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M A E S T R Í A E N C O M U N I C A C I Ó N | S E M E S T R E 2 D E 4
U N I V E R S I D A D I B E R O A M E R I C A N A , C I U D A D D E M É X I C O
!
G E R A R D O S Á N C H E Z
G E R O . S A N C H E Z . H D @ G M A I L . C O M
!
1 D E A B R I L D E 2 0 1 4
!
!
!
!
C O L O Q U I O D E E S T U D I A N T E S
AVA N C E S D E I N V E S T I G A C I Ó N
¿ E X I S T E U N P R O B L E M A D E
C O M U N I C A C I Ó N E N E L S I S T E M A D E
S E Ñ A L I Z A C I Ó N V I A L D E L A C I U D A D D E
M É X I C O Y S U Á R E A M E T R O P O L I TA N A ?
!
S Í H AY
!
H I P Ó T E S I S
D E S O R I E N TA _
E X I S T E D O N D E N O D E B E _
N O E X I S T E D O N D E D E B E _
E S U N S I S T E M A H E T E R O G É N E O _
!
¿ C O N F Í O E N E L S I S T E M A ? _
!
¿ S É A D Ó N D E M E D I R I G E ? _
!
!
!
¿ P O R Q U É ?
A N A L I Z A R , D E S D E U N A P E R S P E C T I VA
S E M I O L Ó G I C A Y E T N O G R Á F I C A ,
L A S E Ñ A L I Z A C I Ó N V I A L D E
L A C I U D A D D E M É X I C O …
[ E S T U D I O D E C A S O ]
O B J E T I V O
… U T I L I Z A N D O C O M O M U E S T R A C O M PA R AT I VA :
L A S S E Ñ A L I Z A C I O N E S D E D I R E C C I Ó N
D E L P E R I F É R I C O N O RT E ,
T R A M O F U E N T E D E P E T R Ó L E O S – VA L L E D O R A D O ,
D I R E C C I Ó N S U R – N O RT E .
!
P E R I F É R I C O N O RT E ,
T R AY E C T O
F. P E T R Ó L E O S – VA L L E D O R A D O ,
D I R E C C I Ó N
S U R – N O RT E
S O N 1 5 , 5 K M
R E P R E S E N TA E L
0 . 1 5 % D E L T O TA L
D E L A R E D V I A L
D E L D . F.
!
R E D V I A L T O TA L
1 0 , 1 8 2 . 2 K M
Red vial total:!
10,182.2 KM!
P E R I F É R I C O N O RT E ,
T R AY E C T O
F. P E T R Ó L E O S – VA L L E D O R A D O ,
D I R E C C I Ó N
S U R – N O RT E
1 0 2 M I L
V I A J E S
A P R O X . E N E L
0 . 1 5 % D E L T O TA L
D E L A R E D V I A L
D E L D . F.
!
R E D V I A L T O TA L
1 0 , 1 8 2 . 2 K M
Red vial total:!
10,182.2 KM!
6 . 8 M I L L O N E S
D E V I A J E S
E N A U T O
E N D Í A H Á B I L
( S E T R AV I , 2 0 0 7 )
!
R E D V I A L T O TA L
1 0 , 1 8 2 . 2 K M
( M O V I M E T. C O M , 2 0 1 3 )
O B J E T I V O S E S P E C Í F I C O S
E M I S O R R E C E P T O RM E D I O
A N Á L I S I S
S E M I O L Ó G I C O
E S T U D I O
E T N O G R Á F I C O
!
I N V E S T I G A C I Ó N
+ +
P R O P U E S T A
M A R C O T E Ó R I C O
A N Á L I S I S
S E M I O L Ó G I C O
E S T U D I O
E T N O G R Á F I C O
!
I N V E S T I G A C I Ó N
F E R D I N A N D D E
S A U S S U R E
_ S I S T E M A Y
S I N TA G M A
!
L O U I S H J E L M S L E V
_ L E N G U A Y H A B L A
M A R C A U G É
_ L O S N O L U G A R E S
!
