Process of Arranged Travel Selection

ドキュメント内 2016 Market Surver Of Overseas Travel (Page 59-65)

59

60

1. Matters Arranged Prior to Departure

Sample

Air tickets Hotel Accommodations

Optional tour / Local

activities

Car rentals Other

2016 survey total 1,694 93.9 77.8 14.8 8.1 5.9

2015 survey total 1,793 92.8 77.1 15.0 9.0 7.7

2014 survey total 1,657 94.5 80.5 18.0 9.1 6.1

Male 976 94.2 79.4 14.2 8.9 5.2

Female 719 93.4 75.7 15.6 7.0 6.8

Male 18-29 yrs 115 96.3 7 0 .6 11.9 5.0 2.5

Male 30-39 yrs 210 93.8 73.3 15.2 6.2 2.4

Male 40-49 yrs 258 95.8 82.7 12.1 8.9 3.3

Male 50-59 yrs 211 95.5 86.0 13.1 11.7 5.9

Male 60 yrs or older 182 89.9 79.7 18.9 11.5 12.2

Female 18-29 yrs 165 89.6 6 7 .9 17.2 3 .0 2.2

Female 30-39 yrs 164 95.8 73.3 15.8 6.1 7.3

Female 40-49 yrs 168 94.0 80.9 14.8 9.3 4.9

Female 50-59 yrs 120 98.1 83.9 18.7 7.7 11.6

Female 60 yrs or older 101 89.3 73.8 10.7 10.7 10.7

Kanto 1,074 93.9 78.5 14.8 8.9 6.3

Kansai 396 93.5 76.9 15.3 7.5 4.9

Tokai 224 94.5 76.5 14.0 5.9 5.7

Worker (child 7 yrs and over) 512 93.2 80.7 15.6 11.6 7.5

Worker (child 2-6 yrs) 90 91.5 6 9 .4 16.6 16.2 4.4

Worker (child 1 yr and under) 43 92.0 74.9 18.7 2 .3 2.3

Worker (married, no children) 360 96.1 81.9 12.5 9.1 6.4

Worker (unmarried) 624 93.3 75.9 14.7 4.8 5.1

Unmarried male 387 95.5 76.9 10.8 5.9 4.1

Unmarried female 20s/30s 208 91.7 6 7 .7 18.6 3 .1 3.6

Unmarried female 40s and over 94 90.5 82.1 24.2 1 .0 10.2

Student 66 97.0 6 4 .9 17.9 ― 1.9

Light 159 93.7 6 5 .6 13.9 2 .4 3.0

Middle 325 92.4 73.0 15.0 5.5 4.7

Heavy 1,211 94.3 80.7 14.9 9.6 6.6

50.0 …Figures 5 or more points or higher than the 2016 survey total are shaded.

5 0 .0 …Figures 5 or more points or lower than the 2016 survey total are shaded.

Sex

Sex & age

Number of trips taken Area of residence

Life stage

0 20 40 60 80 100

2016 survey total 2015 survey total 2014 survey total

(%)

■Matters arranged prior to departure

(Those who made travel arrangements and were involved in consideration of the travel plans/Multiple answers)

Sample Internet accessed by

PC Internet accessed by smartphone/

tablet, etc.

Travel agency counters

Email magazine send by travel agent or airline

Feedback and introductions (word-of-mouth) of friends, acquaintances, family members

Acquaintances at travel agencies

Travel agency pamphlets

Internet accessed by

mobile telephone (iMode, Ezweb, Yahoo! Keitai, etc.)

Articles and ads in

general-interest magazines

Guidebook-style magazines

such as

"Rurubu Hawaii," etc.

