2016 Transportation
Conformity
Appendix 12.18:
MoSERS Methodology and
Calculation Descriptions
Appendices
DRAFT
3.0 Improved Public Transit -- Light Rail
3.1 System/Service Expansion
Strategy: Increase ridership by providing new rail system services and/or
expanding bus
service.
of transit
system or service can include the addition
Description: Expansion
of rail services through increased frequency or route extension.
Bus or paratransit services can be expanded with new vehicles
and/or route extensions.
Application: Large cities or communities with enough population density to
support reasonably frequent transit service.
EFTV: Speed-based running exhaust emission factor for transit vehicle (NOx or
FT, SOV: Percentage of people using a transit vehicle that previously were vehicle
drivers (decimal)
Source
MOVES2014
DART
MOSERS
Project Specific
NTR: New transit ridership (total ridership)
MOVES2014
TEFAUTO: Auto trip-end emission factor (NOx or VOC) (grams/trip)
TEFTV: Transit vehicle trip-end emission factor (NOx or VOC) (grams/trip) (DART is a DART
zero-emissions electric train)
Equation:
A = VTR * TEFAUTO
B = VMTR * EFB
C = VTTV * TEFTV
D = VMTTV * EFTV
NOX
VOC
EFB:
0.27
0.09
EFTV:
FT, SOV:
0.00
0.40
0.00
0.40
NTR:
17,490.00
17,490.00
TEFAUTO:
TEFTV:
0.67
0.00
0.80
0.00
TLW:
TLTV:
VTTV:
VTR:
VMTTV:
VMTR:
Conversion
Factor:
8.00
0.00
0.00
6,996.00
0.00
55,968.00
8.00
0.00
0.00
6,996.00
0.00
55,968.00
453.60
453.60
A:
B:
C:
D:
NOX
4,687.32
15,111.36
0.00
0.00
VOC
5,596.80
5,037.12
0.00
0.00
VTR:
VMTR:
VMTTV/BUS:
6,996.00
55,968.00
0.00
6,996.00
55,968.00
0.00
Daily Emission Reduction (lbs/day) =
Daily Emission Reduction (tons/day) =
NOX
43.65
0.02
VOC
23.44
0.01
Average auto trip length (to work) (miles)
Route Length of the Transit Vehicle (miles)
Daily vehicle trips by transit vehicle
Reduction in number of daily automobile vehicle trips
Vehicle miles traveled by transit vehicle
Reduction in daily automobile VMT
Convert grams per mile of emissions to pounds per mile of emissions
COG Default
DART
DART
Reduction in auto start emissions from trips reduced
Reduction in auto running exhaust emissions from VMT reductions
Increase in emissions from additional train starts
Increase in emissions from additional train running exhaust emissions
Where,
VTR = NTR * FT, SOV Number of new transit riders multiplied by the percentage of riders shifting
VMTR = VTR * TLW Number of vehicle trips reduced multiplied by the average auto trip length
VMTTV/BUS = VTTV * TLTV Number of vehicle trips reduced multiplied by the average transit route length.
Results:
Daily Emission Reduction = (A + B – C – D) / Conversion Factor
Project
Description:
Project Code:
Variables:
EFB: Speed-based running exhaust emission factor for affected roadway before
implementation (NOx or VOC) (grams/mile) (assume 34 mph, Light Duty
Vehicles in all roadway types)
TLW:
TLTV:
VTTV:
VTR:
VMTTV/BUS:
VMTR:
Conversion Factor:
Project Year: 2017
Source: The Texas Guide to Accepted Mobile Source Emission Reduction Strategies, Texas Transportation Institute, August 2007
Part C and Part D are both equal to zero because the DART system utilizes electric light rail, which has zero-emission train equipment. Local assumptions are calculated
from the Dallas-Fort Worth Regional Travel Model and professional judgment of the Dallas Area Rapid Transit and North Central Texas Council of Governments staff.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
Green - Emission Factors
3.0 Transit-DART
6/17/2016
DRAFT
5.0 Employer-Based Transportation Management Programs
5.1 Transit/Rideshare Services - Vanpools
Strategy: Reduction of vehicle trips and emissions through increased used of transit,
carpooling, or vanpooling.
