HomeMy WebLinkAbout1160 Burlingame Avenue - Technical StudyAN ANALYSIS OF PROJECTED TRIP GENERATION
TACO BELL - BURLINGAME
January 24, 1986
REVISED
��cEirr�u
JA�i 29 1986
�n�°��r.
Prepared by:
Nick Bevilacqua, P.E.
Vice President, Planning Division
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LOCATION
BURGER KING
(FRONT DOOR)
BURGER KING
(BACK DOOR)
LA PETITE
BOULANGERIE
VILLAGE
LATERN
COPENHAGEN
BAKERY
TACO HELL
FISHERMANS
WHARF
TABLE lA
AFTERNOON PEAK HOUR TRIP DATA
AVERAGE
PEAK PERSON $ DRIVE GROUP
HOUR TRIPS TO EAT SIZE $ CARRYOUT
1145- 75 25$ 1.6 39$
1245
--- NOT OBSERVED -----
1215-
1315
1215-
1315
1130-
1230
1215-
1315
48 15$
12 -
89 32$
57 3�
1.3 65$
3 0$
2.02 13$
1.56 24$
TACO BELL - BURLINGAME - REVISED
Page 10
�
TABLfi 1B
EVENING PEAK HOUR TRIP DATA
LOCATION
BURGER KING
(FRONT DOOR
BURGER KING
(BACK DOOR)
LA PETITE
BOULANGERIE
VILLAGE
LATERN
COPENHAGEN
BAKERY
TACO BELL
FISHERMANS
WHARF
OFF AVERAGE $
PEAK PERSON$ DRIVE GROUP CARRY
HOUR TRIPS TO EAT SIZE OUT OCCUPANCY
1615- 43 46$ 1.43 35� 138
) 1715
1730- 53 93$ NOT 43� 138
1830 APPLICAHLE
1630- 16 50� 1.45 75� -
1730
1900 --------NOT OBSERVED------------ 80
2000
(FROM MANAGER)
1615- 55 16$ 1.45 40$ 70
1715
1715- 46 4$ 1.73 20$ 126
1815
TACO BELL - BURLINGAME - REVISED
Page 11
2. The standard trip generation manuals show the following:
Source Peak Hour Trips/1000 sf
CALTRANS
"Quality Restaurant"
1800-1900, or
1900-2000
m
ITE
"Quality Restaurant"
ITE 1800-1900
"High Turnover,
Sit Down Restaurant"
3. The literature search showed a limited amount of data on
trip generation in general, and restaurants in particular.
Two sources did have some additional data on trip
characteristics of take out type restaurants.
The first source of data was an article in April 1980 issue
of the Institute of Transportation Engineers Journal. The
article talked about "fast food" restaurants (see appendix
B) in Delaware. The important points relative to Taco Bell
are:
-Typical fast food operations are located adj acent to
high traffic areas to capture existing traffic. The
restaurant tend to follow the traffic, more than lead
it.
-Two different studies showed only 39$-45g of the
customers came specifically to the fast food facility
to eat, and returned directly to their place of origin.
1200-1300
75
164
The San Diego Association of Governments has published a manual
of traffic generation data for various land uses in San Diego
(see Appendix C). The data on the 3 sites studied showed the
following:
Source
Dennys
Anthonys Fish Groto
McDonalds
Peak Hour
1200 - 1300
1200 - 1300
1200 - 1300
Trips/1,OOOsf
363
139
652
TACE HELL - BURLINGAMB - REVISED Page 12
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ARCHITECTURAL DIMENSIONS
1501 NORTH BROADWAY, SUITE 300
`.ti'ALN!JTC;RF[K CALIFORNIA 9»°�96-4^3R
,� � �. .:a i�:._f:i ��
TO City of Burlingame
Planning Department
LETTER OF TRANSMITTAL
Date 1_2�_86 Job No. CY106 40
Attention Helen Williams
Re: Taco Bell
1160 Burlin ame Ave.
Burlin ame CA
501 Primrose Rd.
�
Burlingame, CA 94010
��� z9 ��e�
GENTLEM EN:
WE ARE SENDING YOU
O Shop drawings
❑ Copy of letter
� Attached
❑ Prints
❑ Reproducibles
`�'��"E
❑ Under separate cover via
❑ Bid documents
� Progress prints
the following items:
❑ Construction documents
C�Contract documents O �r�ie,�
COPIES DATE NO. DESCRIPTION
10 1-24-86 5 Revised Anal sis Re ort Sheets
THESE ARE TRANSMITTED as checked below:
O Foryourapproval
❑ As requested by you
�or your use
❑ As requested by
❑ For review and comment
REMARKS: The attached sheets have been revised to reflect the correct
time indication, and location of the Copenhagen Bakery.