T O M VA N D E R B I LT
_ T R A F F I C
P O R D E F I N I R
+ +
¿ M AT E R I A L E S ?
A N Á L I S I S
S E M I O L Ó G I C O
E S T U D I O
E T N O G R Á F I C O
!
I N V E S T I G A C I Ó N
+ +
¿ N O M B R E D E AV E N I D A ?
¿ N O M B R E D E L U G A R ?
¿ N O M B R E D E C I U D A D ?
¿ A P O YA R Á N L A P O S I B I L I D A D D E
U N S I S T E M A M Á S
E F I C I E N T E ,
F U N C I O N A L
O C O N R E L A C I Ó N C O S T O / B E N E F I C I O ?
!
¿ R E S U LTA D O S ?
A L F I N A L D E L A N Á L I S I S L O S A B R E M O S
!
N O P R E T E N D O VA L I D E Z C I E N T Í F I C A ,
S Í U N A A P R O X I M A C I Ó N
D E E S C A L A M A N E J A B L E
!
¿ R E S U LTA D O S ?
S E Ñ A L I Z A C I Ó N ,
D I R E C C I Ó N
Y C O N F U S I Ó N
¿ ?
– H T T P : / / W W W. M O V I M E T. C O M / 2 0 0 7 / 0 7 / S O N - U N - A C E R T I J O - S E N A L A M I E N T O S -
R E G I O S /
Aunque la intención fue buena,
su ejecución ha causado confusión con los automovilistas
que no residen en la ciudad de Monterrey, Nuevo León.
FA C T O R E S P R E L I M I N A R E S Q U E
A P O YA R Í A N E L A N Á L I S I S
!
!
PA R Á M E T R O S D E A N Á L I S I S
C I U D A D D E M É X I C O
V I E R N E S 1 9 : 0 0 H .
6 6 , 8 K M
1 H O R A
G O O G L E M A P S
C U A U T I T L Á N I Z C A L L I
A T L A H U Á C
9 9 , 6 K M
2 H O R A S
Y O S I N G O O G L E
M A P S
C U A U T I T L Á N I Z C A L L I
A T L A H U Á C
– D H YA N A Q U I N TA N A R ,
D I R E C T O R A D E P L A N E A C I Ó N Y V I A L I D A D D E L A S E T R AV I
“Cuando no hay claridad en cómo están señalizadas nuestras calles,
no se nos permite tener certeza sobre cómo comportarnos…”
C O M P L I C A M A L A S E Ñ A L I Z A C I Ó N A P L I C A C I Ó N D E L A L E Y
H T T P : / / W W W. E X C E L S I O R . C O M . M X / C O M U N I D A D / 2 0 1 3 / 0 4 / 1 0 / 8 9 3 3 0 1
C O L . D E L VA L L E S U R
( D . F. )
A
C O L . F U E N T E S D E S AT É L I T E
( E S TA D O D E M É X I C O )
2 3 . 6 6 K M
2 7 M I N S
WA Z E ( A P P )
C O L . D E L VA L L E S U R
( D . F. )
A
C O L . F U E N T E S D E S AT É L I T E
( E S TA D O D E M É X I C O )
R E A L I D A D
2 3 . 6 6 K M E N 3 3 M I N S
WA Z E ( A P P ) + Y O
C O S T O
$ 5 3 , 5 2 5 , 0 0 0 . 0 0
¿ O R I G E N –
D E S T I N O ?
!
( ( ( E N V I V O ) ) )
¿ C Ó M O S E T R A Z A
L A M E J O R R U TA ?
!
S M A RT P H O N E S
+
G P S
+
C R O W D S O U R C I N G
B I G D ATA
C O S T O
¿ $ 0 . 0 0 ?
B I G D ATA /
[ A M U Y G R A N D E S R A S G O S ]
¿ P R O N Ó S T I C O D E
P O S I B L E S Z O N A S D E
E M B O T E L L A M I E N T O
V I A L ?
D I S T R I T O
F E D E R A L
2 0 1 3 A 2 0 1 4
T E N D E N C I A D E
B Ú S Q U E D A S
E N E N
( ( ( E N T I E M P O R E A L ) ) )
U N I V E R S I D A D D E N A I R O B I +
!
