㈨
㈨ᩱㄽᩥ
㞳ᩓ㑅ᢥᐇ㦂ど⥺ィ ࢹ࣮ࢱే⏝◊✲ಀࡿືྥ
Perspectives on a Discrete Choice Experiment using Eye-Tracking Data
ᗋኴ㑻࣭ඖᬛᏊ Taro Ohdoko, Tomoko Imoto Email: [email protected]
ᮏ✏࡛ࡣ㸪⾲᫂㑅ዲἲࡢే⏝ࡀ㐍ࡴど⥺ィ ࢹ࣮ࢱࡘ࠸࡚㸪㞳ᩓ㑅ᢥᐇ㦂ࡢ◊✲≉ࡋ࡚ᩚ
⌮ࡋࡓࠋ᪤ ◊✲ࡣ㸪㞳ᩓ㑅ᢥᐇ㦂ࡢᵓᡂせ⣲࡛࠶ࡿࣉࣟࣇࣝᒓᛶሗࡘ࠸࡚㸪༢ὀពࢆ
ྥࡅࡿ࠸࠺どぬⓗὀព㸪☜ᐇฎ⌮ࡋ࡚࠸ࡿ࠸࠺どぬⓗฎ⌮ຍ࠼࡚㸪ࡢࡼ࠺ሗࢆ᥈ ࡍࡢ࠸࠺どぬⓗ᥈⣴࠸࠺㸱ࡘࡢᩥ⬦࡛◊✲ࡀ㐍ࡵࡽࢀ࡚࠸ࡓࠋどぬⓗὀពࡘ࠸࡚ࡣ㸪ຠ⏝
㛵ᩘὀど ᗘࢆඹኚ㔞ࡋ࡚⤌ࡳ㎸ࡴ⡆౽ἲࡀᥦࡉࢀ࡚࠸ࡓࠋどぬⓗฎ⌮ࡘ࠸࡚ࡣ㸪㑅ᢥࢭ
ࢵࢺሗࡢฎ⌮ࡘ࠸࡚㞳ᩓⓗᤊ࠼ࡿ㡯ሗฎ⌮㸪㐃⥆ⓗᤊ࠼ࡿ₯ᅾሗฎ⌮࠸࠺㸰ࡘ ࡢᡭἲࡀᥦࡉࢀ࡚࠸ࡓࠋどぬⓗ᥈⣴ࡘ࠸࡚ࡣ㸪᪉␎ᣦᶆࡢᛂ⏝㸪ດຊ᭱ᑠ㝈㑅ᢥࣔࢹࣝ㝈 ᐃྜ⌮ᛶࣔࢹࣝ࠸࠺㸱ࡘࡢᡭἲࡀᥦࡉࢀ࡚࠸ࡓࠋ௨ୖࡢᩚ⌮ࢆࡶ㸪⌧≧ࢆ㋃ࡲ࠼࡚ᚋࡢ
◊✲᪉ྥᛶࢆ⪃ᐹࡋࡓࠋ
We reviewed stated preference research using eye-tracking data, especially discrete choice experiments. The literature review identified three research topics covering the profile attributes: i.e., visual attention, which denotes aiming at attention; visual attendance, which denotes confirmable processing; and visual search, which relates to acquiring information. A simple method was proposed for visual attention, by incorporating the attentional measure into the utility function as a covariate. Two methods were proposed for visual attendance: i.e., binary information processing, which treats visual attendance as a discrete variable and latent information processing, which treats visual attendance as a continuous variable. Three methods were proposed for visual search: i.e., employing a strategy measure, satisficing choice model, and the bounded rationality model. Based on these findings, we considered future research perspectives in accordance with the current circumstances.
࣮࣮࢟࣡ࢻ㸸㞳ᩓ㑅ᢥᐇ㦂 ど⥺ィ どぬⓗὀពどぬⓗฎ⌮ どぬⓗ᥈⣴
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̿̿̿̿̿̿̿̿̿
⋊⋊༠Ꮫ⤒῭Ꮫ㒊
ᮾᏛᏛ㝔㎰Ꮫ◊✲⛉
ࡣ ࡣࡌࡵ
ィ 㔞 ᚰ ⌮ Ꮫ ➃ ࢆ Ⓨ ࡍ ࡿ 㞳 ᩓ 㑅 ᢥ ᐇ 㦂 㸦 discrete choice experiment: DCE㸧ࢆྵࡴ⾲᫂
㑅ዲἲ㸦 stated preference method㸧ࡣ㸪࣐࣮ࢣࢸ
ࣥࢢࡢ㸪㏻ᕤᏛࡸ㏻⤒῭Ꮫ㸪ᗣ⤒῭
Ꮫ㸪㈨※⤒῭Ꮫ㸪⎔ቃ⤒῭Ꮫ㸪㎰ᴗ⤒῭Ꮫࡢㅖศ 㔝࠾࠸࡚㸪㈍᪉␎ࡽᨻ⟇ⓗពᛮỴᐃࡲ࡛ᖜ ᗈࡃᛂ⏝ࡉࢀ࡚࠸ࡿ㸦 Louviere et al.
(32)㸧 ࠋ DCE ࡣ ᱁Ꮚ⾲⌧࠶ࡿ࠸ࡣᐇ㝿ࡢ㈈࣭ࢧ࣮ࣅࢫ࣓࣮ࢪ
㏆࠸㑅ᢥࢭࢵࢺ㸦 choice set/choice card㸧ࢆࣥࢣ
࣮ࢺࡢᅇ⟅⪅
iᥦ♧ࡋ࡚᭱ࡶᮃࡲࡋ࠸㑅ᢥ⫥ࢆ
⟅࠼࡚ࡶࡽ࠺ᙧᘧࢆࡿࠋ DCE ㉁ၥタィ࠾࠸࡚
ࡣ㸪㐺ษ࡞ᐇ㦂ィ⏬ἲࢆ⏝࠸࡚」ᩘࡢᒓᛶ㸦ࣉࣟ
ࣇࣝᒓᛶ㸧ࢆ⤌ࡳྜࢃࡏ࡚㑅ᢥ⫥ࡢೃ⿵㸦ࣉ
ࣟࣇࣝ㸧ࢆసᡂࡋ㸪ࡑࢀ࢜ࣉࢺ࢘ࢺ㑅ᢥ
⫥ࢆຍ࠼ࡓ㑅ᢥࢭࢵࢺࢆᵓ⠏ࡍࡿࠋ㑅ᢥࢭࢵࢺࡣ ᅇ⟅⪅4㹼 12 ࢭࢵࢺ⛬ᗘᥦ♧ࡉࢀࡿ 㸦 Balcombe et al.
(3)㸧 ࠋศᯒ࠾࠸࡚ࡣ㸪⊂❧ྠ୍ศᕸᚑ࠺ㄗ ᕪ㡯➨ I ✀ᴟ್ศᕸࢆ㸪㑅ዲᆒ㉁ᛶࢆ௬ᐃࡋ ࡓ᮲௳ࣟࢪࢵࢺࣔࢹࣝ㸦 conditional logit model: CL, McFadden
(33)㸧ࢆ➃⥴ࡋ࡚㸪㑅ዲࡢ ከᵝᛶࢆ㐃⥆ⓗ⾲⌧ࡍࡿࣛࣥࢲ࣒ࣃ࣓࣮ࣛࢱࣟ
ࢪࢵࢺࣔࢹࣝ㸦random parameter logit model:
RPL
ii, Train
(61)㸧 ࡸㄗᕪศᩓẚࡍࡿࢫࢣ࣮ࣝ
ࡢከᵝᛶࡶ⾲⌧ྍ⬟࡞㝵ᒙ࣋ࢬࣟࢪࢵࢺࣔࢹࣝ
㸦 hierarchical Bayes logit model: HBL, Train
(61)㸧 㸪 RPL ࡢᐃᘧࢫࢣ࣮ࣝࡢከᵝᛶࢆ㏣ຍࡋࡓ୍
⯡ ከ 㡯 ࣟ ࢪ ࢵ ࢺ ࣔ ࢹ ࣝ 㸦 generalized multinomial logit model, Fiebig et al.
(17)㸧 㸪㞳ᩓⓗ
⾲⌧ࡍࡿ₯ᅾࢡࣛࢫࣟࢪࢵࢺࣔࢹࣝ㸦latent class logit model 㸧࠶ࡿ࠸ࡣ᭷㝈ΰྜࣟࢪࢵࢺࣔࢹ
ࣝ㸦 finite mixture logit model㸧 㸦ᰩᒣ࣭ᗉᏊ
(30)㸧
࠸ࡗࡓ㸪ࡼࡾᰂ㌾࡞ࣔࢹࣝࡀ㛤Ⓨࡉࢀ࡚ࡁࡓ
iiiࠋ ୍᪉࡛㸪ศᯒ࠾࠸࡚ຠ⏝᭱ࡀ௬ᐃࡉࢀ࡚
ࡁࡓࡇࡢࡳ࡞ࡽࡎ㸪ࡍ࡚ࡢሗࢆฎ⌮ࡋ࡚࠸
ࡿಶேࡀ௬ᐃࡉࢀ࡚࠸ࡿⅬࡘ࠸࡚ࡶᮍゎỴࡢㄢ 㢟ࡀ࠶ࡿ㸦 Hensher et al.
(23); Hanemann
(22)㸧 ࠋ๓
⪅ࡘ࠸࡚ࡣຠ⏝᭱ࡼࡽ࡞࠸ከᵝ࡞ࣄ࣮ࣗ
ࣜࢫࢸࢵࢡࢫࡢᏑᅾࡘ࠸࡚ᩘ⌮ᚰ⌮Ꮫⓗ࡞ᐃ ᘧࡀ࡞ࡉࢀ㸦 Chorus
(11), Gilbride and Allenby
(19)㸧
iv
㸪ᚋ⪅ࡘ࠸࡚ࡣ DCE ࡢࣉࣟࣇࣝᒓᛶ㛵 ࡍࡿ㸦㒊ศⓗ࡞㸧ሗࡢ㠀ฎ⌮㸦 attribute non- attendance: AN-A㸧࠸࠺ࣄ࣮ࣗࣜࢫࢸࢵࢡࢫ ࡢྍ⬟ᛶࡀᣦࡉࢀ㸪ㄆ▱㈨※㝈ࡾࡢ࠶ࡿࣄࢺ ࡢሗฎ⌮ࡀ᳨ウࡉࢀ࡚࠸ࡿ
vࠋࡍ࡞ࢃࡕ㸪࠶ࡿࣉ
ࣟࣇࣝᒓᛶࡢሗࢆฎ⌮࣭⪃៖ࡋ࡚࠸ࡿࣄࢺ
ࢆࠕ㸦ᙜヱࣉࣟࣇࣝᒓᛶ㛵ࡍࡿ㸧ฎ⌮⪅
㸦 attender㸧 ࠖ 㸪ฎ⌮࣭⪃៖ࡋ࡞࠸㸦࠶ࡿ࠸ࡣ↓ど ࡍࡽࡋ࡚࠸ࡿ㸧ࣄࢺࢆࠕ㠀ฎ⌮⪅㸦non-attender㸧 ࠖ
ࡋ࡚ศᯒࡀྍ⬟ࢆᶍ⣴ࡍࡿศ㔝࡛࠶ࡿࠋࣄࢺ
ࡢሗฎ⌮ᵓ㐀ࢆࡼࡾ῝ࡃศᯒࡍࡿࡓࡵ㸪㏆ᖺࡢ DCE ◊✲࡛ࡣ Meißner and Decker
(34)ࢆ➃⥴
ࡋ࡚ᵝࠎ࡞ࢭࣥࢧ࣮㸪ࡾࢃࡅど⥺ィ 㸦eye- tracking: ET 㸧ࢹ࣮ࢱࢆ⏝ࡍࡿ◊✲ࡀቑຍࡋ࡚
࠸ࡿ
viࠋ Balcombe et al.
(3)ࡣ㸪㞳ᩓ㑅ᢥᐇ㦂ࡢᵓᡂ せ⣲࡛࠶ࡿࣉࣟࣇࣝᒓᛶሗࡘ࠸࡚㸪༢
ὀពࢆྥࡅࡿ࠸࠺どぬⓗὀព㸦 visual attention㸧
㸪☜ᐇฎ⌮ࡋ࡚࠸ࡿ࠸࠺どぬⓗฎ⌮㸦visual attendance㸧࠸࠺㸰ࡘࡢᩥ⬦ࢆᐃ⩏ࡋ㸪◊✲ศ 㔝ࡋ࡚ࡢ≧ἣᩚ⌮ࢆヨࡳࡓࠋᮏ✏ࡣ㸪 Balcombe et al.
