friendly.acts_yes people.using.car.fell.guilty_yes buying.scooter_no buying.a.bike_no buying.a.classic.or.an.estate.car_no regular.sport.practice_yes pro.carbon.tariffs_yes brand.important_yes scooter.polluting_no choice.according.to.brand_yes public.transport.polluting_yes politics.no.preference_yes choice.according.to.price_no buying.a.luxury.car_yes buying.a.bike_yes travelling.generally.by.car_yes politics.socialists_yes sit.on.the.fence_no amator.tuning_no carpool_no when.do.you.use.the.car_all going.downtown.by.car_yes how.often.do.you.use.public.transport_few going.to.work.or.school.by.car_yes going.to.leisure.by.car_yes bike.long_yes going.downtown.by.scooter_no.answer choice.according.to.color_yes buying.motor.cycle_yes how.often.you.use.the.bike_few week when.do.you.use.public.transport_never when.do.you.use.the.bike_weekend how.often.do.you.use.the.car_everyday public.transport.2.to.5.km_no bike.2.to.5.km_yes bike.0.to.2.km_no car.tiring_yes times times a month a month how.often.do.you.use.public.transport_never bike.5.to.20.km_yes how.often.do.you.walk_few motorcycle.convenient_yes politics.modem_yes motorcycle.tiring_yes moto.0.to.2.km_no walking.dangerous_yes drive.saloon.car_yes politics.far.right_yes times a week you.do.not.have.any.motorcycle_no buying.scooter_yes public.transport.not.for.me_yes moto.5.to.20.km_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 how.often.do.you.use.the.motorcycle_few going.to.work.or.school.by.motorcycle_yes times a week Dim 1 (8.559%) Figure: Simplified representation of the categories on axes 1 and 2

8 How can the main axes of variability be interpreted? Description of the first axis: positive side ( 1 / 5 ) The following categories are meaningful for the first axis (positive side): moto.0.to.2.km_no.answer scooter.0.to.2.km_no.answer moto.5.to.20.km_no.answer you.do.not.have.any.scooter_no.answer scooter.5.to.20.km_no.answer you.do.not.have.any.motorcycle_no.answer moto.2.to.5.km_no.answer moto.more.than.20.km_no.answer scooter.2.to.5.km_no.answer walk.2.to.5.km_no.answer

9 How can the main axes of variability be interpreted? Description of the first axis: positive side ( 2 / 5 ) The following categories are meaningful for the first axis (positive side): walk.0.to.2.km_no.answer scooter.more.than.20.km_no.answer walk.5.to.20.km_no.answer walk.more.than.20.km_no.answer when.do.you.use.the.scooter_no.answer public.transport.2.to.5.km_no.answer public.transport.5.to.20.km_no.answer public.transport.0.to.2.km_no.answer bike.2.to.5.km_no.answer bike.more.than.20.km_no.answer

10 How can the main axes of variability be interpreted? Description of the first axis: positive side ( 3 / 5 ) The following categories are meaningful for the first axis (positive side): bike.0.to.2.km_no.answer bike.5.to.20.km_no.answer public.transport.more.than.20.km_no.answer how.often.do.you.use.the.car_no.answer how.often.do.you.use.the.scooter_no.answer you.do.not.have.any.bike_no.answer how.often.do.you.use.the.motorcycle_no.answer when.do.you.use.the.motorcycle_no.answer when.do.you.use.the.bike_no.answer when.do.you.walk_no.answer

11 How can the main axes of variability be interpreted? Description of the first axis: positive side ( 4 / 5 ) The following categories are meaningful for the first axis (positive side): car.2.to.5.km_no.answer car.0.to.2.km_no.answer car.5.to.20.km_no.answer car.more.than.20.km_no.answer going.to.work.or.school.by.car_yes how.often.do.you.walk_no.answer when.do.you.use.public.transport_no.answer how.often.you.use.the.bike_no.answer travelling.generally.by.car_yes travelling.generally.by.public.transport_no

12 How can the main axes of variability be interpreted? Description of the first axis: positive side ( 5 / 5 ) The following categories are meaningful for the first axis (positive side): you.do.not.have.any.car_no how.often.do.you.walk_few times a month going.on.holidays.by.public.transport_no when.do.you.use.the.car_no.answer doing.the.shopping.by.car_yes 20

