Eileen Lee
Brett Leibowitz
ORF 467
MyCity Final Report: Paradise City
Welcome to Paradise City, where residents are happy to live self-sufficiently in their rectangular
shaped zones. The river that flows through the city separates a peaceful residential community
from the bustling industrial atmosphere. With a retirement community, golf course, and plenty of
five star restaurants and retail stores, the west side of the river hosts a myriad of opportunities.
Zones east of the river house the centrally located airport, the university, and the amusement
park among various other land uses.
Portion of
Key Land Use
Square Mi. total area
Water
11.7
0.11
Open
18.7
0.18
Educational
4
0.04
Retail
4.4
0.04
Restaurant
5.2
0.05
Airport
2.1
0.02
Professional Office
4
0.04
Light Residential
8
0.08
Medium Residential
5.5
0.05
Heavy Residential
7.6
0.07
Light Industrial
5
0.05
Medium Industrial
3
0.03
Heavy Industrial
4.4
0.04
Amusement park
2.8
0.03
University - Education
2.4
0.02
Government Office
2.6
0.03
Recreational
6.1
0.06
Golf course
2.5
0.02
Sports stadium
1.2
0.01
Retired Community
1.2
0.01
Total
102.4
1
The city is divided into 58 Traffic Assignment Zones (TAZ) including residential, work, school,
and others to keep the population active and happy. Approximately 30% of the land is designated
for water and open space, such that it is not inhabited by any citizens and offers natural beauty
throughout the city. Residential areas account for about 20% of the city, while industrial,
professional, and government offices that support a majority of employment is another 20% of
the land. Schools contribute to about 5% of the city’s area and the remaining “other” zones
primarily for recreation, restaurants, and shopping take up the final 25% of the city.
Demographics:
According to the U.S. Census Bureau, the average household size in 2010 was 2.59. With a
population of 250,000 people in Paradise City, the total number of households is approximately
96,505.
The resident population is broken down by age distribution and occupation classification. The
relationship between these breakdowns is very strong. All of the children under 5 years old are
also not yet in school. The number of primary, secondary, and university students is equivalent to
the 5-20 year old age category. The 21-66 year old workers include all the workers in the
population. There is a minimal 4% unemployment rate in Paradise City, and 14% of the
population is senior citizens, which establishes the 18% of non-workers and over 66 age
distribution category.
Resident Population
Percentage Population
Under 5 year olds
6%
15,000
5-20 year olds
21%
52,500
21-66 year old workers
55%
137,500
21-66 year old non-workers
and over 66
18%
45,000
Total
100%
250,000
Population Breakdown
Children not in school
Primary students
Secondary students
University students
Workers
Unemployed
Retirees/Senior citizens
Total
Percentage Population
6%
15,000
7%
17,500
9%
22,500
5%
55%
4%
14%
100%
12,500
137,500
10,000
35,000
250,000
With a majority of the population productively working to contribute to the city, employment
breakdown is important to the citizens. A large majority of workers are located in heavy
industrial regions, where production facilities and large plants dominate. Medium and light
industrial areas consequently take up another significant portion of the labor force along with
professional offices for doctors, lawyers, and businesses. The remaining occupations include
government officials, teachers and professors, and finally workers at various attractions.
Employment
Light Industrial
Medium Industrial
Heavy Industrial
Retail
Restaurants
Airport
Education - Non-university
Education - University
Amusement park
Professional Offices
Sports Stadium
Golf course
Government Offices
Recreational
Total
Density Population
3500
17500
8250
24750
16525
72710
460
2024
465
2418
260
546
460
1840
460
1104
155
434
2839
11356
500
600
72
180
690
1794
40
244
137256
Students also take up a significant portion of the population. Primary students include grades K-5,
while secondary students include grades 6-12. Upon graduation, a large number of students are
accepted to the prestigious university complete with a convenient golf course and sports stadium
nearby.
To maintain a balanced lifestyle, residents of Paradise City also enjoy going out to eat, shop, and
play. One of the most popular attractions includes the amusement park located in the southeast
corner of the city. Many citizens enjoy shopping at the various retailers and eating at the broad
array of diverse restaurants. Being healthy and active is important to all members of the
community, so recreational areas are very attractive. Paradise City sponsors various concerts in
the park, benefit runs, and several events throughout the year to promote recreation.
Trip Generation:
Because residents must make trips to various zones in order to fulfill their daily activities such as
going to work, school, or other locations, trip production and attraction vectors are used to
determine the number of people going to each zone for a particular purpose. There are nine sets
of production and attraction vectors for the various trip purposes: HB-work, HB-school, HBOther, Work-Home, School-Home, Other-Home, Work-Other, School-Other, and Other-Other.
The sum of the production vectors is equal to the sum of attraction vectors because it is assumed
that no inhabitants disappear or leave the city.
HB-work trips are those that go from home directly to work. The production vector values are
nonzero in residential areas only and attraction vector values are nonzero in all employment
zones. Though the university also has residents who live in the zone, it is assumed that everyone
that resides there is a student. Therefore, there is no production from the university to work.
However, since professors, management and administrative workers are employed at the
university, there is a non-negative attraction for work. About 55% of the residential zone
populations are workers, and the production vector includes the number of workers in each zone.