Dick Montgomery/Calny ' �
�Tytus Boleslawski, Project Architect �-�''
COPX TO: SIGNED:
�CY106/C V. A lan Palmer, Pro�ect Manager
cs
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AN ANALYSIS OF PROJECTED TRIP GENERATION
TACO BELL - BURLINGAME
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OOM1rIUNiCAT10N RECEIVED
AFTER PREPARATIO�N
OF ST1yFf REA(�RT
R�CEIVLd
JA N 2 4 1g86
PUNNING OF�ME
AN ANALYSIS OF PROJECTED TRIP GENERATION
TACO BELL - BURLINGAME
January 23, 1986
Prepared by:
Nick Bevilacqua, P.E.
Vice President, Planning Division
PURPOSE
The purpose of this study is to review available studies and
collect additional data or research on the trip generation rate
for restaurants with similar operating characteristics to the
proposed use. The need for this type of original research is
found in the uniqueness of the type of operation of the proposed
restaurant.
The proposed use is located in an established area, without
dedicated parking or drive up facilities, providing either take-
out, or sit down eating.
The typical sources of information for trip generation rates are
the:
-Trip Generation handbook, published by the Institute of
Transportation Engineers.
-Trip Ends Generation Research Counts, published by CALTRANS.
These typical sources are not adequate since their data does not
cover the type of restaurant proposed. In addition, in both
cases, their data is collected at isolated, single purpose
developments where the single destination is the use being
studied, and the pedestrian traffic is totally insignificant.
The traditional studies were considered to provide some back-
ground information, and other techniques were used in an effort
to create some model of the trip characteristics of the existing
restaurants similar to the proposed use.
0
� TACO BELL - BURLINGAME
Page 2
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THE PROPOSED USE
The proposed restaurant is a Taco Bell, to be located in a
remodeled existing restaurant. The use will be part of a
developed block, in an existing shopping area. There is no
drive-in facility, and there is no adjacent parking. The
architectural design will be upgraded to reflect a quality
restaurant appearance. The operation will include sit down
facilities, as well as, take-out services, similar to other
restaurants on the street.
Some of the building details are:
- Full time employees - 5 to 15
- Part time employees - 10 to 35
- Operating hours - 12 hours/day,
7 days/week
Dining Area (90 seats maximum) ......................1,639 sq. ft.
Storage/Service Area ................................ 386 sq. ft.
Kitchen/Prep Area .................................. 415 sq. ft.
TOTAL AREA ..................2,440 sq. ft.
� TACO BELL - BURLINGAME
Page 3
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STUDY METHODOLOGY
The following techniques were used to investigate trip generation
rates for restaurants with similarly operating characteristics to
the proposed Taco Bell.
1. A field survey of existing restaurants on Hurlingame Avenue,
and an in-town Taco Bell at Fishermans Wharf in San
Francisco, was conducted on Tuesday, January 21, 1986.
2. Standard Trip Generation Manuals from CALTRANS and The
Institute of Transportation Engineers were reviewed.
3. A literature search was conducted at the Institute of
� Transportation Studies (ITS) library at the University of
California, Berkeley.
� All of these data sources were considered in terms of possible
trip generation rates, peak hours, and single purpose trip
statistics.
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TACO BELL - BURLINGAMS
Page 4
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SUNIIKARY OF DATA SOURCES
There is no clear stream of data that conclusively leads to
specific and detailed information on the exact characteristics of
expected travel at the proposed Taco Bell. Some general conclu-
sions can be made that help set parameters for evaluating the
likely impact on Burlingame Avenue.
