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DATAL A B M E TR O
Gulnaz Aksenova & Artur Shakhbazyan
UR B A N D ATA G OE S PER S O N AL
Data as a means of understanding the interaction
between citizens and the city
Image credits: Fox; Abigail Daker
Image credits: Fox; Abigail Daker
Data as a means of understanding the interaction
between citizens and the city
U R B A N D A T A
M a c r o d a t a
U s e r - g e n e r a t e d d a t a
S t a t i s t i c s
B i o d a t a
E n v i r o n m e n t a l d a t a
Image credits: Brian Black
Image credits: Oliver Oā€™Brien, London City Dashboard
W H A T I S T H E P O T E N T I A L ?
Christian Nold, Bartlett, UCLMichael Holland, NYU Mara Balestrini, UCL, ICRI
T R A N S P O R T + I N F R A S T U C T U R E + P E O P L E =
Image credits: Yuri Degtyarev; KVenz
U N I Q U E / R E G U L A T E D
Image credits: appaIoosa
A U G E
ā€” Marc AugĆ©
ā€œ...the subway plays the
role of a magnifying mirror
that invites us to take
account of a phenomenon
that, without it, we
might risk or perhaps
try to be unaware of.ā€
M A C R O D A T A / S T A T I S T I C S
6-7 7-8 8-9 10-11 11-12
9-10
Metro traffic
6:00 am - 12:00 am
Morning passenger traffic
6:00 - 12:00
6-7 7-8 8-9 10-11 11-12
9-10
Metro traffic
6:00 am - 12:00 am
Imagecredits:MattGroening
Morning passenger traffic
6:00 - 12:00
Temperature measures at
the stations
C O L L E C T E D O N C E A M O N T H
N O E X A C T T I M E
N O S I G N I F I C A N T R E A S O N
Temperature measures at
the stations
C O L L E C T E D O N C E A M O N T H
N O E X A C T T I M E
N O S I G N I F I C A N T R E A S O N
Imagecredits:MattGroening
Temperature measures at
the stations
Sources: Moscow metro official website (www.mosmetro.ru),
Brand Media marketing company (http://www.brand-met-
ro.ru/)
Hourly distribution
of ridership in one day
Tagansko-Krasnopresnenskaya
Serpuhovsko-Timiryazevskaya
Zamoskvoreckaya
Kalugsko-Rigskaya
60000
30000
120000
150000
90000
6:00
7:00
11:00
12:00
00:00
01:00
23:00
00:00
7:00
8:00
8:00
9:00
Kahovskaya
Butovskaya
Arbatsko-Pokrovskaya
Sokolnicheskaya
Lublinskaya
Kalininskaya
Kolcevaya
MEN 55.1%
ABOVE 46 38.5%
MARRIED 53.8%
HIGHER EDUCATION 72.2%
WORKER, BUILDER 14.4%
WOMAN 53.3%
ABOVE 46 26,7%
MARRIED 48%
HIGHER EDUCATION 72.2%
SERVICE 22,7%
WOMAN 54.3%
19-22 YEARS OLD 24,7%
NOT MARRIED 63%
HIGHER EDUCATION 72.2%
STUDENTS UNKNOWN %
WOMAN 54.4%
19-22 YEARS OLD 30.4%
NOT MARRIED 51.9%
HIGHER EDUCATION 72.2%
STUDENTS 30.8%
WOMAN 60.8%
23-27 YEARS OLD 34.2%
NOT MARRIED 57%
HIGHER EDUCATION 62%
STUDENTS 24.7%
MAN 69.7%
19-22 YEARS OLD 37.2%
NOT MARRIED 64.9%
HIGHER EDUCATION 76.9%
SHOPPING MALL WORKERS24.7%
Source: Moscow metro; Brand Media
Macrodata averages the image and does
not exactly reflects the reality
Macrodata averages the image and does
not exactly reflects the reality
finer resolution
personal data
social networks
individual scale
U S E R - G E N E R A T E D D A T A
5 T W E E T S / H O U R
8 0 % R E T W E E T F O U R S Q U A R E
A P I L I M I T A T I O N S
Twitter as a source of data
related to metro
5 T W E E T S / H O U R
8 0 % R E T W E E T F O U R S Q U A R E
A P I L I M I T A T I O N S
Imagecredits:MattGroening
Twitter as a source of data
related to metro
350000users checked-in 1,35million times
source: foursquare.com
Yugo-Zapadnaya 21 689
Kitay-gorod 20 313
Vykhino 19 512
Kiyevskaya 18 257
VDNH 17 766
Top-5 stations by number
of check-ins
source: foursquare.com / Moscow metro
Check-ins / official statistics
comparison
source: foursquare.com / stroi.mos.ru
check-ins regularity
functional zones
maximum
residential
minimum
public
Regularity of check-ins
ā€œPlace attachmentā€
City context influence how
people behave in the metro.
These changes can be traced through
their online activity.