The attraction vector consequently is the number of jobs available at each zone in which the
workers will distribute accordingly. There is also no structural unemployment, so the skillset of
individuals in the city correspond to the jobs available. Because citizens of Paradise City are
responsible workers, all 137,500 workers in the population go to work every day. Therefore, the
total number of trips for HB-work is 137,500.
HB-school trips similarly include only those that go from home directly to school. About 20% of
the population living in residential areas is a primary, secondary, or university student, and these
students represent the production vector in each residential zone. The attraction vector is nonnegative in the educational zones. Each educational zone has a primary and secondary school,
such that all students regardless of grade are attracted to the same zone up to the zone’s capacity.
The exception includes Zone 49, which is the university, where only university students attend.
The total number of students is 52,500, and the total number of HB-school trips is 46,800. The
discrepancy of 5,700 students is caused by the university students who live on campus and also
attend school there. Because they continue to stay inside the same zone for home and school, this
intrazonal trip is not counted in the number of trips. The attraction to the university includes the
commuting students who live in various residential zones in the city and do not live on campus.
HB-other trips include all trips that begin at home and go to retail, dining, recreational, or other
miscellaneous zones that are not school or work. The number of trips is determined using the
following guideline:
1.5*(number of 21-66 non-workers + number of people over 66)
+ 0.3*(number of students) + 0.5*(number of 21-66 workers)
This arbitrary determination for the number of HB-other trips is used to help generate an
approximate 4 trips per person. In this case, the university zone is included as a production
vector because the college students living at the school presumably like to travel to other zones
to eat out, go shopping, and take excursions. The attraction to an “other” zone is determined
proportionally by area. For example, the large recreational areas attract a significant number of
people, which is beneficial for this city that values health and wellbeing initiatives.
For Work-home and School-home trips, the number of trips produced is determined using a
certain percentage of the population who make HB-Work and HB-School trips. It is assumed that
50% of people who go to work will return directly home, while the remaining 50% will make
Work-other trips to run errands, grab a beer, etc. at another location before returning home. 60%
of children who go to school go directly home in a School-home trip. This percentage is greater
than that of Work-home because students typically have less access to drive to other locations
immediately after school. The number of students who make School-other trips is therefore 40%
because those that do not go directly home go to another zone.
The Other-home trips include the people who go from retail, restaurants, recreational, and other
zones back home. The attraction vector is calculated by determining the remaining people who
have not yet returned home. The production vector assumes that the number of trips generated
for each “other” zone is proportional to the area of the zone, as in all cases that include “other”
trips.
Finally, the production and attraction vectors for Other-other trips are the same because it is
assumed that the influx of people remains the same. Other-other trips include trips that do not
include home or work, such as getting a haircut and then going to the park to run a workout.
The summary trip production and attraction table below includes the number of trips from each
residential zone for a particular trip purpose and the percentage of trips per trip purpose in each
zone. Zone 15 is the retired community, so they do not make any trips to work or school. Zone
49 is the university, where there is a population of students who live on campus. Because their
occupation is solely being a student, they do not make trips to work and do not make trips to
school because they are intrazonal.
HB-Work
HB-School
HB-other
Zone Trips
Percentage Trips
Percentage Trips
Percentage
2
9,798
7.13%
3,335
7.13%
11,784
6.60%
6 28,651
20.84%
9,752
20.84%
34,459
19.31%
10
8,531
6.20%
2,904
6.21%
10,259
5.75%
15
0.00%
0.00%
7,425
4.16%
21 13,649
9.93%
4,646
9.93%
16,416
9.20%
30
3,585
2.61%
1,220
2.61%
4,311
2.42%
31
5,736
4.17%
1,952
4.17%
6,898
3.86%
32 34,382
25.01%
11,702
25.00%
41,351
23.17%
41 24,068
17.50%
8,192
17.50%
28,944
16.22%
48
9,100
6.62%
3,097
6.62%
10,944
6.13%
49
0.00%
0.00%
5,700
3.19%
Total 137,500
100.00%
46,800
100.00% 178,490
100.00%
The table below summarizes the trip production and attraction for Other-other trips, which
include a different set of zones than the home-based trips. The percentage represents the
proportion of total Other-other trips in that particular zone. There are 21 total “other” zones,
which include retail, restaurants, recreational areas, golf courses, sports stadium, airport, and
amusement park.
Other-Other
Zone Trips
Percentage Zone
Trips
Percentage
3
4,925
3.70%
35
5,472
4.12%
4
4,378
3.29%
37
11,492
8.64%
5
8,209
6.17%
44
3,283
2.47%
11
4,925
3.70%
45
5,472
4.12%
12
3,283
2.47%
50
6,567
4.94%
13
4,925
3.70%
51
6,567
4.94%
17
13,134
9.88%
52
8,756
6.58%
19
4,378
3.29%
55
6,567
4.94%
23
4,378
3.29%
57
4,378
3.29%
25
3,283
2.47%
58
15,323
11.52%
29
3,283
2.47% Total
132,980
100.00%
Trip Distribution:
In order to generate trip arrays, we implemented a gravity model that assumes total trip
production at the origin and total attractions at the destination is proportional to the trips
produced at the origin and attracted to a destination.
