- - A S tu dy on th e Im pact of th e P lac e M ark etin g on th e Citiz en 's W ay of T hinkin g 2002 2
- - A S tu dy on th e Im pact of th e P lac e M ark etin g on th e Citiz en 's W ay of T hinkin g 200 1 12
. 200 1 12
1990,,,,., (Place M arketing ).,.,.,,., (PIF AN ), (W F EK ). 97, 90,.,,.,,,, Chi- squ are..,, - i -
.,,.,., 2107.9, 2854.3.,.,.,,...,.. (Place M arketin g ),.. :,,,, Chi- Squa re,, t- test,,, (CVM),, (P IFAN),, (WFEK) - ii -
< > 1 1 1 1 1. 1 2. 2 2 3 1. 4 2. 4 3 5 2 8 1 8 1. (Place M arketing ) 8 2. 12 3. 17 4. 18 5. 22 6. 26 2 27 1. 27 2. 30 3. (CVM ) 32 - iii -
3 34 1 34 1. 35 2. 40 2 49 1. 49 4 52 1 52 1. 52 2. 53 2 56 1. 56 2. 57 3 74 1. (Contin gent V aluation M ethod ) 75 2. 76 4 80 - iv -
5 82 1 82 2 85 3 86 1. 86 2. 87 88 92 A b s trac t 116 - v -
< > < 2-1> 12 < 2-2> 20 < 2-3> 21 < 2-4> 23 < 2-5> 24 < 2-6> 25 < 2-7> 26 < 3-1>, 37 < 3-2> 38 < 3-3>, 39 < 3-4>, 39 < 3-5> 5 43 < 3-6> 43 < 3-7>, 48 < 4-1> 55 < 4-2> 57 < 4-3> 58 < 4-4> 59 < 4-5>, 60 < 4-6>, 61 < 4-7> 62 < 4-8> 63 < 4-9>, 65 < 4-10>, 66 < 4-11>, Chi- squ are 67 < 4-12> 69 < 4-13> 70 < 4-14> 71 < 4-15> 77 < 4-16> (t - t est ) 77 - v i -
< 4-17>, 78 < 4-18>, 78 < 4-19> 79 < > < 1-1> 7 < 2-1> 9 < 2-2> 16 < 2-3> 18 < 2-4> 24 < 2-5> 25 < 2-6> 25 < 2-7> 26 < 3-1> 34 < 3-2> 36 < 3-3> 36 < 3-4> 5 (2001) 42 < 3-5> 2 (2000) 46 < 3-6> 50 < 4-1> ( ) 59 < 4-2> ( ) 59 < 4-3> 60 < 4-4> 60 < 4-5> / 61 < 4-6> 61 < 4-7>, 62 < 4-8> 72 < 4-9> ( ) 73 < 4-10> ( ) 74 - v ii -
1 1 1. 1990.,.,.., 2.,,...,.,, - 1 -
,, 1),,,,.,..,. 2..,.,.,, 1), 1998,,,,, p.1. - 2 -
..,..,.,,.,.,. 2-3 -
1..,.,. 97 96., (PIFAN), (WFEK).,, 97, 90 200.,. 2. - 4 -
..,,. 2001 11 5 23 19,.,.,,. 3 5. 1,. 2,,,., - 5 -
,, CVM ( ). 3,,.,. 4,,.,. 5.,,. - 6 -
1 2 CVM 3 4 CVM, 5 < 1-1> < 1-1> - 7 -
2 1 1. (P lac e M ark etin g ) 1 ) (P l ac e ) (th e S en s e of P la c e )..,.,,,. (T uan, Yi- Fu ) 2),,, (Luckerman),., 3).,,.,., (the Sense of Place) 2) T uan, Yi- Fu, 1979, Space and P lace, Minneapolis : Univer sity of Minnesota 3), 1999,,,, CI,, p.116. - 8 -
.,,..,.,.. < 2-1> :, 1997,, 32 p.181. < 2-1>, - 9 -
,. ( ) ( ).,,. 2 ) (Place Marketing ) 4).,.,.,., (Place Marketing ),, (Kearns & Philo, 1993)., 5)., 4) (Place Marketing), (, 1998, :, 1998), (, 1998). - 10 -
, ( ).. (City Boosterism ) 6) CI(City Identity ) 7). (Paddison, 1993).,.,.,., 5), 1998,,, 6) (City Boosterism). 7) CI Corporate Identity,. CI CI(City Identity). - 11 -
,.,.. < 2-1> / :, 1997,, 2. 1 ).. 2 1950 1960-12 -
., 1960,.,., 1979 8).., 9). 2 3.,.,. 8) 1979 (Karl R. Popper).,,.,,.. 9), 1999,,,, 11, p.121. - 13 -
,. 2 ).,.. (1). 1995.,.,., (city vision ). - 14 -
(2) 1980 2 3.., 1998 IMF,.,,.,. (3).,.,., (, 1998).,. - 15 -
(4),,.,....,. < 2-2> < 2-2> - 16 -
3..., (, 1998, p.186.). 1 ). 3 (Meffert, 1989, p.275.). (1)..... (2) - 17 -
,.. SWOT. (3).. < 2-3>. < 2-3> (feedback ) < 2-3> 4. 1 ),, - 18 -
. (Griffiths ) 10),,. (political priority ), (conception of cultural domain ) (spatial emphases).. (Cultural Industries Model), (Integration Model), (Promotion or Consumerist Model) (Griffiths, 1995)., (Cultural Industries Model)., (affinity )., (Integration Model),., (Promotion or Consumerist Model).,.,. 10) Griffiths, 1995, Cultural S trategy and N ew M odes of Urban I ntervention, Cities, Vol.12, pp.254-255. - 19 -
, < 2-2>. < 2-2> (Cultural Indus tries M odel) (Integ ration M odel) (Prom otion or Cons um eris t Model) - : - : - : - - 1980 - - - - - - - : Griffiths, 1995, Cultural S trategy and new m odes of urban intervention, Cities, Vol.12 pp.254-255. :, 1998, :,,,, 33 6, p.289. 2 ) 6. < 2-3>.,,,. - 20 -
< 2-3>,,,,, - - - - - - - - - - - - -, - - - - : http://www.upnup.co.kr/placemarketing.files/slide0004.htm :, 1997,,,.,. - 21 -
5..,,. 1 ).. ( ).,,, (, 1999).,,, (, 1998, p.62.).,,. - 22 -
< 2-4> - - - - - - - - - - -, - - - - - - - - - - - - :, 2000,,, p.29. 2 ) 1997 412 11). 1999 660 12). 11), 1999, 12), 1999,,, - 23 -
. (1) /, (52), (51) (49) 10%.,,. < 2-5> 38 24 12 13 7 10 49 31 18 27 32 51 35 52 13 % 9.22 5.83 2.91 3.16 1.7 2.43 11.9 7.52 4.37 6.55 7.77 12.4 8.5 12.6 3.16 :, 1999, < 2-4>, 412 40%., 6. - 24 -
< 2-6> ( ) ( ) ( ) / ( ) 412 92 151 163 6 (% ) 100 22.33 36.65 39.56 1.46 :, 1999, (2), 10 (189 ).. < 2-5> < 2-6>,, 412 89% 371 1., 2 3. (3), 4-25 -
. 4,.,. < 2-7> ( ) (% ) 412 100 284 68.93 50 12.14 43 10.44 35 8.50 :, 1999, < 2-7> 6..,,.,,.,,., - 26 -
, 10 1.,,,.,,. 2,, (CVM )..,., (CVM ). 1. 1997 2000 3-4. - 27 -
(1997) 13),,.,. (1998) 14).,, 3.,,. (1999) 15).,. (1998) 16),,.,., 13), 1997,,,, 8,, pp.197-231. 14), 1998,,,, 15), 1999,,,, 11, pp.119-137. 16), 1998, :, - 28 -
,. (1998) 17). 4,,.,,. (1999) 18).,.,,, 4. (2000) 19).,., 17), 1998,, 18), 1999,, 19), 2000, :, - 29 -
. (2001) 20)..,.,. 2. (1999) 21),.,., Chi- square.,,,,. (1999) 22) 20), 2001,, 21), 1999, :, 22), 1999, : - 30 -
.,.,,,,,,, 6,. (1999) 23),.,,, t - test /.,, /. (2000) 24),.,, 153,. (2000) 25), 28, pp.243-261. 23), 1999,,, 11 1, pp.93-112. 24), 2000, :, 25), 2000,, - 31 -
.,,. 3. (CV M ) (Contingent Valuation Method), (environmental good). (1997) 26) (CVM ),,. (1998) 27) CVM.,,,., 8,799, 3,641, 6,088, 47 : 20 : 33.,,, (- ). (1997) 28). - 26), 1997,,, 15, pp.61-101. 27), 1998, : CVM, 28), 1997, (CVM) :, 9 1, pp.55-69. - 32 -