Project Year: 2017
Description: Employers or groups of employers in activity centers provide transportation service
to and from the work site to transit facilities and homes. The services can include
subscription buses, midday and park-and-ride shuttles, and Guaranteed Ride Home
programs.
Project
Description:
Application: Large companies or groups of cooperating businesses.
Variables:
EFA: Speed-based running exhaust emission factor after implementation (NOx or VOC)
(grams/mile) (assume 34 mph, Light Duty Vehicle on all roadway types)
Project Code:
Source
VOC
NOX
MOVES2014
EFA:
0.27
0.09
EFB: Speed-based running exhaust emission factor before implementation (NOx or
VOC) (grams/mile) (assume 34 mph, Light Duty Vehicle on all roadway types)
MOVES2014
EFB:
0.27
0.09
NVA: Number of vehicles after implementation (equal to number of
vanpools)
Project Specific
NVA:
180.00
180.00
COG Default
NVA:
9.00
9.00
NVB:
1,620.00
1,620.00
NVOR: Vehicle Occupancy
NVB: Number of vehicles before implementation (equal to vanpool
occupancy * number of vanpools)
TEFAUTO: Auto trip-end emission factor (NOx or VOC) (grams/trip)
MOVES2014
TEFAUTO:
0.67
0.80
TLA: Average auto trip length after implementation (miles)
COG Default
TLA:
85.00
85.00
TLB: Average auto trip length before implementation (miles)
COG Default
VTA: Vehicle trips after implementation
VTB: Vehicle trips before implementation
TLB:
35.00
35.00
VTA:
360.00
360.00
VTB:
3,240.00
3,240.00
Conversion
Factor:
453.60
453.60
A:
NOX
30,618.00
VOC
10,206.00
B:
8,262.00
2,754.00
C:
1,929.60
2,304.00
VTA = NVA * 2 trips/day Number of vehicles before strategy implementation multiplied by two trips
per day (round trip).
VTA:
360.00
360.00
VTB = NVB * 2 trips/day Number of vehicles after strategy implementation multiplied by two trips
per day (round trip).
VTB:
3,240.00
3,240.00
Conversion
Factor: Convert grams per mile of emissions to pounds per mile of emissions
Equation:
A = VTB * TLB * EFB Auto running exhaust emissions before strategy implementation
B = VTA * TLA * EFA Auto running exhaust emissions after strategy implementation
C = (VTB - VTA) * TEFAUTO Reduction in start exhaust emissions from reduction in vehicle trips
to/from employment center
Results:
Daily Emission Reduction = [(A - B) + C] / Conversion Factor
NOX
VOC
Daily Emission Reduction
(lbs/day) =
53.54
21.51
Daily Emission Reduction
(tons/day) =
0.03
0.01
Source: The Texas Guide to Accepted Mobile Source Emission Reduction Strategies, Texas Transportation Institute, August 2007
Local assumptions for vanpool projects are calculated from them monthly performance measures reported by the Dallas Area Rapid Transit and the Fort Worth Transit
Authority for fiscal years 2004 to 2010. This analysis also incorporates an assumption of equal emission factors, trips, and trip length before and after implementation of
the vanpool programs.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
Green - Emission Factors
5.1 Vanpool-Dart
6/17/2016
DRAFT
7.0 Traffic Flow Improvements -- TTI Equation
7.1 Traffic Signalization by Corridor
Strategy: Traffic signalization projects can measurably reduce CO and
HC emissions by decreasing vehicular stops and idling, which
would in turn reduce travel times and traffic delays.