According to the Gravity Model formula, the number of trips T between each origin zone i to
destination zone j is equal to:
AFK
Tij  Pi * n j ij ij
 j1 (A jFijKij )
Where:
Tij = trips produced at I and attracted at j
Pi = total trip production at I
Aj = total trip attraction at j
Fij = a calibration term for interchange ij, (friction factor) or travel time factor (Fij =C/ tijn)
C= calibration factor for the friction factor
Kij = a socioeconomic adjustment factor for interchange ij
i = origin zone
j = destination zone
n = total number of zones
For our calculations, all Kij = 1. This means there is no socioeconomic adjustment factor for
interchange ij.
Calculating the trip array is a multi-step process that requires many matrices to be utilized and
calculated. The matrices necessary for each trip type are P, Ainput, D, F, I, Sum, P/Sum,
[P/Sum]transpose, [P][A]transpose, [P/Sum][A]transpose, and [A]transpose. Also mandatory to step through
the iterations is C = Aoutput, A desired, C previous, and A new.
Three matrices are the same for all trip types except for a slight change for Other-other trips:
D: This is the distance matrix. It calculates the difference between each zone by using a grid
system, similar to Manhattan distance. We take the difference in the distance between the xcoordinates of each zone's centroid and add it to the difference between their y-coordinates. For
intra-zonal distances, the square root of the land area was used for most trip arrays and this was
multiplied by ten for the Other-other trip array generation.
F: This is the friction factor matrix, which is the aversion or reluctance factor that each person
experiences of traveling to a particular zone. For all trip types, this was kept constant at 1/D2.
I: This is the identity matrix.
Using excel, we calculated the Ainput necessary to reach our Adesired as an output. To do this we
use our trip Production vector (P) and our Adesired as our initial Ainput. Looping through the
following process, we update our Ainput after each iteration. First, we calculate the Sum vector by
matrix multiplying F by Ainput. Following this, we calculate all the values for Sum, P/Sum,
[P/Sum]transpose, [P][A]transpose, [P/Sum][A] transpose, and [A]transpose, using MMULT and
TRANSPOSE in excel. Then we find each cell of a potential trip array Tij by multiplying
([P/Sum][A]transpose)ij by F ij. Summing up the columns of this trip array will give the [A]output
vector. If this output is within 1% error of the desired A for each zone then the process is over
and this is the trip array we use. However, if it is not, then the [A]input must be updated to [A]new.
This [A]new will be equal to the Adesired multiplied by Ainput and divided by Aoutput. This process
repeats until we have calculated a trip array that produces an Aoutput that converges close to our
Adesired within a 1% error.
Trip Demand for the city varies for each trip purposes. Therefore, the PersonTrips and
PersonTripMiles were determined for each trip purpose. The PersonTrips is the number of trips
taken by a community member as predicted by the Gravity Model. Therefore, this is equivalent
to the Trip Array matrix calculated, with the assumption that each trip is taken by a single person.
Below is a table that includes the PersonTrips for each mile range.
HB-Work
HB-School
HB-Other
Non-HB
Total
Number of Trips per mile range
0-0.99 1-1.99 2-2.99 3-3.99
14,306 18,105 13,687 19,872
6,148 21,154
1,169
12,502 26,203 30,528 34,124
21,092 32,662 23,933
7,193
47,901 83,118 89,302 62,358
4-4.99
17,012
4,025
18,233
13,767
53,038
5-5.99
6,611
1,912
10,888
7,549
26,960
6-6.99
19,515
12,999
9,758
42,273
7-7.99
11,370
780
7,664
5,831
25,645
8-8.99
11,299
7,332
5,590
1,819
26,041
9-9.99
1,800
2,924
3,244
3,668
11,635
10-10.99
2,391
412
6,993
1,759
11,555
11-11.99
319
44
2,378
938
3,679
12-12.99
1,163
900
2,595
321
4,979
13-13.99
10
528
2,537
3,075
14-14.99
14
152
165
15-15.99
36
736
772
Total
137,497
46,800
175,220
132,980
492,497
According to the distribution of trips taken for each purpose, it appears that a large majority
(68%) of the trips taken overall are less than five miles long. This is expected because people
typically prefer destinations that are closer to their current location. Because the number of zones
for HB-School is particularly small, the trip distances deviates slightly from the others. The
concentration of residential areas forces some students to travel to schools that are farther away
from their home. However, those that are willing to drive the further distance are rewarded by
receiving a stellar education to prepare for entrance into the prestigious university located in the
northeast part of Paradise City.
The PersonTripMiles depicts the average trip length traveled per person. This can be calculated
by dividing the total trip length by the total number of trips taken for each trip purpose. To find
the total trip length, we took the sum of all trips in each zone for a particular trip type. For the
non-redundant six trip purposes (HB-work, HB-school, HB-other, Work-other, School-other,
Other-other), the total trip length is equivalent to the matrix multiplication of the distance array
transposed by the number of trips. For school-home and work-home, the total trip length is
proportional to the HB-school and HB-work.