13 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 1 / 8 ) The following categories are meaningful for the first axis (negative side): moto.5.to.20.km_no scooter.0.to.2.km_no moto.more.than.20.km_no walk.2.to.5.km_no moto.0.to.2.km_no moto.2.to.5.km_no you.do.not.have.any.motorcycle_yes scooter.5.to.20.km_no you.do.not.have.any.scooter_no you.do.not.have.any.motorcycle_no

14 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 2 / 8 ) The following categories are meaningful for the first axis (negative side): walk.5.to.20.km_no walk.0.to.2.km_no scooter.5.to.20.km_yes scooter.2.to.5.km_no moto.0.to.2.km_yes moto.5.to.20.km_yes scooter.0.to.2.km_yes scooter.2.to.5.km_yes moto.2.to.5.km_yes you.do.not.have.any.scooter_yes

15 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 3 / 8 ) The following categories are meaningful for the first axis (negative side): walk.0.to.2.km_yes walk.2.to.5.km_yes moto.more.than.20.km_yes scooter.more.than.20.km_no bike.more.than.20.km_no scooter.more.than.20.km_yes public.transport.more.than.20.km_no walk.5.to.20.km_yes bike.0.to.2.km_no bike.5.to.20.km_no

16 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 4 / 8 ) The following categories are meaningful for the first axis (negative side): public.transport.0.to.2.km_no bike.2.to.5.km_no public.transport.5.to.20.km_no walk.more.than.20.km_yes public.transport.2.to.5.km_yes you.do.not.have.any.bike_no walk.more.than.20.km_no public.transport.2.to.5.km_no bike.2.to.5.km_yes public.transport.5.to.20.km_yes

17 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 5 / 8 ) The following categories are meaningful for the first axis (negative side): how.often.do.you.use.the.car_few times a month bike.5.to.20.km_yes how.often.do.you.walk_everyday public.transport.0.to.2.km_yes bike.0.to.2.km_yes you.do.not.have.any.bike_yes how.often.do.you.use.the.car_few times a week public.transport.more.than.20.km_yes when.do.you.walk_all week when.do.you.use.the.scooter_never

18 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 6 / 8 ) The following categories are meaningful for the first axis (negative side): how.often.do.you.use.the.car_never going.to.work.or.school.by.car_no when.do.you.use.public.transport_all week car.5.to.20.km_no when.do.you.use.the.scooter_weekend how.often.do.you.use.the.motorcycle_never car.more.than.20.km_no travelling.generally.by.car_no car.0.to.2.km_no car.2.to.5.km_no

19 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 7 / 8 ) The following categories are meaningful for the first axis (negative side): when.do.you.walk_week only when.do.you.use.the.motorcycle_never car.2.to.5.km_yes car.0.to.2.km_yes how.often.do.you.use.public.transport_few times a week how.often.do.you.use.the.scooter_few times a month how.often.do.you.use.the.scooter_never when.do.you.use.the.bike_all week car.more.than.20.km_yes car.5.to.20.km_yes

20 How can the main axes of variability be interpreted? Description of the first axis: negative side ( 8 / 8 ) The following categories are meaningful for the first axis (negative side): how.often.you.use.the.bike_few times a week travelling.generally.by.public.transport_yes you.do.not.have.any.car_yes when.do.you.use.the.scooter_all week when.do.you.walk_never going.on.holidays.by.public.transport_yes when.do.you.use.the.car_never doing.the.shopping.by.car_no when.do.you.use.the.motorcycle_weekend

21 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 1 / 7 ) The following categories are meaningful for the second axis (positive side): travelling.generally.by.public.transport_yes doing.the.shopping.by.car_no ticket.public.transport.season_yes going.to.work.or.school.by.car_no you.do.not.have.any.car_yes travelling.generally.by.car_no doing.the.shopping.by.public.transport_yes when.do.you.use.public.transport_all week going.on.holidays.by.car_no how.often.do.you.use.public.transport_everyday

22 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 2 / 7 ) The following categories are meaningful for the second axis (positive side): how.often.do.you.use.the.motorcycle_no.answer how.often.do.you.use.the.car_never moto.5.to.20.km_no.answer drive.saloon.car_no.answer going.downtown.by.car_no how.often.do.you.walk_no.answer moto.more.than.20.km_no.answer moto.2.to.5.km_no.answer moto.0.to.2.km_no.answer public.transport.2.to.5.km_yes