. 1 50,000 1,500, 1 2 300,000 9,000. (1998) 29).,,. 1,295 694, 597 2., 3,.,.., (CVM ),.,. 29), 1998, : (CVM),, 12, pp.421-436. - 33 -
3 1, 1990 (Bucheon City ) (Koyang City ).. (Puchon International F antastic Film Festival, PIFAN ) (World Flower Expo Koyang, WFEK). < 3-1> - 34 -
, 1990,,,. 1. 1 ),.,.,,,,, 53.44 0.5%.,.,,. 267.32 2.6% 30)., 1990 200,. 30) 1999, 10,189.24,. - 35 -
2 ) (1) 1960..., 1990 200., 1999, 78 1973 6 5 20 11 79., 1996. 1992, 1992 25 9 1999, 77 3.,,. < 3-2> < 3-3> - 36 -
< 3-1>, ( :, ) 1973 12,712 65,080 32,504 32,576 5.1 23,896 126,955 64,001 62,954 5.3 1978 33,021 163,471 82,686 80,785 5.0 29,768 148,519 75,294 73,225 5.0 1983 82,972 340,307 172,760 167,547 4.1 31,197 166,515 85,585 80,930 5.3 1988 156,646 584,137 296,049 288,088 3.7 57,299 224,188 113,803 110,385 3.9 1993 226,632 724,380 366,620 357,760 3.2 103,509 306,936 155,356 151,580 3.0 1998 252,989 781,641 401,256 390,141 3.1 246,802 752,396 375,440 376,956 3.0 1999 253,661 779,978 394,927 385,051 3.1 253,831 774,783 386,198 388,585 3.1 :, 2000, :, 2000,.,,, UR., (18 ), (10 ), (7 ) 3, 35, (17 ) (18 ) 2, 35. (2) - 37 -
., 3, 4, 80.6% 87.8% 31)., 1. < 3-2> ( : ) 1 ( ) 778,152 464,699 313,453 86.0 229 785,051 527,916 257,135 89.7 231 606,475 425,093 181,382 87.8 197 507,608 365,510 142,098 80.6 188 414,352 292,036 122,310 81.6 228 406,147 285,746 120,401 86.4 209 320,778 158,445 162,333 72.7 182 : http://www.bucheonsi.com/citydata/statistics/default.htm, 1995,. 1995,,. < 3-3>. 31) 96.3%, 25.1%. - 38 -
< 3-3>, ( :, ) 1995 44,376 212,128 20,064 83,788 1996 44,882 203,350 22,440 99,902 1997 44,892 191,139 24,166 105,080 1998 43,337 173,155 25,542 107,870 1999 48,164 192,057 29,151 124,619 :, 2000, :, 2000,, 1999 (18.67%) (10.47%)., /., < 3-4>.. < 3-4>, ( : ) 1999 48,164 100 % 29,15 1 100 % 1 0.00% 14 0.05% 0 0.00% 1 0.00% 2 0.00% 1 0.00% 8,993 18.67% 3,052 10.47%, 7 0.01% 18 0.06% 807 1.68% 618 2.12% - 39 -
12,912 26.81% 7,721 26.49% 8,825 18.32% 5,636 19.33% 3,512 7.29% 1,856 6.37% 457 0.95% 344 1.18% /, 2,638 5.48% 2,402 8.24%, 93 0.19% 95 0.33% 1,709 3.55% 1,609 5.52% 966 2.01% 857 2.94%, 2,093 4.35% 1,365 4.68%, 5,130 10.65% 3,562 12.22% :, 2000, :, 2000, 2. 1 ) 1960..,., 21. 32), 32), 1999 3 (, 1999. 11. 9). - 40 -
. 1999, (, 2001)., 1999, (PISAF ),., (PIFAN). 2001, 5 33). (1) (PIFAN ),. 5 34). (bed town )., 33) 5, 20 2 7., 1, (, 2001, 5, p.97.). 34) 5, (PIFAN), (PISAF ),. - 41 -
.,,, 1, 2. < 3-4> 5 (200 1) / / ( ) < 3-4> 5 (200 1) :, 2001, 5,, p.61. (PIFAN). < 3-4> 2001 5. 5 ( ) 35 140,, 4 7 12 20 9, - 42 -
, -. 5, 24 5 86,762. < 3-5> 5 ( ) 2,451,193 100% 1,030,000 42.0% 500,000 20.4% 170,000 6.90% 11,000 0.50% 45,000 1.80% 695,193 28.40% :, 2001, 5,, p.70. < 3-6> ( :, %) 1997 91,313 38,739 (42.42) 52,574 (57.58) 1998 108,646 60,703 (55.87) 47,943 (44.13) 1999 150,250 38,022 (25.31) 112,228 (75.69) 2000 208,419 40,102 (19.24) 117,317 (80.76) 200 1 86,762 38,779 (44.70) 21,658 (55.30) :, 2000, :, 2001, 5,, p.3. (2) - 43 -
, 9. (European F antasy Film F estivals Federation, EFFFF ).,. 1987 (F anta F estival), (F antas Porto- Oporto International Film Festival), (International Film Festival of Catalonia), SF (T he Brussels International Festival of Fantasy, T hriller and Science Fiction Films) 4.,,. 1998 (Amsterdam Fantasy Film Festival) (Cinenygma), (Espoo Cine International), (T he F antastic Film Festival Lund), 1999 (San Sebastian Horror and Fantasy Film F estival) 35). (PIFF ) (JIFF ). 6 (PIFF ),.,, 35) http :// www.pifan.com/ korean/ pifaninfo/ EFFFF.html - 44 -
36)., (JIFF ) 2000,. 2 ),.,.,,.,. (1) (WFEK) (WFEK).., 37). 36) 1998 3, 8.7% 150, 2000. (, 1999, p.27.) 37), 1997, 97, pp.48-52. - 45 -
,. 97 2000 2 ( ) 40 244 38). 4, 3. < 3-5> 2 (2000) < 3-5> 2 (2000) : 2000 (www.flower.or.kr),,,,., 38) 2000 (www.flower.or.kr) - 46 -
,. 2000 824 7, 80. (2). 1963 11. 900 800 80%. 1998 12,000,,,,, 39).,,. 2002. 4.26 5.19 24 (Flower and New Civilization ) AIPH A2/ B2. 793,000 40),. 21, 39), 2000,,, p.42. 40) http :// www.floritopia.or.kr/ exhibition/ htm/ intro_2.htm - 47 -
.,,. 3 ).,. < 3-7>,, 90 1 3, - 48 -
,.,, 21.,,., 3. 2 1.,..,, Chi- square.,.,., - 49 -
< 3-6>.,. < 3-6> 1 : (,,,,, ).,. 1 :. 2 :. 3 :. - 50 -
4 :. 5 :. 2 : (,,,,, ). 3 : (,,,,, ).. 1,,., Chi- squarerjawjd,,. 2 3. - 51 -
4 1 1. 1 )... 2 ) 300 100 400, 574 ( 349, 225 ) 72%., 330, 215 545. 3 ) - 52 -
2001 11 5 23 19,. 2., < 4-1>.,,,,,, 7. 1 ),. 2 ),,,. - 53 -
3 ),,,,,.,. 4 ),.,,, 4 1 3. 5 ),.,,,,,,. - 54 -
< 4-1> 1-1 1-2 2-1 2-2 2-3 2-4 2-5 3-1 3-2 3-3 3-4 3-5 3-6 3-7 3-8 3-9 3-10 3-11 3-12 3-13, 3-14 3-15 3-16 3-17 4-1 4-2 5-1 5-2 6-1 6-2 7-1 7-2 7-3 7-4 7-5 7-6 7-7 - 55 -
2 1..,.,.,,. (ANOVA ),, x (Chi- square) ( 1 ).,, (Cronbach s alpha)., ( 2 ).,..,, ( 3 ). - 56 -
. < 4-2> x,,,, 2. 1 ), < 4-2>. - 57 -
< 4-3> ( ) (%) ( ) (%) 330 100.00 215 100.00 330 215 114 34.55 112 52.09 216 65.45 103 47.91 330 215 20 39 11.82 12 5.58 20-30 116 35.15 93 43.26 30-40 98 29.70 63 29.30 40-50 59 17.88 27 12.56 50 18 5.45 20 9.30 330 215 29 8.79 11 5.12 / 62 18.79 22 10.23 / 8 2.42 4 1.86 11 3.33 12 5.58 / 81 24.55 67 31.16 / 23 6.97 19 8.84 39 11.82 27 12.56 62 18.79 43 20.00 / 15 4.55 10 4.65 328 215 / 44 13.41 2 0.93 / 118 35.98 55 25.58 / 153 46.65 147 68.37 / 13 3.96 11 5.12 329 215 100 30 9.12 19 8.84 100-300 213 64.74 131 60.93 300-500 69 20.97 53 24.65 500 17 5.17 12 5.58 330 215 1 22 6.67 30 13.95 1-3 48 14.55 43 20.00 3-5 31 9.39 36 16.74 5-10 57 17.27 53 24.65 10 172 52.12 53 24.65 328 214 240 73.17 102 47.66 88 26.83 112 52.34-58 -