Finally for Other-home, the total trip length could not be computed directly using a linear
combination of other total trip lengths because of the possibility of taking an Other-other trip.
Therefore, a matrix was created by multiplying each value from the Other-home trip array by the
corresponding value in the D array to obtain a matrix of total tripDistance from zone to zone.
Then, this matrix was summed to get the total Other-home miles traveled. Though this method
could have been used for every trip type, it was not necessary because the other methods were
easier to implement.
Below is a summary of the total trip distance, total number of trips, and average trip length for
each trip purpose. The average trip length is equivalent for HB-work/Work-Home and HBschool/School-Home because the distance between trips to these zones remains the same. The
HB-other/Other-home do not produce the same average trip length because people can make an
Other-other trip before returning home. It is evident that the average trip length for Other-other is
the shortest at 3.58 miles, and the HB-work trips are the longest at 4.55 miles. The total average
trip length per Paradise City member is 4.29 miles.
HB-Work HB-School HB-Other Work-Other School-Other Other-Other Other-Home School-Home Work-Home Total
Trips
137,500
46,800 178,490
68,750
18,720
132,980
265,960
28,080
68,750
946,030
Distance
625,832 203,590 774,664
303,203
73,832
476,148
1,168,290
122,154
312,916 4,060,629
avg
tripLength
4.55
4.35
4.34
4.41
3.94
3.58
4.39
4.35
4.55
4.29
Looking at the distribution of the PersonTrips for each trip purpose, the cumulative distribution
was determined. The following graph displays the cdf for each of the six trip purposes.
All cumulative trip distributions, regardless of trip purpose, follow a similar trend. Initially, the
percentage of trips taken increases quickly because of people’s preference to take trips that are
shorter in length. As the trip length increases, the number of people taking those trips declines,
resulting in the decreasing slope of the graph. Overall, the analysis of trip generation and
distribution of Paradise City represents a simplified approach to solving transportation models
faced in the real world.
*Further details on our analysis can be found in the Appendix and corresponding Excel
spreadsheet.
Appendix
Trip Production and Attraction Vectors
Zone #
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
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
HB-work
HB-school
HB-Other
Work-Home
School-Home
Land Use
P
A
P
A
P
A
P
A
P
A
Open
Light Residential
9,798
3,335
11,784
4,899
2,001
Retail
414
6,611
207
Restaurant
372
5,876
186
Recreational
60
11,018
30
Heavy Residential
28,651
9,752
34,459
- 14,326
5,851
Educational
460
- 10,000
230
6,000
Professional Office
3,407
1,704
Open
Medium Residential
8,531
2,904
10,259
4,266
1,742
Retail
414
6,611
207
Restaurant
279
4,407
140
Golf course
65
6,611
33
Government Office
414
207
Retired Community
7,425
Open
Recreational
96
17,629
48
Water
Restaurant
372
5,876
186
Educational
460
- 10,000
230
6,000
Medium Residential
13,649
4,646
16,416
6,825
2,788
Light Industrial
7,000
3,500
Retail
368
5,876
184
Medium Industrial
9,900
4,950
Restaurant
279
4,407
140
Heavy Industrial
33,050
- 16,525
Professional Office
4,542
2,271
Light Industrial
7,000
3,500
Restaurant
279
4,407
140
Light Residential
3,585
1,220
4,311