(3)௨㝆ࡶ◊✲ࡀ㐍ᒎࡋ࡚࠸ࡿࡇ㸪ᡭἲࡢࡍ ࡑ㔝ࡢᗈ࠸⾲᫂㑅ዲἲࡍ࡚ࢆ⥙⨶ࡍࡿᡭἲ≉
᭷ࡢ௬ᐃࡶ」㞧᳨ウࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࡇ
ࡽ㸪 DCE ≉ࡋ࡚ᴫᛕࡢᩚ⌮◊✲ࡢ᪉ྥᛶ ࡢ᳨ウࢆ┠ⓗࡍࡿ
viiࠋ
ᮏ✏ࡢᵓᡂࡣ௨ୗࡢ࠾ࡾ࡛࠶ࡿࠋ⠇࡛ࡣ(7
⏝ࡢᇶ♏㡯'&(ࡢే⏝◊✲ࢆᴫほ㸪ᩚ⌮ࡍࡿࠋ ⠇࡛⥲ᣓࡋ㸪ᚋࡢᒎᮃࡘ࠸࡚㏙ࡿࠋ
᪤ ◊✲ᴫほ
ど⥺ィ ⨨⏝ࡢᇶ♏㡯
ET ࢹ࣮ࢱࡘ࠸࡚ࡣ◊✲ⓗ࣭ᢏ⾡ⓗ࡞୧㠃
ࡽ㐍ቃⴭࡋ࠸ࠋ◊✲ⓗഃ㠃ࡋ࡚ࡣ㸪ࡲࡎࡣᩥ❶ ㄞゎ㸦Rayner
(46)㸪Rayner
(47)㸧ࡸពᛮỴᐃ⌮ㄽ 㸦 Orquin and Loose
(40)㸧ࡢศ㔝࠾࠸࡚ࡉࢇ
⏝ࡉࢀ࡚ࡁ࡚࠾ࡾ㸪⤒῭Ꮫ࠾࠸࡚ࡶ Knoepfle et al.
(28)㸪 Wang et al.
(69)㸪 Reutskaja et al.
(48)ࢆዎ ᶵࡋ࡚✚ࡀ㐍ࢇ࡛࠸ࡿࠋET ࡢᢏ⾡ⓗ࡞
ഃ㠃ࡋ࡚ࡣ㸪ࣅࢹ࢜グ㘓ࡼࡿື⏬ⓗィ ࡽ
㉥እ⥺↷ᑕࡼࡿィ 㸪ཧຍ⪅
viiiࡢ㢌㒊ࢆᅛᐃ ࡍࡿࡶࡢࡽࡋ࡞࠸ࡶࡢ㸪ࡉࡽࡣࣇ࣮ࣝࢻ ᐇ㦂ࡶ⏝࠸ࡽࢀࡿ║㙾ᆺ㸪ィ ⢭ᗘࡢྥୖ
࠶ࢃࡏ࡚㐍ᒎࡋ࡚࠸ࡿ
ixࠋ ET ࢹ࣮ࢱࡣ㸪ࡲࡎ
ὀど㸦 fixation㸧⾪ືᛶ║⌫㐠ື࠶ࡿ࠸ࡣࢧࢵ
࣮࢝ࢻ㸦saccade㸧ูࡉࢀࡿ㸦Wedel and Pieters
(70), 㔛ᮧ
(52)㸧 ࠋ ๓⪅ࡣ 200㹼 500 ࣑ࣜ⛊ࡢ㛫
㸪ほᐹ⪅
xࡀタᐃࡋࡓ㛵ᚰ㡿ᇦ㸦area of interest:
AOI㸧␃ࡍࡿ║⌫㐠ືࢆ㸪ᚋ⪅ࡣ 20㹼 40 ࣑
ࣜ⛊ࡢ㛫ὀどⅬ㛫ࢆ⛣ືࡍࡿ㧗㏿࡞║⌫㐠ືࢆ
ᣦࡍ
xiࠋࡑࡢ㸪▖Ꮝᣑᙇ㸦pupil dilation㸧ࡸ
▐┠㸦 blink㸧ࡶ ET ࢹ࣮ࢱࡋ࡚ྲྀᚓࡉࢀࡿࠋ ET ࢹࣂࢫ࡛ ᐃࡉࢀࡓࠕ⏕ࠖࡢࢹ࣮ࢱࡣḞᦆ್ࡸ
ࣀࢬࡀฎ⌮ࡉࢀࡓࡢࡕ㸪║⌫㐠ືࡢ㏿ᗘࢆ⏝࠸
࡚タᐃࡉࢀࡿ㜈್ࡼࡗ࡚ὀどࢧࢵ࣮࢝ࢻศ
ࡉࢀࡿࠋ㜈್ࡣཧຍ⪅㛫࡛ほᐹ⪅ࡀ୍ᐃタᐃ ࡍࡿ㸪 Van der Lans et al.
(65)ࡣཧຍ⪅ู᥎ ᐃࡍࡿᡭἲࢆ㛤Ⓨࡋࡓࠋ
ET ࢹ࣮ࢱࡋ࡚⋓ᚓࡉࢀࡓሗࡣ」ᩘࡢど⥺
ᗘࡋ࡚ィ⟬࣭⏝ࡉࢀࡿࠋ௨ୗᣲࡆࡿࡼ࠺
ࡁࢃࡵ࡚ከᵝ࡛࠶ࡾ㸪◊✲ࡢᩥ⬦ࡼࡗ࡚ࢀ
ࡀ㐺ࡋ࡚࠸ࡿࡢࡘ࠸ุ࡚᩿ࡀồࡵࡽࢀࡿ
xiiࠋ 1) ึᅇὀど๓⤒㐣㛫㸦time to first fixation:
TFF 㸧 㸸 AOI ࢆ᭱ึぢࡿࡲ࡛ࡢ⤒㐣㛫ࠋ 2) ึᅇὀど๓ὀど㢖ᗘ㸦 fixations before㸧 㸸 AOI
ࢆ᭱ึぢࡿ๓ࡢὀどⅬࡢᩘࠋ
3) ึᅇὀど⤒㐣㛫㸦first fixation duration:
FFD㸧 㸸 AOI ࢆ᭱ึぢࡓࡁࡢ㸪᭱ึࡢὀど
Ⅼ࠾ࡅࡿ⤒㐣㛫ࠋ
4) ὀど⤒㐣㛫㸦 fixation duration: FD㸧 㸸 AOI ෆࡢὀどⅬࡍ࡚ࡘ࠸࡚ࡢ⤒㐣㛫ࠋ 5) ⥲ὀど⤒㐣㛫㸦total fixation duration:
TFD㸧 㸸 FD ࡢྜィࠋ
6) ὀど㢖ᗘ㸦 fixation count: FC㸧 㸸 AOI ෆࡢὀ どⅬࡢᩘࠋ
7) ␃㛫㸦visit duration: VD㸧 㸸 AOI ෆ
␃ࡋࡓ᭱ึࡢὀどⅬࡽ᭱ᚋࡢὀどⅬࡲ࡛ࡢ
␃㛫ࠋ␃ࡣ AOI ෆὀどⅬࡀධࡗ࡚
ࡽฟࡿࡲ࡛ࢆ 1 ᅇᐃ⩏ࡍࡿࠋࢧࢵ࣮࢝ࢻࢆ
ྵࡳ㸪ᚲ↛ⓗ FD ௨ୖ࡞ࡿࠋ
8) ⥲␃㛫㸦total visit duration: TVD㸧 㸸 VD ࡢྜィࠋ
9) ␃㢖ᗘ㸦visit count: VC㸧 㸸 AOI ␃ࡋࡓ ᅇᩘࠋᚲ↛ⓗ FC ௨ୗ࡞ࡿࠋ
10) ὀどྜ㸦percentage fixated: PF㸧 㸸 AOI ὀ どⅬᩘࡀయࡢὀどⅬᩘ༨ࡵࡿྜࠋᑡ࡞
ࡃࡶ 1 ᅇὀどࡋࡓࡇࡀ᮲௳࡞ࡿࠋ ࡇࡢ㸪(7 ࢹ࣮ࢱィ ᐇ㦂୰㸪 㸦࢙࢘ࣈ㸧
⏬㠃ࢆࢡࣜࢵࢡࡋࡓࡇ㝶ࡍࡿど⥺ ᗘࡶ࠶
ࡿࠋࡲࡓ㸪ὀどࢧࢵ࣮࢝ࢻࡢศ㢮ࡽど⥺⛣ື
㸦JD]HVKLIWLQJ*6㸧ࡶᐃ⩏࡛ࡁࡿࠋ
㞳 㞳ᩓ㑅ᢥᐇ㦂ࡢే⏝◊✲ᴫほ
DCE ET ࡢే⏝◊✲ࡘ࠸࡚㸪➹⪅ࡽࡀ ࠕ (discrete) choice experiment㸩 eye trackingࠖ
ࠕ conjoint analysis㸩eye tracking᳨ࠖ⣴⏝ㄒࢆ
タᐃࡋ࡚ᶵᲔⓗ᳨⣴ࡋ㸪ࡑࡢᘬ⏝ᩥ⊩ࡸཧ⪃ᩥ
⊩ࡶ᳨ウࡋࡓࡇࢁ㸪 ⾲1 ࡢ 22 ㄽᩥࡀᚓࡽࢀࡓࠋ ᮏ⠇࡛ࡣᇶ♏ⓗ㡯ࢆᴫほࡍࡿࠋ
ࡲࡎ㸪ᶆᮏࢧࢬࡘ࠸࡚㸪ᐊෆᐇ㦂ࡀᚲ㡲࡛
࠶ࡿ⌧≧ࡽ㸪 100 ௨ୖࡢཧຍ⪅ࢆ㞟ࡵ࡚࠸ࡿࢣ
࣮ࢫࡣẚ㍑ⓗᑡ࡞࠸ࠋBalcombe et al.
(4)ࡣ㸪ࡶ
ࡋศᯒ⢭ᗘࢆྥୖࡉࡏࡿࡇࢆ⪃࠼ࡿ࡞ࡽࡤ ET ࢹ࣮ࢱࢆ DCE ࡢศᯒ㏣ຍࡍࡿࡼࡾࡶᶆᮏࢧ
ࢬࢆࡁࡃࡍࡿ᪉ࡀㄪᰝ㈝⏝ࡢ㠃࡛ࡶຠ⋡ⓗ࡛࠶
ࡾ㸪㠀ᖖࠕᡭ㛫ࠖࡢࡿ ET ࢹ࣮ࢱࢆ㞟ࡍ
ࡿ࡞ࡽࡤ㸪ET ࢹ࣮ࢱ࡛ࡋ࡛ࡁ࡞࠸ពᛮỴᐃ㐣
⛬ศᯒࡸ DCE ࡢࣉࣟࣇ࣭ࣝ㑅ᢥࢭࢵࢺタィ
ࡘ࠸࡚ྲྀࡾ⤌ࡴࡁᙇࡋ࡚࠸ࡿࠋ⌧㸪 Grebitus et al.
(20)ࡸ Spinks and Mortimer
(56)ࡣᒓ ᛶᩘࢆኚ࠼ࡿࡇ࡛㑅ᢥࢭࢵࢺࡢ」㞧ᛶࢆኚࡉ ࡏ㸪 㑅ᢥࢭࢵࢺタィ◊✲ࡘ࠸࡚ྲྀࡾ⤌ࢇ࡛࠸ࡿࠋ
ࡲࡓ㸪ホ౯ᑐ㇟㈈ࡋ࡚ࡣ㸪㣗ရࡢࡀᅽಽ
ⓗከ࠸ࠋᙜึࡣ Wedel and Pieters
(70)ࡢᥦၐࡍ
ࡿどぬⓗ࣐࣮ࢣࢸࣥࢢ㸦 visual marketing㸧◊
✲ࡋ࡚᥎㐍ࡉࢀ࡚ࡁࡓࡇࡀ࠺ࡀ࠼ࡿࠋࡶࡕ
ࢁࢇཧຍ⪅ẚ㍑ⓗ࡞ࡌࡳࡢ῝࠸㣗ရࢆ⏝࠸࡚◊
✲᪉ἲぢ㏻ࡋࢆࡘࡅࡓ࠸࠸࠺ࡶ࠶ࢁ࠺ࠋ ࡍ࡛㸪 Behe et al.
(7)ࡸ Palma et al.
(42)ࡣᅬⱁศ 㔝㸪 Krucien et al.
(29)㸪 Ryan et al.
