HomeMy WebLinkAbout20020672 Ver 3_Baker Presentation for Agency Meeting_7_18_12_20120904onroe onnec or ass
enc a e
LAND USE FORECAST
BACKGROUND AND
UNION COUNTY GROWTH
ANALYSIS
THIS PRESENTATION INCLUDES
INFORMATION AND FINDINGS THAT ARE
UNDER DEVELOPMENT AND MAY BE
SUBJECT TO CHANGE
Outline of Toda 's Discussion
y
_______________________..__.._.__________..__..____________________________..____.________._..__.._.________._..__.. ____________________________..___________________________________
��.
Discuss the recent appeals court decision
NCDOT responses
Provide detailed information on MUMPO's planning
process as it related to the Monroe Connector/Bypass
Discuss how this information was used in the ICE
analysis
Appropriateness of the ICE analysis
� The rowth of Union Count durin the "No Build"
g Y g
condition
Factors affecting growth trends in Union County
Next steps
A eals Court Decision
pp
� __
On May 3, 2012, the US Court of Appeals C4th
Circuit) stated that NCDOT had failed to disclose
critical assumptions underlying their decision to
build the Monroe Connector/Bypass:
In sum, although we need not and do not decide
whether NEPA permits theAgencies to use
MUMPO's data in this case, we do hold that by
doing so without disclosing the data's underlying
assumptions and by falsely responding to public
concerns, theAgencies failed to take the required
"`hard look' at environmental consequences."
A eals Court Decision
pp
They also stated that the MUMPO data from which
the quantitative ICE Build and No-Build proj ections
were developed contained the Connector in the
travel time to employment. They further stated that
this inclusion was not shared with the agencies and
cast doubt on the findings of the analysis.
• •
Bul vs Bul
._._..__..____________..__..____________..__.. � ________________________________________
Statement in RO D(pg C-11�
���socioeconomic forecasts�or t�.e No �ui�c�
Scenario did not include the Monroe Connector.
MUMPO confi'rmed our assumption regarding the
reasonableness of the 203o T�'�Zforecasts for use as
a No Build basis.
Statement is technically incorrect
Ri ht of Wa & Construction
g Y
_______..__.._.__________..____.__________..__.._.__________..__.._.________._..__.._.________._..__.._.__________..__.. ____________..____.__________..__.._.__________..__.._.__________.._
��
Right of way acquisition had begun on select parcels
but has been stopped
All design and construction activities suspended
NCTA requested that permits be suspended
Communit Meetin s
Y g
________..__..____________..__..____________..___ ____________________________________________
��
June 18 & 19, 2012
2 0 0 + attendees
Presentation on legal issues, right of way and
construction status
Movin Forward
g
� __
NCDOT is committed to full disclosure and
transparency and has already conducted two public
meetings to address concerns over the previous
process
NCDOT also wishes to share with the agencies all
relevant details on how the model was developed, the
appropriateness of the model, and how this
information shaped the analysis.
What are the rules for ICE Anal sis?
y
_.__________..__.._.__________..____.__________..__.._.________._..__.._.__________..__.. ____________..____.__________..__.._.__________..__.._.__________..__.._.________._..__.
��
NCDOT developed a set of approaches for ICE analysis
Developed in cooperation with
FHV�%1�
NCDENR
North Carolina State Attorney
General's Office
�'��_�� ��� �x� �11 1��.� � � �� �� �' ���� �� �� �
��
Guidance went into effect in 2 0 01.
�Guidance fv�r Assessing Ind�r+�ct and
Cum�alati�e Imipacts nf Transpartatic�r�
Projects in Narth Caralina
Volume r; Gui�lance Fvlicy Report
rrr•�,���.•�r ���,�:
'�trtc af \nrfh f'arulina
Depsirtmcnt oF'TranspuiKatianl!]epxrtmcnt of
I nv irunment nnd Natural licsuurecs
Italc;i�eh, \nelh {.'arnlina
I �ndcr Pix�jcc+t 1n.13E7777"_
f•xrp�+�r�f f3r.