Hence, user-generated data collected in
the metro reflects larger-scale urban
environment
B I O - A N D E N V I R O N M E N T A L D A T A
source: mk.ru
Sensory experience
in crowded metro
BIODATA
BRAIN WAIVES LIGHT INTENSITY
NOISE LEVEL
AIR TEMPERATURE
HUMIDITY
BODY TEMPERATURE
HEART BEAT
GALVANIC SKIN
RESPONSE
ENVIRONMENTAL
DATA
t
t
Body as a module
GALVANIC SKIN RESPONSE SENSOR
MICROPHONE - NOISE SENSOR
HUMIDITY AND TEMPERATURE
(AIR) SENSOR
BODY TEMPERATURE SENSOR
LIQUID-CRYSTAL DISPLAY
USB POWER PACK
ELECTRONIC PROTOTYPING
PLATFORM TEENSY++
BUTTON 1 - BACKLIGHT
SWITCH ON/OFF
BUTTON 2 - RECORD TYPE
SWITCH STATION/TUNNEL
BUTTON 3 - RECORDING
START/STOP
LIGHT INTENSITY SENSOR
Device for data collection
S O K O L N I C H E S K A Y A L I N E :
1 9 S T A T I O N S
3 M I N U T E S / S T A T I O N
T O T A L T I M E : 1 H 3 6
Experiment 1:
Bio- and environmental data collection
Experiment 1:
Bio- and environmental data collection
0 1:36:2630 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 57:00 57:30 58:00 58:30 59:00 59:30 1:00:00 1:00:30 1:01:00 1:01:30 1:02:00 1:02:30 1:03:00 1:03:30 1:04:00 1:04:30 1:05:00 1:05:30 1:06:00 1:06:30 1:07:00 1:07:30 1:08:00 1:08:30 1:09:00 1:09:30 1:10:00 1:10:30 1:11:00 1:11:30 1:12:00 1:12:30 1:13:00 1:13:30 1:14:00 1:14:30 1:15:00 1:15:30 1:16:00 1:16:30 1:17:00 1:17:30 1:18:00 1:18:30 1:19:00 1:19:30 1:20:00 1:20:30 1:21:00 1:21:30 1:22:00 1:22:30 1:23:00 1:23:30 1:24:00 1:24:30 1:25:00 1:25:30 1:26:00 1:26:30 1:27:00 1:27:30 1:28:00 1:28:30 1:29:00 1:29:30 1:30:00 1:30:30 1:31:00 1:31:30 1:32:00 1:32:30 1:33:00 1:33:30 1:34:00 1:34:30 1:35:00 1:35:30
0
100
200
300
400
500
24
26
28
0
100
200
300
400
500
32
30
34
36
38
-40
-20
0
24
26
28
30
26
24 24 24 24 24 24 24 24 24 24 24 2423 23 2323
25 25 25 25 25 25 2525
23 23 23
31 31
BODY TEMPERATURE (C): MY BODY FEELS
32 32
31 31
30
31
30
31
30
31
30 30
28
29
STRESS LEVEL - GALVANIC SKIN RESPONSE (kOhm): I AM EMOTIONAL
TRIP ACROSS 19 STATIONS OF SOKOLNICHESKAYA (RED) LINE OF MOSCOW METRO
ENVIRONMENTAL TEMPERATURE (C): MY BODY FEELS
CROWD (%): MY BODY EXPERIENCES
0.51
2222 33333333 22
4444 5555 66
17/05/2013
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:30 1:35 3:35 1:10 2:45 2:15 5:35 2:15 2:15 1:20 3:00 2:10 4:00 2:35 3:15 1:35 2.251:05
11:36 am 14:01 pm
t
t
LUMINOCITY INTENSITY (%): I SEE NOISE LEVEL (dB): I HEAR
32
30
34
36
38
ENVIRONMENTAL HUMIDITY (%): MY BODY FEELS
34 34
32 32 32 32 32
31 31
34 34 34 34 34 34
YUGO-
ZAPADNAYA
PROSPEKT
VERNADSKOGO
UNIVERSITET VOROBYOVY
GORY
SPORTIVNAYA FRUNZENSKAYA PARK
KULTURY
KROPOTKINSKAYA BIBLIOTEKA
IMENI LENINA
OHOTNY
RYAD
LUBYANKA CHISTYE
PRUDY
KRASNYE
VOROTA
SOKOLNIKI PREOBRAZHENSKAY
PLOSHAD
CHERKIZOVSKAYA ULITSA
PODBELSKOGO
KOMSOMOLSKAYA KRASNOSELSKAYA
300
600
900
-60
Coming home,
Strelka is my
home ha-ha =)
Old lady carying
heavy bag upstairs
makes me sad.... :(
Policeman is
looking at me :0I am excited :)
I have never been here
someone smiling called me
ā€˜Terroristā€™ =O
and took a picture
of me for instagram
Going home to
eat!! Yess!!
I am hungry
and tired
-40
-20
0
300
600
900
-60
Emotions are from experiences
Personal attachments are connected
to memory or special feelings
No stress for wearing device
No feelings to uknown stations
VISUAL SENSORY (CAMERA IMAGE): I SEE
Visualization
of collected data
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 5
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
S T R E S S L E VEL - G ALVA NIC SK IN R E SP O N SE (k O h m): I A M E M O TIO N AL
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 5
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
S TR E S S LE VEL
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
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0
300
600
900
-60
B O DY T E M PER AT U R E (C): M Y B O DY FEEL S
B O DY TE M PER AT UR E
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
L U MIN O CIT Y IN T E N SIT Y (%): I SEE
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
LU MIN O CIT Y IN TEN SIT Y
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
N OISE LE VEL
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
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32
30
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38
34 34
32 32 32
34 34
-40
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300
600
900
-60
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
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30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
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32
30
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34 34
32 32 32
34 34
-40
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300
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E N VIR O N M E N TAL H U MIDIT Y (%): M Y B O DY FEEL S
EN VIR O N M EN TAL H U MIDIT Y
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