23 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 3 / 7 ) The following categories are meaningful for the second axis (positive side): drive.estate.car_no.answer when.do.you.use.the.car_never drive.sports.car_no.answer drive.commercial.vehicle_no.answer city.dweller_no.answer 22 drive.four.wheeler_no.answer i.cannot.afford.a.car_no.answer going.on.holidays.by.motorcycle_yes going.to.work.or.school.by.foot_yes

24 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 4 / 7 ) The following categories are meaningful for the second axis (positive side): going.to.work.or.school.by.public.transport_yes car.5.to.20.km_no.answer car.2.to.5.km_no.answer going.to.leisure.by.motorcycle.1_no.answer going.to.leisure.by.motorcycle_no.answer car.more.than.20.km_no.answer when.do.you.use.the.car_no.answer going.downtown.by.motorcycle_no i.do.not.want.a.car_no.answer car.0.to.2.km_no.answer

25 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 5 / 7 ) The following categories are meaningful for the second axis (positive side): when.do.you.use.the.motorcycle_no.answer going.to.leisure.by.car_no.answer doing.the.shopping.by.scooter_yes how.often.do.you.use.the.scooter_no.answer going.to.work.or.school.by.motorcycle_no going.to.leisure.by.bike_no.answer travelling.generally.by.feet_yes going.downtown.by.public.transport_yes going.to.leisure.by.public.transport_no.answer when.do.you.use.the.bike_never

26 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 6 / 7 ) The following categories are meaningful for the second axis (positive side): bike.2.to.5.km_no going.to.leisure.by.foot.1_no.answer going.to.leisure.by.foot_no.answer bike.5.to.20.km_no bike.0.to.2.km_yes going.downtown.by.bike_no how.often.you.use.the.bike_no.answer going.to.work.or.school.by.scooter_yes when.do.you.walk_no.answer walk.more.than.20.km_yes

27 How can the main axes of variability be interpreted? Description of the second axis: positive side ( 7 / 7 ) The following categories are meaningful for the second axis (positive side): going.downtown.by.feet_no you.do.not.have.any.motorcycle_no.answer

28 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 1 / 8 ) The following categories are meaningful for the second axis (negative side): travelling.generally.by.public.transport_no doing.the.shopping.by.car_yes ticket.public.transport.season_no going.to.work.or.school.by.car_yes you.do.not.have.any.car_no travelling.generally.by.car_yes doing.the.shopping.by.public.transport_no i.cannot.afford.a.car_no how.often.do.you.use.the.car_everyday when.do.you.use.the.car_all week

29 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 2 / 8 ) The following categories are meaningful for the second axis (negative side): going.on.holidays.by.car_yes i.do.not.want.a.car_no how.often.you.use.the.bike_few times a month going.to.leisure.by.public.transport_no how.often.do.you.use.public.transport_never how.often.do.you.use.the.motorcycle_few times a week how.often.do.you.use.the.scooter_never moto.5.to.20.km_yes car.0.to.2.km_no moto.0.to.2.km_no

30 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 3 / 8 ) The following categories are meaningful for the second axis (negative side): how.often.do.you.use.public.transport_few times a month going.to.leisure.by.scooter_no going.to.leisure.by.motorcycle.1_yes going.to.leisure.by.motorcycle_yes drive.saloon.car_yes when.do.you.use.the.car_week only moto.more.than.20.km_yes you.do.not.have.any.bike_no going.on.holidays.by.motorcycle_no going.to.work.or.school.by.foot_no

31 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 4 / 8 ) The following categories are meaningful for the second axis (negative side): city.dweller_no going.to.work.or.school.by.public.transport_no going.to.leisure.by.car_yes moto.2.to.5.km_yes when.do.you.use.the.scooter_never 19 drive.four.wheeler_no drive.commercial.vehicle_no 23 drive.estate.car_no

32 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 5 / 8 ) The following categories are meaningful for the second axis (negative side): public.transport.2.to.5.km_no when.do.you.use.public.transport_never 18 drive.estate.car_yes car.2.to.5.km_no drive.saloon.car_no how.often.do.you.walk_few times a week when.do.you.use.the.motorcycle_all week buying.gasoline_supermarket drive.sports.car_yes