Guidebooks ("Chikyuu no arukikata,"

etc.) Information

magazines sent from travel agents

and airlines Newspaper ads

Seikyo pamphlets and

counters Overseas

travel magazines other than guidebook-style magazines

Free flyers and flyers in newspapers

Transportation ads on trains and at stations

TV programs and commercials

Other I don't really

gather information

2016 survey total 1,591 76.2 8.7 4.1 1.9 0.9 0.8 0.3 0.1 0.1 0.1 0.1 0.1 0.1 1.1 5.4

2015 survey total 1,663 80.2 4.1 4.2 1.0 1.2 1.7 0.2 0.1 0.1 0.1 0.1 0.3 0.1 0.1 0.1 1.2 5.2

2014 survey total 1,567 80.4 3.1 4.5 1.8 1.2 1.3 1.0 0.1 0.1 0.3 0.1 0.1 0.1 0.1 0.6 5.4

Male 920 79.7 6.1 3.8 1.9 0.7 0.8 0.2 0.1 0.1 0.1 0.9 5.6

Female 671 71.5 12.3 4.4 1.9 1.3 0.9 0.4 0.3 0.3 0.2 0.1 1.4 5.1

Male 18-29 yrs 111 6 6 .9 11.0 5.8 0.6 1.9 0.6 0.6 1.9 10.4

Male 30-39 yrs 197 84.3 6.6 2.0 0.5 1.0 0.5 0.5 4.6

Male 40-49 yrs 247 81.5 6.3 2.4 2.0 1.0 1.0 0.5 5.4

Male 50-59 yrs 201 82.5 6.1 1.9 1.9 0.9 0.5 0.5 5.7

Male 60 yrs or older 164 76.7 1 .5 9.0 4.5 0.8 0.8 3.0 3.8

Female 18-29 yrs 148 5 6 .7 25.8 4.2 0.8 0.8 0.8 0.8 1.7 8.3

Female 30-39 yrs 157 6 3 .3 17.7 7.6 0.6 1.9 0.6 0.6 1.3 0.6 1.3 4.4

Female 40-49 yrs 158 83.1 7.0 1.7 1.7 1.2 1.2 0.6 1.2 2.3

Female 50-59 yrs 118 77.0 4.6 3.9 3.9 1.3 1.3 0.7 2.0 5.3

Female 60 yrs or older 90 82.6 4.3 3.3 1.1 2.2 1.1 5.4

Kanto 1,008 77.1 8.9 3.6 1.9 0.8 0.5 0.3 0.2 0.1 0.1 0.1 0.1 1.1 5.1

Kansai 371 73.2 8.2 5.2 1.9 1.5 1.7 0.5 0.2 0.3 0.3 0.2 6.7

Tokai 212 77.3 8.5 4.1 1.7 0.4 0.9 2.7 4.4

Worker (child 7 yrs and over) 477 76.5 5.1 5.2 3.1 0.7 0.8 0.2 0.2 0.3 0.2 1.8 5.8

Worker (child 2-6 yrs) 82 76.0 12.5 1.2 1.1 3.8 1.2 4.1

Worker (child 1 yr and under) 40 6 4 .3 14.7 8.1 4.9 2.3 5.6

Worker (married, no children) 346 78.6 9.0 3.9 2.3 0.8 0.9 0.5 4.0

Worker (unmarried) 582 76.6 10.5 3.2 0.8 0.4 1.1 0.5 0.2 0.1 0.2 0.2 0.1 0.8 5.4

Unmarried male 370 81.4 5.9 3.0 0.8 0.3 0.9 0.5 0.2 0.6 6.4

Unmarried female 20s/30s 190 5 9 .4 22.3 5.2 0.6 1.2 0.6 0.5 0.5 0.6 0.5 2.3 6.1

Unmarried female 40s and over 85 86.8 3 .1 2.9 2.3 0.9 0.9 3.1

Student 64 6 5 .6 9.2 5.3 3.1 1.9 4.2 10.7

Light 149 6 2 .2 9.4 7.3 1.3 2.1 0.5 1.1 0.7 0.5 1.7 13.3

Middle 300 7 0 .0 12.5 6.5 2.6 0.3 0.7 0.7 0.3 0.4 0.3 1.5 4.2

Heavy 1,142 79.7 7.6 3.0 1.8 0.9 0.9 0.1 0.1 0.1 0.1 1.0 4.6

50.0 …Figures 5 or more points or higher than the 2016 survey total are shaded.