(51)㸪 Spinks and Mortimer
(56)ࡣ་⒪ᗣศ㔝㸪Oviedo and Caparros
(41)ࡣ⎔ቃศ㔝㐺⏝ࢆヨࡳ࡚࠾ࡾ㸪ᚋ ࡣࡉࡽᑐ㇟ศ㔝ࢆᣑࡍࡿࡇࡀᮇᚅࡉࢀࡿࠋ
(7ࢹ࣮ࢱࡋ࡚ࡣ㸪 ༙ᩘࡢ◊✲ࡀ」ᩘࡢど
⥺ ᗘࢆే⏝ࡋࡓࠋࡾࢃࡅ
$UHVHWDOࡣ᪤ ◊
✲ࢆᘬ࠸࡚ྛ ᗘពࡅࢆᐃ⩏ࡋ࡚࠸ࡿࠋࡍ
࡞ࢃࡕ㸪
3)ࡣಶே⏤᮶ࡢࢺࢵࣉࢲ࢘ࣥせ⣲ 㸦3LHWHUV
DQG:HGHO
㸧どぬⓗ่⃭⏤᮶ࡢ࣎ࢺ࣒ࢵࣉせ
⣲㸦:ROIH
㸧᪉㛵㐃ࡍࡿ ᗘࡋ࡚㸪
9&
79'ࡣどぬⓗ࡞ሗࡢฎ⌮㏿ᗘࢆ♧၀ࡍࡿ ᗘ 㸦
&OLIWRQHWDO㸧ࡋ࡚㸪7)) ࡣὀពᤕᤊᛶࢆ♧
၀ࡍࡿ ᗘ㸦
+ROPTYLVWHWDO㸧ࡋ࡚㸪
)&ࡣどぬ
ⓗ࡞ሗࡢฎ⌮㛵㐃ࡍࡿ ᗘ㸦
-DFREDQG.DUQ +ROPTYLVWHWDO㸧ࡋ࡚㸪
7)'ࡣ
$2,ሗᢳฟ ࡢ㞴᫆ᗘ㛵㐃ࡍࡿ ᗘ㸦+ROPTYLVWHWDO
㸧ࡋ
࡚㸪ࡑࢀࡒࢀ⏝࠸࡚࠸ࡿࠋከᵝ࡞ഃ㠃ࢆྠ◊✲
ࡋࡼ࠺࠸࠺ヨࡳࡢ୍᪉㸪
'&(࣭
(7ే⏝◊✲࠾
࠸࡚⾜ື⛉Ꮫⓗ࡞᭷ຠ⌮ㄽ㸦
HIIHFWLYHWKHRU\㸧[LLLࡀ
㊊ࡋ࡚࠸ࡿࡓࡵ⥲ྜⓗุ᩿ࡏࡊࡿࢆᚓ࡞࠸
ྍ⬟ᛶࡶ࠶ࡿࠋ
◊✲┠ⓗࡼࡿศ㢮
ᮏ⠇࡛ࡣ㸪ᚓࡽࢀࡓ 22 ㄽᩥࢆ┠ⓗูศ㢮ࡍ
ࡿࠋ Balcombe et al.
(3)㸪Balcombe et al.
(4)ࡣ DCE ࡢࣉࣟࣇࣝᒓᛶሗࡘ࠸࡚㸪༢ὀពࢆྥ
ࡅࡿどぬⓗὀព⪃៖࣭ẚ㍑ࡋࡓ☜ᐇゝ࠼ࡿ
どぬⓗฎ⌮ࢆศࡅࡓࠋ
1) どぬⓗὀព㸸 Balcombe et al.
(3)ࡣ FD ࡛ᒓᛶ
ูᤊ࠼ࡿࡋࡓࠋ
2) どぬⓗฎ⌮㸸㑅ᢥࢭࢵࢺࡢ㑅ᢥ⫥࠾࠸࡚
ᙜヱᒓᛶࡀὀどࡉࢀࡿࡇࠋ Balcombe et al.
(3)ࡣ FC ุ࡛᩿ࡉࢀࡿࡋࡓࠋ
๓⪅ࡣᚋ⪅ࡢᚲせ᮲௳࡛࠶ࡾ㸪ࣉࣟࣇࣝᒓᛶ
ࢆ⪃៖ධࢀࡓࡢ࠸࠺AN-A ⌧㇟ࡣどぬⓗ
ฎ⌮ᴫᛕࡀᑐᛂࡍࡿࠋࡑࡇ࡛㸪ὀពࢆ᫂♧ࡍࡿࡶ
ࡢࡣどぬⓗὀព㸪ฎ⌮ࡸ AN-A ⌧㇟ࢆ᫂♧ࡍࡿࡶ
ࡢࡣどぬⓗฎ⌮ศ㢮ࡍࡿࡇࡋࡓࠋ
⾲㸯㸸DCE/ET ే⏝◊✲ࡢᇶ♏㡯ᩚ⌮
ⴭ⪅ ᶆᮏࢧࢬ ホ౯ᑐ㇟㈈ ᒓᛶᩘ 㑅ᢥ
ࢭࢵࢺᩘ ⏝ETࢹ࣮ࢱ どぬⓗὀព
Ares et al.(2) 71 ࣮ࣚࢢࣝࢺࣛ࣋ࣝ 3 8 FC, TFD, VD, TFF, PF
Behe et al.(7) 101 ᅬⱁ⏝ⰼ༘ 3 9 TFF, FC, TFD, TVD
Bialkova et al.(8) 64 ࣮ࣚࢢࣝࢺࣛ࣋ࣝ 3 15 FD, FC
Grebitus et
al.(20) 130 ࢳ࢙ࢲ࣮ࢳ࣮ࢬ 3, 5 12 TVD
Meißner et
al.(35) 60 ࢝ࢵࣉࢥ࣮ࣄ࣮
࣓࣮࣮࢝ 6 12 FC
Meyerding and
Merz(36) 73 ࣜࣥࢦ 3 49 FD, FC, VD, VC
Meyerding(37) 17 ࢺ࣐ࢺ 3 25 VD, VC, FD, FC
Orquin et al.(39) 68 ࣇ࣮ࣝࢶ࣮ࣚࢢࣝࢺ 6 48 PF
Oviedo and
Caparros(41) 105 ࢱࣜ࢝ࢧ࣐ࢶࡢ
᳃ᯘ⏕ࣉࣟࢢ࣒ࣛ 3 4 TVD
Van Loo et
al.(66) 81 ࢢࣛ࢘ࣥࢻࢥ࣮ࣄ࣮ 5 8 FC, FD どぬⓗฎ⌮
Ares et al.(2) 71 ࣮ࣚࢢࣝࢺࣛ࣋ࣝ 3 8 FC, TFD, VD, TFF, PF
Balcombe et
al.(3) 40 ᾘ㈝⪅≀౯ᣦᩘ
ィ ᾘ㈝㈈ 5 12 FC, FD Balcombe et
al.(4) 99 ࣌ࣃࣟࢽࣆࢵࢶ 5 24 VD
Krucien et al.(29) 58 ᗣ⏕άࣉࣟࢢ࣒ࣛ 7 12 TFD
Meyerding(37) 17 ࢺ࣐ࢺ 3 25 VD, VC, FD, FC
Spinks and
Mortimer(56) 32 㛵⠇③╀ࡢ
⒪ἲ 3㹼8 8 VC
Van Loo et
al.(67) 81 ࢢࣛ࢘ࣥࢻࢥ࣮ࣄ࣮ 5 8 FC, TFD どぬⓗ᥈⣴
Meißner and
Decker(34) 62 ࢝ࢵࣉࢥ࣮ࣄ࣮
࣓࣮࣮࢝ 6 12 FC㸪GS
Palma et al.(42) 108 ほⴥ᳜≀ 3 9 FFD, FC, TVD,
㸰ᅇ┠ࡢὀど
Ryan et al.(51) 58 ᗣ⏕άࣉࣟࢢ࣒ࣛ 6 10 FC, GS
Stüttgen et
al.(57) 75 ࣥࢫࢱࣥࢺ
ࢾ࣮ࢻࣝ 3 15 FC, GS Uggeldahl et
al.(63) 190 ∵ࡦࡁ⫗ 4 12 GS
Yang et al.(73) 70 ࣛࢵࣉࢺࢵࣉPC 6 20 VC, ὀど⨨㛫㊥㞳㸪
GS
᫂
Greenacre(21) 30 ⯟✵ࣉࣛࣥ 4 28 FD
ὀ㸯㸸Ares et al.(2)Meyerding(37)ࡣどぬⓗὀពどぬⓗฎ⌮ࡢ᪉ศ㢮ࡋࡓࠋ
ὀ㸰㸸Meißner et al.(35)ࡣࣅ࣮ࢳࣂࢣ࣮ࢩࣙࣥ◊✲ࡸ㸪Yang et al.(73)ࡢࣛࢵࣉࢺࢵࣉPCࡢ◊✲ྜࢃࡏ㸪ᕪ
␗ࡢ᳨ドࡶሗ࿌ࡋ࡚࠸ࡿࠋ
ࡲࡓ㸪ᾘ㈝⪅⾜ືࡢពᛮỴᐃࡣどぬⓗ࡞ሗ ࡢ᥈⣴ࡶ㔜せ࡞せ⣲ࡢࡦࡘ࡛࠶ࡿࠋᾘ㈝⪅⾜ື
ㄽ࠾࠸࡚ࡣ㸪ၥ㢟ㄆ㆑㸦 problem recognition㸧 㸪
ሗ᥈⣴㸦information search㸧㸪㑅ᢥ⫥ホ౯ 㸦 alternative evaluation㸧 㸪ពᛮỴᐃ࠸࠺ὶࢀ
࡛ᩚ⌮ࡉࢀ㸦 Mothersbaugh and Hawkins
(38)㸧 㸪
࣐࣮ࢣࢸࣥࢢࡢᩥ⬦࡛ࡣどぬⓗ᥈⣴㸦visual search㸧ࡶ◊✲ࡉࢀ࡚࠸ࡿ㸦Wedel and Pieters
(71)㸧 ࠋ DCE ࡢࣉࣟࣇࣝᒓᛶሗࡘ࠸࡚ࡶ㸪 どぬⓗ
᥈⣴࣎ࢺ࣒ࢵࣉせ⣲ࡢᙳ㡪ࡽὀពࡀྥࡅ
ࡽࢀࡿࡇࡸ㸪┠ⓗᛂࡌ࡚⪃៖ධࢀࡿ࠸࠺
ࢺࢵࣉࢲ࢘ࣥせ⣲ࡢᙳ㡪ࡽどぬⓗ᥈⣴ࢆ⾜࠺ࡇ
ࡀ⪃࠼ࡽࢀ㸪どぬⓗὀពࡸどぬⓗฎ⌮ࡣู
どぬⓗ᥈⣴ࡢ᳨ウࡀḞࡏ࡞࠸ࠋ ࡑࡇ࡛ᮏ✏࡛ࡣ㸪 DCE ࡢࣉࣟࣇࣝᒓᛶሗ㛵ࡍࡿどぬⓗ᥈
⣴ࡘ࠸࡚⊂❧ศ㢮ࡍࡿࡇࡋࡓࠋ
࡞࠾㸪௨ୗࡢᐃᘧ࠾ࡅࡿඹ㏻せ⣲ࡋ࡚☜
⋡ⓗ㸦ࣛࣥࢲ࣒㸧ຠ⏝ࣔࢹࣝ㸦random utility model㸧ࢆࡇࡇ࡛ᩚ⌮ࡍࡿࠋࣛࣥࢲ࣒ຠ⏝ࣔࢹࣝ
࡛ࡣ㸪㛫᥋ຠ⏝㛵ᩘࡢほᐹྍ⬟࡞☜ᐃ㡯ほᐹ
ྍ⬟࡞ㄗᕪ㡯ࡢຍἲศ㞳ᛶ㸪ࣃ࣓࣮ࣛࢱࡢ⥺ᆺᛶ 㸦 linear-in-parameter㸧ࢆ௬ᐃࡋࡓࣔࢹࣝࡀከࡃ
⏝࠸ࡽࢀࡿ
xivࠋ
୬୨୲ൌ ୬୨୲ ɂ୬୨୲ൌ Ⱦɉᇱ୬୨୩୲
࠙ Eq.1ࠚ
ࡣᅇ⟅⪅ಶே㸪ࡣ㑅ᢥ⫥࠶ࡿ࠸ࡣᥦ♧ࡉࢀࡓࣉ
ࣟࣇࣝ㸪
ࡣ」ᩘᅇࡢ㉁ၥࢆࡍࡿ'&(ࡢ㑅ᢥ ࢭࢵࢺࡢ㡰ᗎ㸪
୬୨୩୲ࡣᅇ⟅⪅
㑅ᢥࢭࢵࢺ
࡛ᥦ
♧ࡉࢀࡓࣉࣟࣇࣝ
ࡢᒓᛶࢆ⾲ࡍ⾜ิ㸪Ⱦࡣࣉࣟࣇࣝᒓᛶࡢ㝈⏺ຠ⏝࣋ࢡࢺࣝ㸪
ɉࡣᅇ⟅⪅
ࡢᏛ⩦࣭⑂ປࡢຠᯝࡀ⌧ࢀ㸪࠶ࡿ࠸ࡣྠࡌ㑅ᢥ≧
ἣ࠾࠸࡚ࡲࡗࡓࡃྠᵝᅇ⟅ࡍࡿࡢ࠸࠺㑅 ዲࡢ୍㈏ᛶ㸦
FRQVLVWHQF\㸧ࡸ'&(㉁ၥࢀࡔࡅ
☜ಙࢆࡶࡗ࡚ᅇ⟅ࡋ࡚࠸ࡿࡢ࠸࠺㑅ዲࡢ☜ᐇ
ᛶ㸦
FHUWDLQW\㸧㛵㐃ࡍࡿᣦࡉࢀ࡚࠸ࡿࢫࢣ࣮ࣝࢆ⾲⌧ࡍࡿࢫ࣮࡛࢝ࣛ࠶ࡿ㸦'H6KD]R DQG
)HUPR6FDUSDHWDO&]DMNRZVNL HWDO㸧 ࠋ
ど どぬⓗὀព
Ares et al.