Project Year: 2017
Description Traffic signalization increases the efficiency of traffic flow at
intersections by improving interconnection and coordination of
signals, leading to reductions in travel times, delays, and stopand-go driving. Traffic signalization can be as simple as
updating the equipment and/or software or improving the timing
plan. Because signal improvements reduce travel times and
stop-and-go driving conditions, they can measurably reduce CO
and HC emissions as well as reducing fuel consumption. (See
MoSERS 2007, page B.7.5-7.6 for more information.)
Project
Description:
Application: Major arterials or high capacity roadways with uncoordinated
traffic signals.
Variables:
Project Code:
Source
NOx
VOC
EFAP: Speed-based running exhaust emission factor during peak
hours after implementation (NOx or VOC) (grams/mile)
(equal to the emission factor at 9 mph for all vehicle types
on arterials)
MOVES 2014
EFA:
0.40
0.15
EFBP: Speed-based running exhaust emission factor during peak
hours before implementation (NOx or VOC) (grams/mile)
(equal to the emission factor at 5 mph for all vehicle types
on arterials)
MOVES 2014
EFB:
0.59
0.24
EFA,OP: Speed-based running exhaust emission factor during offpeak hours after implementation (NOx or VOC)
(grams/mile) (COG assumption: at 9 mph)
MOVES 2014
EFA,OP:
0.40
0.15
EFB,OP: Speed-based running exhaust emission factor during offpeak hours before implementation (NOx or VOC)
(grams/mile) (COG assumption: at 5 mph)
MOVES 2014
EFB,OP:
0.59
0.24
L: Length of roadway affected by signalization project (miles)
(for a corridor, use the length of the entire corridor being
retimed in progression, from limit A to limit B
Project Specific
L:
1.78
1.78
V: Bi-directional arterial volume for analysis period (average
corridor volume)
Project Specific
V:
30,558.00
30,558.00
Project Specific
VD,P:
14,056.68
14,056.68
Project Specific
VD,OP:
16,501.32
16,501.32
Conversion
Factor:
453.60
453.60
VD,P: Average daily volume during the peak period
VD,OP: Average daily volume during the off-peak period
Conversion Factor: Convert grams per mile to pounds per mile of emissions
Equation:
VOC
NOx
A= VD,P*(EFB,P - EFA,P)*L Change in running exhaust emissions from improved traffic flow
during the peak period
A:
4,753.97
2,251.88
B= VD,OP*(EFB,OP - EFA,OP)*L Change in running exhaust emissions from improved traffic flow
during the off-peak period
B:
5,580.75
2,643.51
NOx
22.78
VOC
10.79
0.01
0.01
Results:
Daily Emission Reduction = (A + B)/Conversion Factor
Daily Emission Reduction
(lbs/day) =
Daily Emission Reduction
(tons/day) =
Source: The Texas Guide to Accepted Mobile Source Emission Reduction, August 2007
Before speeds and after speeds are assumed to be the same during peak and off-peak hours. Local variable calculations utilize data from the Highway Capacity Manual, and the DallasFort Worth Travel Demand Model.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Green- Emission Factors
7.1 TSI - Corridor
6/17/2016
DRAFT
7.0 Traffic Flow Improvements -- TTI Equation
7.2 Traffic Operations: Intersection Improvements
Strategy: Reduce congestion in corridors and intersections, improving
traffic speeds and reducing idling times, leading to lower
emission and improved traffic system efficiency.
Project Year: 2017
Description: Traffic operation improvements, similar to traffic signalization
improvements primary focus on reducing congestion on local
and arterial streets by improving the systems efficiency.
Generally, each action will improve traffic flow and safety.
Many roadway changes require only signage and pavement
marking changes with little new construction and are relatively
quick to implement.
Project
Description:
Application: Major arterials or high capacity roadways.