-The traditional sources of information for Trip Generation
data, the Institute of Transportation Engineers and
CALTRANS, are not applicable to the Taco Bell type of use
since they measure trips at "isolated single use
developments". These sources comment that very little data
is available to establish trip rates for restaurants in
combined retail-restaurant areas.
-The traditional sources also do not identify the percent of
� traffic that is already in the passing stream, and separate
the trips that are solely attracted to the specific use.
-Most of the restaurants in the traditional sources have a
� peak hour around 1200 - 1300. When the peak hour is in the
evening, it is generally 1800 - 1900.
�
�
�
-All of the data in the traditional studies are reported as
vehicle trips. Only one of the observations reported on
vehicle occupancy and that was 2.0 people/vehicle.
-Two literature sources report that in the case of fast food
operations, located in heavy traffic corridors, only 39$-45�
make a single purpose trip to eat only, and then return
directly to their origin.
-Data from San Diego studies shows a clear relationship
between the type of restaurant, the amount of sit down
provided, and the level of traffic generated.
-Additional research is needed of restaurant uses to reflect
� the influences of the specific location, the details of the
changing operations, and the definition of the traffic
specifically attracted by the use only.
�
.
�
� TACO HELL - BURLINGAME
Page 5
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CONCLUSIONS
The following general conclusions can be made from the field
survey compared to the other sources investigated.
-The peak hour will occur between 1145 and 1315.
-A small percentage of the people attending the restaurant
during the peak hour, 25$, will drive for the sole purpose
of eating. The remainding 75$ will combine the meal trip
with another trip, or walk to the site.
-Less than 40g will order "take out" service.
-The peak hour person trips will represent about 60� of the
maximum occupancy load.
-The average number of people in each group is about 1.6.
The data at Burger King was collected at the front door and the
back door. The back door is adjacent to a major parking area
which provides easy access to the site for take out. With this
accessibility to parking and drop off, the site operates closer
to a traditional fast food restaurant. The data supports this by
showing a later evening peak hour, 1730 - 1830 in the back, than
the front at 1615 - 1715 and a higher percent of drive only.
Consequently, the availability of adjacent parking significantly
affects projected traffic.
After analyzing the field data and considering the techniques for
working the standard data sources the following empirical
equation was developed:
P.H.V.T. = Max. Occ. X P.H.L.F. X$ Drive/Only
Average Vehicle Occupancy
Where: Peak Hour is the 4 consecutive quarter hours with the
highest total trips.
P.H.V.T. is the number of vehicle trips in the peak
hour.
Max. Occ. is the maximum occupancy of the facility
according to the building code.
P.H.L.F. is the percent of the maximum occupancy in the
facility during the peak hour of operation.
TACO HELL - BURLINGAME Page 6
$ Drive On� is the percent of person trips, made
during the peak hour, that were from the point of
origin to the restaurant and return without any side
trips.
Average Vehicle Occupancy is the average size of groups
observed during peak hour.
Using this equation, the peak hour vehicle trips are calculated
as:
P.H.V.T. = 90 x 60� x 25�
1.6
P.H.V.T. = 8.4
� TACO BELL - BURLINGAME
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� TACO BELL - HURLINGAMfi
APPENDIX A
DATA SUNIINARY
Page 8
:.
DATA SZJNIl�IARY
1. Field Survey
The following Table is a summary of the field data collected
21 January at the Burlingame, and San Francisco site. The
data was collected by observing people entering and leaving
the study sites during the afternoon period, 1100 - 1430,
and the evening period, 1600 - 1900. The four consecutive
quarter hours with the highest total trips, was determined
to be the peak hour. In addition to the person trip count,
a maximum sample were interviewed regarding their method of
travel to the site.
The interview questions were:
Did you drive or walk?
If you drove, was this your only stop?
The point of the interview was to determine the number of
people who drove to the site for the single purpose of
eating, without planning any other trip purpose.
