Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
(formerly Parsons Brinckerhoff)
Over the Edge
Forecasting beyond the
Boundaries of the Regional Model
2017 ITE Western District Annual Meeting
Made Possible Using Data Courtesy of NDOT
(formerly Parsons Brinckerhoff)2
• The difficulties with
forecasting at or beyond a
model’s boundaries
• Example: Garnet
Interchange
• Conclusions & Suggested
Approaches
• Questions & Answers
Topics Covered
The Garnet Interchange Today
(formerly Parsons Brinckerhoff)3
• Models tend to be most accurate in
the regional center (most detailed
networks, most traffic counts,
smallest TAZs, etc.)
• But most development occurs
towards the urban fringe. Mis-match
between the forecasting needs and
the forecasting tool
• Problem not unique to Las Vegas;
happens everywhere
The Problems with Life on the Edge
Population Growth in RTC Model, 2013-to-2035
(formerly Parsons Brinckerhoff)4
• The problems are even worse when going beyond the
boundaries of the modeled area:
• Developers land bank large areas without detailed plans
• Timeline dependent on market conditions; hard to predict
• Through traffic is a high percentage of total traffic, but it is
dependent on global factors you may not know much
about
The Problems with Life on the Edge
But work must go forward, even in the face of uncertainty
(formerly Parsons Brinckerhoff)5
Example: Garnet Interchange
• Located at the edge of the RTC
model region (20 miles from
downtown)
• Being considered for a major
upgrade in support of development
at Apex Industrial Park
• Traffic forecasts needed as input
for civil design
GarnetInterchange
Apex Industrial
Park
(formerly Parsons Brinckerhoff)6
Garnet Interchange: Traffic Flows
• Through Traffic
• Outlying Communities
• Apex Traffic
• All handled somewhat
abstractly in the
regional model
Utah
Central Nevada
Mesquite
Coyote Springs
Apex Industrial Park
MoapaGarnet
Interchange
(formerly Parsons Brinckerhoff)7
The Great Recession, a Game-Changer
Change in U.S. Employment duringPost WWII Recessions
• The Great Recession was deeper and much, much longer than any previous post-WWII recessions
• Structural changes are taking place in the U.S. economy. Some of these changes are permanent. Things will not “go back to normal”; there is a new normal
• This will have long-lasting effects on development. Growth assumptions made before the recession must be re-examined and revised
(formerly Parsons Brinckerhoff)8
Forecasting Through Traffic on I-15
• Pre-recession forecasts predicted rapid growth
• Instead, traffic declined by 20%
• The post-recession trendlinemay also be misleading since it includes a major one-off event
• Shows the need to base the forecast on changes in the underlying demand (GRP)
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Comparison of Trend Forecasts (Pre-Recession Study versus Recent Counts)
Recent Traffic Counts Current Fitted Formula 2008 Fitted Formula Pre-Recession Traffic Counts
(formerly Parsons Brinckerhoff)9
Technique #1: Use Growth of Underlying
Demand Forecasting Through Traffic on I-15
Regression analysis found that 87% of the variation in I-15 traffic could be explained by
changes in Las Vegas GRP
Derived a fitted curve formula to match the data
(formerly Parsons Brinckerhoff)10
Forecasting Through Traffic on I-15
Lower than pre-recession forecasts, but consistent with recent trends
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
Through Traffic on I-15 North of Garnet IC
Pre-Recession Forecast Through Traffic (Forecast) Through Traffic (Actual)
Used the forecasts for future GRP from Population Forecasts: Long-Term Projections for Clark County, Nevada 2015-2050 to forecast the traffic going forward
(formerly Parsons Brinckerhoff)11
Technique #2: Trip-Gen Rate * Population
Forecasting Traffic from Outlying Communities
• Checked various variable to see how closely they track actual traffic between towns & Las Vegas; None worked well
• Computed the population growth rate based on long-term average 0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
20