(2)ࡣ㸪Epstein et al.
(15)ࡀ㛤Ⓨࡋࡓྜ
⌮ⓗ⤒㦂ⓗᑻᗘ 㸦 rational experiential inventory㸧
ࢆ⏝࠸㸪ᅉᏊศᯒ₯ᅾࢡࣛࢫศᯒࢆే⏝ࡋ࡚ᅇ
⟅⪅ࢆ┤ほⓗ࣭⤒㦂ⓗᛮ⪃ࢫࢱࣝศᯒⓗ࣭ྜ
⌮ⓗᛮ⪃ࢫࢱࣝศࡅࡓࡢࡕ㸪ࢡࣛࢫࢱ࣮ࡈ
CL ࡛ຠ⏝㛵ᩘࢆ᥎ᐃࡋ㸪๓㏙ࡢど⥺ ᗘࡢ㞟 ィ⤖ᯝྜࢃࡏ࡚ሗ࿌ࡋࡓࠋ㑅ᢥࢭࢵࢺࡋ࡚⌧
ᐇⓗ࡞ࢹࢨࣥࡢ࣮ࣚࢢࣝࢺࣛ࣋ࣝࢆୖୗ㸰ࡘ
⤌ࡳྜࢃࡏ㸪࢜ࣉࢺ࢘ࢺࡢ࡞࠸ᙉไⓗ㑅ᢥᐇ㦂 㸦 forced choice experiment㸧ࢆᐇࡋࡓࠋᒓᛶ
ࡣヲ⣽࡞ᰤ㣴ᡂศ⾲♧㸪ࣛ࣋ࣝ⫼ᬒ㸪ᰤ㣴ᡂศࡢ ከᐻࢆ㉥࣭㯤࣭⥳࡛♧ࡍಙྕࢩࢫࢸ࣒㸦 traffic light system: TLS㸧ࢆ⏝࠸࡚㸪ヲ⣽࡞グ㏙ࢢࣛࣇ
ࢵࢡ࡞࣓࣮ࢪࡢ᪉ࡢᙳ㡪ࢆศᯒࡋ࡚࠸ࡿࠋศ ᯒ⤖ᯝࡋ࡚㸪┤ほⓗ࣭⤒㦂ⓗᛮ⪃ࢫࢱࣝࡢ᪉ ࡀయࡋ࡚どぬⓗὀពᗘྜࡀప࠸ࡇࢆ♧၀ࡋ ࡓࠋࡲࡓ㸪㑅ዲ㡰ᗎど⥺ ᗘ㡰ᗎ୍⮴ࡀぢࡽ
ࢀ࡞ࡗࡓ
xvࠋࡍ࡞ࢃࡕ㸪ྜ⌮ⓗᾘ㈝⪅ࡢ௬ᐃࡣ ࡇࡢࡼ࠺࡞どぬⓗὀព≉ᛶࡢ㐪࠸ࢆそ࠸㞃ࡋ࡚ࡋ
ࡲ࠺ࡇ㸪㑅ዲど⥺ ᗘࡀศᯒୖ࡛⿵ⓗᙺ
ࢆᯝࡓࡍࡇࡀ♧၀ࡉࢀࡿࠋ
Grebitus et al.
(20)ࡣ㛫᥋ຠ⏝㛵ᩘࢆ௨ୗࡢࡼ࠺
௬ᐃࡋࡓࠋ
୬୨୲ൌ Ⱦ୬ᇱ୬୨୩୲ ɀ୬ᇱ୶ౠౡ౪ ɂ୬୨୲
࠙ Eq.2ࠚ ࡇࡇ࡛ɀ
୬ᇱ୶ౠ౪ࡣ㸪ᥦ♧ࡉࢀࡓࣉࣟࣇࣝᒓ ᛶ㸦ࡢỈ‽㸧ࡈ
79'ࡋ࡚ィ ࡉࢀࡓ್ࢆ⏝
࠸㸪
53/࡛᥎ᐃࡍࡿࠋࣟࢪࢵࢺࣔࢹࣝ࡞㞳ᩓ㑅 ᢥࣔࢹ࡛ࣝࡣ୍⯡ⓗ㛫᥋ຠ⏝㛵ᩘࡘ࠸࡚ຠ⏝
ᕪࢆᐃᘧࡍࡿࡇࡽ㸪ᛶู࡞ࡢඹኚ㔞ࡣࣉ
ࣟࣇࣝᒓᛶࡢᕪ㡯ࡋ࡚ᑟධࡋ࡞ࡅࢀࡤ
┦ẅ࣭ᾘཤࡉࢀ࡚ࡋࡲ࠺ࡇࢁࢆ㸪
79'ࡣࣉࣟࣇ
ࣝᒓᛶ㸦ࡸ㸪ࡑࡢỈ‽㸧ࡈ␗࡞ࡿࡓࡵ
┤᥋ⓗ㛫᥋ຠ⏝㛵ᩘᑟධ࡛ࡁࡿᛶ㉁ࢆ⏝ࡋ
࡚࠸ࡿࠋ ᮏ✏࡛ࡣࡇࢀࢆどぬⓗὀពࡘ࠸࡚ࡢ ࠕ⡆
౽ἲࠖᐃ⩏ࡍࡿࠋ࢜ࣉࢺ࢘ࢺࢆྵࡴ᱁Ꮚ⾲⌧
ࡢ㑅ᢥࢭࢵࢺࢆ⏝࠸࡚ᶆ‽ⓗ࡞
53/ẚ㍑ࡋࡓ
ࡇࢁ㸪ᑐᩘᑬᗘ㸪ఝỴᐃಀᩘ㸦0F)DGGHQ¶V
ʌ㸧ࡶᨵၿࡍࡿࡇࢆ♧ࡋࡓࠋ
どぬⓗฎ⌮
๓㏙ࡢ Ares et al.
(2)ࡢ⤖ᯝࡣどぬⓗฎ⌮ࡶྵ
ࡲࢀࡿࡓࡵ㸪ࡇࡇ࡛ࡶゐࢀ࡚࠾ࡃࠋศᯒⓗ࣭ྜ⌮
ⓗᛮ⪃ࢫࢱࣝࡢຠ⏝㛵ᩘࡣヲ⣽࡞ᰤ㣴ᡂศ⾲
♧࣭ࣛ࣋ࣝ⫼ᬒ࣭ TLS ࡢ㡰ᙳ㡪ࢆཷࡅ࡚࠸ࡓ୍
᪉࡛㸪┤ほⓗ࣭⤒㦂ⓗᛮ⪃ࢫࢱ࡛ࣝࡣࣛ࣋ࣝ⫼
ᬒ࣭ヲ⣽࡞ᰤ㣴ᡂศ⾲♧࣭ TLS ࡢ㡰࡛࠶ࡗࡓࠋࡲ
ࡓ㸪 TLS ࡢࡳ㸪ᛮ⪃ࢫࢱ࡛ࣝどぬⓗฎ⌮ࢆ♧၀ ࡍࡿ ᗘ᭷ពᕪࡀぢࡽࢀࡎ㸪 ࡑࢀ௨እࡣ┤ほⓗ࣭
⤒㦂ⓗᛮ⪃ࢫࢱࣝࡢ᪉ࡀ㸪どぬⓗฎ⌮ࡢ㔞࣭㏿
ᗘࡶᗘྜࡀపࡗࡓࠋࡲࡓ㸪㑅ዲ㡰ᗎど⥺
ᗘ㡰ᗎ୍⮴ࡀぢࡽࢀ࡞ࡗࡓࠋࡇࡢࡇࡽ㸪
ྜ⌮ⓗᾘ㈝⪅ᐃࡉࢀࡿศᯒⓗ࣭ྜ⌮ⓗᛮ⪃ࢫ ࢱࣝࡢᅇ⟅⪅ࡣ㸪ᐈほⓗ࡞ሗ࡛࠶ࡿヲ⣽࡞グ
㍕ࢆዲࡳ㸪యࢆࡼࡾከࡃ㸪ࡼࡾ㧗㏿どぬⓗฎ
⌮ࡋ࡚࠸ࡿࡇࡀ♧၀ࡉࢀࡿࠋࡍ࡞ࢃࡕ㸪ྜ⌮ⓗ
ᾘ㈝⪅ࡢ௬ᐃࡣࡇࡢࡼ࠺࡞どぬⓗฎ⌮≉ᛶࢆࡶそ
࠸㞃ࡋ࡚ࡋࡲ࠺ࡇ㸪㑅ዲど⥺ ᗘࡀศᯒୖ࡛
⿵ⓗᙺࢆᯝࡓࡍࡇࡀ♧၀ࡉࢀࡿࠋࡓࡔࡋ㸪
TLS ࡘ࠸࡚ࡣᛮ⪃ࢫࢱ࡛ࣝᕪࡀ࡞࠸ࡓࡵ㸪ど ぬⓗฎ⌮ࡢ⿵ຓࡋ࡚ᛶ᱁≉ᛶᙳ㡪ࡉࢀ࡞࠸⾲
♧᪉ἲ࠸࠺ྍ⬟ᛶࡀ࠶ࡿࠋ
Balcombe et al.
(3)ࡣ㸪Reutskaja et al.
(48)࡞ࡢ
⤒῭Ꮫศ㔝ࡢ ET ࢹ࣮ࢱࡢྲྀࡾᢅ࠸ࡀ㸪1 ᅇ┠ࡢ ὀどࡣ↓సⅭⓎ⏕ࡋ࡚࠾ࡾ㸪2 ᅇ௨ୖὀどࡋ࡚
࠸࡞ࡅࢀࡤཧຍ⪅ࡀどぬⓗฎ⌮ࡋ࡚࠸ࡿࡣゝ࠸
㞴࠸ࡋ࡚ࡁࡓࡇࢆཷࡅ㸪ᙜヱࣉࣟࣇࣝᒓ ᛶࡘ࠸࡚2 ᅇ௨ୖὀどࡍࡿࡇ㸪 ࡉࡽࡣ DCE ࡢ㑅ᢥࢭࢵࢺᩘࡢ༙ศࢆ㉸࠼࡚ὀどࡋ࡚࠸ࡿࡇ
ࡢ2 Ⅼ࡛ฎ⌮⪅㠀ฎ⌮⪅ࢆ㞳ᩓⓗศࡍࡿᡭ ἲࢆヨࡳࡓࠋࡉࡽ㸪ཧຍ⪅ࡀ⪃៖ධࢀ㸦࡞
ࡗ㸧ࡓࣉࣟࣇࣝᒓᛶࡘ࠸࡚ࣥࢣ࣮ࢺࡢ㉁
ၥ࡛┤᥋ࡓࡎࡡࡿ⾲᫂ AN-A㸦 Stated AN-A㸧ࢹ
࣮ࢱࡶ⤫ྜࡋ㸪௨ୗࡢࣔࢹࣝࢆ HBL ࡛᥎ᐃࡋࡓࠋ
୬୨୲ൌ ൫Ԅ୬୲ᇱ ሺڄሻ൯ȥ୬Ⱦ୬ᇱ୬୨୩୲ ɂ୬୨୲ǡȥ୬ൌ ൫Ɉ୬ଵǡڮ ǡ Ɉ୬൯ǡ Ɉ୬୩ൌ ς ሺͳ െ Ɂୡ ୡ୬୩ ɒୡɁୡ୬୩ሻ
࠙ Eq.3ࠚ ࡇࡇ࡛➨ 1 ᘧࡢ
൫Ԅ୬୲ᇱ ሺڄሻ൯ࡣཝᐦṇ್ࡢไ⣙ࢆ⨨࠸ࡓࢫࢣ࣮ࣝ
xvi࡛㸪ಶேู࣭㑅ᢥࢭࢵࢺู
᥎ᐃࡉࢀ㸪Ꮫ⩦࣭⑂ປຠᯝࡢ᥎ᐃࡢࡳ࡞ࡽࡎ ET ࢹ࣮ࢱࡢᑟධࡶྍ⬟࡞ࡼ࠺㛵ᩘࡉࢀ࡚࠸ࡿࠋ
➨2 ᘧࡣ➨ 3 ᘧ࡛ᑟධࡉࢀࡓ AN-A ᣦᶆࢆ⤫ྜࡋ ࡓᑐゅ⾜ิ࡛㸪ࣉࣟࣇࣝᒓᛶࡢᕪ㡯ࢆ⾲
⌧ࡍࡿࠋ➨ 3 ᘧࡣ㸪⾲᫂ AN-A 㸪 ET ࢹ࣮ࢱ࡛ᐃ⩏
ࡉࢀࡿ㠀ฎ⌮⪅࠸ࡗࡓ ✀
ሺ ൌ ͳǡ ڮ ǡ ሻࡢAN- A ᣦᶆࢆ⤫ྜࡋ࡚⏝࠸ࡿࡇࢆ⾲ࡍࠋ
ɒୡࡣฎ⌮⪅
㠀ฎ⌮⪅ࢆศࡅࡿࣃ࣓࣮ࣛࢱ࡛࠶ࡾ㸪
ɒୡൌ ͳ᥎ᐃࡉࢀࢀࡤ๓⪅ᚋ⪅࡛㝈⏺ຠ⏝㐪࠸ࡣ࡞ࡃ㸪
ɒୡൌ Ͳ᥎ᐃࡉࢀࢀࡤᚋ⪅ࡢ㝈⏺ຠ⏝ࡀ0 ࡞ࡿ
ࡼ࠺タィࡉࢀ࡚࠸ࡿࠋ
Ɂࡣ⾲᫂ AN-A ࢹ࣮ࢱࡸ
ET ࢹ࣮ࢱࡽ㞳ᩓⓗᓧูࡉࢀࡿฎ⌮⪅࣭㠀ฎ
⌮⪅ࢆ⾲ࡍࢲ࣑࣮ኚᩘ࡛㸪
Ɂ ൌ ͳࡀᚋ⪅ࢆ♧ࡍࠋTLS ࢆタᐃࡋ㸪࢜ࣉࢺ࢘ࢺࢆྵࡵࡓ᱁Ꮚ⾲⌧ࡢ 㑅ᢥࢭࢵࢺࢆ⏝࠸࡚ศᯒࡋࡓࡇࢁ㸪 1) ᒓᛶ㛫࡛
TLS ࡢⰍࡢ㑅ዲ㐪࠸ࡀ࡞࠸ࡇ㸪2) 㸲␒┠
ࡽ㸳␒┠ࡢ㑅ᢥࢭࢵࢺ⮳ࡿࡲ࡛ࡣᏛ⩦ຠᯝ㸪ࡑ
ࢀ௨㝆ࡣ⑂ປຠᯝࡀぢࡽࢀࡓ୍᪉࡛㸪ࡑࡢຠᯝ
ど⥺ ᗘࡀᙳ㡪ࡋ࡚࠸࡞࠸ࡇ㸪3) ET ࢹ࣮ࢱ࡛
ᐃ⩏ࡋࡓ AN-A 㸦visual AN-A㸧⾲᫂ AN-A ᪉ࡢຠᯝࡀ᭷ព᥎ᐃࡉࢀ㸪๓⪅ࡢ᪉ࡀࡁ࡞ຠ
ᯝࢆ᭷ࡋ࡚࠸ࡓࡇࢆ♧ࡋࡓࠋࡓࡔࡋ㸪 AN-A ࢆ ௬ᐃࡋ࡚࠸࡞࠸ᶆ‽ⓗ࡞ศᯒࣔࢹࣝࡢẚ㍑ࡣ⾜
ࡗ࡚࠸࡞࠸ࠋࡲࡓ㸪ɒ
ୡࡢタᐃୖ㸪㑅ዲࡀᏑᅾࡋ࡞
࠸ࡇ㑅ዲࡣ࠶ࡿࡀどぬⓗฎ⌮ࢆࡋ࡞࠸ࡇࡢ
⤡ࡀᠱᛕࡉࢀࡿࠋ
Balcombe et al.