E N VIR O N M E N TAL T E M PER AT U R E (C): M Y B O DY FEEL S
EN VIR O N M EN TAL TE M PER AT UR E
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
CR O W D IN TEN SIT YCR O W D IN TEN SIT Y
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00
24
26
28
30
26
24 24 24 24 24 24 2425 25 25 25
23 23 23
31 31
32 32
31 31
30
3333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34
-40
-20
0
300
600
900
-60
VIS U AL SE N S O RY (C A M ER A IM AG E): I SEE
VIS UAL SEN S O RY
0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 5
24
26
28
30
26
24 24 24 24 24 24 24 2423
25 25 25 25
23 23 23
31 31
32 32
31 31
30
31
33333 22
4444 5555 66
2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:30 1:35 3:31:05
11:36 am
t
t
32
30
34
36
38
34 34
32 32 32
34 34 34
-40
-20
0
300
600
900
-60
W E A R IN G T HE D E VICE D OE S N OT C AUSE S TR E S S
3:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 57:00 57:30 58:00 58:30 59:00 59:30 1:00:00 1:00:30 1:01:00 1:01:30 1:02:00 1:02:30 1:03:00 1:03:30 1:04:00 1:04:30 1:05:00 1:05:30 1:06:00 1:06:30 1:07:00 1:07:30 1:08:00 1:08:30 1:09:00 1:09:30 1:10:00 1:10:30 1:11:00 1:11:30 1:12:00 1:12:30 1:13:00 1:13:30 1:14:00 1:14:30 1:15:00 1:15:30 1:16:00 1:16:30 1:17:00 1:17:30 1:18:00 1:18:30 1:19:00 1:19:30 1:20:00 1:20:30 1:21:00 1:21:30 1:22:00
26
24 24 24 24 24 242323
25 25 25 25 2525
23
32 32
31 31
30
31
30
31
30
31
1
2222 33333 444 555 66
1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:30 1:35 3:35 1:10 2:45 2:15 5:35 2:15 2:15 1:20 3:00 2:101:05
32 32 32 32
34 34 34 34 34 34
Coming home,
Strelka is my
home ha-ha =)
someone smiling called me
ā€˜Terroristā€™ =O
and took a picture
of me for instagram
Emotions are from experiences
Personal attachments are connected
to memory or special feelings
1:36:2641:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 57:00 57:30 58:00 58:30 59:00 59:30 1:00:00 1:00:30 1:01:00 1:01:30 1:02:00 1:02:30 1:03:00 1:03:30 1:04:00 1:04:30 1:05:00 1:05:30 1:06:00 1:06:30 1:07:00 1:07:30 1:08:00 1:08:30 1:09:00 1:09:30 1:10:00 1:10:30 1:11:00 1:11:30 1:12:00 1:12:30 1:13:00 1:13:30 1:14:00 1:14:30 1:15:00 1:15:30 1:16:00 1:16:30 1:17:00 1:17:30 1:18:00 1:18:30 1:19:00 1:19:30 1:20:00 1:20:30 1:21:00 1:21:30 1:22:00 1:22:30 1:23:00 1:23:30 1:24:00 1:24:30 1:25:00 1:25:30 1:26:00 1:26:30 1:27:00 1:27:30 1:28:00 1:28:30 1:29:00 1:29:30 1:30:00 1:30:30 1:31:00 1:31:30 1:32:00 1:32:30 1:33:00 1:33:30 1:34:00 1:34:30 1:35:00 1:35:30
0
100
200
300
400
500
32
30
34
36
38
-40
-20
0
24
26
28
26
24 24 24 24 24 2423 23 2323
25 25 25 2525
32
1 31
30
31
30
31
30
31
30 30
28
29
0.51
2222 33334
5
6
3:30 1:30 1:30 1:30 1:35 3:35 1:10 2:45 2:15 5:35 2:15 2:15 1:20 3:00 2:10 4:00 2:35 3:15 1:35 2.251:05
32 32 32 32
31 31
34 34 34 34
300
600
900
-60
Going home to
eat!! Yess!!
No feelings to uknown stations
I am hungry
and tired
N O S T R E S S W HEN N OT HIN G H A PPEN S
MIDDAY TRIP
24/05/2013 12:05 PM
NIGHT TRIP
22/05/2013 00:30 AM
GALVANIC SKIN RESPONSE
BODY TEMPERATURE
AIR TEMPERATURE
LIGHT INTENSITY
NOISE LEVEL
0
50
100
150
200
250
300
350
envSound
0
100
200
300
400
500
0
200
400
600
800
31
32
33
34
35
0
200
400
600
800
1000
1200
0
100
200
300
400
500
S
31
30
29
28
27
26
20
10
30
0
50
100
150
200
250
300
350
10
20
30
MIDDAY TRIP
24/05/2013 12:05 PM
NIGHT TRIP
22/05/2013 00:30 AM
GALVANIC SKIN RESPONSE
BODY TEMPERATURE
AIR TEMPERATURE
LIGHT INTENSITY
NOISE LEVEL
0
50
100
150
200
250
300
350
envSound
0
100
200
300
400
500
0
200
400
600
800
31
32
33
34
35
0
200
400
600
800
1000
1200
0
100
200
300
400
500
S
31
30
29
28
27
26
20
10
30
0
50
100
150
200
250
300
350
10
20
30
S TAT IO N S TAT IO NS TAT IO N S TAT IO N
T U N N EL T U N N ELO U T SID E O U T SID EO U T SID E O U T SID E
Experiment 2:
Regular trip
D AY NIG H T
MIDDAY TRIP
24/05/2013 12:05 PM
NIGHT TRIP
22/05/2013 00:30 AM
GALVANIC SKIN RESPONSE
BODY TEMPERATURE
AIR TEMPERATURE
LIGHT INTENSITY
NOISE LEVEL
0
50
100
150
200
250
300
350
envSound
0
100
200
300
400
500
0
200
400
600
800
31
32
33
34
35
0
200
400
600
800
1000
1200
0
100
200
300
400
500
S
31
30
29
28
27
26
20
10
30
0
50
100
150
200
250
300
350
10
20
30
MIDDAY TRIP
24/05/2013 12:05 PM
NIGHT TRIP
22/05/2013 00:30 AM
GALVANIC SKIN RESPONSE
BODY TEMPERATURE
AIR TEMPERATURE
LIGHT INTENSITY
NOISE LEVEL
0
50
100
150
200
250
300
350
envSound
0
100
200
300
400
500
0
200
400
600
800
31
32
33
34
35
0
200
400
600
800
1000
1200
0
100
200
300
400
500
S
31
30
29
28
27
26
20
10
30
0
50
100
150
200
250
300
350
10
20
30
S TAT IO N S TAT IO NS TAT IO N S TAT IO N
T U N N EL T U N N ELO U T SID E O U T SID EO U T SID E O U T SID E
D AY NIG H TAnalysis of
regular trip
S T R E S S L E V E L
A N D T E M P E R A T U R E
I N C R E A S E
I N T H E M E T R O
BMW health car
source: TECHNISCHE UNIVERSITAET MUENCHEN
Unconcious bodily reactions reflect not only the
immediate environment, but are also connected to
broader context through mental ties.