Variables:
EFI': Idling emission factor (NOx or VOC) (grams/mile) (equal to
the emission factor at 2.5 mph, all vehicles types on
arterials)
Project Code:
Source
MOVES2014
EFI: Idling emission factor (NOx or VOC) (grams/hour) (equal to
the emission factor at 2.5 mph, multiplied by 2.5 miles to get
units of grams/hour)
EFI':
1.03
VOC
0.45
EFI:
2.58
1.13
31.00
31.00
NOX
DB: Time delay before project implementation (seconds)
COG Default
DB:
DA: Time delay after project implementation (seconds)
COG Default
DA:
21.00
21.00
V:
60,155.00
60,155.00
V: Bi-directional arterial volume for analysis period
P,HR Peak Hour Ration
Project
Specific
COG Default
VD,P: Average daily volume during the peak period
VD,OP: Average daily volume during the off-peak period
DR: Reduction in time delay (seconds)
Conversion Convert grams per mile of emissions to pounds per mile of
Factor: emissions
COG Default
Standard
Equation:
A= (DB - DA) * Change in exhaust emissions from improved speed
EFI * VD,P during the peak and off-peak periods.
B= (DB - DA) * Change in idling exhaust emissions from improved traffic
EFI * VD,OP flow during the peak and off-peak periods.
Results:
Daily Emission Reduction = (A + B)/Conversion Factor
P,H R
0.46
0.46
VD,P:
27,671.30
27,671.30
VD,OP:
32,483.70
32,483.70
DR:
10.00
10.00
Conversion
Factor:
453.60
453.60
A:
NOX
197.93
VOC
86.47
B:
232.35
101.51
NOx
VOC
Daily Emission Reduction
(lbs/day) =
0.95
0.41
Daily Emission Reduction
(tons/day) =
0.00
0.00
Source: The Texas Guide to Accepted Mobile Source Emission Reduction, August 2007
Local variable calculations utilize data from the Highway Capacity Manual, and the Dallas-Fort Worth Travel Demand Model.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
Green - Emission Factors
7.2 Intersection Improvements
6/17/2016
DRAFT
7.0 Traffic Flow Improvements
7.4 Intelligent Transportation Systems
Strategy: Improve traffic speeds and reduce idling time through advanced traffic
control systems and more efficient incident and corridor management.
Description: ITS combines the strengths of regional transportation planning
models and traffic simulation models with overall transportation
management strategies. It applies information technologies to the
effective management of a traffic system.
Project
Description:
Application: Controlled-access highways and arterials.
Project Code:
Variables:
Source
EP: Emissions generated by congestion on affected roadway system during the Project Specific
peak period for each pollutant (NOx, VOC, or CO) (tons/day)
FEN, P1: Percent of nonrecurrent congestion eliminated on roadways with ITS
deployment, peak period (decimal)
FER, P: Percent of recurrent congestion eliminated on roadways with ITS
deployment, peak period (decimal)
COG Default
0.79
N/A
0.05
FITS:
0.88
0.88
N/A
FNR, P1:
N/A
N/A
EOP2: Emissions generated by congestion on affected roadway system during the N/A
off-peak period for each pollutant (NOx, VOC, or CO) (tons/day)
EOP2:
N/A
N/A
Project Specific
FOPH2: Percent of off-peak hours/emissions affected by ITS deployment (decimal)
N/A
FOPH2:
N/A
N/A
FNR, OP2: Percent of roadway system emissions caused by nonrecurring congestion
in the off-peak period (decimal)
N/A
FNR, OP2:
N/A
N/A