2 ),.,., 2. < 4-4> ( : ) (3 27 ) (2 14 ) 78 23.9% 35 16.4% 4 1.2% 56 26.2% 20 6.1% 22 10.3% 112 34.3% 57 26.6% 79 24.2% 1 0.5% 11 3.4% 4 1.9% 6 1.8% 36 16.8% 4 1.2% 3 1.4% 13 4.0% < 4-1> ( ) < 4-2> ( ) - 59 -
,, (56.1%), (93.0%). < 4-5>, ( : ) (3 28 ) (2 15 ) 21 6.4% 5 2.3% 184 56.1% 200 93.0% 33 10.1% 6 2.8% 13 3.9% 4 1.9% 77 25.5% 4.., 46.06%, 56.75%,., 3. < 4-3> < 4-4> - 60 -
,,., (85.40%, 72.94%). < 4-5> / < 4-6>, (36.7%),. < 4-6>, ( : ) (33 0 ) (2 15 ) 41 12.4% 46 21.4% 13 3.9% 8 3.7% 29 8.8% 46 21.4% 121 36.7% 42 19.5% 82 24.8% 30 14.0% 40 12.1% 43 20.0% 4 1.2% - 61 -
< 4-7>,,, (56.83%), (35.35%)., PPP. < 4-7> ( : %) 19.75 28.44 18.14 33.49 11.85 22.32 11.16 11.63 9.11 6.72 35.35 6.98 / / 56.83 9.48 34.42 47.91 2.43 / 33.02 0.93-62 -
,. 3 ) (1)., (Reliability Analysis). (Cronbach ' s alpha). < 4-8>, Cronbach 's alpha 0.6815 0.7058 0.8194 0.8184 0.6822 0.7189 0.6260 0.7121-63 -
0.6,, 0.6. (2) 1 1 : (,,,,, ).,.,.,., Duncan Grouping., 5%,,.,.,.. - 64 -
. 1 3-5. 3-5.,..,.( ) < 4-9>, s u m of s qu are s F v alu e P r > F 1.71623168 7.89 0.0053 * 0.71683004 1.08 0.3594 0.98650423 1.48 0.2194 1.66605469 2.53 0.0572 * 4.34680973 5.14 0.0005 * 1.10682304 5.03 0.0256 * 0.01691323 0.10 0.7510 0.09503859 0.19 0.9046 2.73313760 5.89 0.0007 * 0.39846658 0.79 0.4986 0.79068225 1.19 0.3618 0.62442065 3.83 0.0515 p < 0.05 *, 5%,,,,,.. - 65 -
30 40 30....,..( ) < 4-10>, s u m of s qu are s F v alu e P r > F 1.74069100 7.14 0.0081 * 3.29555227 4.60 0.0038 * 0.9218285 1.20 0.3099 1.92633221 2.62 0.0519 * 6.35167715 7.06 <.0001 * 1.43380317 5.85 0.0165 * 0.43995872 2.23 0.1370 1.14762791 1.96 0.1220 0.36446667 0.61 0.6109 0.99321830 1.69 0.1716 0.80493379 1.01 0.4019 0.05369219 0.27 0.6052 p< 0.05 *,,., - 66 -
,.,,.,,, (x )., x (Chi- square) 5%,.,.,.,. < 4-11>, Chi- s qua re ( ) 183 0.7209 71.21 31 2.9409 49.21 74 1.4555 28.79 32 5.9373 50.79 ( ) 91 7.0075 68.42 19 11.797 24.05 missing = 10 missing = 3 42 7.5571 31.58 60 12.723 75.95-67 -
Chi- Square value Prob value Prob 11.0546 0.0009 39.0849 <.0001 104 1.1376 77.04 3 1 6.722 22.96 91 1.6513 97.85 2 9.7577 2.15 43 3.7507 54.43 36 10.168 45.57 79 3.3671 89.77 9 9.1285 10.23 missing = 102 missing = 48 Chi- Square value Prob value Prob 19.2685 <.0001 26.4146 <.0001 (3) 2 2 : (,,,,, )., 4.,.., - 68 -
.. < 4-12> W ald -.5932.4475 1.7575 1.1849.4682.4553 1.0574 1.3038.7573.3955 3.6655 1.0555.8175.5079 2.5911 1.1075 -.1312.7915.0275 1.8683 -.0032.0371.0074 1.9313.2231.8214.0737 1.7860.8646.3074 7.9100 1.0049 -.2394.5585.1837 1.6682 1.5753.5803 7.3699 1.0066-2 Log Likelihood 63.523 Goodness of Fit 99.283 Cox & Snell - R.226 Nagelkerke - R.420, 5%,., 10%.,,.,. - 69 -
< 4-13> W ald 1.7381.7196 5.8341 1.0157.7316.7221 1.0264 1.3110 -.1452.5461.0707 1.7903 -.7978.6498 1.5072 1.2196-3.5200 1.4269 6.0858 1.0136 -.1084.0459 5.5811 1.0182 -.8373.8598.9482 1.3302.1070.3872.0764 1.7822-1.7764.6737 6.9523 1.0084 1.3388.9218 2.1093 1.1464-2 Log Likelihood 45.775 Goodness of Fit 54.227 Cox & Snell - R.325 Nagelkerke - R.543, 5%,,.,, (- ), (- ).,.. 4 ) - 70 -
, 30.70%, 28.97%., 2. < 4-14> ( ) (% ) ( ) (% ) 101 30.70 35 16.36 63 19.15 62 28.97 12 3.65 16 7.48 21 6.38 28 13.08 22 6.69 13 6.07 77 23.40 37 17.29 10 3.04 7 3.27 19 5.78 14 6.54 3 0.91 2 0.93 1 3 41)., (e) (j) 41),.. a ) e ) i ) m ), b ) f ) j ) n ) c ), g ) k ) o ) d ) h ) l ) p ) - 71 -
., (a), (e), (j) (m ). < 4-8>,, 42), 16 a p,, A, B, C, D. 42) (Quantification Method),,.,, (, 2000, pp.62-63.). - 72 -
Plot of dim1*dim2. Symbol is value of region. - - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - - di m1 2 + + l B 1 + g h + i nk p D d c 0 +- - - - - - - - - - - - - +- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + ba f o - 1 + + j C a - 2 + e + - 3 + + - 4 + + - - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - - - 1. 5-0. 5 0. 5 1. 5 2. 5 3. 5 4. 5 5. 5 6. 5 7. 5 8. 5 di m2 < 4-9> ( ), (m ). (A ) (b), (B) (h), (j) (p).,. - 73 -
Plot of dim 1*dim2. Symbol is v alue of region. - - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - - di m1 2 + e + C o 1 + l + k d hn b 0 +- - - - - - - - - - - - - +- - f - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + p i B g - 1 + + D j - 2 + + a - 3 + + - 4 + + - - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - +- - - - - - - 1. 5-0. 5 0. 5 1. 5 2. 5 3. 5 4. 5 5. 5 6. 5 7. 5 8. 5 di m2 < 4-10> ( ) 3 (A ) (c), (m )., (A ) (c) (m), (B) (b) (f), (i).,. - 74 -
3 1. 4 3 ) (Contin g e nt V alu ation M eth od ) (CVM ) (public good), (environmental good) (, 1997, p.61.)..,.,,.. (survey )., (CVM ). 44) 43). (1998), (1998)., (1997).. - 75 -
.,,,. (PIFAN ) (WFEK). 2..,.,., 4,000.. 44) (Willingness- to- pay model), (survey method), (the interview method), (the direct interview method), (the question method), (the hypothetical demand curve estimation method), (the difference mapping method), (the preference elicitation method) (, 1997, p.61). - 76 -