The summary of the field data is:
Peak hour 1130-1315
$ Drive to eat only, (afternoon) 15-25$
$ Drive to eat only, (evening) 50-90�
$ Carry out (exclusive of bakeries) 39-43�
� TACO BELL - BURLINGAME
Page 9
��
TABLE lA
AFTERNOON PEAK HOUR TRIP DATA
AVERAGE
PEAK PERSON $ DRIVE GROUP
LOCATION HOUR TRIPS TO EAT SIZE
I l�
BURGER KING 1 145— 75 25$ 1.6
( FRONT DOOR ) ��� 1 �245
BURGER KING --- NOT OBSERVED -----
(BACK DOOR)
LA PETITE !� I`� 1c�2-15— 48 15$
BOULANGERIE ���j1> 1��15
VILLAGE 1,�215— 12 —
LATERN 1,�315
COPENHAGEN 1c�- 30— 89 32$
BAKERY 1 Z30
�,
TACO BELL 1t215— 57 3$
FISHERMANS 1,�'315
WHARF �
$ CARRYOUT
39$
1.3 65�
3 0$
2.02 13�
1.56 24$
TACO BELL - BURLINGAME Page 10
_ TAHLE 1B
t',����>
��FW-��6 PEAK HOUR TRIP DATA
LOCATION
BURGER KING
(FRONT DOOR
BURGER KING
(BACK DOOR)
LA PETITE
BOULANGERIE
VILLAGE.
LATERN
COPENHAGEN
BAKERY
TACO BELL
FISHERMANS
WHARF
0
OFF AVERAGE $
PEAK PERSON$ DRIVE GROUP CARRY
HOUR TRIPS TO EAT SIZE OUT OCCUPANCY
1,615- 43 46� 1.43 35$ 138
) 1,715
1,730- 53 93� NOT 43$ 138
1,830 APPLICABLE
1,630- 16 50$ 1.45 75$ -
1,730
1,900 --------NOT OBSERVED------------ gp
2,000
(FROM MANAGER)
1,615- 55 16� 1.45 40$ 70
1, 715
1,715- 46 4$ 1.73 20$ 126
1, 815
TACO BELL - HURLINGAME Page 11
2. The standard trip generation manuals show the following:
Source Peak Hour Trips/1000 sf
CALTRANS
"Quality Restaurant"
1,800-1,900, or
1,900-2,000
`'•,�
ITE
"Quality Restaurant"
ITE
"Quality Restaurant"
3. The literature search showed a limited amount of data on
trip generation in general, and restaurants in particular.
Two sources did have some additional data on trip
characteristics of take out type restaurants.
The first source of data was an article in April 1980 issue
of the Institute of Transportation Engineers Journal. The
article talked about "fast food" restaurants (see appendix
B) in Delaware. The important points relative to Taco Bell
are:
-Typical fast food operations are located adjacent to
high traffic areas to capture existing traffic. The
restaurant tend to follow the traffic, more than lead
it.
-Two different studies showed only 39$-45$ of the
� customers came specifically to the fast food facility
to eat, and returned directly to their place of origin.
1,200-1,300
1,800-1,900
75
164
The San Diego Association of Governments has published a manual
of traffic generation data for various land uses in San Diego
(see Appendix C). The data on the 3 sites studied showed the
following:
Source
Dennys
Anthonys Fish Groto
McDonalds
Peak Hour
1,200 - 1,300
1,200 - 1,300
1,200 - 1,300
Trips/1,OOOsf
363
139
652
TACO BELL - BURLINGAME Page 12
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Fast Food Restau rant
Trip Generation:
Another Look
By Roy Haywood Lopata and Stuart J. Jaffe
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28 ITE Journal/April 1980
— — � V...� � u�
_ _� .
s.a,..,. -
u
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J � �.
; A
� �
j IN TNE �
i O �
Engineers (ITE) Trip Generation study
of 1976 and the Ohio Section of ITE's
1974 report. Data was also provided
by the Delaware Department of
Transportation.' The Maricopa studies
included national data on trip
generation and developed average
rates by types of land use, inctuding
fast food restaurants. Table 1
summarizes portions of the Maricopa
data.
As Table 1 illustrates, fast food
restaurants generate the highest daily
peak hour traffic vofumes of all land
uses surveyed-769 trips daily,
including 1 10 during the peak hour of
operation, per 1,000 square feet GFA.
While convenience food stores
generate more trips daily per acre
than fast food restaurants--3,650
versus 2,642—the peak hour traffic
impact of fast food restaurants per
acre is more substantial. Land uses of
less traffic generation include: banks
(206 trips per 1,000 square feet GFA),
sit-down restaurants (163),
supermarkets (135), and discount
stores (51).