Thc l.ouis 13cr„er f;rnur, Inc.
l��in�. Nnr�h Caruli�i:i
frsried 4`ovenrhrr_'fNll
k-
�
Guidance Recommendations on Data Use
_______..____.__________..__.._.__________..__.._.__________..__.._.________._..__.._.________._..__.._.__________..___ ____________.._______________.._______________..__.._.__________..__.._.________._..__.._.__________..
�
Offi'cial projections generated by state, regional or MPO
agencies should also be utilized whenever possible as a
source of information on future conditions. Page III-16
Whenever possible, forecasts developed for other purposes
by regional planning and transportation agencies should
be utilized. Page N-4
Reasoning is that Metropolitan Planning Organizations
(MPOs):
�;�,�: ������ed by the federal government to develop projections
are familiar with job and population trends and community goals
have years of experience in developing these proj ections
Guidance Recommendations on Data Use
_______..__.._.__________________________..__.._.________________________._..__.._.__________..__..____________..___ � ____________..____._____________.._.__________..__.._.__________..__..__________._..__.._.__________..
Trend extrapolation techniques are limited in the application to indirect/cumulatiUe
effects analysis, because the techniques are only useful in creating base case or no-
action forecasts - extrapolation is not helpful in eUaluating project alternatiUes
that will by definition change conditions on which historical trends are
based. Also, this tu�e o f forecasting technique is unnecessaru when acce�ted
�forecasts have been deuelo�ed alreadu bu local or reqional a� eq nciesofor the stud�
area. Page N-9
Example 2— Detailed Analysis Techniques: ... Develop a general No Action Scenario
for the study area based on 2o-year growth projections furnished by the local
Metropolitan Planning Organization (MPO). Page N-31
The guidance says the MPO forecasts should be used in the analysis.
How are they used?
I���titi <<��:� ��°u�����io� L��c�l for future population and einployment at the sinall area level.
Provide guidance on how much growth will occur and where it will occur.
MPO Forecasts can be used two wa s:
y
•
MPO Forecasts
__ Represent
No Build
Alternative
Guidance from
planners and
analysis create a
(higher) Build
Forecast
.
_
.
�_ ___________________________________________
,
;
,
MPO Forecasts
---' Represent Build
; Alternative �
;
�
;
� �� Guidance from
,
, �
� � planners and
, _
� ----=
` analysis create a
� (lesser) No Build `
Forecast
MPO Forecasts can be used two wa s:
y
•
Alternative �
�
3
i. ... . . . . . . .. . . . . . . ...,.a_.�♦
° ' Appropriate when research '
;
; indicates the regional land
� ----, use impacts of the
proj ect are not
�F represented by the forecasts
�
..
.
_ ___________________________________________
MPO Forecasts
Represent Build
Alternative
Appropriate when research �
indicates the regional land
use impacts of the project
are represented in the
forecasts ;
Basis for Choice A vs Choice B
_______..____.__________..__.._.__________..__.._.________._..__.._.__________..__.._.__________..__..____________..__.. ____________..____.__________..__.._.__________..__..____________..__.._
��
Discuss with local planners what will future
development look like with and without the proj ect
Identify constraints to development that would affect
growth patterns regardless of the proj ect
Identify related actions (such as development of
water and sewer lines) that would affect
development densities with and without the proj ect
� Based on the above process, we determine if the
estimated development is a better match for the
build, or the no build option.
Use of the MUMPO Data in the ICE
_______..__.._.__________..__.._.__________..__.._.__________..__.._.________._..__.._.________._..__.._.__________..___ � ____________..__.._.__________..__.._.__________..__.._.__________..__.._.________._.._.
TAZ level socioeconomic data from MUMPO served
as control totals for developing the ICE No Build
land use scenario.