5 0 .0 …Figures 5 or more points or lower than the 2016 survey total are shaded.

† In the survey before last (implemented in 2014) and before, "Internet accessed by PC" was asked about as "By Internet or email (accessed by PC)," "Internet accessed by smartphone, tablet, etc." was asked about as "By Internet or email (accessed by smartphone or tablet / including apps),"

and "Internet accessed by mobile telephone (iMode, Ezweb, Yahoo! Keitai, etc.)" was asked about as "By mobile (iMode, Ezweb, Yahoo! Keitai, etc.) site or mobile email."

Number of trips taken Area of residence Sex & age Sex

Life stage

0 20 40 60 80 100

2016 survey total 2015 survey total 2014 survey total

(%)

61

2. Sources of Information Used to Find Air Tickets

■Sources of information used to arrange air tickets

(Those who arranged air tickets in advance and were involved in consideration of the travel plans/Single answer)

62

3. Means of Arranging Air Tickets

Sample

Website On

phone Branch,

shop, counter

Other means Website

Branch, shop, counter

On phone

Other

means Website On

phone Other means

Branch, shop, counter

2016 survey total 1,591 55.9 2.1 1.4 0.6 15.1 4.5 2.0 0.1 10.0 0.6 0.4 0.1 3.3 4.0

2015 survey total 1,663 57.6 2.7 1.8 0.6 16.0 4.3 2.7 1.1 7.6 0.3 0.2 0.3 2.2 2.5

2014 survey total 1,567 56.7 2.2 1.7 0.8 15.2 5.4 2.9 1.6 8.0 0.7 0.1 0.3 1.9 2.5

Male 920 58.5 1.4 1.5 0.6 16.3 4.2 2.2 0.2 7.8 0.6 0.3 0.1 2.9 3.4

Female 671 52.5 3.1 1.2 0.6 13.5 4.9 1.6 0.1 12.9 0.6 0.4 ― 3.9 4.7

Male 18-29 yrs 111

4 6 .1

2.6 4.5 1.3 11.0 6.5 0.6 1.3 11.7 0.6 0.6 ― 2.6 10.4

Male 30-39 yrs 197 57.9 2.0 1.5 0.5 17.3 3.6 2.0 ― 7.6 1.0 ― ― 1.5 5.1

Male 40-49 yrs 247 63.4 0.5 1.0 0.5 15.1 2.4 2.4 ― 6.8 ― 1.0 0.5 3.9 2.4

Male 50-59 yrs 201 62.7 1.9 0.5 0.9 15.1 2.4 2.8 ― 10.4 ― ― ― 1.9 1.4

Male 60 yrs or older 164 54.9 0.8 1.5 ― 21.8 8.3 2.3 ―

3 .8

1.5 ― ― 4.5 0.8

Female 18-29 yrs 148

3 7 .5

0.8 0.8 ― 11.7 5.0 ― ― 26.7 0.8 ― ― 5.8 10.8

Female 30-39 yrs 157 51.3 3.8 3.2 ― 12.7 7.0 1.9 ― 11.4 1.3 ― ― 4.4 3.2

Female 40-49 yrs 158 58.1 3.5 0.6 1.7 17.4 1.7 1.2 0.6 9.3 0.6 0.6 ― 3.5 1.2

Female 50-59 yrs 118 60.5 3.3 ― ― 11.2 5.9 2.0 ― 7.2 ― 0.7 ― 2.6 6.6

Female 60 yrs or older 90 58.7 4.3 1.1 1.1 14.1 5.4 4.3 ― 6.5 ― 1.1 ― 2.2 1.1

Kanto 1,008 57.4 2.4 1.2 0.7 14.9 4.5 1.9 0.1 9.6 0.5 0.2 ― 3.2 3.6

Kansai 371 55.3 1.6 1.7 0.5 13.2 5.1 2.0 0.2 9.7 0.8 0.7 ― 3.6 5.5

Tokai 212

4 9 .9

1.7 2.0 ― 19.7 3.5 2.3 0.3 12.2 0.5 0.5 0.6 3.7 3.2

Worker (child 7 yrs and over) 477 59.0 1.8 1.2 0.6 15.4 5.9 3.1 ― 6.3 0.3 0.4 ― 3.6 2.5