Contextual changes trigger emotional response,
therefore can be traced through it.
Non-conventional data provides valuable
and distinctive information about the
city.
Context of metro allows efficient and
hassle free collection of this data
In combination with conventional data
it can give much deeper understanding
of processes happening in Moscow
Non-conventional data provides valuable
and distinctive information about the
city.
Context of metro allows efficient and
hassle free collection of this data
In combination with conventional data
it can give much deeper understanding
of processes happening in Moscow
Project: Datalab_metro
M O N I T O R I N G E P I D E M I C D I S E A S E S
SHE IS COUGHING BEHIND ME
ANCHOO!
ANCHOO!
ANCHOO!
ANCHOO!
ANCHOO!
ANCHOO!
ANCHOO!
t_39
colour_red
gender: male
height: 175 cm
hair: dark
Coughing: 75 level
Health:Health: at risk
ATTENTION!
Particles: Intensive
Sound analysis: Strong cough
5 PEOPLE IN ONE TRAIN
Population infection: at risk
ATTENTION!
W E I G H T M E A S U R I N G T U R N S T I L E
source: Maplecroft
m = 76.6Kg
C O L L E C T I N G A N A L Y S I N G V I S U A L I Z I N G
P H A S E 1 :
C O L L E C T I N G
P H A S E 2 :
M O N I T O R I N G
FACE:
IRIS/RETINA OF EYE
BODY:
SPEED OF WALKING
POSTURE
GAIT
WEIGHT
HEIGHT
BEHAVIORAL TRAITS
BIO PROCESSES
HANDS:
PULSE
SWEAT
VOICE:
TONE
PITCH
SKIN:
TEMPERATURE
ENVIRONMENT
WHAT ARE WE
LOOKING FOR
DATA SOURCES
& PRODUCERS
TYPES & PARAMETERS OF DATA
BIO:
PULSE
OXYGENATION
ELECTROCARDIOGRAM
BRAIN ACTIVITY
NERVE SYSTEM ACTIVITY
GALVANIC SKIN RESPONSE
GLUCOMETER
SCALES
VOICE TONE
VOCAL TRACT PROPERTIES
POSITION:
VELOCITY
ACCELERATION
MOVEMENT
GLOBAL POSITIONING SYSTEM
ELECTROMAGNETIC ENVIRONMENT:
CAPACITY
CONDUCTION
MAGNETIC FIELD CHANGE
CURRENT SENSING
ELECTROMAGNETIC WAVES MEASUREMENT
HUMAN-SENSIBLE ENVIRONMENTAL
ATTRIBUTES:
SOUND WAVE AND SOUND PRESSURE
BAROMETRIC PRESSURE
HUMIDITY
TEMPERATURE
AIR MIXTURE
PARTICLES IN THE AIR
LUMINANCE
LIQUID PRESSURE
LIQUID PRESENCE
INVISIBLE ENVIRONMENTAL
CHARACTERISTICS:
GAS MIXTURE
GAS FLOW
LIQUID MIXTURE
CAMERA
SMART PHONES DETECTOR
SMART-CARD
SCANNER
STRESS
OBESITY
INFLUENZA
FACIAL EXPRESSION
HE ALT H C A R E
HE ALT H C A R E
EC O N O M Y
D E M O G R A P HIC S
FACE:
IRIS/RETINA OF EYE
FACIAL
CHARACTERISTICS
BODY:
SPEED OF WALKING
POSTURE
GAIT
PROXIMITY
WEIGHT
HEIGHT
EXTREMITIES
BEHAVIORAL TRAITS
BIO PROCESSES
HANDS:
PULSE
SWEAT
FINGERPRINTS
VOICE:
TONE
PITCH
LANGUAGE
SMELL
SKIN:
COLOUR
TEMPERATURE
ENVIRONMENT
OTHER
WHAT ARE WE
LOOKING FOR
DATA SOURCES
& PRODUCERS
TYPES & PARAMETERS OF DATA
BIO:
PULSE
OXYGENATION
ELECTROCARDIOGRAM
BRAIN ACTIVITY
NERVE SYSTEM ACTIVITY
GALVANIC SKIN RESPONSE
GLUCOMETER
SCALES
VOICE TONE
VOCAL TRACT PROPERTIES
POSITION:
VELOCITY
ACCELERATION
MOVEMENT
GLOBAL POSITIONING SYSTEM
ELECTROMAGNETIC ENVIRONMENT:
CAPACITY
CONDUCTION
MAGNETIC FIELD CHANGE
CURRENT SENSING
ELECTROMAGNETIC WAVES MEASUREMENT
HUMAN-SENSIBLE ENVIRONMENTAL
ATTRIBUTES:
SOUND WAVE AND SOUND PRESSURE
BAROMETRIC PRESSURE
HUMIDITY
TEMPERATURE
AIR MIXTURE
PARTICLES IN THE AIR
LUMINANCE
LIQUID PRESSURE
LIQUID PRESENCE
INVISIBLE ENVIRONMENTAL
CHARACTERISTICS:
GAS MIXTURE
GAS FLOW
LIQUID MIXTURE
INVISIBLE LIGHT WAVES MEASUREMENT
CAMERA
SMART PHONES DETECTOR
SMART-CARD
SCANNER
SMARTPHONE
WIFI
STRESS
OBESITY
INFLUENZA
CLOTHES
SMARTPHONE MODEL
TRAVEL PATTERNS
AGE
GENDER
LANGUAGE
RACE
FRAGRANCE
SMOKING
ALCOHOLISM
DRUG ADDICTION
SHIZOPHRENIA
FACIAL EXPRESSION
MetroData Lab. Urban data goes personal

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MetroData Lab. Urban data goes personal

  • 1. DATAL A B M E TR O Gulnaz Aksenova & Artur Shakhbazyan UR B A N D ATA G OE S PER S O N AL
  • 2. Data as a means of understanding the interaction between citizens and the city Image credits: Fox; Abigail Daker
  • 3. Image credits: Fox; Abigail Daker Data as a means of understanding the interaction between citizens and the city
  • 4. U R B A N D A T A M a c r o d a t a U s e r - g e n e r a t e d d a t a S t a t i s t i c s B i o d a t a E n v i r o n m e n t a l d a t a Image credits: Brian Black
  • 5. Image credits: Oliver Oā€™Brien, London City Dashboard
  • 6. W H A T I S T H E P O T E N T I A L ? Christian Nold, Bartlett, UCLMichael Holland, NYU Mara Balestrini, UCL, ICRI
  • 7.