1 ) 330 292, 215 201. < 4-15>., 1,000,. < 4-15> ( ) (% ) ( ) (% ) 0-1,000 126 43.15 72 35.82 1,000-4,000 106 36.30 76 37.81 4,000-10,000 37 12.67 32 15.42 10,000 23 7.88 21 10.45 292 100.00 201 100.00,. t - test,. < 4-16> (t- te s t) T P rob > T 2,107.9 3323.9 2,854.3 7519.6-1.32 0.1877-77 -
,, 36.3%, 41.3%. < 4-17>, ( ) (% ) ( ) (% ) 106 36.3 83 41.3 186 63.7 118 58.7, < 4-16> 2,107.9, 2,854.3.. < 4-18>, (P M V ) = (H ) (C ) PMV = 253,661( ) 2107.9( ) = 534,692,022( ) PMV = 253,831( ) 2854.3( ) = 724,509,823( ) : 2000. (PIFAN) (WFEK) 5 3 4, 7 2 4. - 78 -
. 2 ) 3 : (,,,,, ).., 4,,,. Logistic(Value)= + 1( )+ 2( )+ 3( ) + 4( )+ 5( )+ 6( )+ 7( ) + 8( ), 5%., 5%,. < 4-19> W ald 0.8552 0.3821 5.0107 1 0.0252 1.1727 0.5489 4.5653 1 0.0326-1.0672 0.5749 3.4458 1 0.0634 nagelkerke = 0.263 p < 0.05 * - 79 -
: 1=, 0=, 1=, 0=,,,,,., (- ),. 4,,.,.,, 5%,,,.,, 5%,,,,,.,, x (Chi- square),.. - 80 -
, 4,., 1-2.,,,,.,.,. 36.3%, 41.3%, 2107.9, 2854.3., (PIFAN) 5 3 4, (WFEK) 7 2 4. - 81 -
5 1.,.,..,..,,.,,.,.,, - 82 -
,.,,,. 5%,,,. 5%,,,,,.,,,.,,.,.,,, (Chi- square),.,,..,,,. - 83 -
,.,., 4,.,,,., 4 1-2,.,,,.,,,..,,,.,, - 84 -
, 2,500... 2..,..,.,..,,.,., - 85 -
..,.,,,,,.,..,. 3 1.,, - 86 -
.,,.,. 2...,,. - 87 -
[ ] 1. 1), 1997, 97, 2000,, 2001, 5,, 1999,, 2000,, 2001, VISION BUCHEON 2010, 1999,,, 1999,,,, 2001, SAS,, 2000, :, 2), 2000,,, 2001,,, 2000, :,, 1999, :,, 1999, :, - 88 -
, 2000, :,, 1998, :,, 1998, : CVM,, 1998,,,,, 1999, :,, 2000,,, 2000,,, 1998,, 3), 1999,,,, 11, pp.119-137., 1997,,, 15, pp.61-101., 1999, :, 34, pp.19-28., 1998, :,, 2 2, pp.54-73. - 89 -
, 2001, :,, 5, 1997,,, 1997,,, 32, pp.169-184., 1999, :,, 28, pp.243-261., 1997, (CVM ) :,, 9 1, pp.55-69., 1999,,, 11 1, pp.93-112., 1999,,,, CI., pp.116-119., 1998, : (CVM ),, 12, pp.421-436., 1998,,,, pp.529-544. 4) Up & Up (http:// www.upnup.co.kr ) (http:// www.flower.or.kr ) (http:// city.koyang.kyonggi.kr/ ) (http:// www.bucheonsi.com/ ) (http:// www.pifan.com/ korean/ index.asp) (http:// www.floritopia.or.kr/ ) 2. - 90 -
Achworth, G. J. and Voogd, H., 1990, S elling the city : m ark eting app roaches in p ublic s ector urban p lann ing, Belhaven Press Griffiths, R., 1995, Cultural S trateg ies and N ew M od es of Urban I ntervention, Cities 12(4), pp.253-265. Paddison, R., 1993, City M ark eting, I m ag e R econs truction and Urban R eg eneraion, Urban Studies Vol. 30, No. 2 T uan, Yi- Fu, 1979, Sp ace and P lace, Minneapolis : University of Minnesota - 91 -
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[ ], Chi- s quare, 1. 1) The GLM Pr ocedur e Dependent Var i abl e : PART par t ( ) Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 1. 71623168 1. 71623168 7. 89 0. 0053 Er r or 318 69. 17126832 0. 21751971 Cor r ect ed Tot al 319 70. 88750000 Al pha 0. 05 Er r or Degr ees of Fr eedom 318 Er r or Mean Squar e 0. 21752 Har moni c Mean of Cel l Si zes 143. 7438 Number of Means 2 Cr i t i cal Range. 1082 Duncan Gr oupi ng Mean N SEX A 0. 38389 211 2 B 0. 22936 109 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 71683044 0. 23894348 1. 08 0. 3594 Er r or 316 70. 17066956 0. 22205908 Cor r ect ed Tot al 319 70. 88750000 Al pha 0. 05 Er r or Degr ees of Fr eedom 316 Er r or Mean Squar e 0. 222059 Har moni c Mean of Cel l Si zes 44. 42733 Number of Means 2 3 4 Cr i t i cal Range. 1967. 2071. 2140 Duncan Gr oupi ng Mean N AGE A 0. 37895 95 2 A A 0. 32759 58 3 A A 0. 32215 149 1 A A 0. 16667 18 4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 98650423 0. 32883474 1. 48 0. 2194 Er r or 314 69. 68016244 0. 22191135 Cor r ect ed Tot al 317 70. 66666667 Al pha 0. 05 Er r or Degr ees of Fr eedom 314-100 -
Er r or Mean Squar e 0. 221911 Har moni c Mean of Cel l Si zes 34. 25086 Number of Means 2 3 4 Cr i t i cal Range. 2240. 2358. 2437 Duncan Gr oupi ng Mean N EDU A 0. 3846 13 5 A A 0. 3717 113 3 A A 0. 3377 151 4 A A 0. 1951 41 2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 1. 66605469 0. 55535156 2. 53 0. 0572 Er r or 315 69. 11137478 0. 21940119 Cor r ect ed Tot al 318 70. 77742947 Al pha 0. 05 Er r or Degr ees of Fr eedom 315 Er r or Mean Squar e 0. 219401 Har moni c Mean of Cel l Si zes 34. 32209 Number of Means 2 3 4 Cr i t i cal Range. 2225. 2342. 2420 Duncan Gr oupi ng Mean N INCOME A 0. 4412 68 3 A B A 0. 3252 206 2 B A B A 0. 2500 16 4 B B 0. 1724 29 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 4 4. 34680973 1. 08670243 5. 14 0. 0005 Er r or 315 66. 54069027 0. 21124029 Cor r ect ed Tot al 319 70. 88750000 Al pha 0. 05 Er r or Degr ees of Fr eedom 315 Er r or Mean Squar e 0. 21124 Har moni c Mean of Cel l Si zes 39. 11932 Number of Means 2 3 4 5 Cr i t i cal Range. 2045. 2153. 2225. 2278 Duncan Groupi ng Mean N DWELLING A 0. 4260 169 5 A B A 0. 3333 54 4 B A B A 0. 2381 21 1 B B 0. 1489 47 2 B B 0. 1379 29 3 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t - 101 -
Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 1. 10682304 1. 10682304 5. 03 0. 0256 Er r or 316 69. 55984362 0. 22012609 Cor r ect ed Tot al 317 70. 66666667 Al pha 0. 05 Er r or Degr ees of Fr eedom 316 Er r or Mean Squar e 0. 220126 Har moni c Mean of Cel l Si zes 125. 4843 Number of Means 2 Cr i t i cal Range. 1165 Duncan Gr oupi ng Mean N ADDRESS A 0. 43023 86 2 B 0. 29741 232 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The GLM Pr ocedur e Dependent Var i abl e : INTEND i nt end( ) Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 0. 01691323 0. 01691323 0. 10 0. 7510 Er r or 232 38. 87624917 0. 16757004 Cor r ect ed Tot al 233 38. 89316239 Al pha 0. 05 Er r or Degr ees of Fr eedom 232 Er r or Mean Squar e 0. 16757 Har moni c Mean of Cel l Si zes 102. 6325 Number of Means 2 Cr i t i cal Range. 1126 Duncan Gr oupi ng Mean N SEX A 0. 87342 158 2 A A 0. 85526 76 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 09503859 0. 03167953 0. 19 0. 9046 Er r or 230 38. 79812380 0. 16868749 Cor r ect ed Tot al 233 38. 89316239 Al pha 0. 05 Er r or Degr ees of Fr eedom 230 Er r or Mean Squar e 0. 168687 Har moni c Mean of Cel l Si zes 28. 68306 Number of Means 2 3 4 Cr i t i cal Range. 2137. 2249. 2325 Duncan Gr oupi ng Mean N AGE A 0. 8955 67 2 A A 0. 8621 116 1 A A 0. 8500 40 3 A A 0. 8182 11 4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 102 -
Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 2. 73313760 0. 91104587 5. 89 0. 0007 Er r or 229 35. 40420146 0. 15460350 Cor r ect ed Tot al 232 38. 13733906 Al pha 0. 05 Er r or Degr ees of Fr eedom 229 Er r or Mean Squar e 0. 154603 Har moni c Mean of Cel l Si zes 27. 25884 Number of Means 2 3 4 Cr i t i cal Range. 2099. 2209. 2283 Duncan Gr oupi ng Mean N EDU A 1. 2727 11 5 B 0. 8761 113 4 B B 0. 8750 80 3 B B 0. 6897 29 2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 39846658 0. 13282219 0. 79 0. 4986 Er r or 230 38. 49469582 0. 16736824 Cor r ect ed Tot al 233 38. 89316239 Al pha 0. 05 Er r or Degr ees of Fr eedom 230 Er r or Mean Squar e 0. 167368 Har moni c Mean of Cel l Si zes 25. 94779 Number of Means 2 3 4 Cr i t i cal Range. 2238. 2356. 2434 Duncan Gr oupi ng Mean N INCOME A 1. 0000 12 4 A A 0. 9074 54 3 A A 0. 8493 146 2 A A 0. 8182 22 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 4 0. 79068225 0. 19767056 1. 19 0. 3168 Er r or 229 38. 10248014 0. 16638638 Cor r ect ed Tot al 233 38. 89316239 Al pha 0. 05 Er r or Degr ees of Fr eedom 229 Er r or Mean Squar e 0. 166386 Har moni c Mean of Cel l Si zes 27. 16409 Number of Means 2 3 4 5 Cr i t i cal Range. 2181. 2296. 2372. 2429 Duncan Groupi ng Mean N DWELLING A 0. 9231 13 1 A - 103 -
A 0. 9106 123 5 A A 0. 8636 22 3 A A 0. 8140 43 4 A A 0. 7576 33 2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 0. 62442065 0. 62442065 3. 83 0. 0515 Er r or 230 37. 49626900 0. 16302726 Cor r ect ed Tot al 231 38. 12068966 Al pha 0. 05 Er r or Degr ees of Fr eedom 230 Er r or Mean Squar e 0. 163027 Har moni c Mean of Cel l Si zes 93. 57759 Number of Means 2 Cr i t i cal Range. 1163 Duncan Gr oupi ng Mean N ADDRESS A 0. 95385 65 2 A A 0. 83832 167 1 2) The GLMPr ocedur e Dependent Var i abl e : PART par t ( ) Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 1. 74069100 1. 74069100 7. 14 0. 0081 Er r or 210 51. 18383730 0. 24373256 Cor r ect ed Tot al 211 52. 92452830 Al pha 0. 05 Er r or Degr ees of Fr eedom 210 Er r or Mean Squar e 0. 243733 Har moni c Mean of Cel l Si zes 105. 7642 Number of Means 2 Cr i t i cal Range. 1338 Duncan Gr oupi ng Mean N SEX A 0. 56757 111 1 B 0. 38614 101 2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 3. 29555227 1. 09851742 4. 60 0. 0038 Er r or 208 49. 62897603 0. 23860085 Cor r ect ed Tot al 211 52. 92452830 Al pha 0. 05 Er r or Degr ees of Fr eedom 208 Er r or Mean Squar e 0. 238601 Har moni c Mean of Cel l Si zes 35. 48806-104 -
Number of Means 2 3 4 Cr i t i cal Range. 2286. 2406. 2487 Duncan Gr oupi ng Mean N AGE A 0. 6667 63 2 A B A 0. 4815 27 3 B B 0. 4000 20 4 B B 0. 3824 102 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 90218285 0. 30072762 1. 20 0. 3099 Er r or 208 52. 02234545 0. 25010743 Cor r ect ed Tot al 211 52. 92452830 Al pha 0. 05 Er r or Degr ees of Fr eedom 208 Er r or Mean Squar e 0. 250107 Har moni c Mean of Cel l Si zes 6. 486911 Number of Means 2 3 4 Cr i t i cal Range. 5474. 5763. 5955 Duncan Gr oupi ng Mean N EDU A 0. 7273 11 5 A A 0. 5000 2 2 A A 0. 4863 146 4 A A 0. 4151 53 3 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 1. 92633221 0. 64211074 2. 62 0. 0519 Er r or 208 50. 99819609 0. 24518364 Cor r ect ed Tot al 211 52. 92452830 Al pha 0. 05 Er r or Degr ees of Fr eedom 208 Er r or Mean Squar e 0. 245184 Har moni c Mean of Cel l Si zes 24. 16791 Number of Means 2 3 4 Cr i t i cal Range. 2808. 2956. 3055 Duncan Gr oupi ng Mean N INCOME A 0. 6667 12 4 A A 0. 5194 129 2 A B A 0. 4340 53 3 B B 0. 2222 18 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 4 6. 35167715 1. 58791929 7. 06 <. 0001 Er r or 207 46. 57285115 0. 22498962-105 -
