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Analysis of NYC Parking
Tickets
Giancarlo Peracchione
Viktor Shestakov
Moritz Osterberger
Federico Raimondi Cominesi
Problems to Face:
• Are there enough parking spots in New York?
• Should we improve the connections coming to New York?
• How can we better allocate ticket officers?
Mean tickets
for each
weekday
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
5000100001500020000250003000035000
Boxplot per Day
Labour Day
Boxing Day
Presidential election
Presidential
transition
Thanksgiving
Christmas Eve
Let’s take a look
at:
• Median
• Variability
• Outliers
0.0 0.2 0.4 0.6 0.8 1.0
0.0
0.2
0.4
0.6
0.8
1.0
Lorenz curve
DAYS−Monday to Sunday
L(p)Lorenz Curve
for 1st week of
August 2016
0.0 0.2 0.4 0.6 0.8 1.0
0.0
0.2
0.4
0.6
0.8
1.0
Lorenz curve
DAYS−Monday to Sunday
L(p)
Lorenz Curve
from August to
December 2016
(22 weeks)
5 10 15 20
0.150.200.25
Gini Index per WEEK
WEEK
GiniIndex
Gini Index for
each week:
Weeks have
similar
concentration.
Contain holidays
49944
16461
8645 8585
5298
4436 4112 3668 3421
2276
10000
20000
30000
40000
50000
New Jersey Pennsylvania Connecticut Florida Massachusetts Virginia Indiana Maryland North Carolina Illinois
NumbersofTickets
Tickets per State Top 10 (w/o NY)
Not NY 23%
NY 77%
Where do the
cars come from?
Most come NY
and from states
bordering NY
0.202
0.214
0.233
0.286
0.228
0.213
0.215
0.206
0.231
0.239
0.267
0.228
0.219
0.216
0.223
0.225
0.261
0.267
0.235
0.229
0.214
0.227
0.231
0.246
0.291
0.236 0.237
0.228
0.241
0.239
0.255
0.200
0.225
0.250
0.275
0.300
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31Distribution
Non Resident Relative Distribution (Non NY / NY)
23322
5893
20827
5681
15259
4629
6271
2508
18192
5363
20766
5636
20039
5481
19330
5000
19953
5989
15174
4769
5243
1914
16518
4880
21030
5913
18007
4951
17897
5141
16314
4736
5332
1879
4416
1609
16327
5004
18299
5422
15882
4323
19546
5748
16923
5094
9363
3051
1182
485 2556
791
18452
5741
16459
4858
14556
4624
15557
4880
8190
280410000
20000
30000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Day of Month
NumberofTickets
State NOTNY NY
Num of Tickets per Day
Ticket distribution
related to state:
Sundays
• High percentage of
non NYer versus
high absolute
• Possible reasons:
→ High amount of
tourists
→ New Yorkers
„escaping“ the City
Ticket Location
Ticket Location
0% 20% 40% 60% 80% 100%
VAN
DELV
PICK
TAXI
SUBN
SDN
CONV
3 per Plate 4 per Plate 5 per Plate More than 5
Tickets per car type:
Penalize reoccuring
parking violations
VAN: Van
DELV: Delivery Vehicle
PICK: Pickup
TAXI: Taxi
SUBN: Suburban
SDN: Sedan
CONV: Convertible
0 1000 2000 3000 4000 5000 6000 7000
Cheap
Expensive
3 per Plate 4 per Plate 5 per Plate More than 5
Tickets per car valueTickets per car
value:
Total number of
tickets
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Cheap
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Expensive
3 per Plate 4 per Plate 5 per Plate More than 5
Tickets per car
value:
Percentual
distribution of
tickets
Possible
dashboard for
the city council
OPPORTUNITIES
• Integrate shiftlist of officer to understand the correlation between the number of tickets and
officers
• Location allocation of officers
- measure effectiveness of allocation
• Anomaly detection
- individual officers
- time
• Parking location analysis (share with other states)
- Bus route
- Not enough parking spots
- Improve parking rules or parking lines
• Improve data formats
- GPS location
- Officer ID code
- Time stamp (ex. 18:30)

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Analysis of New York City parking tickets

  • 1. Analysis of NYC Parking Tickets Giancarlo Peracchione Viktor Shestakov Moritz Osterberger Federico Raimondi Cominesi
  • 2. Problems to Face: • Are there enough parking spots in New York? • Should we improve the connections coming to New York? • How can we better allocate ticket officers?