  • 8. T R A N S P O R T + I N F R A S T U C T U R E + P E O P L E =
  • 9.
  • 10. Image credits: Yuri Degtyarev; KVenz U N I Q U E / R E G U L A T E D
  • 12. A U G E ā€” Marc AugĆ© ā€œ...the subway plays the role of a magnifying mirror that invites us to take account of a phenomenon that, without it, we might risk or perhaps try to be unaware of.ā€
  • 13. M A C R O D A T A / S T A T I S T I C S
  • 14. 6-7 7-8 8-9 10-11 11-12 9-10 Metro traffic 6:00 am - 12:00 am Morning passenger traffic 6:00 - 12:00
  • 15. 6-7 7-8 8-9 10-11 11-12 9-10 Metro traffic 6:00 am - 12:00 am Imagecredits:MattGroening Morning passenger traffic 6:00 - 12:00
  • 17. C O L L E C T E D O N C E A M O N T H N O E X A C T T I M E N O S I G N I F I C A N T R E A S O N Temperature measures at the stations
  • 18. C O L L E C T E D O N C E A M O N T H N O E X A C T T I M E N O S I G N I F I C A N T R E A S O N Imagecredits:MattGroening Temperature measures at the stations
  • 19. Sources: Moscow metro official website (www.mosmetro.ru), Brand Media marketing company (http://www.brand-met- ro.ru/) Hourly distribution of ridership in one day Tagansko-Krasnopresnenskaya Serpuhovsko-Timiryazevskaya Zamoskvoreckaya Kalugsko-Rigskaya 60000 30000 120000 150000 90000 6:00 7:00 11:00 12:00 00:00 01:00 23:00 00:00 7:00 8:00 8:00 9:00 Kahovskaya Butovskaya Arbatsko-Pokrovskaya Sokolnicheskaya Lublinskaya Kalininskaya Kolcevaya MEN 55.1% ABOVE 46 38.5% MARRIED 53.8% HIGHER EDUCATION 72.2% WORKER, BUILDER 14.4% WOMAN 53.3% ABOVE 46 26,7% MARRIED 48% HIGHER EDUCATION 72.2% SERVICE 22,7% WOMAN 54.3% 19-22 YEARS OLD 24,7% NOT MARRIED 63% HIGHER EDUCATION 72.2% STUDENTS UNKNOWN % WOMAN 54.4% 19-22 YEARS OLD 30.4% NOT MARRIED 51.9% HIGHER EDUCATION 72.2% STUDENTS 30.8% WOMAN 60.8% 23-27 YEARS OLD 34.2% NOT MARRIED 57% HIGHER EDUCATION 62% STUDENTS 24.7% MAN 69.7% 19-22 YEARS OLD 37.2% NOT MARRIED 64.9% HIGHER EDUCATION 76.9% SHOPPING MALL WORKERS24.7% Source: Moscow metro; Brand Media
  • 20.
  • 21. Macrodata averages the image and does not exactly reflects the reality
  • 22. Macrodata averages the image and does not exactly reflects the reality
  • 23. finer resolution personal data social networks individual scale
  • 24. U S E R - G E N E R A T E D D A T A
  • 25. 5 T W E E T S / H O U R 8 0 % R E T W E E T F O U R S Q U A R E A P I L I M I T A T I O N S Twitter as a source of data related to metro
  • 26. 5 T W E E T S / H O U R 8 0 % R E T W E E T F O U R S Q U A R E A P I L I M I T A T I O N S Imagecredits:MattGroening Twitter as a source of data related to metro
  • 28. source: foursquare.com Yugo-Zapadnaya 21 689 Kitay-gorod 20 313 Vykhino 19 512 Kiyevskaya 18 257 VDNH 17 766 Top-5 stations by number of check-ins
  • 29. source: foursquare.com / Moscow metro Check-ins / official statistics comparison
  • 30. source: foursquare.com / stroi.mos.ru check-ins regularity functional zones maximum residential minimum public Regularity of check-ins
  • 32. City context influence how people behave in the metro. These changes can be traced through their online activity. Hence, user-generated data collected in the metro reflects larger-scale urban environment
  • 33. B I O - A N D E N V I R O N M E N T A L D A T A
  • 35. BIODATA BRAIN WAIVES LIGHT INTENSITY NOISE LEVEL AIR TEMPERATURE HUMIDITY BODY TEMPERATURE HEART BEAT GALVANIC SKIN RESPONSE ENVIRONMENTAL DATA t t Body as a module
  • 36. GALVANIC SKIN RESPONSE SENSOR MICROPHONE - NOISE SENSOR HUMIDITY AND TEMPERATURE (AIR) SENSOR BODY TEMPERATURE SENSOR LIQUID-CRYSTAL DISPLAY USB POWER PACK ELECTRONIC PROTOTYPING PLATFORM TEENSY++ BUTTON 1 - BACKLIGHT SWITCH ON/OFF BUTTON 2 - RECORD TYPE SWITCH STATION/TUNNEL BUTTON 3 - RECORDING START/STOP LIGHT INTENSITY SENSOR Device for data collection
  • 37. S O K O L N I C H E S K A Y A L I N E : 1 9 S T A T I O N S 3 M I N U T E S / S T A T I O N T O T A L T I M E : 1 H 3 6 Experiment 1: Bio- and environmental data collection
  • 38. Experiment 1: Bio- and environmental data collection
