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Parking Study 03-23-2011Kimley -Horn
and Associates, Inc
Memorandum
March 23, 2011
■
Suite aN
To: David Cox, AIA 2550Univer4 Avenue West
Walmart Stores, Inc. St. Paul, Minnesota
55114
From: Brian Smalkoski, P.E., AICP, PTP, PTOE
William Matzek, P.E., CPESC, LEED AP
Date: March 23, 2011
Subject: Walmart 5949 -00
Chanhassen, MN
INTRODUCTION
Walmart Supercenters follow a variety of design variations, typically ranging
from approximately 90,000 to 220,000 square feet. At around 120,000 square
feet, the proposed Chanhassen Supercenter represents a relatively compact
footprint for a discount store that includes a full- service grocery department.
Classified as free - standing discount superstores (Land Use 813) by the Institute
of Transportation Engineers (ITE), Walmart Supercenters typically utilize
independent trip and parking generation rates from the more general free-
standing discount store classification (Land Use 815), which do not include full -
service grocery departments. Parking Generation, 4`" Edition`, published in 2010
by ITE, includes only a single parking generation study of a discount superstore.
Carried out on a Wednesday in mid- April, the observed peak parking demand
ratio for the 220,000 square -foot site was found to be 1.85 vehicles per 1,000
square feet gross floor area (GFA). Due to the lack of available data for Saturday
parking generation rates at compact discount superstores, it was necessary to
conduct counts at local sites in order to establish reasonable parking generation
rates for a typical Saturday in December at the proposed Chanhassen, MN
Walmart Supercenter.
PARKING STUDY
A total of three sites located in the Minneapolis -Saint Paul metropolitan area
were selected for analysis. Each site, located in Apple Valley, Bloomington, and
Eden Prairie, respectively, was originally constructed as a standard Walmart
store, and underwent expansion during 2009 -2010 to allow for the inclusion of a
full- service grocery department. With an average size of 142,000 square feet, the
three sites studied were 118,000, 121,000, and 188,000 square -foot Supercenters,
post - expansion. Parking supply at each site was calculated at 5.0, 5.0, and 4.4
spaces per 1,000 square feet GFA, respectively, for a weighted average of 4.7
spaces per 1,000 square feet GFA. Ten hourly independent field counts were
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Kimley -Horn
and Associates, Inc
Average Peak Period Parking Demand vs. 1,000 sq. ft. GFA
On a: Saturday (Non- December)
conducted on Saturday, February 19, 2011, at each of the three sites between
9:00 a.m. and 7:00 p.m. Although demand never exceeded the effective supply
of parking, snow storage reduced the observed February parking supply at each
site by 30 %, 32 %, and 10 %, respectively. The peak hour of demand was unique
at each site, with the average peak hour falling between 2 and 3 p.m. The final
results of the parking study documented Saturday maximum demand ratios of
2.54, 2.83 and 2.37 vehicles per 1,000 square feet GFA. This represents an
average ratio of 2.58 vehicles per 1,000 square feet GFA with a standard
deviation of 0.23. Final results of the parking study, formatted to represent
standard ITE documentation, are provided in Figure 1.
Land Use: 813
Free - Standing Discount Superstore
Statistic
Peak Period Demand
Peak Period
1:00 -200 .m; 200 -3:00 .m; 400 -5:00 p.m.