As stated above, the actual volume
of traffic an individual facility will
generate depends on many factors. Of
the twenty studies reviewed by
Maricopa County, trip rates for fast
food facilities ranged from 356 to
1,664 trips per 1,000 square feet
GFA. However, the overall average
derived-769 trips daily and 1 10
during the peak hour per 1,000
square feet GFA—represents the best
estimate available of the traffic impact
of a particular fast food faciliry.
PORTION OF TOTAL FAST FOOD
RESTAURANT TRIP GENERATION
DRAWN DIRECTLY TO SITE
While it is important to consider the
total volume of traffic generated by a
particular facility because ingress and
egress of customers can significantly
interrupt the flow of traffic on adjacent
roadways, a carefu� examination of
traffic generation should include a
breakdown of the proportion of
vehicles brought onto the roadways
specifically to visit the new facility. In
other words, what portion of a new
fast food restaurant's patrons will
leave their home, school, or work
location to eat at the facility, and then
return to their place of origin. Data
which analyzes traffic specifically
drawn to a fast food restaurant site is
crucial because it is often argued that
such facilities capture a large
percentage of business from existing
traffic, rather than by drawing vehicles
directly to the restaurant from home or
work.
Little research has been
conducted, however, which breaks
down proportions of trips generated
specifically by a particular land use.
The Institute of Transportation
Engineers notes that:
"It is essential that emphasis be
focused on detining how much of the
total generated traffic would be
attracted from the passing adjacent
street traffic to all building and to more
accurately define the traffic impact of
the street system caused by
development of a site."e
In an effort to better ascertain the
nature of fast food trip generation, the
Newark Planning Department
surveyed 143 patrons at a fast food
facility in Newark. The survey—
conducted on Friday, March 23,
1979, 10:00 to 11:00 a.m.; Friday,
April 6, 1979, 1 1:00 a.m. to 12:30
p.m.; and Wednesday, May 2, 1979,
12:30 to 2:00 p.m. and 4:00 to 5:00
p.m.—c��sisted of a brief
questionnaire addressing where
customers drove from (i.e. home,
work, etc.) and where they went after
eating. The questionnaire (see Figure
1) was administered to customers as
they entered the restaurant.
The 143 customers surveyed
represent approximately ten percent
of the restaurant's average daily
weekday patronage. Generalizations
based on the results of this survey
may be made for this facility during
Table 1. Trip Generation of Selected Land Uses
Land Use
Peak Hour Generation Daily Trip Generation
Per 1,000 GFA Per Acre Per 1,000 GFA Per Acre
Fast Food Restaurants 110
Convenience Food Stores 45
Banks 31
Sit-down Restaurants 18
Supermarkets ' N/A
Discount Stores 6
Department Stores N/A
Shopping Centers 4
N/A--Not Available
394
374
150
73
N/A
58
N/A
42
769
427
206
163
135
51
36
40
2,642
3,650
1,002
686
N/A
564
320
443
Source: Trip Generation by Land Use, Maricopa County Association of Govern-
ments, January 1, 1979.
TRIP GENERATION QUESTIONNAIRE
Newark Plenning Departms�t
Hello, my name is , and I am with the Newark Planning Department. I would like to ask you
a few brief Questions for a traffic study we are conducting?
(1) Oid you drive here today?
Yes
No (if no, say thank you)
(2) Where are you driving from?
Home
Work
Shopping
Business Trip
Other (Please Specify)
(3) Are you going somewhere else? (Or dId you just come here to eat and plan to return to where you
drove hom?)
Yes
No
(4) If yes, where else are you going?
Shopping
Business Trip
work
Home *
Other (Please Specify)
Date Location
surveyor
Figure 1. Trip generation questionnaire.
30 ITE Journal/April 1980
this time of the year with a ninety
percent level of confidence, allowing
an error margin of ±7 percentage -
points. Moreover, it is reasonable to
assume the results are generalizable
to other fast food restaurants in similar
locations in light of the comparable
findings of a nationwide study by
McDonald's.9
The Planning Department survey
revealed that approximately 39
percent of those interviewed, 56 of
143, came specifically to the fast food
facility to eat and returned directly to
their place of origin. As Tables 2& 3
illustrate, of the customers making
single-purpose trips, 46 percent came
from work, 30 percent from home, and
23 percent from school. McDonald's
reported similar findings in a
nationwide study of forty of their
facilities—approximately 45 percent
of their customers made single-
purpose trips.1O.