Worker (child 2-6 yrs) 82 63.4 1.2 1.2 1.1

1 0 .0

2.4 ― ― 8.3 ― ― 1.5 1.5 9.3

Worker (child 1 yr and under) 40

3 4 .1

6.8 2.3 ―

6 .7

10.6 ― ― 15.7 2.5 ― ― 10.1 11.2

Worker (married, no children) 346 60.6 2.6 1.1 0.9 14.5 3.7 2.2 0.5 8.3 0.6 0.6 ― 2.5 2.1

Worker (unmarried) 582 52.0 2.1 1.3 0.3 16.7 3.9 1.4 ― 13.6 0.9 0.3 ― 3.4 4.1

Unmarried male 370 55.7 2.1 1.3 0.6 16.3 4.5 1.4 0.2 10.4 0.8 0.2 ― 1.9 4.7

Unmarried female 20s/30s 190

4 1 .3

0.6 2.7 ― 14.5 4.2 0.5 ― 22.5 1.2 ― ― 5.6 6.9

Unmarried female 40s and over 85 57.1 4.2 ― ― 21.0 ― 3.4 ― 6.0 ― 1.1 ― 5.2 2.0

Student 64

4 8 .0

― 4.5 1.1 13.7 3.1 1.1 1.1 10.8 ― ― ― 3.9 12.6

Light 149

4 0 .8

1.1 3.3 ― 12.9 6.7 1.3 0.5 8.3 0.5 1.9 ― 7.1 15.7

Middle 300

4 7 .7

1.9 2.5 0.2 15.5 7.8 1.3 0.2 15.0 0.7 ― ― 3.3 4.0

Heavy 1,142 60.1 2.3 0.8 0.7 15.3 3.3 2.2 0.1 8.9 0.6 0.3 0.1 2.8 2.4

50.0 …Figures 5 or more points or higher than the 2016 survey total are shaded.

5 0 .0

…Figures 5 or more points or lower than the 2016 survey total are shaded.

Area of residence Sex & age Sex

Number of trips taken Life stage

Don't know Arrangement through airline Arrangement through travel agent Arrangement through shop

specializing in bargain air tickets Arranged through other means 0

20 40 60

2016 survey total 2015 survey total 2014 survey total

(%)

■Means of arranging air tickets

(Those who arranged air tickets in advance and were involved in the consideration of travel/Single answer)

63

Sample

It is an assuring airline There are direct flights The flight suits my schedule It is a Japanese airline It is a well-known travel agency Easy to use accumulated miles Price was cheaper than other tickets for the same conditions I accrue miles / the additional terms are good for the airline I use Connecting flights are convenient Is a Low-Cost Carrier Departs from nearest airport Cabin crew provides good service Airline nationality same as destination Full lineup of in-flight food is offered I accrue miles / the additional terms are good for the airline I use or an affiliated airline Aircraft equipment is good (new, clean) In-flight entertainment (movies, music, in-flight magazine, etc.) Aircraft amenities (width of seats, etc.) are good There are cabin crew who speak Japanese Is business class or higher Can buy through a method I am accustomed to Price was cheaper than other tickets but the conditions were not the same Airport ground crew provides good service Airline staff at airport are good at what they do The airline is designated Not a low cost carrier Was recommended by a travel agent Other Nothing in particular I didn't choose the airline