1,793
732
Light Residential
5,736
1,952
6,898
2,868
1,171
Heavy Residential
34,382
- 11,702
41,351
- 17,191
7,021
Medium Industrial
8,250
4,125
Professional Office
3,407
1,704
Restaurant
465
7,345
233
Open
Airport
546
15,425
273
Medium Industrial
6,600
3,300
Government Office
1,380
690
Heavy Industrial
23,135
- 11,568
Heavy Residential
24,068
8,192
28,944
- 12,034
4,915
Open
Educational
920
- 20,000
460
- 12,000
Retail
276
4,407
138
Recreational
40
7,345
20
Open
Water
Medium Residential
9,100
3,097
10,944
4,550
1,858
University - Education
1,104
6,800
5,700
552
4,080
Retail
552
8,814
276
Recreational
48
8,814
24
Golf course
115
11,752
58
Water
Light Industrial
3,500
1,750
Sports Stadium
600
8,814
300
Heavy Industrial
16,525
8,263
Restaurant
372
5,876
186
Amusement Park
434
20,567
217
-
Work-Other
School-Other
Other-Home
Other-Other
P
A
P
A
P
A
P
A
18,017
207
2,546
693
9,850
4,925
4,925
186
2,263
616
8,756
4,378
4,378
30
4,244
1,156
16,417
8,209
8,209
52,685
230
4,000
1,704
15,686
207
2,546
693
9,850
4,925
4,925
140
1,698
462
6,567
3,283
3,283
33
2,546
693
9,850
4,925
4,925
207
7,425
48
6,790
1,849
26,268
13,134
13,134
186
2,263
616
8,756
4,378
4,378
230
4,000
25,099
3,500
184
2,263
616
8,756
4,378
4,378
4,950
140
1,698
462
6,567
3,283
3,283
16,525
2,271
3,500
140
1,698
462
6,567
3,283
3,283
6,592
10,546
63,222
4,125
1,704
233
2,829
770
10,945
5,472
5,472
273
5,941
1,618
22,984
11,492
11,492
3,300
690
11,568
44,255
460
8,000
138
1,698
462
6,567
3,283
3,283
20
2,829
770
10,945
5,472
5,472
16,732
552
2,720
5,700
276
3,395
924
13,134
6,567
6,567
24
3,395
924
13,134
6,567
6,567
58
4,527
1,233
17,512
8,756
8,756
1,750
300
3,395
924
13,134
6,567
6,567
8,263
186
2,263
616
8,756
4,378
4,378
217
7,922
2,157
30,646
15,323
15,323
Total
68,750
137,500
137,500
46,800
46,800
178,490
178,490
68,750
68,750
28,080
28,080
68,750
18,720
18,720
265,960
265,960
132,980
132,980
Trip Arrays:
HB-Work
HB-work
220
50
7
134 291 48
10
3
2
15
13
1
0
0
0
5
2
0
24
9
2
1
0
0
4
2
0
414 371 60
-
61
282
227 2,166
132
590
10
100
1
10
4
34
19
164
2
26
3
30
459 3,402
-
-
35
33
166 120
159
67
12
11
3
5
5
5
23
25
6
9
4
5
413 279
11
22
19
2
1
1
6
2
1
65
61
129
152
12
7
6
33
9
6
413
-
-
-
-
-
21
9
1
9
0
12
42
0
2
96
-
73
60
55
27
3
2
124
40
1
1
27 133
76 183
2
2
11
13
372 461
-
471
29
2,576 115
139
8
2,588
71
27
2
199
26
780
91
69
9
147
17
6,995 368
914
3,597
572
2,231
105
365
1,556
267
289
9,896
25
3,218
79
9,656
13
4,113
39
4,510
3
1,032
19
1,219
73
5,638
15
2,612
14
1,033
279 33,031
318
773
260
303
181
190
865
1,487
159
4,537
666
1,619
545
635
1,231
241
1,197
644
217
6,995
21
44
13
15
56
13
62
44
11
279
-
-
-
134
183
14
119
247
22
11
20
2
101
366
23
3
5
1
320
538
20
6,831 1,666 265
24
34
5
742
358 115
8,286 3,416 467
-
28
504
70
916
81 1,374
166
2,093
7
294
35
663
36
590
63
785
2
74
9
398
33
550
61
762
273 2,080
614
3,327
31
746
244 13,531
55
394
120
615
547 6,605 1,382 23,089
-
-
-
-
59
113
31
38
99
38
246
250
45
920
15
3
30
5
9
1
10
2
126
2
9
2
44 13
24 10
8
3
276 40
-
-
-
42
12
2
53
21
5
6
2
1
32
13
2
1
0
0
39
12
2
397 132 17
9
4
1
529 358 19
1,109 554 48
7
15
2
5
0
5
48
3
30
115
-
209
41
921
26
36
433
81
1,832
50
61
89
14
514
13
15
152
28
626
17
19
22
4
155
3
14
150
28
624
17
19
1,385 250
5,616 146 161
291
34
3,525
40
57
777 121
2,731
60
52
3,508 601 16,545 373 435
-
-
-
Sum(P)
9,798
28,651
8,531
13,649
3,585
5,736
34,382
24,068
9,100
-
HB-School
HB-School
-
-
-
-
-
1,006
5,777
2,318