Based on consultations with local planners and use
of the Hartgen method, additional development was
added to create a Build land use scenario.
te s ta en or t e Monroe
p
onnector B ass I E
Yp
July 18, 2012
Mecklenburg - Union
Metropolitan Planning
Organization (MUMPO)
MUMPO, in cooperation with the State,
developed its current transportation
plan from 200� to 2005. The purpose
of the plan was to: i) Assist governing
bodies and official agencies in
determining courses of action and in
formulating attainable capital
improvement programs in anticipation
of community needs; and, 2) Guide
private individuals and groups in
planning their decisions which can be
important factors in the pattern of
future development and redevelopment
of the area.
+.�'ri i+7
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lndlan Trall on,ry��� r,h.u�,y � r F�e+ f '� .�,. �
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Stallings ���
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iJnionvill�
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Weddington
INP.SIP.yCllri�7P.I �._''
�IIl�r3LP. �_
ML1MP0 baund�ry witi7 unincorporated area �1 ��
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'�RECAS
Population
oymen
�v Tra�
1. Trip Generation
• How many trips and for what
purpose?
• De�ines origins and destinations
3. Mode Split
• Given trip origins and destinations,
how will travelers get around via the
available travel modes?
July
TRANSP'ORTATION
NETWORK:
Locations an+
2. Trip Distribution
• Which origins and destinations will
be linked together?
4. Trip Assignment
• How will the trips be made across the
transportation network?
'�RECAS
Population
oymen
�v Tra�
NETWORK:
Locations and
of Roads
1�ransit
parate inputs to the model. Th
�ods the MPO uses to develo��
Jul
�
. •
'�'�� � � A� � � �r�� � ��� ��
�
T�'����n �,�n���S1� ���n�� ��r�►� ������ �����. ��,�,��%
How were the MUMPO land use forecasts developed?
�
203o TAZ forecasts
Forecastin Roles
g
�
• Proj ects Regional Population &
Employment totals
• Sets county totals
• Distributes growth developed in the top-down model at the
county-level based on Traffic Area Zones (TAZs)
• DOES NOT include adjustments to regional growth patterns
other than within counties
• MUMPO process only applied to central and western Union
County
• Local planners refine the in-county land use
allocation based on adopted plans and local
land use expertise, basically this serves as a
reality check on the anticipated growth
Forecastin Factors
g
�
•Regional Forecast
•County Level Forecast (Allocated using variables statistically tested
against 228 metropolitan counties in 2� regions)
•Past economic and demographic trends
•Economic and demographic conditions (as of 2003)
•Influence of income on growth patterns
• Proximity
•Land availability
•Past land use and infrastructure policies
•Developable Residential Land
•Redevelopable Residential Land
•Recent Population Change
•Travel Time to Employment Centers (note
includes the Monroe Connector)
•Water Availability
•Sewer Availability
•Expert Panel (High Growth Areas)*
•Growth Policy Factor*
* Union County Factors
this is the only factor that
Accessibilit Considerations
y
•
• Large scale transportation projects was a factor omitted from the
top down analysis (From Hammer Report, p. 14)
• Does include the regional "build" network including the Monroe
Connector, but only in travel time to employment calculations for
future year(s).
• Considers travel time from each TAZ to the NEAREST
employment center, NOT regional employment centers
• Reflects local advisors' expectations (in 2003-2004) of whether
new roads would be built
• Reflects the assumptions in adopted land use plans regarding the
anticipated road network
How does this affect the ICE Stud
y
•
• This component, which includes the estimation of total job and population
growth for each county, DID NOT include the Monroe Connector
• Includes the regional "build" network (with Monroe Connector) for the travel
time component only, and only for central and western Union County
• The way travel time to employment was calculated does not ca�ture regional
travel time im�acts, it only captures impacts within Union County to the
nearest employment center also within Union County
Adopted land use plans at the time this analysis was done did not reflect
impacts of the Monroe Connector
Members of the Expert Panel stated during the interview process for the ICE
study that the Monroe Connector WAS NOT included in their expectations
What do the Forecasts Re resent?
p
_______________________..__.._.________________________________________._..__.._.________._..__..________________ ____________..____.__________.._______________..__.._.__________..__.._.________.