(4)ࡣ㸪 Balcombe et al.
(3)ࡢ ET ࢹ
࣮ࢱࡼࡿ㞳ᩓⓗฎ⌮⪅࣭㠀ฎ⌮⪅ࡢᐃ⩏ࢆ⏝࠸
࡚どぬⓗฎ⌮ࡢ᳨ウࢆ㐍ࡵࡿࡓࡵ㸪ࡼࡾᰂ㌾㑅 ዲࡢከᵝᛶࢆ⾲⌧ࡍࡿࣔࢹࣝࢆᥦࡋࡓࠋ 1) RPL
ࡸ HBL ࡀ┤᥋ⓗࡣᅇ⟅⪅ࢆࢡࣛࢫࢱࣜࣥࢢࡋ
࡚࠾ࡽࡎ㸪ṇつศᕸ㏆࠸ࡼ࠺࡞༢ᓠⓗ㑅ዲᵓ㐀 ᥎ᐃ࡞ࡾࡀࡕ࡞ࡇ㸪 2) LCL ࠶ࡿ࠸ࡣ᭷㝈ΰྜ
ࣟࢪࢵࢺࣔࢹࣝࡣࢡࣛࢫࢱࣜࣥࢢࡼࡗ࡚」ᓠⓗ
㑅ዲᵓ㐀᥎ᐃࡶ᫂♧ⓗ࡛ࡁࡿ୍᪉࡛㸪ࢡࣛࢫࢱ
࣮ࡢᩘ㸦ࢡࣛࢫᩘ㸧ࡣሗ㔞つ‽࡞ࢆ⏝࠸࡚እ
⏕ⓗỴᐃࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࡇࡽ㸪ࡾࢃ
ࡅᶵᲔᏛ⩦࡛ᛂ⏝ࡀ㐍ࡴࣀࣥࣃ࣓ࣛࢺࣜࢵࢡ࣋
ࢬࢆ⏝࠸ࡓ࣋ࢬ↓㝈ΰྜࣟࢪࢵࢺࣔࢹࣝ
㸦 Bayesian infinite mixture logit model: BIML㸧
xvii
ࢆ㛤Ⓨࡋࡓࠋ BIML ࡣࢡࣛࢫᩘ᥎ᐃ㑅ዲ㞳 ᩓⓗ࠶ࡿ࠸ࡣ」ᓠⓗᵓ㐀ࢆチࡋ࡚㑅ዲࢫࢣ࣮ࣝ
ࡢከᵝᛶࡢ᥎ᐃࢆྠ⾜࠺ࡓࡵ㸪ᚑ᮶ࡢࣔࢹࣝ
ࡢไ⣙ࢆࡉࡽ⦆ࡍࡿࠋ࢜ࣉࢺ࢘ࢺࡢ࡞࠸ᙉ ไⓗ㑅ᢥᐇ㦂ࡋ࡚㸰㸰ࡢ᱁Ꮚ⾲⌧ࡢ㑅ᢥࢭ
ࢵࢺࢆ⏝࠸㸪 BIML ࡼࡗ࡚ಶேูࡢ㝈⏺ຠ⏝ࢆ
᥎ᐃࡋࡓ࠺࠼࡛ ET ࢹ࣮ࢱࡢ┦㛵ࢆ᳨ドࡋࡓࠋ ศᯒࡢ⤖ᯝ㸪 ET ࢹ࣮ࢱᨭᡶពᛮ㢠㸦 willingness to pay㸧ࡣ┦㛵㛵ಀࡀ♧၀ࡉࢀࡓࡀࡁࢃࡵ࡚ᙅ
࠸ࡇࢆ♧ࡋࡓࠋࡇࡇࡽ㸪㑅ዲど⥺ ᗘࡀศ ᯒୖ࡛⿵ⓗᙺࢆᯝࡓࡍࡇࡀ♧၀ࡉࢀࡿࠋࡓ ࡔࡋ㸪ᶆ‽ⓗ࡞ศᯒࣔࢹࣝࡢẚ㍑ࡣ⾜ࡗ࡚࠸࡞
࠸ࠋ
Van Loo et al.
(67)ࡣ㸪どぬⓗฎ⌮ࡘ࠸࡚
Balcombe et al.
(3)ࡢ᪉ἲពᛶࡀᏑᅾࡍࡿᣦ
ࡋ㸪ᙜヱᒓᛶࡘ࠸࡚ 2 ᅇ௨ୖࡢὀど࠸࠺᮲
௳ࢆ 1 ᅇ௨ୖ⦆ࡋ࡚᮲௳ࡢ㐪࠸ࡼࡿẚ㍑ศ ᯒࢆヨࡳ࡚࠸ࡿࠋᐇ㦂࡛ࡣ㸪⌧ᐇⓗ࡞ࢢࣛ࢘ࣥࢻ ࢥ࣮ࣄ࣮ࡢࣃࢵࢡ࣓࣮ࢪ㏆࠸㑅ᢥࢭࢵࢺ࢜
ࣉࢺ࢘ࢺࢆྵࡵ࡚ཧຍ⪅ᥦ♧ࡋࡓࠋศᯒࡢ⤖
ᯝ㸪どぬⓗฎ⌮ࡢᐃ⩏ᡭἲࡀኚࢃࢀࡤᐇ㦂⪅ࡢฎ
⌮⪅࣭㠀ฎ⌮⪅ࡢࡾᙜ࡚ࡀኚࢃࡿࡇ㸪 Balcombe et al.
(3)ࡢ᪉ἲ࡛ࡣࣔࢹࣝ㐺ྜᛶࡀୗࡀ
ࡾ㸪ࢧࣥࣉࣝࢆฎ⌮⪅ᐃ⩏ࡋࡓ⤖ᯝຎࡾᚓ
ࡿࡇࢆ♧ࡋࡓࠋࡇࡢ⤖ᯝࡣ㸪 Balcombe et al.
(3)ࡢฎ⌮⪅࣭㠀ฎ⌮⪅ࡢᐃ⩏㝈⏺ࡀ࠶ࡿࡇࢆ♧
၀ࡍࡿࠋ
Krucien et al.
(29)ࡣ CL ࢆ㋃くࡋ㸪 Balcombe et al.
(3)ࡢ᪉ἲࢆ㞳ᩓⓗ࡞ฎ⌮⪅ࡢᐃ⩏ࡼࡿ㸦どぬ
ⓗ㸧㡯ሗฎ⌮㸦 binary information processing㸧
ࣔࢹࣝ⨨ࡅࡓ࠺࠼࡛㸪㐃⥆ⓗฎ⌮⪅ࢆᤊ
࠼ࡿࡃ㸪ࣁࣈࣜࢵࢻ㑅ᢥࣔࢹࣝ㸦hybrid choice model, Ben-Akiva et al.
(5)㸧ࢆᛂ⏝ࡋ࡚௨ୗ
ࡢࡼ࠺࡞㸦どぬⓗ㸧₯ᅾሗฎ⌮㸦latent information processing㸧ࣔࢹࣝࢆᥦࡋࡓࠋ
୬ൌ ଵሺ୬ሻ Ʉ୬ǡ Ʉ୬̱ሺͲǡͳሻǡ ୬୩ൌ ଶሺ୬୩ǡ ୬ሻ ɘ୬୩ǡ ɘ୬୩̱ሺͲǡ ɐ୩ሻǡ
୬୨୲ൌ ଷሺήሻ ൌ ሺڄሻ ሺȾ୩ Ƚ୩୬ሻ୬୨୩୲
୩
ɂ୬୨୲ǡ ɂ୬୨୲̱
࠙ Eq.4ࠚ ࡇࡇ࡛㸪
୬ࡣಶேࡢሗฎ⌮㔞ࢆ⾲ࡍ₯ᅾኚᩘ࡛
࠶ࡾ㸪
୬ࡣಶேᒓᛶࡢຠᯝࢆ⾲ࡍࠋ
୬୩ࡣ FD 㸦
୬୩㸧㐃⥆ⓗ࡞ሗฎ⌮㔞࡛ᐃ⩏ࡉࢀࡿ₯ᅾ ኚᩘ㸦 latent variable㸧࡛࠶ࡿࠋࡑࡋ࡚㸪ሗฎ⌮
㔞ࡣ
୬୨୲࡛ᐃ⩏ࡉࢀࡿ㛫᥋ຠ⏝㛵ᩘࡶᙳ㡪ࢆཬ
ࡰࡍࠋࢫࢣ࣮ࣝࡶ
ሺڄሻࡢࡼ࠺㛵ᩘࡉࢀ࡚࠸ࡿࠋ௨ୖࡢࡼ࠺ሗฎ⌮㔞ࡢ㐃⥆ᛶࢆ☜ಖࡋࡓ
࠺࠼࡛㸪ຠ⏝ど⥺≉ᛶࡢ᪉ሗฎ⌮㔞ࡀᙳ 㡪ࢆཬࡰࡍࣔࢹࣝࢆᵓ⠏ࡋࡓࠋ Krucien et al.
(29)࡛ ࡣ 1) ᚑ᮶ࡢሗฎ⌮ࢆ௬ᐃࡋ㸪ࢫࢣ࣮ࣝ
㑅 ᢥ ࢭ ࢵ ࢺ 㡰 ࢆ ᑟ ධ ࡋ ࡓ ศ ᩓ ᆒ ୍ 㸦 heteroscedastic㸧 CL㸪 2) 1)ࡢ RPL ᥎ᐃ㸪 3)
ሗฎ⌮ࡢ௬ᐃࢆ⦆ࡋࡓ㡯ሗฎ⌮ࣔࢹࣝ
4) ₯ᅾሗฎ⌮ࣔࢹࣝࡢ᥎ᐃ⤖ᯝࢆẚ㍑ࡋ࡚
࠸ࡿࠋ࢜ࣉࢺ࢘ࢺࢆྵࡴ᱁Ꮚ⾲⌧ࡢ㑅ᢥࢭࢵࢺ
ࢆ⏝࠸࡚ศᯒࡋࡓࡇࢁ㸪 1) ࡼࡾ 3)㸪 3)ࡼࡾ 4)ࡢ ᪉ࡀ㸪ᑐᩘᑬᗘ㸪࣋ࢬሗ㔞つ‽ࡶᨵၿࡍࡿ
ࡇࢆ♧ࡋࡓ
xviiiࠋ
どどぬⓗ᥈⣴
どぬⓗ᥈⣴ศ㢮ࡉࢀࡿࡶࡢࡋ࡚㸪ࡢࡼ࠺
ど⥺ࢆ⛣ືࡉࡏ࡚ሗࢆ⋓ᚓࡋ࡚࠸ࡿ࠸࠺
᥈⣴ⓗど⥺⛣ື㸪ࡇ࡛ሗ⋓ᚓࢆṆࡵࡿ
࠸࠺᥈⣴Ṇࡢ㸰ࡘࡀ⪃࠼ࡽࢀࡿࠋ
᥈⣴ⓗど⥺⛣ື㛵ࡍࡿ◊✲ࡋ࡚㸪 Palma et al.