10
20
12
20
14
20
16
20
18
20
20
20
22
20
24
20
26
20
28
20
30
20
32
20
34
Per
son
s
Population of Mesquite
Pre-Recession High Range
Pre-Recession Low Range
Mesquite Actual
Mesquite Forecast (Current)
• Computed the actual per-capita trip-gen rate for trips to/from Las Vegas (from ramp counts). Multiplied this by future population to estimate future trips
(formerly Parsons Brinckerhoff)12
Forecasting Traffic from Coyote Springs
• Land banking for possible new town sometime in the future
• Local jobs, % retirees, etc. are unknowable
• Lacking better data, but distance & market similar to Mesquite, so assumed same rate of trip-making to Las Vegas as Mesquite
• Multiplied Mesquite trip-gen rate by population forecast for Coyote Springs to arrive at forecast. Forecast assumed a delayed build-out for Coyote Springs
0
20,000
40,000
60,000
80,000
100,000
120,000
20
00
20
02
20
04
20
06
20
08
20
10
20
12
20
14
20
16
20
18
20
20
20
22
20
24
20
26
20
28
20
30
20
32
20
34
Po
pu
lati
on
of
Co
yote
Sp
rin
gs
CS Master Traffic Study, 2002
Pre-Recession Study, 2010
Current Study
(formerly Parsons Brinckerhoff)13
Technique #3: Site Details
Apex Industrial Park
• Location within site determines the traffic using Garnet Interchange
• Type of jobs, density within each site, sequence of development, etc. are unknown
• Faraday Future developing a factory and bringing in utilities
• Utilities installed to serve one site could spur developments on neighboring sites that could connect up
Traffic does not pass through Garnet
Interchange
Traffic doespass through
GarnetInterchange
GarnetInterchange
(formerly Parsons Brinckerhoff)14
Forecasting Traffic for Apex Industrial Park
• Forecasts from Population Forecasts: Long-Term Projections for Clark County, Nevada 2015-2050 suggest anemic growth in transportation and warehousing jobs and actual reductions in manufacturing and utilities jobs over the study period
• Suggests that Apex is unlikely to build out during the study period (at least not with manufacturing jobs)
• Market trends suggest that warehousing may be a good fit for this site
• If significant employment develops, then some retail is likely to follow
(formerly Parsons Brinckerhoff)15
Forecasting Traffic for
Apex Industrial Park
• Assumed that Faraday Future would create 4,500 industrial jobs as planned
• Assumed that blue triangle would take advantage of utilities to build warehousing (719 jobs) and retail (100 jobs)
• Trip-generation rates taken from ITE
• Concentrating development off US-93 is the worse case for Garnet Interchange design purposes
Site of Faraday Future
GarnetInterchange
(formerly Parsons Brinckerhoff)16
Putting it All Together – Traffic at Garnet IC
• After the growth of each component of traffic component had been forecast individually, they were added together to produce the forecasts used for design purposes
• Forecasts were considerably lower than a pre-recession study, but seem more reasonable in light of current traffic and growth expectations
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
Dai
ly V
eh
icle
s o
n I
-15
No
rth
of
Gar
ne
t IC
Pre-Recession Forecast
Traffic on I-15 North of Garnet Interchange
Actual Forecasts
Assumed effect of internalization
(formerly Parsons Brinckerhoff)17
Conclusions & Suggested Approaches
• When forecasting for developments at or near the edge, you are forced to rely on data sources other than the regional model.
• Depending on the situation and available data, more than one technique may be needed
• Large disruptive events (e.g. Great Recession) break previous patterns and force a re-evaluation of previous assumptions. May need to let go of earlier assumptions.
• To the extent possible, base your forecasts on changes in the underlying demand (GRP & population) rather than on plans. Remember: Approved plans show what is permissible, but the markets determine what will actually happen.
(formerly Parsons Brinckerhoff)18
Questions & Answers
Don Hubbard, TE, AICP
Senior Technical Principal in Transportation Planning/ModelingWSP, Sacramento(916) 567-2555