HomeMy Public PortalAbout33 Mt Auburn St - Traffic Analysis 5.16.13_201306171516530245CONLEY
ASSOCIATES
Memorandum
To: Mr. Robert Bray
From: Jennifer Conley, P.E., PTOE
Date: May 16, 2013
Re: Trip Generation Analysis for Proposed Mixed Use Development
33 Mt. Auburn Street, Watertown, Massachusetts
Conley Associates, Inc. studied the trip generation impact of a proposed mixed use development
to be located at 33 Mt Auburn Street in Watertown, Massachusetts. The site is located on the
northeast corner of the intersection of Mt. Auburn Street and Taylor Street. The site is currently
occupied by a partially demolished brick building. The site has three driveways with two on Mt.
Auburn Street and one on Taylor Street. The site abuts Taylor Street which is a one way
roadway exiting onto Mt. Auburn Street.
The development program consists of 2,000 square feet of retail space and 24 apartment units.
Access to a portion of the on -site parking will be accessed via a driveway on Mt. Auburn Street.
The remainder of the on -site parking will be accessed via Taylor Street. Because Taylor Street is
a one-way roadway, access on Taylor Street will be restricted to left turn in/left turn out.
Existing Traffic Conditions
Conley Associates, Inc. assessed the existing traffic conditions in May of 2013. Automatic
Traffic Recorder (ATR) counts were conducted in front of the site on Mt. Auburn Street for a 24
hour period on Thursday, May 2, 2013. Mt. Auburn Street had an average daily volume of
17,500 (9,700 vehicles traveling eastbound and 7,800 traveling westbound). During the AM peak
hour (7:30 to 8:30 AM), 1,270 vehicles passed the site on Mt. Auburn Street. During the PM
peak hour (5:45 to 6:45 PM), 1,230 vehicles passed the site on Mt. Auburn Street.
Future Traffic Conditions
Trip generation estimates for the development of the proposed site were based on information
provided in the Trip Generation Manual, 9th Edition published by the Institute of Transportation
Engineers (ITE) in 2012. Specifically, Land Use Code (LUC) 230, Residential
Condominium/Townhouse, and LUC 826, Specialty Retail Center, were utilized for trip
generation calculations. The resulting trip generation is summarized in Table 1.
CONLEY
ASSOCIATES
33 Mt. Auburn Street -2- May 16, 2013
Table 1: Trip Generation Summary
Retails Residential2 Total
Weekday Daily In 44 70 114
Out 44 70 114
Total 88 140 228
Weekday AM Peak Hour In 1 2 3
Out 0 9 9
Total 1 11 12
Weekday PM Peak Hour In 2 8 10
Out 3 4 7
Total 5 12 17
1. Based on the Trip Generation Manual, 9th Edition, 2012, published by ITE. Calculations were based on
2,000 square feet of retail and utilized Land Use Code 826, Specialty Retail.
2. Based on the Trip Generation Manual, 9th Edition, 2012, published by ITE. Calculations were based on 24
residential units and utilized Land Use Code 230, Residential Condominium/Townhouse.
As shown in Table 1, the proposed retail and residential development is expected to generate 228
vehicle trips (114 trips in and 114 trips out) over the course of a weekday. The proposed mixed
use development is expected to generate 12 vehicle trips (3 trips in and 9 trips out) during the
AM peak hour and 17 vehicle trips (10 trips in and 7 trips out) during the PM peak hour.
The proposed trip generation analysis took no credit for alternative modes of transportation
(public transit, pedestrians, and bicyclists). The site is located within a Central Business District
(CBD) with other area amenities such as shopping, restaurants, banks, and recreational facilities
as well as dense residential neighborhoods. Therefore, it is likely that a portion of the trips to
and from the site would be made by pedestrians and bicyclists. In fact, there are numerous
Massachusetts Bay Transit Authority (MBTA) bus routes that run in and through this area.
Some of these routes include express bus routes to Copley Square and Downtown (Bus Routes
502 and 504) and local bus routes to Kenmore, Harvard, Central Square, and Cambridge (Bus
Routes 52, 57, 59, 70, 70A, and 71). In addition, there are local recreational facilities for
pedestrians and bicyclists along the Charles River.
Traffic Increases
The trips anticipated to visit the proposed redeveloped site were distributed to Mt. Auburn Street
based on existing traffic patterns. During the AM peak hour, the traffic volumes are distributed
approximately equally eastbound and westbound. During the PM peak hour, traffic volumes on
Mt. Auburn Street are distributed approximately 56 percent eastbound and 44 percent
westbound.
The expected site related traffic volumes were added to Mt. Auburn Street to determine the
percentage increase anticipated as a result of the redevelopment of the site. Table 2 below shows
CONLEY
ASSOCIATES
33 Mt. Auburn Street -3- May 16, 2013
the traffic increase, in percent due to the site redevelopment. As shown, the redevelopment of
the site is anticipated to increase traffic volumes on Mt. Auburn Street by less than one percent
during the peak hours.