FEN, OP2: Percent of nonrecurrent congestion eliminated on roadways with ITS
deployment, off-peak period (decimal)
N/A
FEN, OP2:
N/A
N/A
FER,OP2: Percent of recurrent congestion eliminated on roadways with ITS
deployment, off-peak period (decimal)
N/A
FER,OP2:
N/A
N/A
Equation:
NOX
A1 = EP * FNR,P * FITS * FEN, P Change in emissions from alleviating peak hour nonrecurrent congestion
= EOP * FOPH * FNR,OP * FITS * FEN,OP Change in emissions from alleviating off-peak nonrecurrent congestion
C3 = EP * FITS * FER, P Change in emissions reduced from alleviating peak hour recurrent congestion
2
FEN, P1:
N/A
VOC
5.25
0.05
FNR, P1: Percent of roadway system emissions caused by nonrecurring congestion
in the peak period (decimal)
B
NOX
EP:
FER, P:
FITS: Percent of roadway system coverage with ITS deployment (decimal)
1,2
2017
Project Year:
D = EOP * FOPH * FITS * (1-FNR,OP) * FER,OP
Change in emission from alleviating off-peak hour recurrent congestion
Results:
Daily Emission Reduction = (A + B + C + D )*2000
NOX
VOC
A1:
N/A
N/A
1,2
B :
N/A
N/A
C3:
0.23
0.03
2
N/A
N/A
D:
NOX
Daily Emission Reduction
(lbs/day) =
Daily Emission Reduction
(tons/day) =
NOX
VOC
462.00
69.52
0.23
0.03
DFX = NCTCOG Dallas Fort Worth Travel Demand Model for the Expanded Area
1
NCTCOG DFX does not include nonrecurring congestion
2
In an effort to be conservative, NCTCOG does not include off-peak emissions benefits for ITS.
3
NCTCOG DFX does not include nonrecurring congestion. The equation was modified from MoSERS guidance, which assumes a travel-demand model accounting for emissions from
both recurring and nonrecurring congestion.
7.4 ITS
6/17/2016
DRAFT
7.0 Traffic Flow Improvements
7.4 Intelligent Transportation Systems - Regional Benefits Calculation Methodology - 2017 Emisssions
County
NOX (tons/day)
% Emission
VOC
(tons/day)
% ITS
Coverage
(Nonrecurrent)
1
% Recurrent Congestion
Eliminated
% Nonrecurrent
Congestion
Eliminated1
Collin
3.52
0.49
88
N/A
0.05
N/A
Dallas
20.91
3.55
87
N/A
0.05
N/A
Denton
4.21
0.55
89
N/A
0.05
N/A
Tarrant
12.85
2.11
88
N/A
0.05
N/A
Total
41.49
6.70
-
N/A
0.05
N/A
Collin
Dallas
Denton
Four County
Total
(tons/day)
Tarrant
Four County
Total
(lbs/day)
Reduction in Estimated NOX Emissions Caused by Peak Hour Nonrecurrent
Congestion1
N/A
N/A
N/A
N/A
N/A
0.16
0.91
0.19
0.57
1.82
3,634.82
0.16
0.91
0.19
0.57
1.82
3,634.82
N/A
N/A
N/A
N/A
N/A
0.02
0.15
0.02
0.09
0.29
586.60
0.02
0.15
0.02
0.09
0.29
586.60
Reduction in Estimated NOX Emissions Caused by Peak Hour Recurrent Congestion
Reduction in Estimated Total NOX Emissions Caused by Peak Hour Congestion
Reduction in Estimated VOC Emissions Caused by Peak Hour Nonrecurrent
Congestion1
Reduction in Estimated VOC Emissions Caused by Peak Hour Recurrent Congestion
Reduction in Estimated Total VOC Emissions Caused by Peak Hour Congestion
DFX = NCTCOG Dallas Fort Worth Travel Demand Model for the Expanded Area
1
NCTCOG DFX does not include nonrecurring congestion
2
In an effort to be conservative, NCTCOG does not include off-peak emissions benefits for ITS.
3
NCTCOG DFX does not include nonrecurring congestion. The equation was modified from MoSERS guidance, which assumes a travel-demand model
accounting for emissions from both recurring and nonrecurring congestion.