�
Based on extensive interviews, adopted land use
plans in 2oo3-q. did not assume the MC
The MUMPO forecast development process did not
consider MC impact on regional land use
distribution (across counties)
The impact of the MC in Union County is only
considered in terms of travel time to nearest Union
County employment centers.
. � �
� -
`� ���� �:��� �: �1�� ��: t�����: J��.�LJ�'i�YY IL� �� t�he MC in t e orecasts are
limited and may actually be zero or close thereto (based on
discussions with MUMPO staff� AND were not considered in
eastern Union Countv.
Conclusion
Based on this evaluation it was concluded that the
MUMPO forecasts most closely represented a No-
Build Condition
Does MUMPO a ree with our conclusion?
g
_________.._______________.._______________..__.._.________._..__..____________..__..________________ � ____________..__.._.__________..__.._._____________.._.__________..__.._.________._..__.._.__________...
NCTA and NCDOT met with MUMPO on June 19tn.
They agreed with the conclusion that use of their
data for the No-Build Option was appropriate.
, s .
�, _-, � �_ ��
��;�;� �x�+� �.�Y� Y"�b�i�i�c�i L�IY��.��� +�� �.� S +C�i�� �;C��.l�� �� �ii� i,�lc� �il(�il� ��1
employment from the top-down process
Because inclusion of the project in the travel time to
employment factor had minimal impact on that factor.
Because the planners and the Expert Panel members involved
in the bottom up process did not anticipate the MC in the long
term forecasts �
Minutes for the meeting will be included in
administrative record.
�rel�m�nary �esults o�t ��YraveY �Vi�e to �.mp�oyment
Factor Reexamination
� --
MUMPO, NCDOT and other modelers worked
together to reexamine the Travel Time to
Employment Factor
��s�ss the differences with and without the Monroe Connector
in the roadvvay network
�� Removal of Bypass results in minor changes to travel
times and composite scores
�
�� �c��� ���� �"�� Inc����� ����v�� ti�� �� ����re� �� ��r� � ���r��e
1�. T1�Zs see 1% or mor� chan�e in com�osite score
Average Composite Score change is o.21%
Maximum Composite Score change is 3• 9�
Still assessing the overall implications to ICE Report
Undeveloped
Land Identified
July i8, 2012
Density
categorization of
undeveloped
land based on
recent plans
Density
X
Undeveloped
Land
A
Total Build Out
Capacity
TAZ Forecast
Total Build
Out Capacity
% of Build Out
Total
Undeveloped
Land
X
% of Build Out
Acres of New
Deuelopment
New
Development
Added to
Existing
Development =
No Build Land
Use Scenario
Review of
newer plans
that
anticipate
construction
of the MC
July i8, 2oi2
Discussions
with planners
and local
off'icials
regarding
development
potential with
the MC
Analysis of
Regional
Accessibility
Changes
(Travel Time
Savings)
Analysis of
Interchange
Areas using
Hartgen
Method ('I�pe
of road,
Utility
Availability)
Combination
of these yields
the indirect
development
Indirect
Development
+ No Build
Land Use =
Build Land
Use Scenario
What do these outcomes mean?
_______..__.._.__________..__.._.__________..__.._.__________..__.._.________._..__.._.________._..__..____________..__.. � ____________________________..__.._.__________..__.._.__________..__.._.___
Union County has been, is, and will continue to grow
rapidly without the Monroe Connector
Future growth levels are not highly dependent on the
Monroe Connector
The timing and distribution of future growth IS
affected by the Monroe Connector, as shown in our
Build Alternative results
•
Unlon ount rowt Factors
y
July 18, 2012
What ARE the forecasts?