(42)ࡣ㸰㸰ࡢ⏬㠃ࡢࢭࣝศࢆ⾜࠸㸪ࡑࢀࡒࢀ
ࡢࢭࣝᐇ㝿ࡢほⴥ᳜≀ࢆ㑅ᢥ⫥ࡋ࡚㓄⨨ࡋࡓ DCE ࢆᐇࡋࡓࠋࡑࡢ⤖ᯝ㸪 ࠕ Zࠖᆺࡢど⥺⛣ື㸪 ࡍ࡞ࢃࡕᕥୖࡽྑୖ㸪ࡑࡢᚋᕥୗࡽྑୗ
ど⥺ࡀື࠸ࡓࡇࢆ☜ㄆࡋࡓࠋ
Meißner and Decker
(34)ࡸ Ryan et al.
(51)ࡣ㸪 Böckenholt and Hynan
(9)ࡀᐃ⩏ࡋࡓ᪉␎ᣦᶆ 㸦 strategy measure㸧ࢆ⏝ࡋ࡚㸪᱁Ꮚ≧ࡢ DCE
㉁ၥࡘ࠸࡚㸯ࡘࡢ㑅ᢥ⫥ෆࡢᒓᛶࢆẚ㍑ࡍࡿ
㸦ࢱࢸࡢ㸧ど⥺⛣ືഴྥ࡛࠶ࡿ㑅ᢥ⫥᪉ྥࡢどぬ
ⓗ᥈⣴㸪」ᩘࡢ㑅ᢥ⫥㛫ࡢᒓᛶỈ‽ࢆẚ㍑ࡍࡿ
㸦ࣚࢥࡢ㸧ど⥺⛣ືഴྥ࡛࠶ࡿᒓᛶ᪉ྥࡢどぬⓗ
᥈⣴ࢆศᯒࡋࡓࠋ Meißner and Decker
(34)ࡣ㸪࢜ࣉ
ࢺ࢘ࢺࢆྵࡴ㑅ᢥࢭࢵࢺࢆ⏝࠸࡚᪉␎ᣦᶆࢆࢢ
ࣛࣇࣉࣟࢵࢺࡋ㸪᭱ึࡢ㑅ᢥࢭࢵࢺࡣ㸦ࣚࢥࡢ㸧 ᒓᛶ᪉ྥど⥺ࢆືࡋ㸪ᚋ࡞ࡿࡘࢀ࡚㸦ࢱ ࢸࡢ㸧㑅ᢥ⫥᪉ྥኚࡍࡿࡇࢆ♧ࡋࡓࠋ᭱ึ
ࡣᒓᛶࣞ࣋ࣝࢆẚ㍑ࡋ㸪ᚋ࡞ࡿࡘࢀ࡚ࡦࡘ ࡦࡘࡢ㑅ᢥ⫥ࢆぢ࡚ࡽᒓᛶࣞ࣋ࣝࢆẚ㍑ࡍࡿ
ࡇࡀ♧၀ࡉࢀࡿࠋࡲࡓ㸪㑅ᢥࢭࢵࢺ㡰࡛ኚࡋ
࡚࠸ࡿࡇࡽ㸪 Ꮫ⩦࣭⑂ປຠᯝࡢྍ⬟ᛶࡀ࠶ࡿࠋ
୍᪉࡛ Ryan et al.
(51)ࡣ㸪࢜ࣉࢺ࢘ࢺࢆྵࡴ㑅ᢥ ࢭࢵࢺࢆ⏝࠸࡚㸪ᒓᛶ࠾ࡼࡧ㑅ᢥ⫥⨨ࡢࣛࣥࢲ
࣒ࡾᙜ࡚ࡶ⾜ࡗ࡚ࡼࡾヲ⣽᳨ウࡋ࡚࠸ࡿࠋࡲ
ࡎ㸪ᑐᩘࡋࡓ FC ࢆศᯒࡋࡓࡇࢁ㸪ୖࡽୗ
㸪ᕥࡽྑྥ࠺ど⥺ࣂࢫࢆ☜ㄆࡋࡓࠋ
ࡲࡓ㸪᪉␎ᣦᶆࢆศᯒࡋࡓࡇࢁ㸪㑅ᢥࢭࢵࢺࡀ ᚋ࡞ࡿࡘࢀ࡚㸪ᒓᛶ᪉ྥࡢどぬⓗ᥈⣴ࡀቑຍ ࡍࡿࡇࢆ☜ㄆࡋࡓࠋࡇࡕࡽࡣ Meißner and Decker
(34)ࡣ㏫ࡢ⤖ᯝ࡞ࡿࡓࡵ㸪ᚋࡢࡉࡽ࡞
ࡿ᳨ドࡀᚅࡓࢀࡿࠋ
ࡲࡓ㸪 Uggeldahl et al.
(63)ࡣ㸪 㸦ࣚࢥࡢ㸧㑅ᢥ⫥
᪉ྥࡢ᪉␎ᣦᶆࢆᶆ‽ࡋࡓ GS ࢹ࣮ࢱ࡛ᐃ⩏ࡋ
࡚ศᯒࡋࡓࠋ⌧ᐇⓗ࡞ࣃࢵࢡධࡾࡢ∵ࡦࡁ⫗⏬ീ
ࢆᥦ♧ࡋࡓࢧࣥࣉࣝ᱁Ꮚ⾲⌧ࡢ㑅ᢥࢭࢵࢺࢆᥦ
♧ࡋࡓࢧࣥࣉࣝศࡋ࡚ᐇ㦂ࡋ࡚࠸ࡿࠋศᯒ
㝿ࡋ࡚ࡣ㸪ࢫࢣ࣮ࣝ᪉␎ᣦᶆ㸪ᅇ⟅㛫㸪☜ಙ
ࢆࡶࡗ࡚ DCE ㉁ၥᅇ⟅ࡋࡓࢆၥ࠺⾲᫂☜ಙ ᑻᗘ 㸦 certainty scale㸧 ࢆᑟධࡋࡓศᩓᆒ୍ RPL
ࢆ⏝࠸ࡓࠋศᯒࡢ⤖ᯝ㸪᭱ࡶࣔࢹࣝ㐺ྜᗘࡀ㧗
ࡗࡓࡢࡣ᪉␎ᣦᶆࡢࡳࢆࢫࢣ࣮ࣝᑟධࡋࡓࣔࢹ
࡛ࣝ࠶ࡗࡓ୍᪉㸪᪉␎ᣦᶆᅇ⟅㛫ࢆ㏣ຍᑟධ ࡋࡓࣔࢹ࡛ࣝࡣ㸪๓⪅ࡀ᭷ព࡞ࡽࡎ㸪ᚋ⪅ࡀ᭷
ព࡞ࡗࡓࠋࡇࡢ⤖ᯝࡽ Uggeldahl et al.
(63)ࡣ ᪉␎ᣦᶆᅇ⟅㛫ࡢ┦㛵ྍ⬟ᛶࢆᣦࡋ࡚࠸ࡿࠋ ᥈⣴Ṇ㛵ࡍࡿ◊✲ࡋ࡚㸪Stüttgen et al.
(57)
ࡀ㸪どぬⓗࢥࣥࢪࣙࣥࢺᐇ㦂㸦 visual conjoint experiment㸧ྡࡅࡓࣉࣟࢪ࢙ࢡࢱే⏝ᐊෆᐇ 㦂 ࡛ 㸪 Simon
(55)ࡢ ᥦ ၐ ࡋ ࡓ ດ ຊ ᭱ ᑠ 㝈 㸦 satisficing㸧㑅ᢥࣔࢹࣝࡢ᭷ຠᛶࢆྫྷࡋࡓࠋ࣍
࣮ࣝࢻ࢘ࢺ㸦holdout㸧᳨ド⏝ࡋ࡚ᐇ㦂⏝࠸
ࡓ㑅ᢥࢭࢵࢺࡢ୰ࡽ㸱ࡘ㑅ᐃࡋ㸪ᶆ‽ⓗ࡞ CL
ண ⢭ᗘࢆẚ㍑ࡋࡓࡇࢁ㸪ດຊ᭱ᑠ㝈ࣔࢹ
ࣝࡀᑐᩘᑬᗘࢆᨵၿࡍࡿࡇࢆ☜ㄆࡋࡓࠋࡇࡢ◊
✲ࡽࡣ㸪᥈⣴Ṇ㛵ࡍࡿ᫂♧ⓗ࡞ᐃᘧࡢᚲ せᛶࡀ࠺ࡀ࠼ࡿࠋ
ࡲࡓ㸪 Yang et al.
(73)ࡣ㸪 Simon
(54)ࢆࡶሗ
⋓ᚓ࠾ࡅࡿ㝈ᐃྜ⌮ᛶ㸦bounded rationality㸧
ࣔࢹࣝࢆ᳨ウࡋࡓ Gabaix et al.