Cor r ect ed Tot al 211 52. 92452830 Al pha 0. 05 Er r or Degr ees of Fr eedom 207 Er r or Mean Squar e 0. 22499 Har moni c Mean of Cel l Si zes 39. 98802 Number of Means 2 3 4 5 Cr i t i cal Range. 2091. 2201. 2275. 2329 Duncan Groupi ng Mean N DWELLING A 0. 6415 53 5 A A 0. 6111 36 3 A B A 0. 5094 53 4 B B 0. 3810 42 2 C 0. 1071 28 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : PART par t Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 1. 43380317 1. 43380317 5. 85 0. 0165 Er r or 209 51. 25813995 0. 24525426 Cor r ect ed Tot al 210 52. 69194313 Al pha 0. 05 Er r or Degr ees of Fr eedom 209 Er r or Mean Squar e 0. 245254 Har moni c Mean of Cel l Si zes 105. 3839 Number of Means 2 Cr i t i cal Range. 1345 Duncan Gr oupi ng Mean N ADDRESS A 0. 56863 102 1 B 0. 40367 109 2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The GLM Pr ocedur e Dependent Var i abl e : INTEND i nt end( ) Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 0. 43995872 0. 43995872 2. 23 0. 1370 Er r or 168 33. 11298246 0. 19710109 Cor r ect ed Tot al 169 33. 55294118 Al pha 0. 05 Er r or Degr ees of Fr eedom 168 Er r or Mean Squar e 0. 197101 Har moni c Mean of Cel l Si zes 83. 82353 Number of Means 2 Cr i t i cal Range. 1354 Duncan Gr oupi ng Mean N SEX A 0. 78667 75 2 A A 0. 68421 95 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end - 106 -
Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 1. 14762791 0. 38254264 1. 96 0. 1220 Er r or 166 32. 40531327 0. 19521273 Cor r ect ed Tot al 169 33. 55294118 Al pha 0. 05 Er r or Degr ees of Fr eedom 166 Er r or Mean Squar e 0. 195213 Har moni c Mean of Cel l Si zes 29. 8073 Number of Means 2 3 4 Cr i t i cal Range. 2260. 2378. 2458 Duncan Gr oupi ng Mean N AGE A 0. 7838 74 1 A A 0. 7636 55 2 A A 0. 6000 25 3 A A 0. 5625 16 4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 36446667 0. 12148889 0. 61 0. 6109 Er r or 166 33. 18847450 0. 19993057 Cor r ect ed Tot al 169 33. 55294118 Al pha 0. 05 Er r or Degr ees of Fr eedom 166 Er r or Mean Squar e 0. 199931 Har moni c Mean of Cel l Si zes 5. 947601 Number of Means 2 3 4 Cr i t i cal Range. 5119. 5388. 5568 Duncan Gr oupi ng Mean N EDU A 1. 0000 2 2 A A 0. 7434 113 4 A A 0. 7083 48 3 A A 0. 5714 7 5 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 3 0. 99321830 0. 33107277 1. 69 0. 1716 Er r or 166 32. 55972288 0. 19614291 Cor r ect ed Tot al 169 33. 55294118 Al pha 0. 05 Er r or Degr ees of Fr eedom 166 Er r or Mean Squar e 0. 196143 Har moni c Mean of Cel l Si zes 18. 03669 Number of Means 2 3 4 Cr i t i cal Range. 2912. 3065. 3167 Duncan Gr oupi ng Mean N INCOME A 0. 7850 107 2 A A 0. 6923 13 1 A - 107 -
A 0. 6341 41 3 A A 0. 5556 9 4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 4 0. 80493379 0. 20123345 1. 01 0. 4019 Er r or 165 32. 74800739 0. 19847277 Cor r ect ed Tot al 169 33. 55294118 Al pha 0. 05 Er r or Degr ees of Fr eedom 165 Er r or Mean Squar e 0. 198473 Har moni c Mean of Cel l Si zes 29. 61953 Number of Means 2 3 4 5 Cr i t i cal Range. 2286. 2406. 2486. 2545 Duncan Groupi ng Mean N DWELLING A 0. 8065 31 3 A A 0. 7778 45 5 A A 0. 7209 43 4 A A 0. 6857 35 2 A A 0. 5625 16 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dependent Var i abl e : INTEND i nt end Sum of Sour ce DF Squar es Mean Squar e F Val ue Pr > F Model 1 0. 05369219 0. 05369219 0. 27 0. 6052 Er r or 167 33. 42559775 0. 20015328 Cor r ect ed Tot al 168 33. 47928994 Al pha 0. 05 Er r or Degr ees of Fr eedom 167 Er r or Mean Squar e 0. 200153 Har moni c Mean of Cel l Si zes 84. 14201 Number of Means 2 Cr i t i cal Range. 1362 Duncan Gr oupi ng Mean N ADDRESS A A 0. 74684 79 1 A 0. 71111 90 2-108 -
2. Chi- square p r o c f r e q ; t ab l e s know*p a r t (p a r t *i nt end ) / nop e r c ent nocol chi s q c e l l chi 2 ; r u n ; 1) know(know) * par t (par t ) Fr equency Cel l Chi - Squar e Row Pct par t (No) par t (Yes ) Tot al - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - know 183 74 257 (No) 0. 7209 1. 4555 71. 21 28. 79 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - know 31 32 63 (Yes ) 2. 9409 5. 9373 49. 21 50. 79 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Tot al 214 106 320 Fr equency Mi ssi ng = 10 St at i st i cs f or Tabl e of know by par t St at i st i c DF Val ue Pr ob - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Chi - Squar e 1 11. 0546 0. 0009 Li kel i hood Rat i o Chi - Squar e 1 10. 5664 0. 0012 Cont i nui t y Adj. Chi - Squar e 1 10. 0838 0. 0015 Mant el - Haenszel Chi - Squar e 1 11. 0201 0. 0009 Phi Coef f i ci ent 0. 1859 Cont i ngency Coef f i ci ent 0. 1827 Cr amer ' s V 0. 1859 Fi sher ' s Exact Test - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Cel l (1, 1) Fr equency (F) 183 Lef t - si ded Pr <= F 0. 9997 Ri ght - si ded Pr >= F 9. 244E- 04 Tabl e Pr obabi l i t y (P) 5. 894E- 04 Two- si ded Pr <= P 0. 0015 Ef f ect i ve Sampl e Si ze = 320 Fr equency Mi ssi ng = 10 par t (par t ) * i nt end (i nt end) - 109 -