C O L U M B I A U N I V E R S I T Y +
!
M I T - M A S S A C H U S E T T S I N S T I T U T E O F T E C H N O L O G Y +
!
D I S P O S I T I V O S G P S / T E L É F O N O S M Ó V I L E S / G O O G L E M A P S +
M A PA F O R M A L D E L S I S T E M A D E T R A N S P O RT E P Ú B L I C O
C Ó M O S E V E E L T R A N S P O RT E P Ú B L I C O
I N F O R M A L D E N A I R O B I , K E N I A ,
C U A N D O S E M A P E A
C A R L O S S C O L A R I , 2 0 1 2
H A C I A U N A S E M I Ó T I C A D E L B I G D ATA
¿ Q U É H A C E M O S , C Ó M O Y PA R A Q U É
I N V E S T I G A M O S E L I N T E R M I N A B L E M A R D E P E TA B Y T E S ?
B I G D ATA / / L E V M A N O V I C H
C U LT U R A L A N A LY T I C S
B I G D ATA
C U LT U R A L
A N A LY T I C S
“Cultural Analytics is the use of
computational methods for the
analysis of massive cultural data
sets and flows, asking questions
interested for humanites…”
M A E S T R Í A E N C O M U N I C A C I Ó N | S E M E S T R E 2 D E 4
U N I V E R S I D A D I B E R O A M E R I C A N A , C I U D A D D E M É X I C O
!
G E R A R D O S Á N C H E Z
G E R O . S A N C H E Z . H D @ G M A I L . C O M
!
1 D E A B R I L D E 2 0 1 4
!
!
!
!
C O L O Q U I O D E E S T U D I A N T E S
AVA N C E S D E I N V E S T I G A C I Ó N

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La movilidad en la Ciudad de México: Análisis y propuesta de rediseño de la señalética vial desde una perspectiva semiológica y etnográfica

  • 1. M A E S T R Í A E N C O M U N I C A C I Ó N | S E M E S T R E 2 D E 4 U N I V E R S I D A D I B E R O A M E R I C A N A , C I U D A D D E M É X I C O ! G E R A R D O S Á N C H E Z G E R O . S A N C H E Z . H D @ G M A I L . C O M ! 1 D E A B R I L D E 2 0 1 4 ! ! ! ! C O L O Q U I O D E E S T U D I A N T E S AVA N C E S D E I N V E S T I G A C I Ó N
  • 2. ¿ E X I S T E U N P R O B L E M A D E C O M U N I C A C I Ó N E N E L S I S T E M A D E S E Ñ A L I Z A C I Ó N V I A L D E L A C I U D A D D E M É X I C O Y S U Á R E A M E T R O P O L I TA N A ? !
  • 3. S Í H AY ! H I P Ó T E S I S
  • 4. D E S O R I E N TA _ E X I S T E D O N D E N O D E B E _ N O E X I S T E D O N D E D E B E _ E S U N S I S T E M A H E T E R O G É N E O _ ! ¿ C O N F Í O E N E L S I S T E M A ? _ ! ¿ S É A D Ó N D E M E D I R I G E ? _ ! ! ! ¿ P O R Q U É ?
  • 5. A N A L I Z A R , D E S D E U N A P E R S P E C T I VA S E M I O L Ó G I C A Y E T N O G R Á F I C A , L A S E Ñ A L I Z A C I Ó N V I A L D E L A C I U D A D D E M É X I C O … [ E S T U D I O D E C A S O ] O B J E T I V O
  • 6. … U T I L I Z A N D O C O M O M U E S T R A C O M PA R AT I VA : L A S S E Ñ A L I Z A C I O N E S D E D I R E C C I Ó N D E L P E R I F É R I C O N O RT E , T R A M O F U E N T E D E P E T R Ó L E O S – VA L L E D O R A D O , D I R E C C I Ó N S U R – N O RT E . !