(18) CL ࢆ㋃くࡋ㸪 㑅ᢥ⫥ࡽᚓࡽࢀࡿຠ⏝㸪ሗࢆ᥈ࡋ⥆ࡅࡿ
࠸࠺᥈⣴㐣⛬ࡽᚓࡽࢀࡿຠ⏝ࢆ᫂♧ⓗᐃᘧ
ࡍࡿࡇ࡛⤫ྜⓗศᯒࡍࡿᡭἲࢆᥦࡋࡓࠋ
ە
۔
ۓ ൣ୮୰୭ୢ୳ୡ୲ሺሻ ɂሺሻ൧ǡ
ୱୣୟ୰ୡ୦ሺሻ ɂሺሻ
ሺڄሻ ൣ୮୰୭ୢ୳ୡ୲ሺᇱሻ ɂሺᇱሻ൧൩
ۙ
ۘ
ۗ ǡ
ሺڄሻ ൌ ൞
ୣ୶୮ሺஞେሻ ሺିଵሻୣ୶୮ሺሻାୣ୶୮ሺஞେሻቚ
୪ୀ୪כ
ୣ୶୮ሺሻ ሺିଵሻୣ୶୮ሺሻାୣ୶୮ሺஞେሻቚ
୪ஷ୪כ
࠙ Eq.5ࠚ
ࡇࡇ࡛㸪
ሼήሽෆ㒊ࡢ➨1 㡯
୮୰୭ୢ୳ୡ୲ሺሻ ɂሺሻࡣ⌧Ⅼ࡛ᚓࡽࢀ࡚࠸ࡿሗࢆ௨࡚㑅ࢇࡔ㑅ᢥ⫥
ࡽᚓࡽࢀࡿຠ⏝࡛㸪ሗࢆࡇࢀ௨ୖ㏣ຍⓗ
᥈⣴ࡋ࡞࠸≧ែ࡛᭱ࡢຠ⏝ࡀᚓࡽࢀࡿ㑅ᢥ⫥ࢆ
㑅ࡪࡇ┦ᙜࡋ㸪➨ 2 㡯ࡢ࠺ࡕ
ୱୣୟ୰ୡ୦ሺሻ ɂሺሻࡣ⌧Ⅼ࡛ᚓࡽࢀ࡚࠸ࡿሗ㏣ຍࡋ࡚どぬⓗ᥈⣴ࡍࡿ㐣⛬ࡽᚓࡽࢀࡿຠ⏝ࢆ⾲ࡍࠋ➨㸰㡯 ࡢṧࡾࡢ
σ ሺڄሻ ൣ୮୰୭ୢ୳ୡ୲ሺᇱሻ ɂሺᇱሻ൧ࡣ㸪㏣ຍⓗどぬⓗ᥈⣴ࡋࡓ┤ᚋ㑅ࢇࡔ㑅ᢥ⫥
ᇱࡽ
ᚓࡽࢀࡿཧຍ⪅ࡀணࡍࡿᑗ᮶ⓗᮇᚅຠ⏝࡛࠶
ࡿࠋᑗ᮶ⓗᮇᚅຠ⏝ࡣᒓᛶࣞ࣋ࣝ
ሺͳǡ ڮ ǡ ሻ㛵ࡍ
ࡿಙᛕࡀ㏣ຍⓗሗ㔞࡛᭦᪂ࡉࢀࡿࡇࢆ♧ࡍ☜
⋡࢙࢘ࢺ
ሺڄሻ࡛ຍ㔜ᖹᆒࡉࢀࡿࠋሺڄሻ࡛⾲⌧ࡉࢀࡿಙᛕࡣ㸪▷ᮇグ᠈୰࠶ࡿᒓᛶࣞ࣋ࣝ㸦
㸧 ࡀᐇ㝿ࣉࣟࣇࣝ⾲⌧ࡉࢀ࡚࠸ࡿ┿ࡢᒓᛶ
ࣞ࣋ࣝ㸦
כ㸧୍⮴ࡍࡿಙࡌ࡚࠸ࡿࡇ࡛࠶ࡾ㸪
ሺڄሻࡢ᫂♧ⓗ࡞ᑟධࡀ▷ᮇグ᠈ࡽࡢሗᢳฟ
ࡢ☜ᐇᛶࢆ⾲⌧ࡋ࡚࠸ࡿࠋ
ሺڄሻࡣVC ࡀᑟධ ࡉࢀ㸪グ᠈୍⮴ࡋࡓࡁࡣ㏣ຍⓗ୍༢ど
⥺ࡀ␃ࡍࡿࡇ࡛ಙᛕࡀᙉࡉࢀࡿ୍᪉㸪୍⮴
ࡋ࡞࠸ࡁࡣఱࡶᙉࡉࢀ࡞࠸ࠋࡉࡽ㸪㏣ຍ
ⓗどぬⓗ᥈⣴ࡋ࡞࠸➨ 1 㡯ࡢࢣ࣮ࢫ㏣ຍⓗ
どぬⓗ᥈⣴ࡍࡿ➨ 2 㡯ࡢࢣ࣮ࢫ࡛ຠ⏝್ࢆẚ㍑ࡋ
࡚ࡁ࡞᪉࡛Ỵᐃࡍࡿᾘ㈝⪅ീࡀ
ሼήሽࡋ࡚
௬ᐃࡉࢀࡿࠋ࢜ࣉࢺ࢘ࢺࡢ࡞࠸ᙉไⓗ㑅ᢥᐇ㦂 ࢹ࣮ࢱࡘ࠸࡚㸪㸱ࡘࡢศᯒࣔࢹࣝࢆ࣋ࢬ᥎ᐃ ࡋ㸪ࣔࢹࣝ㐺ྜᛶࢆẚ㍑ࡋࡓࠋࡍ࡞ࢃࡕ㸪 1) ᶆ‽
ⓗ࡞ຠ⏝᭱㸪 2) ຠ⏝᭱どぬⓗ᥈⣴ࢆእ
⏕ኚᩘࡋ࡚ᑟධ㸪 3)ຠ⏝᭱どぬⓗ᥈⣴ࢆ
ෆ⏕ⓗᑟධ
xixࡢ㸱ࡘ࡛࠶ࡿࠋẚ㍑ࡢ㝿ศᯒ
ྵࡵࡿ㑅ᢥࢭࢵࢺᩘࢆ㸶㹼㸯㸴ࡲ࡛ኚࡉࡏ㸪࣍
࣮ࣝࢻ࢘ࢺ᳨ド⏝ᥦ♧㑅ᢥࢭࢵࢺࡢ๓㞟 ࡋࡓ DCE ㉁ၥࡢᅇ⟅⤖ᯝࢆண ࡛ࡁࡿ࠸
࠺እⓗጇᙜᛶࢆ㸪ⓗ୰⋡㸦 hit rate 㸧ࢆ⏝࠸᳨࡚ド ࡋ࡚࠸ࡿࠋศᯒࡢ⤖ᯝ㸪 3) ࡢࣔࢹࣝ㐺ྜᛶࡀ㧗࠸
୍᪉㸪ศᯒ⏝࠸ࡿ㑅ᢥࢭࢵࢺᩘࡀቑຍࡍࡿࡘ
ࢀ࡚ྛࣔࢹࣝ㐺ྜᛶࡢᕪ␗ࡀ⦰ᑠࡋ࡚࠸ࡃࡇࢆ
♧ࡋࡓࠋẚ㍑ⓗᑡ࡞࠸㑅ᢥࢭࢵࢺᩘ࡛࠶ࡿ㝿
ࡣ≉㸪どぬⓗ᥈⣴㐣⛬ࢆຠ⏝㛵ᩘෆ⏕ⓗᑟ ධࡍࡁࡇࢆ♧၀ࡋ࡚࠸ࡿࠋ
࠾ ࠾ࢃࡾ
ᮏ✏࡛ࡣ㸪 DCE ET ࢹ࣮ࢱࢆే⏝ࡋࡓ᪤ ◊
✲ࡢᴫᛕᩚ⌮ࢆヨࡳࡓࠋࡑࡢ⤖ᯝ㸪ࡲࡎ㸪ᐊෆᐇ 㦂కࡗ࡚ࢧࣥࣉࣝࢧࢬࡀ㝈ᐃⓗ࡛࠶ࡿࡇ㸪 㣗ရࡀከ࠸ࡇ㸪」ᩘࡢど⥺ ᗘࢆ⏝ࡍࡿ
ࡇ࡛ከᵝ࡞ഃ㠃ࢆྠ◊✲ࡍࡿヨࡳࡀ࠶ࡿ୍᪉
࡛⾜ື⛉Ꮫⓗ࡞᭷ຠ⌮ㄽࡢḞዴྍ⬟ᛶࡶ࠶ࡿࡇ
ࢆ☜ㄆࡋࡓࠋࡲࡓ㸪ಶูࡢ◊✲ࡣどぬⓗὀព࣭ど ぬⓗฎ⌮࣭どぬⓗ᥈⣴ࡋ࡚ᩚ⌮ࡉࢀ㸪ࡑࢀࡒࢀ
ከᵝ࡞ど⥺ ᗘࡢ㐺⏝ࡸᐃᘧࡀヨࡳࡽࢀ࡚ࡁ ࡓ⌧≧ࡶ☜ㄆࡋࡓࠋ㝈ᐃⓗ࡞ࢧࣥࣉࣝࢧࢬࡘ
࠸࡚㸪⌧≧ࢆ㋃ࡲ࠼࡚ ET ࢹ࣮ࢱࢆ㞟ࡍࡿࡇ
࡛ࡋ࡛ࡁ࡞࠸ពᛮỴᐃ㐣⛬◊✲ࡸ DCE ࡢ㉁ၥ タィ◊✲ࢆ⾜࠺ࡁ࡛࠶ࡿ࠸࠺ᙇࡀ࠶ࡿ୍᪉
࡛㸪 StickyByTobii
xx࡞࠾࠸࡚࢙࢘ࣈ࣓࡛࢝ࣛ
ET ࢹ࣮ࢱࢆィ ࡍࡿࡶᥦࡉࢀ࡚࠾ࡾ㸪 ᚎࠎ≧ἣࡣ⦆ྥ࠺⪃࠼ࡽࢀࡿࠋ㣗ရ
ࡀከ࠸ࡇࡘ࠸࡚㸪ࡍ࡛ࡢᑐ㇟ᣑ
ࡀࡳࡽࢀࡿࡇࡽ㸪ࡼࡾᗈ⠊◊✲✚ࡀ㐍ࡴ
ࡶࡢᮇᚅࡉࢀࡿࠋ
ࡋࡋ࡞ࡀࡽ㸪ಶูࡢ◊✲ࢆᴫほࡍࡿ㸪ࡲࡎ ᚲせࡉࢀࡿࡢࡣ DCE ࣭ ET ࢹ࣮ࢱే⏝◊✲࠾
ࡅࡿ⾜ື⛉Ꮫⓗ࡞᭷ຠ⌮ㄽࡢᵓ⠏ᐃᘧ࡛࠶ࢁ
࠺ࠋ Wedel and Pieters
(70)ࡣどぬⓗ࣐࣮ࢣࢸࣥࢢ ࡢᩥ⬦࡛㸪࣮࣡࢟ࣥࢢ࣓ࣔࣜෆᏑᅾࡍࡿሗⓗ
᭷┈ᛶ㸦 informativeness㸧࣎ࢺ࣒ࢵࣉせ⣲࡛
࠶ࡿ㢧ⴭᛶ㸦saliency㸪ࢧ࢚ࣜࣥࢩ࣮㸧ࡀὀព≉ᛶ 㸦attentional property㸧ᙳ㡪ࡍࡿὀព⌮ㄽ 㸦 theory of attention㸧ࢆᵓ⠏ࡋࡓࠋᵓᡂせ⣲ࡣ௨
ୗࡢࡼ࠺ᩚ⌮ࡉࢀࡿࠋ
1) ሗⓗ᭷┈ᛶ㸸ᾘ㈝⪅ࡢ┠ⓗࡼࡿどぬⓗ㛗 ᮇグ᠈ࡢάᛶ㸪どぬⓗ㛗ᮇグ᠈ࡢࢸࣥࣉࣞ
࣮ࢺ⏕ᡂࡢ㡰⏕ࡌࡿࢺࢵࣉࢲ࢘ࣥせ⣲ࡀᙳ 㡪ࡋ࡚㸪ὀព≉ᛶࡢㄪᩚࢆ⾜࠺࣮࣡࢟ࣥࢢ࣓
ࣔࣜせ⣲ࠋ
2) 㢧ⴭᛶ㸸࣎ࢺ࣒ࢵࣉせ⣲࡛࠶ࡿどぬⓗ࣐࣮
ࢣࢸࣥࢢ่⃭ࡀᙳ㡪ࡍࡿ࣮࣡࢟ࣥࢢ࣓ࣔࣜ
せ⣲ࠋ
3) ὀព≉ᛶ㸸ᑐ㇟ࡸ✵㛫ⓗ࡞㑅ᐃὀពࡢᣦྥ
ᛶࠋ
4) ࣮࣡࢟ࣥࢢ࣓ࣔࣜ㸸Ꮫ⩦࣭㑅ዲᙧᡂ࣭㑅ᢥ࡞
ࡢୗὶຠᯝࢆ⏕ࡴ▷ᮇグ᠈ᴫᛕࠋどぬⓗ㛗ᮇ グ᠈ࡢ᭦᪂ࡶ⾜࠺ࠋ
5) ║⌫㐠ື㸸 ET ࢹ࣮ࢱࡀ ᐃࡍࡿὀどࢧࢵ࢝
࣮ࢻࠋ࣮࣡࢟ࣥࢢ࣓ࣔࣜࡢ᭦᪂ࡶ⾜࠺ࠋ ࡍ࡞ࢃࡕ㸪࣮࣡࢟ࣥࢢ࣓ࣔࣜࡣຠ⏝ど⥺≉ᛶࡢ 㸰ࡘࡑࢀࡒࢀᙳ㡪ࢆ࠼࡚࠸ࡿࠋࡲࡓ㸪 Van Loo et al.
(67)ࡼࡿ㡯ሗฎ⌮ࣔࢹࣝࡢពᛶ㛵 ࡍࡿᣦ㸪 Krucien et al.
(29)ࡢᥦࡍࡿ₯ᅾሗฎ
⌮ࣔࢹࣝࡢ᭷ຠᛶࢆ⪃࠼ྜࢃࡏࡿ㸪༢ὀពࢆ
ྥࡅࡿ࠸࠺どぬⓗὀពࡽ⪃៖ධࢀࡿ࠸࠺
どぬⓗฎ⌮⮳ࡿ㐃⥆㔞ࡋ࡚ࠕᗈ⩏ࡢどぬⓗฎ
⌮ࠖࢆᐃ⩏ࡋ㸪ຠ⏝㛵ᩘࡢእ㒊࡛࣮࣡࢟ࣥࢢ࣓ࣔ
ࣜᑐᛂࡍࡿࡼ࠺࡞₯ᅾኚᩘࢆ⏝࠸ࡓ₯ᅾሗฎ
⌮ࣔࢹࣝࡢⓎࡀ᭷ᮃ࡛࠶ࢁ࠺ࠋ Grebitus et al.
(20)ࡢ⡆౽ἲࡣ TVD ࢆຠ⏝㛵ᩘࡢእ⏕ኚᩘࡍࡿࡇ
ࡽ₯ᅾሗฎ⌮ࣔࢹࣝࡢ㏆ఝ࠸࠼ࡿࡀ㸪ຠ
⏝㛵ᩘࡢᕪ㡯ࡋ࡚ᑟධࡍࡿ㸪 TVD ࡀ 0
࡞ࡗࡓࡁ㑅ዲࡀᏑᅾࡋ࡞࠸ࡇ㑅ዲࡣ࠶ࡿ
ࡀᗈ⩏ࡢどぬⓗฎ⌮ࢆࡋ࡞࠸ࡇࡀ⤡ࡍࡿࡓࡵ㸪 Grebitus et al.
(20)ࡢࡼ࠺┤᥋ⓗຠ⏝㛵ᩘᑟ ධࡋࡓࡾ㸪₯ᅾࢡࣛࢫࣟࢪࢵࢺࣔࢹ࡛ࣝᑐᛂࡋࡓ
ࡾࡍࡿ࡞ࡢᕤኵࡀᚲせ࡛࠶ࡿࠋᗈ⩏ࡢどぬⓗฎ
⌮ࡶከᵝᛶࡀᐃࡉࢀࡿࡇࡽ㸪Van der Lans et al.