  • 39. 0 1:36:2630 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 57:00 57:30 58:00 58:30 59:00 59:30 1:00:00 1:00:30 1:01:00 1:01:30 1:02:00 1:02:30 1:03:00 1:03:30 1:04:00 1:04:30 1:05:00 1:05:30 1:06:00 1:06:30 1:07:00 1:07:30 1:08:00 1:08:30 1:09:00 1:09:30 1:10:00 1:10:30 1:11:00 1:11:30 1:12:00 1:12:30 1:13:00 1:13:30 1:14:00 1:14:30 1:15:00 1:15:30 1:16:00 1:16:30 1:17:00 1:17:30 1:18:00 1:18:30 1:19:00 1:19:30 1:20:00 1:20:30 1:21:00 1:21:30 1:22:00 1:22:30 1:23:00 1:23:30 1:24:00 1:24:30 1:25:00 1:25:30 1:26:00 1:26:30 1:27:00 1:27:30 1:28:00 1:28:30 1:29:00 1:29:30 1:30:00 1:30:30 1:31:00 1:31:30 1:32:00 1:32:30 1:33:00 1:33:30 1:34:00 1:34:30 1:35:00 1:35:30 0 100 200 300 400 500 24 26 28 0 100 200 300 400 500 32 30 34 36 38 -40 -20 0 24 26 28 30 26 24 24 24 24 24 24 24 24 24 24 24 2423 23 2323 25 25 25 25 25 25 2525 23 23 23 31 31 BODY TEMPERATURE (C): MY BODY FEELS 32 32 31 31 30 31 30 31 30 31 30 30 28 29 STRESS LEVEL - GALVANIC SKIN RESPONSE (kOhm): I AM EMOTIONAL TRIP ACROSS 19 STATIONS OF SOKOLNICHESKAYA (RED) LINE OF MOSCOW METRO ENVIRONMENTAL TEMPERATURE (C): MY BODY FEELS CROWD (%): MY BODY EXPERIENCES 0.51 2222 33333333 22 4444 5555 66 17/05/2013 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:30 1:35 3:35 1:10 2:45 2:15 5:35 2:15 2:15 1:20 3:00 2:10 4:00 2:35 3:15 1:35 2.251:05 11:36 am 14:01 pm t t LUMINOCITY INTENSITY (%): I SEE NOISE LEVEL (dB): I HEAR 32 30 34 36 38 ENVIRONMENTAL HUMIDITY (%): MY BODY FEELS 34 34 32 32 32 32 32 31 31 34 34 34 34 34 34 YUGO- ZAPADNAYA PROSPEKT VERNADSKOGO UNIVERSITET VOROBYOVY GORY SPORTIVNAYA FRUNZENSKAYA PARK KULTURY KROPOTKINSKAYA BIBLIOTEKA IMENI LENINA OHOTNY RYAD LUBYANKA CHISTYE PRUDY KRASNYE VOROTA SOKOLNIKI PREOBRAZHENSKAY PLOSHAD CHERKIZOVSKAYA ULITSA PODBELSKOGO KOMSOMOLSKAYA KRASNOSELSKAYA 300 600 900 -60 Coming home, Strelka is my home ha-ha =) Old lady carying heavy bag upstairs makes me sad.... :( Policeman is looking at me :0I am excited :) I have never been here someone smiling called me ā€˜Terroristā€™ =O and took a picture of me for instagram Going home to eat!! Yess!! I am hungry and tired -40 -20 0 300 600 900 -60 Emotions are from experiences Personal attachments are connected to memory or special feelings No stress for wearing device No feelings to uknown stations VISUAL SENSORY (CAMERA IMAGE): I SEE Visualization of collected data
  • 40. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 5 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 S T R E S S L E VEL - G ALVA NIC SK IN R E SP O N SE (k O h m): I A M E M O TIO N AL 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 5 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 S TR E S S LE VEL
  • 41. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 B O DY T E M PER AT U R E (C): M Y B O DY FEEL S B O DY TE M PER AT UR E
  • 42. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 L U MIN O CIT Y IN T E N SIT Y (%): I SEE 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 LU MIN O CIT Y IN TEN SIT Y
  • 43. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 N OISE LE VEL
  • 44. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 E N VIR O N M E N TAL H U MIDIT Y (%): M Y B O DY FEEL S EN VIR O N M EN TAL H U MIDIT Y
  • 45. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 E N VIR O N M E N TAL T E M PER AT U R E (C): M Y B O DY FEEL S EN VIR O N M EN TAL TE M PER AT UR E
  • 46. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 CR O W D IN TEN SIT YCR O W D IN TEN SIT Y
  • 47. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 24 26 28 30 26 24 24 24 24 24 24 2425 25 25 25 23 23 23 31 31 32 32 31 31 30 3333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:301:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 -40 -20 0 300 600 900 -60 VIS U AL SE N S O RY (C A M ER A IM AG E): I SEE VIS UAL SEN S O RY
  • 48. 0 30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00 6:30 7:00 7:30 8:00 8:30 9:00 9:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 20:30 21:00 21:30 22:00 22:30 23:00 23:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 5 24 26 28 30 26 24 24 24 24 24 24 24 2423 25 25 25 25 23 23 23 31 31 32 32 31 31 30 31 33333 22 4444 5555 66 2:30 min 2:00 3:00 2:30 4:00 2:00 2:30 2:00 3:30 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:30 1:35 3:31:05 11:36 am t t 32 30 34 36 38 34 34 32 32 32 34 34 34 -40 -20 0 300 600 900 -60 W E A R IN G T HE D E VICE D OE S N OT C AUSE S TR E S S