Fr equency Cel l Chi - Squar e i nt end i nt end Row Pct (No) (Yes ) Tot al - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - par t 31 104 135 (No) 6. 722 1. 1376 22. 96 77. 04 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - par t 2 91 93 (Yes ) 9. 7577 1. 6513 2. 15 97. 85 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Tot al 33 195 228 Fr equency Mi ssi ng = 102 St at i st i cs f or Tabl e of par t by i nt end St at i st i c DF Val ue Pr ob - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Chi - Squar e 1 19. 2685 <. 0001 Li kel i hood Rat i o Chi - Squar e 1 23. 7441 <. 0001 Cont i nui t y Adj. Chi - Squar e 1 17. 6239 <. 0001 Mant el - Haenszel Chi - Squar e 1 19. 1840 <. 0001 Phi Coef f i ci ent 0. 2907 Cont i ngency Coef f i ci ent 0. 2792 Cr amer ' s V 0. 2907 Fi sher ' s Exact Test - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Cel l (1, 1) Fr equency (F) 31 Lef t - si ded Pr <= F 1. 0000 Ri ght - si ded Pr >= F 2. 228E- 06 Tabl e Pr obabi l i t y (P) 2. 077E- 06 Two- si ded Pr <= P 4. 142E- 06 Ef f ect i ve Sampl e Si ze = 228 Fr equency Mi ssi ng = 102 WARNING: 31% of t he dat a ar e mi ssi ng. 2) know(know) * par t (par t ) Fr equency Cel l Chi - Squar e Row Pct par t (No) par t (Yes ) Tot al - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - know 91 42 133 (No) 7. 0075 7. 5571 68. 42 31. 58 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - know 19 60 79 (Yes ) 11. 797 12. 723 24. 05 75. 95 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Tot al 110 102 212 Fr equency Mi ssi ng = 3 St at i st i cs f or Tabl e of know by par t St at i st i c DF Val ue Pr ob - 110 -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Chi - Squar e 1 39. 0849 <. 0001 Li kel i hood Rat i o Chi - Squar e 1 40. 5375 <. 0001 Cont i nui t y Adj. Chi - Squar e 1 37. 3277 <. 0001 Mant el - Haenszel Chi - Squar e 1 38. 9005 <. 0001 Phi Coef f i ci ent 0. 4294 Cont i ngency Coef f i ci ent 0. 3945 Cr amer ' s V 0. 4294 Fi sher ' s Exact Test - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Cel l (1, 1) Fr equency (F) 91 Lef t - si ded Pr <= F 1. 0000 Ri ght - si ded Pr >= F 2. 595E- 10 Tabl e Pr obabi l i t y (P) 2. 232E- 10 Two- si ded Pr <= P 4. 500E- 10 Ef f ect i ve Sampl e Si ze = 212 Fr equency Mi ssi ng = 3 par t (par t ) * i nt end (i nt end) Fr equency Cel l Chi - Squar e i nt end i nt end Row Pct (No) (Yes ) Tot al - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - par t 36 43 79 (No) 10. 168 3. 7507 45. 57 54. 43 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - par t 9 79 88 (Yes ) 9. 1285 3. 3671 10. 23 89. 77 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Tot al 45 122 167 Fr equency Mi ssi ng = 48 St at i st i cs f or Tabl e of par t by i nt end St at i st i c DF Val ue Pr ob - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Chi - Squar e 1 26. 4146 <. 0001 Li kel i hood Rat i o Chi - Squar e 1 27. 6445 <. 0001 Cont i nui t y Adj. Chi - Squar e 1 24. 6498 <. 0001 Mant el - Haenszel Chi - Squar e 1 26. 2565 <. 0001 Phi Coef f i ci ent 0. 3977 Cont i ngency Coef f i ci ent 0. 3696 Cr amer ' s V 0. 3977 Fi sher ' s Exact Test - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Cel l (1, 1) Fr equency (F) 36 Lef t - si ded Pr <= F 1. 0000 Ri ght - si ded Pr >= F 2. 048E- 07 Tabl e Pr obabi l i t y (P) 1. 787E- 07 Two- si ded Pr <= P 2. 410E- 07 Ef f ect i ve Sampl e Si ze = 167 Fr equency Mi ssi ng = 48 WARNING: 22% of t he dat a ar e mi ssi ng. - 111 -
3. 1) pr oc i ml ; st ar t quant i i i ; r eset nol og; f =f +20 0 ; dr = f [, +] ; dc=f [+, ] ; n=sum(f ) ; g=di ag(1/ sqr t (dr ) ) *f *di ag(1/ sqr t (dc ) ) ; cal l svd(u, q, V, G) ; ei genval =(q#q) `; c=mi n(nr ow(f ), ncol (f ) ) ; ei gen=ei genval [2 :c ] ; cor r = q[2 :c ] ; per cent = ei gen/ (sum(ei genval )- 1 ) *100 ; X=di ag(sqr t (n/ dr ) ) *U; X1_x2=x[, 2 :3 ] ; y= di ag(sqr t (n/ dc ) ) *V; y1_y2=y[, 2 :3 ] ; pr i nt,, "Quant i f i cat i on Met hod I I I usi ng sas/ i ml Pr ogr am"; pr i nt, "Response Pat t er n Mat r i x", f [f or mat =7. 0 ], ; pr i nt, "ei genval ues and per cent age (%) " ; pr i nt, cor r [f or mat =6. 4 ] ei gen[f or mat =6. 4 ] per cent [f or mat = 6. 2 ] ; pr i nt, "r ow scor e ", X1_X2[f or mat = 8. 4 ], ; pr i nt, "col umn scor e ", Y1_Y2[f or mat = 8. 4 ], ; r eset l og; f i ni sh; f ={83 13 142 34, 28 5 63 12, 2 9 9 6 0 3 1, 2 0 7 2 8 7, 110 18 197 42, 43 23 84 22, 2 1 6 16 2 0, 2 1 6 4, 7 5 22 17, 7 1 3 1 169 6 4, 7 0 13 2, 14 12 19 29, 7 1 14 122 7 0, 3 0 1 1 1, 3 3 10 8 1 2 1, 8 9 18 4 }; r un quant i i i ; Quant i f i cat i on Met hod I I I usi ng sas/ i ml Pr ogr am Response Pat t er n Mat r i x F 283 213 342 234 228 205 263 212 229 209 260 231 220 207 228 207 310 218 397 242 243 223 284 222 221 206 216 220 202 201 206 204 207 205 222 217 271 231 369 264 207 200 213 202 214 212 219 229 271 214 322 270 203 200 211 201 233 210 281 221 208 209 218 204-112 -
ei genval ues and per cent age (%) CORR EIGEN PERCENT 0. 0726 0. 0053 90. 21 0. 0194 0. 0004 6. 47 0. 0139 0. 0002 3. 32 r ow scor e X1_X2-1. 3368 0. 7019-0. 1480 0. 5302 0. 1876-0. 9050 0. 6257 0. 9979-2. 0494 0. 9491-0. 1842 1. 0981 1. 0187-0. 2202 1. 0781 0. 2763 0. 8835-0. 6240-1. 1715-1. 1838 0. 8444 0. 5980 1. 1739-1. 0180-0. 6019-2. 3692 0. 8984 0. 5362-0. 3391 0. 1104 0. 9096 0. 9774 col umn scor e Y1_Y2-0. 1756 0. 7114 1. 1900 1. 0361-1. 3908-0. 0822 0. 7175-1. 6210 Input r egi on $ di m1 di m2; CARDS; a - 1. 3368 0. 7019 b - 0. 1480 0. 5302 c 0. 1876-0. 9050 d 0. 6257 0. 9979 e - 2. 0494 0. 9491 f - 0. 1842 1. 0981 g 1. 0187-0. 2202 h 1. 0781 0. 2763 i 0. 8835-0. 6240 j - 1. 1715-1. 1838 k 0. 8444 0. 5980 l 1. 1739-1. 0180 m - 0. 6019-2. 3692 n 0. 8984 0. 5362 o - 0. 3391 0. 1104 p 0. 9096 0. 9774 A - 0. 1756 0. 7114 B 1. 1900 1. 0361 C - 1. 3908-0. 0822 D 0. 7175-1. 6210 Pr oc PLOT; PLOT di m1 * di m2 = r egi on/ box vaxi s = - 4 t o 2 haxi s = - 1. 5 t o 9 vpos = 40 hpos = 70 vr ef = 0. 0 hr ef = 0. 0; r un; 2) pr oc i ml ; st ar t quant i i i ; r eset nol og; f =f +20 0 ; dr = f [, +] ; dc=f [+, ] ; n=sum(f ) ; - 113 -