432
12
36
370
80
42
10,073
-
-
-
-
-
-
-
-
-
1,169
814
46
2,119
8
1,457
4,140
66
183
10,001
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
900
2,663
503
1,564
1,193
326
4,355
7,927
500
19,929
-
-
-
-
-
261
498
37
531
7
134
2,837
120
2,373
6,797
-
-
-
-
-
-
Sum(P)
3,335
9,752
2,904
4,646
1,220
1,952
11,702
8,192
3,097
-
HB-Other
HB-Other
-
-
2,698
526
862
2,485 4,688 8,822
311
97
575
53
23
68
467
364
305
11
4
12
91
33
57
392
133
261
81
30
93
39
13
26
15
5
10
6,642 5,915 11,092
-
-
-
-
-
247
139
429
1,801
766 1,286
3,011
744 1,918
709 2,146 1,807
214
117
216
41
47
106
47
29
65
223
142
335
315
271
425
22
14
32
9
6
14
6,639 4,421 6,632
-
-
-
-
-
-
2,659
1,701
230
91
2,880
38
2,245
7,259
286
184
57
17,629
-
665
756
82
30
2,881
13
340
926
96
74
20
5,883
-
-
-
263
1,567
193
69
1,637
43
333
1,093
535
113
39
5,884
-
202
974
280
93
808
62
214
795
872
81
30
4,409
-
-
-
-
-
-
120
377
191
368
223
740
103
472
1,738
46
19
4,396
-
-
-
-
-
168
396
62
25
670
14
331
4,124
389
965
185
7,329
-
459
1,987
317
122
1,495
70
760
5,887
3,471
641
194
15,404
-
-
-
-
-
-
-
-
- 98
161 - - - 296
448 - - - 145
205 - - - - 240
264 - - - - - 170
245 - - - - - - - - 1,872
355 80
137 377 1,115 - - - - - - - - 1,059 4,213 - - - - - - 37
129 15
50 - - - - - - - - - 4,389 7,323 -
-
-
-
175
463
77
32
484
17
252
2,595
429
3,797
466
8,787
-
-
-
263
391
940 1,256
175
253
71
106
607
753
38
56
323
409
3,072 3,623
1,169 1,339
1,755 1,196
383 2,349
8,797 11,730
-
-
-
-
325
980
302
124
565
66
311
2,647
1,888
693
899
8,799
-
197
736
564 1,904
265
827
105
880
315 1,000
58
649
175
564
1,446 4,432
2,081 8,165
323
766
335
600
5,864 20,524
Sum(P)
11,784
34,459
10,259
7,425
16,416
4,311
6,898
41,351
28,944
10,944
5,700
-
Work-Home
Iterations Work-Home
4
110
25
4
31
141
17
17
6
30
10
37
30
236
15
457
12
1,609
158
333
11
66
91
7
14
251
35
455
29
8
1
21
6
1
3
104
20
458
13
18
Sum(A)
4,892
-
-
-
67
146
24
114
1,084
83
60
11
64
4
27
14
1,288
57
1,797
39
4,820
384
808
22
59
123
11
40
684
82
1,038
56
15
2
26
10
2
7
215
41
910
25
30
14,292
5
2
1
66
296
80
33
9
76
0
2
1
69
4
286
6
2,054
129
272
6
6
10
1
4
146
17
329
15
4
1
3
1
0
1
44
7
256
7
8
4,258
-
-
-
-
-
-
-
-
-
-
7
7
0
5
50
6
5
1
6
4
62
20
1,293
35
1,114
19
2,249
151
317
8
50
182
11
18
294
32
389
19
5
1
16
6
1
3
75
14
311
8
9
6,803
-
-
-
-
-
0
3
12
0
1
5
0
0
1
0
2
10
5
17
82
1
2
12
2
2
13
1
1
3
4
3
16
0
6
21
0
13
38
0
66
91
14
100
391
1
13
45
53
183
780
2
9
37
517
611
2,823
91
95
432
616
121
599
28
6
31
1
159
3,401
3
269
831
0
10
132
1
17
136
37
275
1,039
4
31
306
198
379
1,655
49
19
123
63
4
22
1
1
7
1
19
198
0
6
66
0
1
9
0
3
24
11
75
690
2
14
125
77
311
2,799
2
8
73
7
10
81
1,793 2,865 17,158
-
-
-
-
-
-
0
0
0
1
13
3
5
1
4
0
1
1
35
4
135
8
1,324
751
326
22
12
17
2
16
377
123
6,817
126
12
5
5
2
1
2
147
17
1,779
20
29
12,145
-
-
-
2
1
0
2
15
2
2
1
3
1
6
6
74
9
145
7
517
79
108
6
370
179
57
28
197
60
306
22
4
1
264
178
9
15
388
61
1,362
30
26
4,542
-
-
-
-
-
-
-
-
Sum(P)
207
186
30
230
1,704
207
140
33
207
48
186
230
3,500
184
4,950
140
16,525
2,271
3,500
140
4,125
1,704
233
273
3,300
690
11,568
460
138
20
552
276
24
58
1,750
300
8,263
186
217
Work-Other
Work-Other
-
-
101
20
68
46
79
28
11
2
14
33
14
126
140
186
329
11
12
23
5
5
9
1
1
3
4
2
7
2
1
1
7
6
4
7
6
5
177
206
377
6
6
11
258
260
495
4
4
8
800
716 1,401
74
60
121
124
101
202
1
1
2
117
86
100
81
66
64
4
3
4
4
4
8
92
79
156
11
9
17
315
249
502
3
3
5
1
1
2
0
0
0
7
5
7
2
2
3
0
0
0
0
0
0
12
9
19
1
1
2