Number ofStudy Sites
3
Average Size ofStudy Sites
142000 sq. fl. GFA
Averag Peak Period Parking Demand
2.58 vehicles per 1,000 sq. R GFA
Standard Deviation
0.23
Coefficient of Variation
9%
Range
2.37 -2.83 vehicles per 1,000 sq. ft. GFA
85th Percentile
2.74 vehicles per 1,000 sq. R GFA
33rd Percentile
2.48 vehicles per 1,000 sq. R GFA
Saturday Non-December Peak Period Parking
Demand
600
500
400
0 300
6
6 1 200
100
0
0
20 40 60 80 100 120 140 160 180 200
x= 1,000 sq. ft. GFA
♦ Actual Data Points
J
March 23, 2011
Figure 1 - Parking Study Results
C=F) Kimley -Horn
and Associates, Inc
March 23, 2011
DESIGN CONSIDERATIONS
The parking study conducted in February represents a snapshot of potential
parking demand for a new site, and it is necessary to take into account additional
correction factors, depending on the planning objectives for the site:
• Seasonal Variation — Consumer spending fluctuates throughout the
year, and much like a shopping center, free - standing discount superstores
exhibit changing trip generation rates month -to- month. Figure 2, which
represents changing trip generation rates by month for shopping centers
in the United States, demonstrates that parking lot design is heavily
dependent upon the design month of interest. This is typically either an
"average" month, the non - December peak month, or December, the
month with peak demand.
Monthly Variation in Shopping Center Parking Demand
150%
140%
130%
r
u 12046
110%
i
100%
0
w
90%
c
0
70%
60%
50%
F Month 5yG` Ao pe
Figure 2 - Monthly Variation in Shopping Center Traffic
• Effective Parking Supply — The Urban Land Institute defines effective
parking supply as the number of occupied spaces at optimum operating
efficiency "'. Parking lots are typically perceived as full at less than the
actual total capacity, generally around 85 -95 percent occupancy. To
prevent driver frustration and reduce time spent searching for open
spaces, it may be necessary to take this factor into account during
parking lot design.
• Snow Storage — Depending on site location, snowfall may have a
significant effect on usable parking supply for three to five months out of
the year. It is often necessary to take this into account in the design
stage, or develop contingency plans such as contracted snow removal
services.
C =F1 Kimley -Horn
IIIIIIIIIIIIIIIIIN and Associates, Inc
March 23, 2011
• Shared Parking — Some sites have the potential to utilize shared
parking, particular if the peak hours of demand for each of the land uses
have no overlap. Schools and churches, for example, are often
compatible for shared parking reductions, and certain retail and
restaurant uses may exhibit offset peak hours.
All of these factors potentially play a role in the ultimate parking demand for the
site, and adjustments to average observed parking demand ratios must follow
from specific design objectives for the site and context sensitivity to the
surrounding communities.
The Chanhassen Supercenter will be located in a suburban industrial setting with
no nearby street parking. As such, it may be necessary to plan for peak seasonal
demand to prevent yearly parking spillover problems during the holiday shopping
season. By planning for absolute peak demand, however, there will be an
oversupply of parking for the remaining 11 months out of the year, making the
application of additional factors such as snow storage or effective parking supply
impractical. In such a case, it is reasonable to take the calculated average
observed parking demand ratio, and correct for seasonal variation to obtain a
design ratio for a December peak month:
Parking Supply Ratio = Observed Demand / Seasonal Factor
Seasonal Factor = 0.85/1.49 = 0.57
(February to December Peak)
= 2.58 / 0.57
= 4.5
In the calculation, a seasonal variation factor of 0.57 is used to account for the
time of year in which the parking study was conducted (February) relative to
parking demand during the peak month of December. Parking generation rates at
shopping centers in February represent about 85% of the demand during a typical
month, and 57% of the demand during December. December demand is typically
around 149% of the demand for a typical month. These seasonal adjustment
factors, when taken together, allow for a final recommendation of a supply ratio
of 4.5 spaces per 1,000 square feet GFA, which will provide adequate parking for
the peak month during the year, December.
KATWC LDEV\WALMARn704l9- 0 \DOCS \PARKING STUDY \Walmart Parking Study
Memo Chanhassen Final.docx
' Parking Generation, Fourth Edition. Washington, DC: Institute of Transportation
Engineers, 2010.
" Smith, Mary S. Shared Parking, Second Edition. Washington, D.C.: ULI -the Urban
Land Institute and the International Council of Shopping Centers, 2005. Page 14.
Smith, Mary S. Shared Parking, Second Edition. Washington, D.C.: ULI -the Urban
Land Institute and the International Council of Shopping Centers, 2005. Page 3.