2016 survey total 1,591 41.1 31.7 31.5 16.0 15.8 14.7 12.7 11.3 10.8 9.8 8.8 8.1 7.3 7.2 7.0 6.6 5.4 5.4 5.3 5.1 4.5 4.4 3.3 2.8 2.4 1.9 0.7 2.7 4.2 3.2

2015 survey total 1,663 38.0 37.3 36.2 16.3 16.5 13.2 13.9 14.5 9.8 10.4 8.7 8.5 6.4 6.1 5.9 6.3 5.8 5.0 5.1 5.6 4.9 4.1 4.0 2.5 3.4 * 0.7 2.2 3.3 3.7

2014 survey total 1,567 39.8 33.8 34.9 14.7 14.8 12.3 14.0 18.4 11.7 9.0 10.4 9.2 5.8 7.0 6.2 7.7 6.5 5.1 6.5 5.6 6.5 4.0 4.6 3.3 4.1 * 0.8 2.3 4.0 4.1

Male 920 ①42.2 ②30.7 ③29.6 ④18.7 ⑤17.3 15.6 10.8 11.7 8.5 10.2 8.3 9.0 7.1 7.8 7.6 8.1 4.8 6.4 5.7 6.8 4.2 3.7 3.6 3.0 1.5 2.1 0.7 2.9 4.4 2.3

Female 671 ①39.5 ③32.9 ②34.1 12.2 13.7 13.4 ④15.2 10.7 ⑤13.8 9.3 9.6 6.8 7.7 6.3 6.1 4.6 6.2 4.0 4.7 2.9 4.8 5.3 3.0 2.5 3.6 1.7 0.7 2.5 3.8 4.5

Male 18-29 yrs 111①3 5 .1 ②29.2 ③27.3 ⑤12.3 11.0 5 .8 11.7 7.1 9.1 ④16.2 7.8 8.4 2.6 5.8 5.2 6.5 5.2 5.8 3.2 1.9 1.9 5.2 1.9 1.9 ― 1.3 1.9 2.6 7.1 5.2 Male 30-39 yrs 197 ①46.2②2 5 .9 ③2 4 .4 ⑤15.2 ④20.3 11.2 12.2 8.6 8.1 7.6 7.6 5.6 4.6 5.1 7.6 6.1 3.6 4.6 6.6 5.1 4.6 4.1 2.0 2.5 1.5 2.0 0.5 0.5 7.1 1.0 Male 40-49 yrs 247 ①45.4 ②36.1 ③32.2 ⑤19.0 16.6 ④19.5 11.2 16.1 7.8 11.2 9.8 12.2 6.3 9.8 9.3 6.8 6.8 6.8 4.4 7.3 3.9 5.4 3.9 3.4 ― 2.4 0.5 1.5 2.9 2.4

Male 50-59 yrs 201 ①39.6 ③29.7 ②30.2 ④20.8 17.9 ⑤19.3 9.4 12.7 8.5 9.0 8.0 9.4 9.4 7.1 7.1 8.0 2.4 5.7 5.7 8.0 3.3 2.4 4.2 2.8 2.4 1.9 ― 3.3 3.3 1.9