(65)ࡢࣝࢦࣜࢬ࣒ࡀὀどࢧࢵ࣮࢝ࢻ ࡢ㜈್ࢆಶேู᥎ᐃࡋࡓࡢࡼ࠺㸪どぬⓗὀ ពどぬⓗฎ⌮ࡢ㜈್ࡀಶேูᐃࡲࡿࣔࢹࣝࡶ
⪃࠼ࡽࢀࡿࠋ Ares et al.
(2)ࡢࡼ࠺ᛶ᱁≉ᛶ࡛࠶ࡿ
ྜ⌮ⓗ⤒㦂ⓗᑻᗘࢆศᯒྵࡵࡿࡇࡶ᳨ウ್
ࡋࡼ࠺ࠋࡓࡔࡋ㸪」㞧ࡋࡍࡂࡿࡇ࡛࠼ࡗ࡚
ࣔࢹࣝ㐺ྜᛶࢆୗࡆࡿࡇ࡞ࡽ࡞࠸ࡼ࠺㸪༑ศ
࡞ὀពࡀᚲせ࡛࠶ࡿࠋ
ࡲࡓ㸪どぬⓗ᥈⣴ࡘ࠸࡚ࡣ㸪ຠ⏝㛵ᩘෆ࡛ࡢ ᐃ⩏ᶍ⣴ࡀ᭷ᮃ࡞◊✲᪉ྥᛶ࡛࠶ࢁ࠺ࠋ᪤ ◊✲
࡛ࡣ㸪᥈⣴Ṇࡢ᫂♧ⓗᑟධࣔࢹ࣭ࣝຠ⏝㛵ᩘ
࠾ࡅࡿどぬⓗ᥈⣴㐣⛬ࡢෆ⏕ⓗᑟධࣔࢹࣝࡢ㧗࠸
㐺ྜᛶࡸ㸪᥈⣴ⓗど⥺⛣ືࡣᅇ⟅㛫ࡢ┦㛵ྍ
⬟ᛶࡀ♧၀ࡉࢀ࡚࠸ࡿࠋࡑࢀࡽࢆྜࢃࡏ࡚⪃࠼ࢀ
ࡤ㸪ᅇ⟅㛫ࡣどぬⓗ᥈⣴ࡢ௦⌮ኚᩘࡋ࡚ࡶ᭷
ᮃ࡛ࡣ࡞࠸ࡔࢁ࠺ࠋࡶࡕࢁࢇ ET ࢹ࣮ࢱࡀྲྀᚓ
࡛ࡁࢀࡤ᪉␎ᣦᶆࢆᛂ⏝ࡋࡓࡾ Yang et al.
(73)ࡢࡼ
࠺どぬⓗ᥈⣴㐣⛬ࢆຠ⏝㛵ᩘෆ⏕ⓗᑟධࡋ ࡓࡾࡍࡿࡇࡀ࡛ࡁ㸪つᶍࢺࣛࢵࢡㄪᰝࡀ
ྍ⬟࡞ࢀࡤࡑࡢὶࢀࡣࡉࡽ᥎ࡋ㐍ࡵࡽࢀࡼ࠺ࠋ ࡓࡔࡋ㸪ᐊෆᐇ㦂㝈ࡽࢀࡀࡕ࡞ ET ࢹ࣮ࢱ⏝
ࡸ㸪࢙࢘ࣈࣥࢣ࣮ࢺࡀ㢖⦾⏝࠸ࡽࢀ࡚࠸ࡿ
DCE ࡢ⌧≧㚷ࡳࡿ㸪 ≉࢙࢘ࣈࣥࢣ࣮ࢺ
࠾࠸࡚ࡣẚ㍑ⓗᐜ᫆ィ ྍ⬟࡞ᅇ⟅㛫ࢆ⏝
ࡍࡿࡇࡀ⌧ᐇⓗ࡛࠶ࡿࠋࡇࡕࡽࡶ」㞧ࡋࡍࡂ
ࡿࡇࡢᘢᐖὀពࢆせࡍࡿࠋ
DCE ◊✲ㅖศ㔝࡛ᩚ⌮ࡉࢀ࡚࠸ࡿᚋࡢ㨩ຊ
ⓗ࡞◊✲᪉ྥᛶࡣ㸪 ET ࢹ࣮ࢱ⏝ࡶ㈨ࡍࡿ
⪃࠼ࡽࢀࡿࠋ࣐࣮ࢣࢸࣥࢢ࠾࠸࡚㸪 Swait and Feinberg
(59)ࡣ㞳ᩓ㑅ᢥࣔࢹࣜࣥࢢ㸦 discrete choice modeling㸪 DCE ࡢୖᴫᛕࡘ⾲᫂㑅ዲ ἲࡢୗᴫᛕ㸪Carson and Louviere
(10)㸧ࡘ࠸
࡚㸪ࣉࣟࣇࣝᒓᛶሗࡢฎ⌮ࡶ㛵㐃ࡍࡿព
ᛮỴᐃ᪉␎㑅ᐃ㸦 decision strategy selection㸧◊
✲㸪㑅ᢥ⫥ࡢࡩࡿ࠸ⴠࡋ࡛࠶ࡿ࢝ࢵࢺ࢜ࣇ㸦 cut- off㸧◊✲㸪⌧௦ⓗᾘ㈝⪅ࡢ⨨ࢀ࡚࠸ࡿࣥࢱ࣮
ࢿࢵࢺࢩࣙࢵࣆࣥࢢ㔞࡞ሗࡢฎ⌮࠸࠺⌧
≧㛵ࢃࡿࣅࢵࢢࢹ࣮ࢱ◊✲ࢆྵࡴ6 ࡘࡢᑗ᮶ⓗ
࡞◊✲᪉ྥᛶࢆ♧၀ࡋࡓ
xxiࠋ㈨※⎔ቃ⤒῭Ꮫ࠾
࠸࡚㸪 Adamowicz et al.
(1)ࡣ㞳ᩓ㑅ᢥࣔࢹࣜࣥࢢࡀ
⎔ቃ㉁ኚᑐࡍࡿཌ⏕ ᗘィ ⏝࠸ࡽࢀ࡚࠸
ࡿࡇゐࢀ㸪ࣄࢺࡢሗฎ⌮ࡸ㑅ᢥࢭࢵࢺࡢ」
㞧ᛶ㛵㐃ࡍࡿ㑅ᢥࢭࢵࢺタィ◊✲㸪㑅ᢥ⾜ືࡢ
ࣄ࣮ࣗࣜࢫࢸࢵࢡࢫ㛵ࢃࡿ㑅ᢥࣇ࢛࣮࣐ࢵࢺ
ຠᯝ㸦 choice format effect㸧◊✲㸪ຠ⏝᭱௨ እࡢពᛮỴᐃ᪉␎࠾ࡅࡿཌ⏕ ᗘࡢ᳨ウࡸ
AN-A ⌧㇟㛵ࢃࡿሗฎ⌮᪉␎◊✲ࢆྵࡴ㸷ࡘ ࡢᑗ᮶ⓗ࡞◊✲᪉ྥᛶࢆ♧၀ࡋࡓ
xxiiࠋᗣ⤒῭Ꮫ
࠾࠸࡚㸪 Lancsar and Burge
(31)ࡣᕷẸၨⓎᴫᛕ
࡛ ࠶ ࡿ ሗ ຍ ㏿ 㸦 information acceleration, Urban et al.
(64)㸧㉁ၥ⣬࠾ࡅࡿㄝ᫂ෆᐜࡢ᭱
㐺 タ ィ ࣭ 㑅 ᢥ ࢭ ࢵ ࢺ ᙧ ᡂ ⪃ ៖ ࢭ ࢵ ࢺ 㸦consideration set㸧 ࣭㑅ᢥࢭࢵࢺタィ㛵ࢃࡿ
DCE ㉁ၥࡢㄆ▱㈇Ⲵ᭱ᑠ◊✲㸪 ࢸ࣮࣮࣓ࣛࢻ
་⒪㛵ࢃࡿಶேࣞ࣋ࣝࡢ㸦ࣄ࣮ࣗࣜࢫࢸࢵࢡ ࢫ㸧᥎ᐃ◊✲ࢆྵࡴ㸶ࡘࡢᑗ᮶ⓗ࡞◊✲᪉ྥᛶࢆ
♧၀ࡋࡓ
xxiiiࠋࣄࢺࡢどぬⓗὀព࣭ฎ⌮᥈⣴ࢆ▱
ࡿࡇ࡛㸪࣐࣮ࢣࢸࣥࢢ᪉␎ࡸᨻ⟇ᑐࡍࡿ
DCE ሗࡢ᭷ຠᛶࡀ㧗ࡵࡽࢀ㸪ཌ⏕ ᗘ࣭⾜ື⛉
Ꮫⓗ᭷ຠ⌮ㄽࡢ᳨ウࡸࢼࢵࢪ 㸦 nudge, Sunstein
(58)㸧 ࡢ⏝ࡀຍ㏿ࡉࢀࡼ࠺ࠋ
᭱ᚋ DCE ET ࡢే⏝◊✲ࢆᴫほࡋ࡚㸪࠸
ࡃࡘࡢᶆ‽ⓗ࢞ࢻࣛࣥࡢᚲせᛶࢆᣦࡋ࡚
⤖ㄒࡍࡿࠋࡲࡎ㸪」ᩘࡢ DCE ㉁ၥࢆᥦ♧ࡍࡿ
๓⾜࠺ࡁど⥺ㄪᩚ㸪ὀどࢧࢵ࣮࢝ࢻࡢᓧู
㛵ࡍࡿᐃ⩏㸪ࢹࣂࢫཧຍ⪅ࡢ㊥㞳㸪ࣔࢽࢱ
࣮ࡢ✀ูゎീᗘ㸪㑅ᢥࡢ᧯స࡞㸪 ET ࢹ࣮ࢱ
⏝ᐇ㦂≉᭷ࡢሗグ㍕ࡸ㸪ពᛮỴᐃᙳ㡪ࢆཬ
ࡰࡍ㛫ⓗไ⣙㸦 time pressure㸧᮲௳ࢆタᐃࡋࡓ ࡢࡘ࠸࡚㸪ᮏ✏࡛ᩚ⌮ࡋࡓㄽᩥࡣ᫂グ≧ἣࡀ
ࡲࡕࡲࡕ࡛࠶ࡗࡓࠋࡲࡓ㸪 Van Loo et al.
(67)ࡼࢀ
ࡤ㸪どぬⓗฎ⌮ࡸ AOI ࡢᐃ⩏ࡶࡼࡾᶆ‽ࡍࡿᚲ せࡀ࠶ࡿࠋࡉࡽ㸪 ET ࢹ࣮ࢱࡢ⏝ㄒ⤫୍㑥ヂ
ࡘ࠸࡚㸪ET ࢹ࣮ࢱࡽ⏕ᡂࡉࢀࡿ ᗘࡢྡ⛠ࡢ ࡤࡽࡘࡁࡀࡳࡽࢀ㸪ヨࡳ᳨⣴ࡋࡓࡇࢁ㸪」ᩘ
ࡢࡀ❧≧ែ࡛࠶ࡗࡓࠋᮏ✏ࡢ 2.1 ⠇࠾࠸࡚
ヨࡳ㑥ヂࢆᥦ౪ࡋࡓࡀ㸪㑥ᩥㄽᩥࡼࡗ࡚ࡣ
ࣝࣇ࣋ࢵࢺ࡛ⱥㄒࢆ♧ࡍ࡞㸪㑥ヂࡶ༑ศ
☜ᐃࡋ࡚࠸࡞࠸ࡶࡢᛮࢃࢀࡿࠋET ࢹ࣮ࢱ⏝
ࢆᐇົⓗ࠶ࡿ࠸ࡣᏛ㝿ⓗᬑཬࡉࡏࡿࡣ㸪⏝
ㄒࡢ⤫୍Ꮫ⾡ⓗ࡞㑥ヂ☜ᐃࡀႚ⥭ࡢㄢ㢟࡛࠶ࡿࠋ ࡇࢀࡽᶆ‽ⓗ࢞ࢻࣛࣥࡢᵓ⠏ࡼࡗ࡚㸪ࡢ
ࡼ࠺࡞㝿ࡢࡼ࠺ᐇ㦂ィ⏬ࡋ࡚ࡢ ET ࢹ࣮
ࢱࢆ࠺ࡢࡀ᫂☜࡞ࡾ㸪ᮏศ㔝ࡢ࠸ࡗࡑ࠺ࡢ
Ⓨᒎࡀᮇᚅ࡛ࡁࡼ࠺ࠋ
ㅰ ㅰ㎡ᮏ✏ࡣ୍㒊⋊༠ᏛሗᏛ◊✲ᡤࡢຓᡂࢆཷࡅ ࡓࠋࡇࡇグࡋ࡚῝ㅰࡍࡿࠋ
ཧ⪃ᩥ⊩
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