  • 49. 3:30 24:00 24:30 25:00 25:30 26:00 26:30 27:00 27:30 28:00 28:30 29:00 29:30 30:00 30:30 31:00 31:30 32:00 32:30 33:00 33:30 34:00 34:30 35:00 35:30 36:00 36:30 37:00 37:30 38:00 38:30 39:00 39:30 40:00 40:30 41:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 57:00 57:30 58:00 58:30 59:00 59:30 1:00:00 1:00:30 1:01:00 1:01:30 1:02:00 1:02:30 1:03:00 1:03:30 1:04:00 1:04:30 1:05:00 1:05:30 1:06:00 1:06:30 1:07:00 1:07:30 1:08:00 1:08:30 1:09:00 1:09:30 1:10:00 1:10:30 1:11:00 1:11:30 1:12:00 1:12:30 1:13:00 1:13:30 1:14:00 1:14:30 1:15:00 1:15:30 1:16:00 1:16:30 1:17:00 1:17:30 1:18:00 1:18:30 1:19:00 1:19:30 1:20:00 1:20:30 1:21:00 1:21:30 1:22:00 26 24 24 24 24 24 242323 25 25 25 25 2525 23 32 32 31 31 30 31 30 31 30 31 1 2222 33333 444 555 66 1:30 4:30 2:30 3:10 2:00 4:00 2:00 3:30 1:30 1:30 1:30 1:35 3:35 1:10 2:45 2:15 5:35 2:15 2:15 1:20 3:00 2:101:05 32 32 32 32 34 34 34 34 34 34 Coming home, Strelka is my home ha-ha =) someone smiling called me ā€˜Terroristā€™ =O and took a picture of me for instagram Emotions are from experiences Personal attachments are connected to memory or special feelings
  • 50. 1:36:2641:00 41:30 42:00 42:30 43:00 43:30 44:00 44:30 45:00 45:30 46:00 46:30 47:00 47:30 48:00 48:30 49:00 49:30 50:00 50:30 51:00 51:30 52:00 52:30 53:00 53:30 54:00 54:30 55:00 55:30 56:00 56:30 57:00 57:30 58:00 58:30 59:00 59:30 1:00:00 1:00:30 1:01:00 1:01:30 1:02:00 1:02:30 1:03:00 1:03:30 1:04:00 1:04:30 1:05:00 1:05:30 1:06:00 1:06:30 1:07:00 1:07:30 1:08:00 1:08:30 1:09:00 1:09:30 1:10:00 1:10:30 1:11:00 1:11:30 1:12:00 1:12:30 1:13:00 1:13:30 1:14:00 1:14:30 1:15:00 1:15:30 1:16:00 1:16:30 1:17:00 1:17:30 1:18:00 1:18:30 1:19:00 1:19:30 1:20:00 1:20:30 1:21:00 1:21:30 1:22:00 1:22:30 1:23:00 1:23:30 1:24:00 1:24:30 1:25:00 1:25:30 1:26:00 1:26:30 1:27:00 1:27:30 1:28:00 1:28:30 1:29:00 1:29:30 1:30:00 1:30:30 1:31:00 1:31:30 1:32:00 1:32:30 1:33:00 1:33:30 1:34:00 1:34:30 1:35:00 1:35:30 0 100 200 300 400 500 32 30 34 36 38 -40 -20 0 24 26 28 26 24 24 24 24 24 2423 23 2323 25 25 25 2525 32 1 31 30 31 30 31 30 31 30 30 28 29 0.51 2222 33334 5 6 3:30 1:30 1:30 1:30 1:35 3:35 1:10 2:45 2:15 5:35 2:15 2:15 1:20 3:00 2:10 4:00 2:35 3:15 1:35 2.251:05 32 32 32 32 31 31 34 34 34 34 300 600 900 -60 Going home to eat!! Yess!! No feelings to uknown stations I am hungry and tired N O S T R E S S W HEN N OT HIN G H A PPEN S
  • 51. MIDDAY TRIP 24/05/2013 12:05 PM NIGHT TRIP 22/05/2013 00:30 AM GALVANIC SKIN RESPONSE BODY TEMPERATURE AIR TEMPERATURE LIGHT INTENSITY NOISE LEVEL 0 50 100 150 200 250 300 350 envSound 0 100 200 300 400 500 0 200 400 600 800 31 32 33 34 35 0 200 400 600 800 1000 1200 0 100 200 300 400 500 S 31 30 29 28 27 26 20 10 30 0 50 100 150 200 250 300 350 10 20 30 MIDDAY TRIP 24/05/2013 12:05 PM NIGHT TRIP 22/05/2013 00:30 AM GALVANIC SKIN RESPONSE BODY TEMPERATURE AIR TEMPERATURE LIGHT INTENSITY NOISE LEVEL 0 50 100 150 200 250 300 350 envSound 0 100 200 300 400 500 0 200 400 600 800 31 32 33 34 35 0 200 400 600 800 1000 1200 0 100 200 300 400 500 S 31 30 29 28 27 26 20 10 30 0 50 100 150 200 250 300 350 10 20 30 S TAT IO N S TAT IO NS TAT IO N S TAT IO N T U N N EL T U N N ELO U T SID E O U T SID EO U T SID E O U T SID E Experiment 2: Regular trip D AY NIG H T
  • 52. MIDDAY TRIP 24/05/2013 12:05 PM NIGHT TRIP 22/05/2013 00:30 AM GALVANIC SKIN RESPONSE BODY TEMPERATURE AIR TEMPERATURE LIGHT INTENSITY NOISE LEVEL 0 50 100 150 200 250 300 350 envSound 0 100 200 300 400 500 0 200 400 600 800 31 32 33 34 35 0 200 400 600 800 1000 1200 0 100 200 300 400 500 S 31 30 29 28 27 26 20 10 30 0 50 100 150 200 250 300 350 10 20 30 MIDDAY TRIP 24/05/2013 12:05 PM NIGHT TRIP 22/05/2013 00:30 AM GALVANIC SKIN RESPONSE BODY TEMPERATURE AIR TEMPERATURE LIGHT INTENSITY NOISE LEVEL 0 50 100 150 200 250 300 350 envSound 0 100 200 300 400 500 0 200 400 600 800 31 32 33 34 35 0 200 400 600 800 1000 1200 0 100 200 300 400 500 S 31 30 29 28 27 26 20 10 30 0 50 100 150 200 250 300 350 10 20 30 S TAT IO N S TAT IO NS TAT IO N S TAT IO N T U N N EL T U N N ELO U T SID E O U T SID EO U T SID E O U T SID E D AY NIG H TAnalysis of regular trip S T R E S S L E V E L A N D T E M P E R A T U R E I N C R E A S E I N T H E M E T R O
  • 53. BMW health car source: TECHNISCHE UNIVERSITAET MUENCHEN
  • 54. Unconcious bodily reactions reflect not only the immediate environment, but are also connected to broader context through mental ties. Contextual changes trigger emotional response, therefore can be traced through it.