Table 2: Peak Hour Traffic Increases
Existing Build Percentage
Volumes Volumes Increase
Mt. Auburn Street west of site
AM Peak Hour 1270 1276 0.5%
PM Peak Hour 1230 1240 0.8%
Mt. Auburn Street east of site
AM Peak Hour
PM Peak Hour
1270 1276 0.5%
1230 1237 0.6%
Conclusions
The proposed mixed use development is expected to generate 17 vehicles trips (10 in and 7 out)
during the highest peak hour. These trips will split to travel east and west of the site on Mt.
Auburn Street and will correspond to less than a de minimus increase in traffic volumes along
Mt. Auburn Street. It should be noted that this assumes no credit for alternative modes of
transportation such as the significant number of transit options located within walking distance
of the site. In addition, due to the central business district nature of the site location, a high
percentage of shopping, recreation, and even commuting trips will be done by foot or bicycle.
Therefore, it is likely that the traffic impact of the proposed mixed used development will be
minimal to the area.
Mt. Auburn Street (at #32)
east of Arsenal Street
City, State: Watertown, MA
Client: Conley Associates/ J. Conley
PRECISION
DATA
INDUSTRIES, LLC
P.O. Box 301 Berlin, MA 01503
Office:508.481.3999 Fax: 508.545.1234
Start
Time
12:00
12:15
12:30
12:45
01:00
01:15
01:30
01:45
02:00
02:15
02:30
02:45
03:00
03:15
03:30
03:45
04:00
04:15
04:30
04:45
05:00
05:15
05:30
05:45
06:00
06:15
06:30
06:45
07:00
07:15
07:30
07:45
08:00
08:15
08:30
08:45
09:00
09:15
09:30
09:45
10:00
10:15
10:30
10:45
11:00
11:15
11:30
11:45
Total 3408
Percent 51.2%
EB
WB
133334 A Volume
Site Code: 1483
Combin 02-May-
ed 13
A.M. P.M. A.M. P.M. A.M. P.M. Thu
24 130 11 100 35 230
20 146 18 118 38 264
6 144 12 103 18 247
20 70 120 540 8 49 128 449 28 119 248 989
8 146 14 114 22 260
12 154 14 102 26 256
10 151 13 108 23 259
10 40 130 581 13 54 88 412 23 94 218 993
8 145 0 112 8 257
2 138 3 94 5 232
4 144 6 110 10 254
3 17 166 593 4 13 77 393 7 30 243 986
6 172 6 132 12 304
6 158 9 142 15 300
2 151 12 138 14 289
2 16 152 633 1 28 148 560 3 44 300 1193
6 203 6 125 12 328
8 178 10 114 18 292
6 182 8 92 14 274
8 28 161 724 16 40 101 432 24 68 262 1156
10 192 17 84 27 276
20 192 24 87 44 279
40 174 32 100 72 274
46 116 193 751 44 117 128 399 90 233 321 1150
52 189 58 133 110 322
60 164 68 115 128 279
105 166 96 144 201 310
97 314 166 685 106 328 114 506 203 642 280 1191
116 175 135 110 251 285
139 180 160 114 299 294
164 145 150 100 314 245
147 566 120 620 174 619 102 426 321 1185 222 1046
176 152 158 47 334 199
160 100 143 101 303 201
148 116 132 76 280 192
152 636 114 482 138 571 80 304 290 1207 194 786
154 90 146 80 300 170
131 90 126 68 257 158
127 96 138 82 265 178
155 567 66 342 128 538 61 291 283 1105 127 633
120 54 120 94 240 148
122 64 132 72 254 136
136 57 114 42 250 99
130 508 42 217 99 465 36 244 229 973 78 461
122 52 109 44 231 96
128 44 117 32 245 76
140 24 106 22 246 46
140 530 36 156 96 428 30 128 236 958 66 284
6324 3250 4544 6658 10868
58.2%
48.8% 41.8%
Day Total 9732 7794 17526
Peak 07:30 - 05:00 - 07:15 - 03:00 - 07:30 - 05:45
Vol. 647 - 751 - 642 - 560 - 1272 - 1232
P.H.F. 0.919 0.973 0.922 0.946 0.952 0.939
Page 1
TRIP GENERATION WORKSHEET
x=
WEEKDAY
Average Rate =
Total Trips =
24
units LUC: Residential Condominium/Townhouse (230)
5.81
139.44
AM PEAK HOUR of ADJACENT STREET
Average Rate =
Total Trips =
17% of Trips In =
83% of Trips Out =
0.44
10.56
2
9
PM PEAK HOUR of ADJACENT STREET
Average Rate = L 0.52