84
62
128
1
1
1
1
1
1
2,551 2,268 4,253
-
-
-
-
-
0
0
2
1
1
2
0
0
1
5
3
14
381
107
87
45
50
17
27
46
22
0
1
23
2
7
172
0
0
0
0
0
1
0
0
1
34
25
46
1
1
2
116
77
125
2
1
2
1,467
729
888
60
81
108
100
212
432
1
1
3
8
8
20
5
4
11
0
0
1
1
1
1
37
28
54
3
3
6
210
275
422
1
2
6
1
1
3
0
0
0
1
1
2
0
0
1
0
0
0
0
0
0
3
3
7
0
0
1
38
32
70
0
0
1
0
0
1
2,553 1,701 2,552
-
-
-
7
13
1
9
130
12
6
1
3
31
111
152
597
17
784
12
2,221
191
320
3
548
263
11
12
247
27
795
8
3
0
19
6
0
1
30
2
202
2
2
6,800
-
2
5
0
3
40
3
2
0
1
9
44
30
267
6
289
4
708
55
92
1
213
109
3
4
75
8
221
2
1
0
5
2
0
0
8
1
53
0
1
2,267
-
-
-
0
1
0
1
19
2
1
0
0
0
1
2
599
30
307
27
503
85
51
1
40
44
2
12
190
11
279
2
1
0
2
1
0
0
8
1
45
0
0
2,268
-
0
0
0
1
13
1
0
0
0
0
0
1
60
11
493
16
412
77
32
1
11
9
0
2
305
9
212
1
0
0
1
0
0
0
5
0
27
0
0
1,700
-
-
-
0
0
0
0
6
1
1
0
1
0
0
0
13
1
38
1
320
148
247
24
8
5
0
1
44
4
722
29
40
0
1
0
0
0
3
0
39
0
1
1,699
-
-
-
-
-
1
1
0
1
15
1
1
0
0
0
2
4
74
5
103
3
306
46
46
1
1,130
299
58
23
109
35
279
3
1
0
29
32
1
1
32
2
178
1
1
2,825
-
1
2
0
3
50
4
2
0
1
1
2
5
413
48
449
19
1,097
173
142
3
516
279
30
71
684
209
1,149
11
3
0
17
14
2
2
84
5
443
3
2
5,941
-
-
-
-
-
-
0
0
0
0
0
0
1
1
8
15
1
2
1
2
0
0
1
1
0
0
0
0
0
1
16
29
1
2
46
77
2
2
361
526
131
139
219
232
57
13
10
43
6
16
0
2
1
4
49
90
4
25
639
945
45
224
42
15
1
9
1
3
0
1
0
0
0
0
4
26
0
1
49
364
0
2
1
13
1,699 2,829
-
-
-
-
1
0
1
2
1
2
0
0
0
2
2
3
25
23
38
2
2
4
1
1
2
0
0
0
1
0
1
0
0
0
2
1
2
4
2
4
107
120
160
7
9
11
156
163
237
5
5
7
484
474
750
73
72
112
75
70
118
1
1
2
536
210
257
175
73
93
69
17
15
24
46
32
155
179
229
45
63
64
429
440
657
5
5
8
1
1
2
0
0
0
96
32
234
80
79
33
7
4
7
4
8
18
137
259
301
8
12
148
662 1,001
923
4
5
31
3
3
11
3,388 3,386 4,517
-
-
0
1
0
2
25
2
1
0
1
0
1
1
60
4
171
6
509
77
76
1
93
34
5
9
181
59
465
5
1
0
47
8
1
17
479
58
907
65
9
3,385
-
-
-
Sum(P)
1
207
1
186
0
30
4
230
53
1,704
8
207
6
140
1
33
3
207
0
48
1
186
3
230
99
3,500
5
184
248
4,950
7
140
1,537 16,525
337
2,271
564
3,500
20
140
141
4,125
55
1,704
6
233
10
273
249
3,300
58
690
2,055 11,568
87
460
16
138
7
20
33
552
8
276
1
24
3
58
179
1,750
23
300
1,892
8,263
36
186
156
217
7,912
0
0
0
1
11
1
1
0
0
0
0
1
21
1
57
2
317
49
45
1
31
12
2
3
71
22
307
3
1
0
11
2
0
2
140
35
1,064
33
8
2,255
School-Home
Trips
-
598
702
541
157
####
-
-
-
3,442
490
1,605
300
5,836
-
-
-
1,382
27
303
23
1,735
-
-
-
-
-
-
-
-
-
-
257
1,271
940
319
2,787
-
-
-
-
-
-
-
-
7
5
719
4
736
21
873
195
80
####
220
2,483
2,617
1,704
7,023
-
-
-
-
-
-
-
-
47
40
4,779
72
4,939
-
-
-
-
-
-
25
109
300
1,422
1,856
-
-
-
-
-
-
-
-
Sum(P)
6,000
6,000
12,000
4,080
-
School-Other
School-Other
-
-
483
115
75
17
690
352
153
89
20
613
1,029
50
61
9
1,149
-
-
-
-
-
457 210 404
43
30
30
183 216 252
8
6
7
691 462 692
-
-
-
441
137
817
4,556
1,325
3,103
327
116
276
403
283
90
456
213
300
112
254
391
450
390
1,217
15,659
-
-
-
89
1,605
112
28
1,835
-
42
511
46
13
612
-
-
-
114
249
223
28
615
-
-
-
122
104
222
15
462
-
-
-
-
4 4 457 1 466 -
-
-
-
-
60
221
250
238
770
-
198
330
939
155
1,621
-
-
-
-
-
-
-
-
-
-
-
4
2 3
2 458 771 1
1 466 777 -
-
-
-
-
-
59
147
238
480
924
97
139
409
281
925
66
87
260
819
1,232
-
-
93
79
386
368
926
-
-
-
55
47
376
141
618
60
51
1,978
84
2,173
Sum(P)
4,000
4,000
8,000
2,720
-
Other-Home
Other-Home
-
4,036
784
1,289
393
261
731
3,986
994
395
307
188
255
695
152
247
268
404
636
510
305
1,141
17,978
-
-
-
3,698
6,950
13,117
2,855
1,430
2,180
2,536
1,125
2,346