g=di ag(1/ sqr t (dr ) ) *f *di ag(1/ sqr t (dc ) ) ; cal l svd(u, q, V, G) ; ei genval =(q#q) `; c=mi n(nr ow(f ), ncol (f ) ) ; ei gen=ei genval [2 :c ] ; cor r = q[2 :c ] ; per cent = ei gen/ (sum(ei genval )- 1 ) *100 ; X=di ag(sqr t (n/ dr ) ) *U; X1_x2=x[, 2 :3 ] ; y= di ag(sqr t (n/ dc ) ) *V; y1_y2=y[, 2 :3 ] ; pr i nt,, "Quant i f i cat i on Met hod I I I usi ng sas/ i ml Pr ogr am"; pr i nt, "Response Pat t er n Mat r i x", f [f or mat =7. 0 ], ; pr i nt, "ei genval ues and per cent age (%) " ; pr i nt, cor r [f or mat =6. 4 ] ei gen[f or mat =6. 4 ] per cent [f or mat = 6. 2 ] ; pr i nt, "r ow scor e ", X1_X2[f or mat = 8. 4 ], ; pr i nt, "col umn scor e ", Y1_Y2[f or mat = 8. 4 ], ; r eset l og; f i ni sh; f ={45 62 20 67, 8 15 4 4, 29 30 19 20, 18 13 8 8, 30 18 46 14, 14 13 5 10, 12 3 6 23, 8 11 9 9, 15 12 5 11, 55 46 40 84, 16 10 12 6, 17 12 18 5, 34 42 34 39, 2 4 1 2, 7 12 18 0, 7 7 12 18 }; r un quant i i i ; Quant i f i cat i on Met hod I I I usi ng sas/ i ml Pr ogr am Response Pat t er n Mat r i x F 245 262 220 267 208 215 204 204 229 230 219 220 218 213 208 208 230 218 246 214 214 213 205 210 212 203 206 223 208 211 209 209 215 212 205 211 255 246 240 284 216 210 212 206 217 212 218 205 234 242 234 239 202 204 201 202 207 212 218 200 207 207 212 218 ei genval ues and per cent age (%) CORR EIGEN PERCENT 0. 0297 0. 0009 73. 42 0. 0160 0. 0003 21. 36 0. 0079 0. 0001 5. 21 r ow scor e X1_X2-2. 1283 1. 4614 0. 1590 1. 1998 0. 1541 1. 0875 0. 2503 0. 5316 1. 9534-1. 2679-0. 0610 0. 5308-0. 6787-1. 6159-114 -
0. 1858 0. 0817-0. 1019 0. 3530-1. 7679-1. 9593 0. 5916 0. 0746 0. 9679 0. 0429-0. 0934 0. 3794 0. 1351 0. 1589 1. 1859 0. 3005-0. 1319-1. 1916 col umn scor e Y1_Y2 0. 2029 0. 1250-0. 1761 1. 5803 1. 4028-0. 7750-1. 4048-0. 9396 Dat a quant i i i ; Input r egi on $ di m1 di m2; CARDS; a - 2. 1283 1. 4614 b 0. 1590 1. 1998 c 0. 1541 1. 0875 d 0. 2503 0. 5316 e 1. 9534-1. 2679 f - 0. 0610 0. 5308 g - 0. 6787-1. 6159 h 0. 1858 0. 0817 i - 0. 1019 0. 3530 j - 1. 7679-1. 9593 k 0. 5916 0. 0746 l 0. 9679 0. 0429 m - 0. 0934 0. 3794 n 0. 1351 0. 1589 o 1. 1859 0. 3005 p - 0. 1319-1. 1916 A 0. 2029 0. 1250 B - 0. 1761 1. 5803 C 1. 4028-0. 7750 D - 1. 4048-0. 9396 Pr oc PLOT; PLOT di m1 * di m2 = r egi on/ box vaxi s = - 4 t o 2 haxi s = - 1. 5 t o 9 vpos = 40 hpos = 70 vr ef = 0. 0 hr ef = 0. 0; r un; - 115 -
A b s tract A S tu dy on th e Im pac t of th e P lac e M ark etin g on th e Citiz e n 's W ay of T hin kin g : A Case Study on Bucheon and Koy ang City in Kyonggi- Do K y u n g, D o - H y un D e part m en t of U rb an E n g in e erin g, Gradu at e S ch ool, U n iv ers it y A dv i s e d by of S e ou l P rof. K im, Ch an g - S e ok T he purpose of this study is to analyze the impacts and values of the Place Marketing based on city image and economic regeneration through the citizen 's w ay of thinking. Now aday s, the Place Marketing promoted as a new city management strategy on which have much effected the region s. So, this study is compared and analyzed that the place marketing comes up to the regions in a case of Bucheon city 's Puchon International F antastic Film F estivals (PIFAN) and Koyang city ' s World Flower Exhibition Koyang (WFEK) in Kyonggi- Do. T he analysis carried out a ANOVA, Chi- square(x ) test and Logistic Regres sion Analy sis and compared with Bucheon and Koyang city u sing the basic statistics. T he major finding s of this study are as follow s; First, the more a knowledge on the place marketing is low, the more a participation is low and the more a participation is low, the more a - 116 -
participation intention is low. It needs to operate Public Relations (PR) and Marketing on festivals and events. Second, a much problem of the place marketing is a low participation of the citizen. It needs to effort for citizen 's participation by the local governments. T he results as compared with Bucheon and Koyang city on the Place Marketing, the former operated on the sense of place based on marketing by cultural policy, the latter operated on marketing based on the sen se of place by flow ering plant industry. F urther, the Place Marketing v alues of Koyang city is larger than Bucheon city by Contingent Valuation Method(CVM ). In conclusion s, for the successful place marketing, it must achieve the Place marketing 's purpose through citizen participation as w ell as attract and raise of allied indu stries. In order to solv e these, it must be con solidated the Place Marketing 's Public Relation s (PR). Key Words : the P lace M ark eting, the S ens e of P lace, Cultural S trategy, City M anag em en t, A N OVA, T - tes t, Chi- S quare T es t, Quan tif ication M ethod, L og is tic R eg ress ion A naly s is, CVM, B ucheon, P I FA N, K oy ang, W F E K - 117 -
.. ( )? 2., 2.....,.,,,,,., 1 (Ka rl Poppe r)., 2 ( ) 3,,,,,,,,., 1,,,,,. 4,,,,,.,,,,,,,,,, - 118 -
.. GOD....,,,,,,,,,,,,,.,,,.,,,,.,,,,,.,,., 10 2001 ( ). 2002 30,,,. 2001 12... - 119 -