��
Union County:
z000*
2005*
2010*
2030**
* US Census Bureau
*� MUMPO Forecast
123,677
162,929
201,292
337,317
4.7%
6.4%
4.7%
See below
1990 to 2000
2000 to 2005
2005 to 2010
Difference between 2010 population and 2030
forecast has a 3.q.% average annual growth rate
Union Count and Growth
y
____..__..____________..__.._.________._..__.._.__________..__.. � ____________..__.._.__________..__.._.________._..__.._.______
Analyzed regional growth trends and underlying
reasons for growth
._. �� ;� �� .� � �; � .: �� a', J �°: _ .1 � � ' � y;1 '�.� Iu. ��_
� _ �� �
Mecklenburg,
and York
Union, Cabarrus, Rowan, Iredell, Lincoln, Gaston
�.,
� S-
y�, � � Sb ! " . _ j \ ' .A '4 $
;� , ' i� � �. � � �; � i. �.�, �� �,��� �r i � u �'��� �� � .��. �Ze
Historical growth trends
Trends relative to MUMPO forecasts
Population density
Median household income
Housing differences (size, cost)
School quality
Commuting time
Re ional Po ulation Growth
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_____________________________________________________________ _____________________________________________________________
�
Figure 1: Population Change in the Eight-County Region
Avery
Cald w�ll
MCDo weJl
Rutherford
�o�� Caralina
South Carolina
Burke
r`-i
Cleaeland
Alexander
;
�..r--` _
Yadkin
Forsyth
Davie
��-``-. ' pavldson
/
= F
N
�
Randolph I
Stanly Mpntgomery I
York �%' Uniara Anson
i
i
---------------- --------------------------
Lancaster
Chester Chesterfield
0 25 50
Miles
Re ional Growth Rates Avera e Annual)
�
g g
�
��
Union Count Po ulation Data
Y p
�
By 2 0 0 8, annual Union County growth rates far
exceeded those estimated by MUMPO in their
population forecasts with the MC neither built nor
under construction
According to US Census Data, Union County had
the greatest percentage population increase in
North Carolina from 2 0 0 o to 2 010 .
Why is there rapid growt� in Union County in t�e absence o�
the Monroe Connector?
�oo
600
500
400
300
200
100
O
Po ulation Densit er S Mi)
�
p y p q
•
.1�� ���
�� ��.�
��
O�
'`�
o Population per Square Mile (2000) �' Population per Square Mile (20�0)
Mecklenburg: 1,32�.6 (2000); 1,755.6 (2010)
��o,000
�60,000
�50,000
�40,000
$30,000
�20,000
�10,000
�O
Median Household Income
�
,,�o� „�,o.�
�� `�"�
G�
�~~ �fi ���
ti"�� '�.�G e,"��
v G
��'
o�
�
o Median Household Income (2000) � Median Household Income (2010)
% Owner-
74.i% 68.i% 74.i% 74.9%
occupied
% Renter-
occupied 25•9� 31•9� 25•9� 25•1�
Median Home
Value ($) �2o3,2c; $i�2,2o0 $i24,5o0 $i68,2o0 $i56,�o0
% Single Family
Detached �6.6 % 75. o% 73. o%
Housing
Median Number
of Rooms per . 5•7 5•3 5•7
Unit
Source: American Community Survey 20o8-2oiq 3-Year Estimates, Table DPo4 (Selected Housing Characteristics)
67.9 %
5.6
6i.9% 69.� %
38.i% 30.3%
']2.1%
27.9 %
$lgo,9oo $i28,�o0 $164,�00
60.3% 67.5%
5•6 5•4
68.1%
5•7
School ualit SAT Scores
Q
y
C )
•
Cabarrus County 65•3 522 497
SC�lOO1S
Gaston County 5g•3 495 4go
Schools
Iredell-Statesville 60.4 524 5O2
Schools
Lincoln County 5g•7 513 47g
Schools
Charlotte- 68.5 507 495
Mecklenburg Schools
�.ya� _
Rowan-Salisbury 51•9 495 474
SC�lOO1S
York 1 42.0 47g 457
York 2- Clover 59•0 493 486
York 3- Rock Hill 54.0 482 470
York 4- Fort Mill �2.0 535 529
Sources: Narth Carolina State Board of Education, Accountability Services, Division SAT Report 2011;
South Carolina Department of Education, Public School District Distribution Mean SAT Scares for 2ou