Male 60 yrs or older 164 ①40.6 ③30.8 ②33.1 ④24.1 ⑤18.0 17.3 9.8 10.5 9.8 9.0 7.5 8.3 11.3 10.5 7.5 13.5 6.0 9.0 8.3 9.8 6.8 1.5 5.3 3.8 3.8 2.3 1.5 7.5 3.0 2.3 Female 18-29 yrs 148②3 5 .0 ③29.2 ①36.7 6 .7 ⑤16.7 5 .0 ④20.0 4 .2 14.2 10.8 9.2 6.7 5.0 7.5 2.5 3.3 2.5 2.5 5.0 1.7 2.5 7.5 2.5 0.8 4.2 0.8 1.7 0.8 5.8 10.0 Female 30-39 yrs 157 ①43.7 ②36.1 ③34.8 8 .2 1 0 .1 10.8 ④15.8 10.1 12.0 ⑤13.3 9.5 5.1 10.8 6.3 4.4 1 .3 7.6 1.3 4.4 1.3 3.8 5.7 3.2 1.9 3.2 1.3 1.3 1.9 3.2 3.8 Female 40-49 yrs 158①3 4 .9 ③30.8 ②34.3 12.2 12.2 ④17.4 ⑤14.0 13.4 12.2 8.1 8.1 5.2 7.0 7.0 8.7 5.8 8.7 3.5 2.3 2.9 5.2 2.9 2.9 2.3 4.1 3.5 ― 4.1 4.1 1.7 Female 50-59 yrs 118②3 2 .9 ③32.2 ①34.9 ⑤16.4 12.5 ④18.4 12.5 11.8 14.5 9.2 10.5 9.2 6.6 4.6 7.2 5.3 7.2 5.9 5.9 5.3 3.9 5.9 2.6 3.3 3.3 0.7 ― 1.3 4.6 3.9 Female 60 yrs or older 90 ①56.5 ②38.0 ③27.2 ④22.8 ⑤19.6 18.5 12.0 16.3 18.5 2 .2 12.0 9.8 9.8 5.4 8.7 9.8 4.3 9.8 7.6 4.3 10.9 4.3 4.3 5.4 3.3 2.2 ― 5.4 ― 2.2

Kanto 1,008 ①42.8 ②32.9 ③31.3 ④18.6 ⑤16.4 16.3 12.5 13.6 10.2 8.0 7.6 8.3 7.2 7.7 7.6 6.3 5.5 5.1 5.2 5.8 4.3 3.9 3.5 2.9 2.5 2.1 0.3 2.7 3.9 3.0

Kansai 371①3 4 .8 ③29.3 ②33.6 1 0 .2 ⑤13.6 10.5 12.3 7.0 11.1 ④15.4 10.2 8.1 6.8 5.5 6.4 5.8 4.7 5.3 4.4 3.2 4.0 5.6 3.3 2.9 1.7 1.7 1.8 3.1 5.2 4.8

Tokai 212 ①43.9 ②29.8 ③29.0 13.4 ④16.7 ⑤14.6 14.1 7.9 12.9 8.6 12.4 7.1 8.9 7.7 5.2 9.7 6.1 7.0 7.1 5.5 5.9 4.4 2.8 1.9 3.1 1.1 0.6 2.2 3.4 1.5

Worker (child 7 yrs and over) 477 ①41.1 ②31.6 ③30.3 ④20.6 ⑤18.6 17.3 11.3 11.8 11.7 9.1 9.4 8.9 8.4 7.1 7.5 8.6 4.6 7.0 6.0 6.0 4.6 3.0 4.6 3.1 2.8 2.2 0.7 4.4 3.6 2.3 Worker (child 2-6 yrs) 82 ①45.8 ②37.8 ③2 5 .2 13.6 11.5 ④17.4 7 .0 ⑤14.2 3 .8 5.3 3 .6 11.6 4.7 11.5 8.7 5.3 5.0 3.8 4.8 4.2 3.6 5.4 6.5 3.5 ― 0.9 ― 1.2 6.1 2.6 Worker (child 1 yr and under) 40 ①46.9 ②41.1 ③30.9 ④18.5 ⑤17.9 13.6 9.9 16.1 8.7 14.9 8.1 9.9 6.1 8.4 16.7 6.1 8.4 3.0 8.6 9.8 7.8 8.1 7.4 4.8 2.5 3.0 ― ― 7.4 8.1 Worker (married, no children) 346 ①41.4 ③31.9 ②33.1 ⑤17.0 15.3 ④19.0 11.9 11.8 11.5 8.0 9.2 8.4 6.3 8.7 6.6 6.7 4.9 5.3 5.5 5.8 4.4 4.4 3.3 2.9 2.3 1.0 0.3 2.5 2.2 2.8 Worker (unmarried) 582 ①40.5 ③31.0 ②33.0 12.4 ⑤14.4 11.1 ④14.9 10.7 11.0 11.3 8.5 6.8 7.7 5.9 6.6 4.9 6.3 4.4 4.6 4.2 4.3 4.8 1.6 2.1 2.8 2.5 0.8 1.8 4.9 2.9 Unmarried male 370 ①40.9 ②30.3 ③29.5 ④14.6 ⑤14.3 10.7 12.2 11.5 9.3 11.9 8.1 7.7 7.1 6.2 7.6 6.6 5.5 5.7 4.7 5.9 4.4 5.5 1.7 2.6 1.6 2.5 0.7 2.0 5.0 2.6 Unmarried female 20s/30s 190 ①38.9 ③29.6 ②35.7 7 .7 ⑤15.9 5 .7 ④19.8 5 .6 13.4 12.4 11.2 4.9 7.4 6.0 2.7 3.0 5.1 1.8 5.3 0.6 3.5 4.9 1.8 0.6 3.5 1.2 1.8 1.7 5.6 6.8 Unmarried female 40s and over 85 ②37.9 ③31.6 ①38.1 11.3 11.3 ④18.5 ⑤16.6 13.1 10.8 8.9 7.8 6.9 9.4 4.1 6.3 5.4 11.4 6.0 1.8 3.1 5.3 3.2 1.8 4.0 4.0 3.2 ― 3.1 5.1 3.3