Thus, between 35 and 50 percent
of fast food restaurant's patrons are
drawn from home, school or work
locations to eat and return to their
place of origin. In Newark, on
roadways such as Cleveland, South
College and Delaware Avenues, and
Main Street, this additional volume
can add substantially to an already
congested and hazardous traffic
situation.
CONCLUSIONS
As documented above, fast food
restaurants have considerable impact
Table 2. Trip Generation Survey
Re8ults .
Trip Type Number Percent
Single-Purpose 56 32.9°�
Multi-Purpose �7 60.8%
TOTAL 143 100.0%
on traffic. On the average, fast food
facilities generate 769 trips daily per
1,000 square feet of gross floor area,
including 1 10 trips per 1,000 square
feet during peak hour operation. A
fast food restaurant of 2,500 square
feet GFA would generate
approximately 1,923 trips per day, of
which 275 are generated during the
peak hour of operation. Beyond that,
the Newark Planning Department's
traffic survey corresponds to the data
generated by McDonald's indicating
that a considerable portion (about 40
percent) of the vehicles that enter fast
food restaurants are drawn
specifically to the facility and do not
come from existing traffic.
Because the majority of locations
suitably zoned for fast food
restaurants (i.e. Cleveland, Delaware,
and South College Avenues, and Main
Street) already experience traffic
problems, the traffic impact of a new
fast food restaurant should be
carefully evaluated in the context of
whether the facility will "adversely
affect the health or safety of persons
residing or working in the
neighborhood of the proposed use,"
as specified in the city's Zoning Code
regulations for special use permits."
Since it is highly unlikely that
prospective fast food restaurant
operations would propose such
facilities on streets with low traffic
volume, the amount of new traffic
generated ought to be carefully
evaluated by other communities,
especially in light of the findings
described above concerning the
significant percentage of additional
traffic drawn to fast food restaurants.
Collection of information on trip generation for
specific land uses has been one of the Institute's
ma�or technical activities in recent years. The
200 page report on Trip Generation, for example,
was published in 1976 and updated in 1979. The
Institute encourages transportation professionals
to conduct studies similar to the one described
here and to share the results with the profession.
Table 3. Origin/Destination of Singte-Purpose Tripa
Origin/Destination
Work
Home
School
TOTAL
Number
26
17
13
56
Percent
46.4%
30.4%
23•2%
100.0%
Source: 1979 Planning Department Survey of a fast food facility in Newark con-
ducted March 23, 1979, 10:00 to 11:00 a.m.; April 6, 1979, 11:00 a.m.
to 12:30 p.m.; and May 2, 1979 from 12:30 to 2:00 p.m. and 4:00 to
5:00 p.m.
References
1. Alan M. Voorhees 8 Associates, Inc.,
"Micro-Transportation Study for Newark,
Delaware," October, 1977.
2. Newark Ptanning Department, "Analysis of
Newark Residents' Satisfaction with Ciry
Services," October 23, 1978.
3. Roy H. Lopata and Stuart J. Jaffe, Fast
Food Restaurant Trip Generation, Newark
Planning Department, Newark, Delaware, May,
i s�s.
4. Ciry of Newark Zoning Code, Section
32-78. P. 512.97.
5. See Robert M. Anderson, American Law of
Zoning, Vol. 1, Section 7.09. San Francisco:
Bancroft-Whitney, 1968.
6. Maricopa Association of Governments. Trip
Generation By Land Use, April 1, 1974; updated
January 1, 1979.
7. Institute of Transportation Engineers, Trip
Generation, 1976; Ohio Sectio�, ITE, "Trip
Generation Provides Useful Preliminary Data."
March, 1974; Delaware Department of
Transportation, Traffic counts of two fast food
facilities in Dover; and Robert Shaw, "Traffic
Generation and Fast Food Restaurants." Tra(fic
Engineering, March 1974.
8. Institute of Transportation Engineers, Trip
Generation, 1976.