  • 7. P E R I F É R I C O N O RT E , T R AY E C T O F. P E T R Ó L E O S – VA L L E D O R A D O , D I R E C C I Ó N S U R – N O RT E S O N 1 5 , 5 K M R E P R E S E N TA E L 0 . 1 5 % D E L T O TA L D E L A R E D V I A L D E L D . F. ! R E D V I A L T O TA L 1 0 , 1 8 2 . 2 K M Red vial total:! 10,182.2 KM!
  • 8. P E R I F É R I C O N O RT E , T R AY E C T O F. P E T R Ó L E O S – VA L L E D O R A D O , D I R E C C I Ó N S U R – N O RT E 1 0 2 M I L V I A J E S A P R O X . E N E L 0 . 1 5 % D E L T O TA L D E L A R E D V I A L D E L D . F. ! R E D V I A L T O TA L 1 0 , 1 8 2 . 2 K M Red vial total:! 10,182.2 KM! 6 . 8 M I L L O N E S D E V I A J E S E N A U T O E N D Í A H Á B I L ( S E T R AV I , 2 0 0 7 ) ! R E D V I A L T O TA L 1 0 , 1 8 2 . 2 K M ( M O V I M E T. C O M , 2 0 1 3 )
  • 9. O B J E T I V O S E S P E C Í F I C O S E M I S O R R E C E P T O RM E D I O A N Á L I S I S S E M I O L Ó G I C O E S T U D I O E T N O G R Á F I C O ! I N V E S T I G A C I Ó N + + P R O P U E S T A
  • 10. M A R C O T E Ó R I C O A N Á L I S I S S E M I O L Ó G I C O E S T U D I O E T N O G R Á F I C O ! I N V E S T I G A C I Ó N F E R D I N A N D D E S A U S S U R E _ S I S T E M A Y S I N TA G M A ! L O U I S H J E L M S L E V _ L E N G U A Y H A B L A M A R C A U G É _ L O S N O L U G A R E S ! T O M VA N D E R B I LT _ T R A F F I C P O R D E F I N I R + +
  • 11. ¿ M AT E R I A L E S ? A N Á L I S I S S E M I O L Ó G I C O E S T U D I O E T N O G R Á F I C O ! I N V E S T I G A C I Ó N + + ¿ N O M B R E D E AV E N I D A ? ¿ N O M B R E D E L U G A R ? ¿ N O M B R E D E C I U D A D ?
  • 12. ¿ A P O YA R Á N L A P O S I B I L I D A D D E U N S I S T E M A M Á S E F I C I E N T E , F U N C I O N A L O C O N R E L A C I Ó N C O S T O / B E N E F I C I O ? ! ¿ R E S U LTA D O S ?
  • 13. A L F I N A L D E L A N Á L I S I S L O S A B R E M O S ! N O P R E T E N D O VA L I D E Z C I E N T Í F I C A , S Í U N A A P R O X I M A C I Ó N D E E S C A L A M A N E J A B L E ! ¿ R E S U LTA D O S ?
  • 14. S E Ñ A L I Z A C I Ó N , D I R E C C I Ó N Y C O N F U S I Ó N
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. ¿ ?
  • 20.
  • 21. – H T T P : / / W W W. M O V I M E T. C O M / 2 0 0 7 / 0 7 / S O N - U N - A C E R T I J O - S E N A L A M I E N T O S - R E G I O S / Aunque la intención fue buena, su ejecución ha causado confusión con los automovilistas que no residen en la ciudad de Monterrey, Nuevo León.
  • 22.
  • 23.
  • 24.
  • 25. FA C T O R E S P R E L I M I N A R E S Q U E A P O YA R Í A N E L A N Á L I S I S ! ! PA R Á M E T R O S D E A N Á L I S I S
  • 26. C I U D A D D E M É X I C O V I E R N E S 1 9 : 0 0 H .
  • 27.