Student 64①3 4 .1 ③2 3 .2 ②26.8 9 .5 13.9 2 .3 ④15.7 3 .1 7.6 ⑤14.2 13.0 6.5 6.1 5.3 ― 9.8 4.5 6.5 3.8 1.9 3.9 7.3 3.1 3.1 ― ― 3.1 4.2 7.3 13.1

Light 149 ①37.4 ②29.6 ③2 3 .4 ⑤11.7 ④17.0 5 .0 8.2 ― 3 .9 8.8 4.3 2 .3 5.3 5.5 1 .2 2.7 2.2 2.0 5.2 2.0 2.2 1.5 0.5 1.2 0.7 0.6 1.0 1.2 7.6 13.3

Middle 300 ①40.1 ③32.2 ②33.1 13.6 ④16.3 10.1 ⑤15.1 6.7 11.6 11.4 9.4 7.7 7.1 6.9 3.8 5.8 3.0 4.5 7.1 2.4 2.3 4.5 3.2 1.6 3.0 0.6 1.6 1.5 6.3 3.2

Heavy 1,142 ①41.8 ③31.8 ②32.2 ⑤17.1 15.5 ④17.2 12.6 13.9 11.4 9.5 9.3 9.0 7.7 7.5 8.6 7.3 6.5 6.0 4.8 6.2 5.3 4.7 3.7 3.3 2.5 2.4 0.5 3.3 3.2 1.9

50.0 …Figures 5 or more points or higher than the 2016 survey total are shaded.

5 0 .0 …Figures 5 or more points or lower than the 2016 survey total are shaded.

† ①, ②, ③, ④, and ⑤ are the five most important attributes (excluding "Other,""Nothing in particular," and "I didn't choose the airline") as seen by demographic and sex.

† In the survey before last (implemented in 2014) and before, "I accrue miles for the mileage program of the airline I use / the additional terms are good" was asked about as "I accrue miles for the mileage program of the airline I use,"

  and "I accrue miles for the airline I use or an affiliated airline / the additional terms are good" was asked about as "I accrue miles for the airline I use or an affiliated airline."

Number of trips taken Life stage Sex

Area of residence Sex & age

0 10 20 30 40 50

2016 survey total 2015 survey total 2014 survey total

(%)

4. Key Factors When Choosing Airlines

■Key factors when choosing airlines

(Those who arranged air tickets in advance and were involved in consideration of the travel plans/Multiple answers)

65

ドキュメント内 2016 Market Surver Of Overseas Travel (Page 59-65)

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