  • 55. Non-conventional data provides valuable and distinctive information about the city. Context of metro allows efficient and hassle free collection of this data In combination with conventional data it can give much deeper understanding of processes happening in Moscow
  • 56. Non-conventional data provides valuable and distinctive information about the city. Context of metro allows efficient and hassle free collection of this data In combination with conventional data it can give much deeper understanding of processes happening in Moscow
  • 58.
  • 59. M O N I T O R I N G E P I D E M I C D I S E A S E S
  • 60. SHE IS COUGHING BEHIND ME
  • 62.
  • 63. t_39 colour_red gender: male height: 175 cm hair: dark Coughing: 75 level Health:Health: at risk ATTENTION! Particles: Intensive Sound analysis: Strong cough 5 PEOPLE IN ONE TRAIN Population infection: at risk ATTENTION!
  • 64. W E I G H T M E A S U R I N G T U R N S T I L E
  • 66. m = 76.6Kg C O L L E C T I N G A N A L Y S I N G V I S U A L I Z I N G
  • 67. P H A S E 1 : C O L L E C T I N G P H A S E 2 : M O N I T O R I N G
  • 68.
  • 69.
  • 70. FACE: IRIS/RETINA OF EYE BODY: SPEED OF WALKING POSTURE GAIT WEIGHT HEIGHT BEHAVIORAL TRAITS BIO PROCESSES HANDS: PULSE SWEAT VOICE: TONE PITCH SKIN: TEMPERATURE ENVIRONMENT WHAT ARE WE LOOKING FOR DATA SOURCES & PRODUCERS TYPES & PARAMETERS OF DATA BIO: PULSE OXYGENATION ELECTROCARDIOGRAM BRAIN ACTIVITY NERVE SYSTEM ACTIVITY GALVANIC SKIN RESPONSE GLUCOMETER SCALES VOICE TONE VOCAL TRACT PROPERTIES POSITION: VELOCITY ACCELERATION MOVEMENT GLOBAL POSITIONING SYSTEM ELECTROMAGNETIC ENVIRONMENT: CAPACITY CONDUCTION MAGNETIC FIELD CHANGE CURRENT SENSING ELECTROMAGNETIC WAVES MEASUREMENT HUMAN-SENSIBLE ENVIRONMENTAL ATTRIBUTES: SOUND WAVE AND SOUND PRESSURE BAROMETRIC PRESSURE HUMIDITY TEMPERATURE AIR MIXTURE PARTICLES IN THE AIR LUMINANCE LIQUID PRESSURE LIQUID PRESENCE INVISIBLE ENVIRONMENTAL CHARACTERISTICS: GAS MIXTURE GAS FLOW LIQUID MIXTURE CAMERA SMART PHONES DETECTOR SMART-CARD SCANNER STRESS OBESITY INFLUENZA FACIAL EXPRESSION HE ALT H C A R E
  • 71. HE ALT H C A R E EC O N O M Y D E M O G R A P HIC S FACE: IRIS/RETINA OF EYE FACIAL CHARACTERISTICS BODY: SPEED OF WALKING POSTURE GAIT PROXIMITY WEIGHT HEIGHT EXTREMITIES BEHAVIORAL TRAITS BIO PROCESSES HANDS: PULSE SWEAT FINGERPRINTS VOICE: TONE PITCH LANGUAGE SMELL SKIN: COLOUR TEMPERATURE ENVIRONMENT OTHER WHAT ARE WE LOOKING FOR DATA SOURCES & PRODUCERS TYPES & PARAMETERS OF DATA BIO: PULSE OXYGENATION ELECTROCARDIOGRAM BRAIN ACTIVITY NERVE SYSTEM ACTIVITY GALVANIC SKIN RESPONSE GLUCOMETER SCALES VOICE TONE VOCAL TRACT PROPERTIES POSITION: VELOCITY ACCELERATION MOVEMENT GLOBAL POSITIONING SYSTEM ELECTROMAGNETIC ENVIRONMENT: CAPACITY CONDUCTION MAGNETIC FIELD CHANGE CURRENT SENSING ELECTROMAGNETIC WAVES MEASUREMENT HUMAN-SENSIBLE ENVIRONMENTAL ATTRIBUTES: SOUND WAVE AND SOUND PRESSURE BAROMETRIC PRESSURE HUMIDITY TEMPERATURE AIR MIXTURE PARTICLES IN THE AIR LUMINANCE LIQUID PRESSURE LIQUID PRESENCE INVISIBLE ENVIRONMENTAL CHARACTERISTICS: GAS MIXTURE GAS FLOW LIQUID MIXTURE INVISIBLE LIGHT WAVES MEASUREMENT CAMERA SMART PHONES DETECTOR SMART-CARD SCANNER SMARTPHONE WIFI STRESS OBESITY INFLUENZA CLOTHES SMARTPHONE MODEL TRAVEL PATTERNS AGE GENDER LANGUAGE RACE FRAGRANCE SMOKING ALCOHOLISM DRUG ADDICTION SHIZOPHRENIA FACIAL EXPRESSION