9. Daily patronage 1,373 for McDonald's
nationally, and traffic generation for McDonald's
nationally from information sheet received from
Delaware Department of Transportation,
compiled by a private consultant for McDonald's
(no date).
10. Ibid.
1 1. Zoning Code, Section 32-78.
Lopata is planning
director for New-
� ark, Delaware, and
was previously ad-
ministrative assist-
, ant to the city man-
ager of Newark. He
received his M.A.
and Ph.D. from the
1 B� University of Dela-
ware.
Jaffe is associate
planner for Newark
and was previously
with Morton Hoff-
man and Co. He re-
ceived his MCP
from the University
of Maryland.
ITE Journal/April 1980 31
APPENDIX C
SAN DIEGO TRIP GENERATION DATA
� TRIP GENERATION STUDY SUNIMARY
.�.
`` Namc ��f �IuJy .�<<� ....... Anthony's.Fish_ Grotto
..............................................
Lu.ai�un Chula,VlSte
.............. .............................................................................
Type of t.cility ....RBStaurBnt ...........................................
........................
Date ..............�Q���.%8.-.�Q�12�8...........................................................
S�udy ......R:.3 .............
BACKGROUND DATA
.........90 P�rking,SP.e� ...........................................................................
.................................................................................... ......
,_, 9 000 $quare.Feet of. Fioor Area,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
. ............ .. ..... ........ ......................................................................._....................................
....... ��$.....$ea�lllB.�aPa�l�1/ .................................................................................................................................................................--
..........�.,t�...... E!nP. �4Y.�� ................................................ ...........
............�.1..�1���� ................_.....................................................................................................................N....�...................................._
..........................................._.........................................................................................................................................................._._.......
.........................................................................................................................................._...................................................................... _
............................................................................................................................................................................................................•--..._
TRAFFIC DATA
:�
WEEKOAY
SATURDAY
suNoav
TRIP RATIOS
M PEAK HOUA
INBOUND OUT
52
20
30
....Trips/Parkin�. SP.a� .........................
,,.,Trips/1,000. Square _Feet,..,..,,....
....Trips/Seat ...............
...........................
....Trips/EmploY.� ................................
.... Trips/Acre ..................................•-•----
,�. ...............................................................
��,,
.................................. ...........................
.................................................................
71ME
TOTAL HOUR
s
1100
1��
1100
WEEKDAV
.............13:9........
...........139.0
............... 5 :r.'.........
............. � :8........
........ �� .�.'�.:0........
..............................
..............................
..............................
P M PEAK HOUR
IN80UN0 OUTBOUND TOTAL
93
� ��
70
SATURDAY
.............15.7
...............
......-•---157:� ........
............... 6:2.........
.............25.6
.......1,281.8
..............................
..............................
..............................
TIME
►�OUR
lEGiNS
� 200
i8��
���
' 1800
SUNDAY
....13.8 •
138.0
.............. 5:4.........
............ � :5..._....
.......1,127:$
..............................
..............................
�
za r+ouR
TOTAL
1,254
��4�0
1,240
.
TRIP GENERATION STUDY SUMMARY
Nantc of xfudy �ilc McDonald�5
Lurauun .... Conyoy.St,_San,Diego� CA ......................:........................
Typeof iscility .... ReStaurBnt ...................................................................
Date........9/22�78„-, 9/28/78 ..................................................................
Study ......R:�......
BACKGROUND DA7A
......... �.... Parkin9.SP.� .........................._.................................................................................................._..........................-----.........
... �,��.....$4.uaro, Feet of. Floor Area ........................................................................................_........................................................
.......1�.....S�at,i�9.CaP��i]n ...................................................................................................................................................................
..........�J.Q.....��lR�4Y.�i ...................................................................................................................._..:....................................................
............Q„�.A�fB�..........._ ............................................».........................»......................................._......................................................--
................................................................................ . .
................................................................................................................................................................_................................. .
........................................................................................................................................................................._............. . ..
TRAFFIC DATA
�
M PEAK HOUR
�
WEEKOAV
SATURGAY
suNOAv
TRIP RATIOS
INBOUND OUTBOUND TOTAL
98
70
50
....Trips/Parkin� SQace .........................