Total Trips =
67% of Trips In =
33% of Trips Out =
12.48
8
4
AM PEAK HOUR of GENERATOR
Average Rate =
Total Trips =
19% of Trips In =
81% of Trips Out =
0.44
10.56
2
9
PM PEAK HOUR of GENERATOR
Average Rate =
Total Trips =
64% of Trips In =
36% of Trips Out =
SATURDAY
0.52
12.48
8
4
Fitted Curve Equation = Ln (T) = 0.870* Ln(X) +2.46
Total Trips =
185.84
Fitted Curve Equation = Ln (T) = 0.80* Ln(X) +0.26
Total Trips =
17% of Trips In =
83% of Trips Out =
16.48
3
14
Fitted Curve Equation = Ln (T) = 0.82* Ln(X) +0.32
Total Trips =
67% of Trips In =
33% of Trips Out =
18.65
12
6
Fitted Curve Equation = Ln (T) = 0.82* Ln(X) +0.15
Total Trips =
19% ofTripsln=
81 % of Trips Out =
15.74
3
13
Fitted Curve Equation =
Total Trips =
64% of Trips In =
36% of Trips Out =
T=0.34(X)+35.87
44.03
28
16
Average Rate =
Total Trips =
PEAK HOUR of GENERATOR
Average Rate =
SUNDAY
5.67
136.08
Fitted Curve Equation = T= 3.62 (X) + 427.93
Total Trips =
514.81
0.47
Total Trips =
54% of Trips In =
46% of Trips Out =
11.28
6
5
Fitted Curve Equation =
Total Trips =
54% of Trips In =
46% of Trips Out =
T= 0.29 (X) + 42.63
49.59
27
23
Average Rate =
Total Trips =
PEAK HOUR of GENERATOR
Average Rate =
4.84
0.45
116.16
Fitted Curve Equation = T=3.13 (X) + 357.26
Total Trips =
432.38
Total Trips =
49% of Trips In =
51% of Trips Out =
ITE TRIP GENERATION
10.8
5
6
Fitted Curve Equation =
Total Trips =
49% of Trips In =
51 % of Trips Out =
T=0.23 (X) +50.01
55.53
27
28
CONLEY
9TH EDITION ASSOCIATES
TRIP GENERATION WORKSHEET
x=
WEEKDAY
Average Rate =
Total Trips =
2.000
1000 SF
LUC: Specialty Retail Center (826)
44.32
88.64
AM PEAK HOUR of ADJACENT STREET''
Average Rate =
Total Trips =
61% of Trips In =
39% of Trips Out =
0.70
1
1
0
PM PEAK HOUR of ADJACENT STREET
Average Rate =
Total Trips =
44% of Trips In =
56% of Trips Out =
SATURDAY
2.71
5.42
2
3
Fitted Curve Equation =
Total Trips =
T = 42.87X +37.66
123.40
Fitted Curve Equation =
Total Trips =
61% of Trips In =
39% of Trips Out =
Not Given
Fitted Curve Equation =
Total Trips =
44% of Trips In =
56% of Trips Out =
T= 2.40X + 21.48
26.28
12
15
Average Rate =
Total Trips =
42.04
84.08
SATURDAY PEAK HOUR of GENERATOR2
Average Rate =
Total Trips =
52% of Trips In =
48% of Trips Out =
3.52
7.04
4
3
Fitted Curve Equation = Not Given
Fitted Curve Equation =
Total Trips =
52% of Trips In =
48% of Trips Out =
Not Given
AM PEAK HOUR of ADJACENT STREET
Average Rate =
Total Trips =
62% of Trips In =
38% of Trips Out =
0.96
1.92
1
1
PM PEAK HOUR of ADJACENT STREET
Average Rate =
Total Trips =
48% of Trips In =
52% of Trips Out =
3.71
7.42
4
4
SATURDAY PEAK HOUR of GENERATOR
Average Rate =
Total Trips =
52% of Trips In =
48% of Trips Out =
ITE TRIP GENERATION
4.82
9.64
5
5
LUC: Shopping Center (820)
Fitted Curve Equation = Ln (T) = 0.61* Ln(X) +2.24
Total Trips =
62% of Trips In =
38% of Trips Out =
14.34
9
5
Fitted Curve Equation = Ln (T) = 0.67* Ln(X) +3.31
Total Trips =
48% of Trips In =
52% of Trips Out =
43.57
21
23
Fitted Curve Equation = Ln (T) = 0.65* Ln(X) +3.78
Total Trips =
52% of Trips In =
48% of Trips Out =
68.75
36
33
CONLEY
9TH EDITION ASSOCIATES
1AM PEAK HOUR of ADJACENT STREET determined through ratio of Shopping Center (LUC 820)
AM peak hour of adjacent street and PM peak hour of adjacent street. (0.96/3.71)*2.71 =.701
2 Sat. PEAK HOUR of GENERATOR determined through ratio of Shopping Center (LUC 820)
Sat. peak hour of generator and PM peak hour of adjacent street. (4.82/3.71)*2.71 =3.552