1,469
587
597
2,990
456
684
708
1,432
2,030
1,531
870
2,935
52,525
-
-
-
-
47
20
61
671
2,389
1,827
81
27
61
83
342
23
110
221
240
29
64
102
115
97
809
7,419
-
-
-
-
-
701
544
457
341
220
368
4,326
4,317
2,471
1,228
349
1,018
2,267
265
378
745
932
1,227
889
489
1,554
25,084
-
-
-
-
-
-
16
136
584
6
49
197
18
85
389
65
75
354
88
54
265
177
111
569
56
3,368 10,838
19
508
1,379
63
501
1,640
92
325
1,202
1,143
161
735
20
502
6,228
104
1,152
8,874
2,860
125
583
537
211
1,707
26
387
3,971
58
496
4,686
89
667
5,868
103
488
4,141
89
271
2,232
993
876
6,843
6,621 10,549 63,288
-
-
-
-
-
119
44
137
496
503
715
424
142
796
1,307
2,688
583
5,190
1,622
6,396
651
1,770
2,151
2,931
3,187
12,509
44,359
-
-
-
-
58
14
20
5
38
10
34
9
26
7
54
15
273
54
109
19
169
38
121
28
72
18
1,451
178
961
186
56
15
197
49
5,782
454
2,666
372
1,928 2,423
1,079
896
496
330
1,178
590
16,768 5,710
-
-
-
-
-
-
-
Sum(P)
9,850
8,756
16,417
9,850
6,567
9,850
26,268
8,756
8,756
6,567
6,567
10,945
22,984
6,567
10,945
13,134
13,134
17,512
13,134
8,756
30,646
Other-Other
Other-Other Trips
17
779
774
31
2,837 1,195
84
217
25
57
174
162
564 1,103
43
99
33
78
25
54
8
14
38
83
81
167
9
15
12
21
28
55
15
28
23
40
11
19
7
12
74
120
4,884 4,352
2,848
1,192
91
433
118
899
1,090
73
159
114
31
97
352
33
46
83
61
88
42
27
268
8,147
-
-
-
-
-
84
25
176
217
57
163
434
118
905
44 1,791
817
1,797
11
688
814
683
189
441
142
447
28
9
25
75
22
59
117
32
78
52
31
108
41
14
46
171
54
163
50
29
104
59
32
122
36
12
41
30
10
33
44
15
52
32
11
35
30
10
32
295
150
615
4,891 3,256 4,897
-
-
-
573
1,112
1,102
445
144
449
585
3,777
513
366
100
555
1,132
106
148
374
197
284
135
86
863
13,045
-
44
100
74
28
9
25
3,784
3
41
26
6
40
76
6
8
24
12
16
8
5
45
4,380
-
-
-
34
80
164
77
23
61
522
42
12
1,103
33
124
1,516
31
35
90
103
102
40
22
170
4,384
-
26
56
117
120
33
79
372
26
1,101
17
53
79
607
47
48
61
62
71
61
31
219
3,286
-
-
-
8
15
32
53
32
110
101
6
33
53
10
20
91
1,754
269
17
15
21
16
16
612
3,284
-
-
-
-
-
40
86
101
43
14
47
570
41
125
80
20
24
1,654
21
74
1,490
330
260
93
48
336
5,495
-
84
172
364
176
56
168
1,159
78
1,525
612
91
1,650
71
89
232
936
1,624
974
317
155
996
11,530
-
-
-
-
-
-
9
13
15
22
34
48
51
61
30
33
106
126
107
152
6
8
31
35
47
49
1,752
271
21
74
89
232
14
327
324
30
18
61
15
56
22
73
16
57
16
61
555 3,699
3,278 5,488
-
-
-
-
29
57
87
37
13
43
386
25
91
62
18
1,497
942
18
61
20
1,819
649
184
83
482
6,601
16
30
64
32
10
34
203
12
104
63
15
332
1,638
16
57
1,822
9
1,351
255
95
445
6,604
24
42
92
46
16
54
294
17
104
72
22
262
984
23
74
652
1,353
26
2,704
516
1,434
8,809
-
-
12
20
44
33
11
36
140
8
41
62
16
94
320
16
57
185
256
2,706
12
1,195
1,344
6,607
-
Sum(P)
7
77
4,925
13
124
4,378
28
278
8,209
32
305
4,925
10
155
3,283
33
633
4,925
89
884 13,134
5
46
4,378
22
172
4,378
32
221
3,283
16
617
3,283
48
335
5,472
156
997 11,492
16
560
3,283
62
3,699
5,472
83
479
6,567
95
442
6,567
516
1,420
8,756
1,192
1,330
6,567
10
1,921
4,378
1,936
664 15,323
4,403 15,359
MyCity Comparison Data:
MyCity Comparisons
Trips
Home->
City
Work
#
Name City Architects Population
Paradise Eileen Lee &
City
Brett Leibowitz
250,000 137,500
Home->
School
#
Home->
Other
#
Work-> Home
#
% H->W
School-> Home
#
% H->S
Work-> Other
#
% H->W
School-> Other
#
% H->S
46,800
178,490
68,750
28,080
68,750
18,720
50%
60%
50%
Other->
Home
#
40% 265,960
Net Not
Home
#
-
Other->
Other
#
#
132,980
946,030
Total
#/Pop
3.78
average
TripLength
#
4.29