33 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 6 / 8 ) The following categories are meaningful for the second axis (negative side): doing.the.shopping.by.scooter_no city.dweller_yes drive.commercial.vehicle_yes car.more.than.20.km_yes going.to.work.or.school.by.motorcycle_yes drive.sports.car_no car.5.to.20.km_no going.downtown.by.car_no.answer you.do.not.have.any.motorcycle_no travelling.generally.by.feet_no

34 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 7 / 8 ) The following categories are meaningful for the second axis (negative side): scooter.5.to.20.km_no car.5.to.20.km_yes scooter.2.to.5.km_no going.downtown.by.public.transport_no.answer drive.four.wheeler_yes going.to.leisure.by.bike_yes going.downtown.by.feet_no.answer scooter.more.than.20.km_no going.downtown.by.scooter_no.answer going.downtown.by.bike_no.answer

35 How can the main axes of variability be interpreted? Description of the second axis: negative side ( 8 / 8 ) The following categories are meaningful for the second axis (negative side): car.more.than.20.km_no car.2.to.5.km_yes 20 going.to.work.or.school.by.scooter_no going.to.leisure.by.foot.1_yes going.to.leisure.by.foot_yes when.do.you.use.the.bike_weekend

36 : Multivariate Exploratory Analysis of Questionnaires Multivariate exploration of the questionnaire How is my dataset structured? How does my dataset look like? How can the main axes of variability be interpreted? How many groups are there in my dataset? How can the groups be displayed? How different are the groups? How can the groups be described?

37 How many groups are there in my dataset? Number of clusters chosen by the analyst Choice of the number of clusters by cutting the dendrogram Height dist hclust (*, "ward") Figure: A number of clusters is chosen

38 Multivariate exploration of the questionnaire How can the groups be displayed? Representation of the individuals according to the group they belong to MCA factor map Dim 2 (7.07%) Dim 1 (8.559%) Figure: Correspondence map displaying clusters

39 Multivariate exploration of the questionnaire How can the groups be displayed? Simplified representation of the individuals according to the group they belong to Density curbs Dim 2 ( 7.07 %) Dim 1 ( %) Figure: Levelling curves around each cluster

40 Multivariate exploration of the questionnaire How can the groups be displayed? Representation of the barycenter of each group enhanced with confidence ellipses Confidence ellipses for the mean points Dim 2 (7.07%) classe 2 classe 1 classe Dim 1 (8.559%) Figure: Confidence ellipses around each cluster

41 How different are the groups? Number of individuals per cluster number of individuals by groups group 1 group 2 group 3 Figure: Number of individuals by cluster

42 How different are the groups? Distribution of the individuals per cluster for the variable walk.more.than.20.km walk.more.than.20.km by cluster 80 1st bar: walk.more.than.20.km_no 2nd bar: walk.more.than.20.km_no.answer group 1 group 2 group 3 Figure: Variable walk.more.than.20.km

43 How different are the groups? Distribution of the individuals per cluster for the variable walk.2.to.5.km walk.2.to.5.km by cluster 70 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 group 1 group 2 group 3 Figure: Variable walk.2.to.5.km

44 How different are the groups? Distribution of the individuals per 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 group 1 group 2 group 3 Figure: Variable walk.0.to.2.km

45 How different are the groups? Distribution of the individuals per cluster for the variable walk.5.to.20.km walk.5.to.20.km by cluster 80 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 group 1 group 2 group 3 Figure: Variable walk.5.to.20.km

46 How different are the groups? Distribution of the individuals per cluster for the variable public.transport.more.than.20.km public.transport.more.than.20.km by cluster 80 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 group 1 group 2 group 3 Figure: Variable public.transport.more.than.20.km

47 How different are the groups? Distribution of the individuals per 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 group 1 group 2 group 3 Figure: Variable public.transport.5.to.20.km

48 How different are the groups? Distribution of the individuals per cluster for the variable public.transport.2.to.5.km public.transport.2.to.5.km by cluster st 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 group 1 group 2 group 3 Figure: Variable public.transport.2.to.5.km

49 How different are the groups? Distribution of the individuals per cluster for the variable public.transport.0.to.2.km public.transport.0.to.2.km by cluster 70 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 group 1 group 2 group 3 Figure: Variable public.transport.0.to.2.km