4g3
455
480
456
480
453
432
460
455
505
1019
975
io26
991
1002
969
935
979
952
io64
1502
i43 0
i5o6
1447
14g2
1422
136�
1439
140�
1569
School ualit (Graduation Rates
)
Q
y
•
School System Graduation Rate (%
Cabarrus County Schools
Gaston County Schools
Iredell-Statesville Schools
Lincoln County Schools
Charlotte-Mecklenburg Schools
Rowan-Salisbury Schools
York i
York 2 - Clover
York 3 - Rock Hill
York 4 - Fort Mill
84.1
75•4
85.1
81.6
73•5
76•9
78•3
77•3
73•5
91.2
Sources: North Carolina State Board of Education,
Accountability Services Division, 4-Year Cohort Graduation Rates;
South Carolina Department of Education,
Annual School District Report Cards
., . "rr� ' �� — "
Commute Times
� � '��
Mean Travel Time to Difference from Mean Travel Time to Difference from
Work Regional Average Work Regional Average
I Cabarrus County 26.0 3.6% 2�.0 3•4�
Gaston County
Iredell County
Lincoln County
� Mecklenburg County
Rowan County
York County
Charlotte MSA
25.0
24.2
24.�
23.2
24.0
25.1
-0.4%
-3.6%
-i.6%
-�.6 %
-4•4�
Notes: 2oio Travel Time data not available for Lincoln County.
Sources: 200o Census Summary File 3, American Community Survey 20o8-2oio 3-Year Estimates Table So8o2
24.6
24•5
27.1
26.0
23•3
2'].2
26.1
-5.�%
-6.1%
3•8�
-0.4%
-10.7%
4.2 %
Conclusions
In the absence of the Monroe Connector, growth in
Union County has exceeded that of other counties in the
area
Factors driving growth in Union County appear to be
available land, high median income, and the area school
system
Commuting time is higher for residents of Union County
� than for other counties in the area
a9 �! � �� �� �f f I I fµ _. ��� , _, �_�, �� v � �. .�. 11 � �� _ � _5 � �1�^a� �.,�� _ � ��I,iQ � N/ r � �V� j��� �° x �� f _�� ,
The practical "No Build" since 2 0 01 demonstrates that
rapid growth in Union County will likely continue,
regardless of whether the Monroe Connector is built.
Conclusions
For this proj ect, the regional forecasts best represent the
No Build scenario
l
�1 �U 1�T�� co�ntro tota s vvere usec� an �oca inpu�� ze�pe c�e�termine
actual locations within TAZs where development would occur
without the �roj ect.
Build Alternative forecasts were developed showing the
additional growth and land use distribution impacts of
the proj ect
�aseci in some areas on more recent land use or economic
development plans that do anticipate the road
Based on areas affected by combination of available water and sewer
to support higher densities AND improved regional accessibility
from the Monroe Connector
Next Ste s
p
� __
Working with local modelers to calculate exact affect
of Travel Time to Employment with and without the
MC.
�esu�ts wil� c�etermine �eve� o�� ac�j us-tment, i�� any, needec� to
the No Build land use for the ICE,
Review other possible new information to determine
if it affects current assumptions.
New information may requ���s�; ��justments to ICE or other
supporting documents.
Next Ste s
p
Continued agency participation and feedback
_; , .
, ,�_ �
����;��� �c� ' a� � �r������������ ����i q���������
Future meetings and process
C'�antinLl� to m��-� CE� obli�a-�aons �lr�c��r �.c� �FR 1��3•3
Additional public outreach and communication will
also be part of the steps to address the court's
concerns
Determine appropriate course of action to update
�TC �C�TC T�' 4 nt�ori �r�� ro�n� � Y1��AT 1?(lTl