  • 28. 6 6 , 8 K M 1 H O R A G O O G L E M A P S C U A U T I T L Á N I Z C A L L I A T L A H U Á C
  • 29. 9 9 , 6 K M 2 H O R A S Y O S I N G O O G L E M A P S C U A U T I T L Á N I Z C A L L I A T L A H U Á C
  • 30. – D H YA N A Q U I N TA N A R , D I R E C T O R A D E P L A N E A C I Ó N Y V I A L I D A D D E L A S E T R AV I “Cuando no hay claridad en cómo están señalizadas nuestras calles, no se nos permite tener certeza sobre cómo comportarnos…” C O M P L I C A M A L A S E Ñ A L I Z A C I Ó N A P L I C A C I Ó N D E L A L E Y H T T P : / / W W W. E X C E L S I O R . C O M . M X / C O M U N I D A D / 2 0 1 3 / 0 4 / 1 0 / 8 9 3 3 0 1
  • 31. C O L . D E L VA L L E S U R ( D . F. ) A C O L . F U E N T E S D E S AT É L I T E ( E S TA D O D E M É X I C O ) 2 3 . 6 6 K M 2 7 M I N S WA Z E ( A P P )
  • 32. C O L . D E L VA L L E S U R ( D . F. ) A C O L . F U E N T E S D E S AT É L I T E ( E S TA D O D E M É X I C O ) R E A L I D A D 2 3 . 6 6 K M E N 3 3 M I N S WA Z E ( A P P ) + Y O
  • 33.
  • 34.
  • 35. C O S T O $ 5 3 , 5 2 5 , 0 0 0 . 0 0
  • 36. ¿ O R I G E N – D E S T I N O ? ! ( ( ( E N V I V O ) ) )
  • 37. ¿ C Ó M O S E T R A Z A L A M E J O R R U TA ? ! S M A RT P H O N E S + G P S + C R O W D S O U R C I N G B I G D ATA
  • 38. C O S T O ¿ $ 0 . 0 0 ?
  • 39. B I G D ATA / [ A M U Y G R A N D E S R A S G O S ]
  • 40.
  • 41. ¿ P R O N Ó S T I C O D E P O S I B L E S Z O N A S D E E M B O T E L L A M I E N T O V I A L ?
  • 42. D I S T R I T O F E D E R A L 2 0 1 3 A 2 0 1 4
  • 43. T E N D E N C I A D E B Ú S Q U E D A S E N E N ( ( ( E N T I E M P O R E A L ) ) )
  • 44.
  • 45. U N I V E R S I D A D D E N A I R O B I + ! C O L U M B I A U N I V E R S I T Y + ! M I T - M A S S A C H U S E T T S I N S T I T U T E O F T E C H N O L O G Y + ! D I S P O S I T I V O S G P S / T E L É F O N O S M Ó V I L E S / G O O G L E M A P S + M A PA F O R M A L D E L S I S T E M A D E T R A N S P O RT E P Ú B L I C O
  • 46. C Ó M O S E V E E L T R A N S P O RT E P Ú B L I C O I N F O R M A L D E N A I R O B I , K E N I A , C U A N D O S E M A P E A
  • 47. C A R L O S S C O L A R I , 2 0 1 2 H A C I A U N A S E M I Ó T I C A D E L B I G D ATA
  • 48. ¿ Q U É H A C E M O S , C Ó M O Y PA R A Q U É I N V E S T I G A M O S E L I N T E R M I N A B L E M A R D E P E TA B Y T E S ?
  • 49. B I G D ATA / / L E V M A N O V I C H C U LT U R A L A N A LY T I C S
  • 50. B I G D ATA C U LT U R A L A N A LY T I C S “Cultural Analytics is the use of computational methods for the analysis of massive cultural data sets and flows, asking questions interested for humanites…”
  • 51.
  • 52. M A E S T R Í A E N C O M U N I C A C I Ó N | S E M E S T R E 2 D E 4 U N I V E R S I D A D I B E R O A M E R I C A N A , C I U D A D D E M É X I C O ! G E R A R D O S Á N C H E Z G E R O . S A N C H E Z . H D @ G M A I L . C O M ! 1 D E A B R I L D E 2 0 1 4 ! ! ! ! C O L O Q U I O D E E S T U D I A N T E S AVA N C E S D E I N V E S T I G A C I Ó N