....Trips/7.00O,Square Feet .................
Trips/Seat
.................................................................
....Trips/Employee ................................
.... T�iQs/Acre ................•••--
....................
.................................................................
.................................................................
TIME
MOUR �NSOUNO
1100 170
1000 150
1100 � 60
WEEKDAV
57.5
.652:0
16.0
..............................
39.1
9,780.0
..............................
..............................
..............................
P M PEAK MOUR
NOI TOTAL
SATURCAr
55.9
.... . ..633.0
�..... 15.6
..............................
38.0
9,500.0
..............................
..............................
..............................
TIME
MOUR
BEGINS
1200
1200
1200
SUNDAY
�.�
453.0
...� ---• 11.2
... ...........................
27.2
6,800.0
..............................
..............................
..............................
..............................
2� MOUR
707A�
1,956
1,900
1,360
i
�
.�
T�iP GE�iE�ATlO� �T�.��'l �i�Twlll�tARY
�.��,��• ��i .����. ,���• .Denny's ....... ........ s��ey ...........R'�
. ... .... ....... ..... ...... .................... . .............
�,,;,,,�,,, .. 6936. Federal_Blvd.,.Lemon. Grove,. CA
.. ..............................
T>p� or tsc����� Restaurant
. ........... .............................................................................
Date ........9/22/78 — 9/28/78 •
........................................................................................
BACKGROU�VD DATA
.........65.... Parking.Spaces ..........................................................................................................._...................................._......................
3 800 $quare. Feet of_.Fioor. Area ................................................................................................................................................--
................... .. .....
.......1.4..4.. ..S�ax��9.Capa�iihr ....................................................................................................................................................................
......... 3�.....�mR�oy.s�s .......................................................................................................................................................................��-�--
............Q.6 .Acr�es ..................................................................................................................................................................................... ..
.................................................................................................................................................................................................:..................
............................. ......................................................................................................................... ............................................................. .
............ .................................................................................................................................. _................................................................ _....
TRAFFIC DATA
�
�
WEEKOAr
�
SATU:iDAv
su�oAv
�
�
TRIP RATIOS
M PEAK HOUR
INBOUND OUTBOUN� TOTAL
40
52
57
....Trips/Parkin9. SP.a� .........................
..,. Trips/1,000. Square. Feet
. .....................
--• � Tr ips/Seat ..........................................
....Tf�P.S/.Employee ................................
...Tr.iP.s/A�r.e .............................
�, .................................................................
`�
.................................................................
.... .............................................................
TIME
HOUR
0800
1100
0900
WEEKDAV
............. 21.2
.,_..,,._„ 363 :0
................9 :6........
..............3fi :3........
........2�300 :Q........
..............................
..............................
..............................
INBOUNO
43
50
94
C M VEAK HOUR
TBOUNDI TOTAL
SATUROAY
............. 24:1
412.0
..... 70 ;9
41.2
....... 2,606.7
........................ ..... .
.................... .........
24 MOUR ,
TIME TOTAL
MOU:1 �
lEGiNS
1200 1,380
1200 1,564 _
1900 1,554
SUNOAV
..23.9
......_._. 409.0
.............10.8
.............�:9-•.......
....... 2�590:�.........
..............................
.............................
�
0
��I�
� i
�
v
r
�
�
�
�
�
�
�
�,
�'
�
�
�
ff
�
0
RESTAURANTS COMPARISON
Sit� O�n�y's MeDorolds A�ony's
Fiah Grorto
Study Nwnb�► R-1 R-2 R-3
Baek9round Dsta
Psrkinp Sp�c�s 65 34 90
1,000 Squsn FNt of Floor Ar�s 3,8 3.0 9.0
SMtieg Cspacity 144 12Z 228
Employ�a 38 50 55
Aeres 0.6 0.2 t.t
Traffie Data
Av�rsg� Weekday Tnffic (AWDTI 1,380 1,956 1,254
Tr'�p Ratios
WNltd�y Trips pa . . .
Parking Spsc� 21.2 57.5 13.9
1,000 Squsn Feet (Building) 363.0 652.0 139.0
Se�t 9.6 16.0 5.5
Employae 36.3 39.1 228
A►cre 2,300.0 9,780.0 1,140.0
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