  • 4. Monday Tuesday Wednesday Thursday Friday Saturday Sunday 5000100001500020000250003000035000 Boxplot per Day Labour Day Boxing Day Presidential election Presidential transition Thanksgiving Christmas Eve Let’s take a look at: • Median • Variability • Outliers
  • 5. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 Lorenz curve DAYS−Monday to Sunday L(p)Lorenz Curve for 1st week of August 2016
  • 6. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 Lorenz curve DAYS−Monday to Sunday L(p) Lorenz Curve from August to December 2016 (22 weeks)
  • 7. 5 10 15 20 0.150.200.25 Gini Index per WEEK WEEK GiniIndex Gini Index for each week: Weeks have similar concentration. Contain holidays
  • 8. 49944 16461 8645 8585 5298 4436 4112 3668 3421 2276 10000 20000 30000 40000 50000 New Jersey Pennsylvania Connecticut Florida Massachusetts Virginia Indiana Maryland North Carolina Illinois NumbersofTickets Tickets per State Top 10 (w/o NY) Not NY 23% NY 77% Where do the cars come from? Most come NY and from states bordering NY
  • 9. 0.202 0.214 0.233 0.286 0.228 0.213 0.215 0.206 0.231 0.239 0.267 0.228 0.219 0.216 0.223 0.225 0.261 0.267 0.235 0.229 0.214 0.227 0.231 0.246 0.291 0.236 0.237 0.228 0.241 0.239 0.255 0.200 0.225 0.250 0.275 0.300 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31Distribution Non Resident Relative Distribution (Non NY / NY) 23322 5893 20827 5681 15259 4629 6271 2508 18192 5363 20766 5636 20039 5481 19330 5000 19953 5989 15174 4769 5243 1914 16518 4880 21030 5913 18007 4951 17897 5141 16314 4736 5332 1879 4416 1609 16327 5004 18299 5422 15882 4323 19546 5748 16923 5094 9363 3051 1182 485 2556 791 18452 5741 16459 4858 14556 4624 15557 4880 8190 280410000 20000 30000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Day of Month NumberofTickets State NOTNY NY Num of Tickets per Day Ticket distribution related to state: Sundays • High percentage of non NYer versus high absolute • Possible reasons: → High amount of tourists → New Yorkers „escaping“ the City
  • 12. 0% 20% 40% 60% 80% 100% VAN DELV PICK TAXI SUBN SDN CONV 3 per Plate 4 per Plate 5 per Plate More than 5 Tickets per car type: Penalize reoccuring parking violations VAN: Van DELV: Delivery Vehicle PICK: Pickup TAXI: Taxi SUBN: Suburban SDN: Sedan CONV: Convertible
  • 13. 0 1000 2000 3000 4000 5000 6000 7000 Cheap Expensive 3 per Plate 4 per Plate 5 per Plate More than 5 Tickets per car valueTickets per car value: Total number of tickets
  • 14. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Cheap 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Expensive 3 per Plate 4 per Plate 5 per Plate More than 5 Tickets per car value: Percentual distribution of tickets
  • 16. OPPORTUNITIES • Integrate shiftlist of officer to understand the correlation between the number of tickets and officers • Location allocation of officers - measure effectiveness of allocation • Anomaly detection - individual officers - time • Parking location analysis (share with other states) - Bus route - Not enough parking spots - Improve parking rules or parking lines • Improve data formats - GPS location - Officer ID code - Time stamp (ex. 18:30)