50 How different are the groups? Distribution of the individuals per 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 group 1 group 2 group 3 Figure: Variable scooter.5.to.20.km

51 How different are the groups? Distribution of the individuals per cluster for the variable moto.5.to.20.km moto.5.to.20.km by cluster 80 1st bar: moto.5.to.20.km_no 2nd bar: moto.5.to.20.km_yes group 1 group 2 group 3 Figure: Variable moto.5.to.20.km

52 How can the groups be described? Description of cluster 1 ( 1 / 7 ) The following modalities are meaningful for cluster 1 : how.often.do.you.use.the.motorcycle=how.often.do.you.use.the.motorc % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 when.do.you.use.the.motorcycle=when.do.you.use.the.motorcycle_never % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 moto.5.to.20.km=moto.5.to.20.km_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 public.transport.more.than.20.km=public.transport.more.than.20.km_no % of the individuals possess this category in the global population versus 83.13% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 moto.more.than.20.km=moto.more.than.20.km_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1

53 How can the groups be described? Description of cluster 1 ( 2 / 7 ) The following modalities are meaningful for cluster 1 : walk.more.than.20.km=walk.more.than.20.km_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; 78.3 % individuals possessing this category belong to cluster 1 how.often.do.you.use.the.scooter=how.often.do.you.use.the.scooter_n % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; 78.3 % individuals possessing this category belong to cluster 1 when.do.you.use.the.scooter=when.do.you.use.the.scooter_never % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; 78.3 % individuals possessing this category belong to cluster 1 going.to.leisure.by.motorcycle.1=going.to.leisure.by.motorcycle.1_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; 78.3 % individuals possessing this category belong to cluster 1 going.to.leisure.by.motorcycle=going.to.leisure.by.motorcycle_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; 78.3 % individuals possessing this category belong to cluster 1

54 How can the groups be described? Description of cluster 1 ( 3 / 7 ) The following modalities are meaningful for cluster 1 : you.do.not.have.any.motorcycle=you.do.not.have.any.motorcycle_yes % of the individuals possess this category in the global population versus 97.59% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 public.transport.5.to.20.km=public.transport.5.to.20.km_no 62.5 % of the individuals possess this category in the global population versus 72.29% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 buying.gasoline=supermarket % of the individuals possess this category in the global population versus 86.75% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 scooter.5.to.20.km=scooter.5.to.20.km_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 scooter.not.for.me=scooter.not.for.me_yes % of the individuals possess this category in the global population versus 62.65% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1

55 How can the groups be described? Description of cluster 1 ( 4 / 7 ) The following modalities are meaningful for cluster 1 : moto.2.to.5.km=moto.2.to.5.km_no % of the individuals possess this category in the global population versus 98.8% of the individuals within cluster 1; 78.1 % individuals possessing this category belong to cluster 1 moto.0.to.2.km=moto.0.to.2.km_yes % of the individuals possess this category in the global population versus 95.18% of the individuals within cluster 1; 79 % individuals possessing this category belong to cluster 1 regular.sport.practice=regular.sport.practice_yes % of the individuals possess this category in the global population versus 63.86% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 buying.motor.cycle=buying.motor.cycle_no % of the individuals possess this category in the global population versus 92.77% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 i.do.not.want.a.car=i.do.not.want.a.car_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1

56 How can the groups be described? Description of cluster 1 ( 5 / 7 ) The following modalities are meaningful for cluster 1 : scooter.2.to.5.km=scooter.2.to.5.km_no % of the individuals possess this category in the global population versus 100% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 motorcycle.not.for.me=motorcycle.not.for.me_yes % of the individuals possess this category in the global population versus 61.45% of the individuals within cluster 1; 85 % individuals possessing this category belong to cluster 1 walk.2.to.5.km=walk.2.to.5.km_no % of the individuals possess this category in the global population versus 67.47% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 people.using.car.fell.guilty=people.using.car.fell.guilty_yes 25 % of the individuals possess this category in the global population versus 31.33% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1 how.often.do.you.use.the.car=how.often.do.you.use.the.car_few times % of the individuals possess this category in the global population versus 24.1% of the individuals within cluster 1; % individuals possessing this category belong to cluster 1