Source: The Texas Guide to Accepted Mobile Source Emission Reduction, August 2007
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
7.4 ITS
6/17/2016
DRAFT
7.0 Traffic Flow Improvements -- TTI Equation
7.5 Grade Separation (Road-Road)
Strategy: Reduce congestion in corridors by reducing idling times and
leading to lower emissions and improved traffic system
efficiency.
Project Year: 2017
Description: Grade Separations increases the efficiency of traffic flow at
intersections by reduction in travel times, delays, and stop-andgo driving.
Project
Description:
Application: Major arterials or high capacity roadways.
Variables:
EFI': Idling emission factor (NOx or VOC) (grams/mile) (equal to
the emission factor at 2.5 mph, all vehicles, arterials)
Project Code:
Source
MOVES2014
EFI: Idling emission factor (NOx or VOC) (grams/hour) (equal to
the emission factor at 2.5 mph, multiplied by 2.5 miles to get
units of grams/hour)
VOC
NOX
EFI':
1.03
0.45
EFI:
2.58
1.13
45.00
DB: Time delay before project implementation (seconds)
COG Default
DB:
45.00
DA: Time delay after project implementation (seconds)
COG Default
DA:
0.00
0.00
V:
52,831.00
52,831.00
V: Bi-directional arterial volume for analysis period
P,HR Peak Hour Ration
Project
Specific
COG Default
VD,P: Average daily volume during the peak period
VD,OP: Average daily volume during the off-peak period
DR: Reduction in time delay (seconds)
Conversion Factor: Convert grams per mile of emissions to pounds per mile of
emissions
Equation:
A= (DB - DA) * EFI * VD,P Change in exhaust emissions from improved speed
during the peak and off-peak periods.
B= (DB - DA) * EFI * VD,OP Change in idling exhaust emissions from improved traffic
flow during the peak and off-peak periods.
Results:
Daily Emission Reduction = (A + B)/Conversion Factor
COG Default
Standard
P,H R
0.46
0.46
VD,P:
24,302.26
24,302.26
VD,OP:
28,528.74
28,528.74
DR:
45.00
45.00
Conversion
Factor:
453.60
453.60
A:
NOX
782.23
VOC
341.75
B:
918.27
401.19
VOC
NOX
Daily Emission Reduction
(lbs/day) =
3.75
1.64
Daily Emission Reduction
(tons/day) =
0.00
0.00
Source: The Texas Guide to Accepted Mobile Source Emission Reduction, August 2007
Local variable calculations utilize data from the Highway Capacity Manual, and the Dallas-Fort Worth Travel Demand Model.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
Green - Emission Factors
7.5 Roadway-Grade Separation
6/17/2016
DRAFT
8.0 Park-and-Ride/Fringe Parking
8.1 New Facilities
Strategy: Reduction of vehicle trips and VMT by enhancements of
transit system and ridesharing.
Project Year: 2017
Description: Construction of new park-and-ride facilities in locations
remote from the central city area or major business activity
centers or on the fringes of major employment centers. Lots
or garages are constructed adjacent to or very near transit
facilities or heavily traveled corridors. These lots are
designed to be conducive to several modes of
transportation including pedestrian and bicycle facilities.
New facilities will require coordination with other
transportation agencies, and political and citizen groups.
Project
Description:
Application: Cities with a population density great enough to warrant
projects that encourage carpooling.
Variables:
Project Code:
Source
NOX
VOC
EFB: Speed-based running exhaust emission factor before
implementation (NOx or VOC) (grams/mile) (assume 34
mph, Light Duty Vehicles in all roadway types)
MOVES2014
EFB:
0.27
0.09
NPK: Number of parking spaces
NPK:
887.00
887.00
UP: Parking lot utilization rate (estimate)
Project
Specific
COG Default
UP:
0.85
0.85
TLW: Average auto work trip length (miles)
COG Default
TLW:
20.00
20.00
TLPR: Average auto trip length from home to parking facility
(miles)
COG Default
TLPR:
4.00
4.00
Conversion Convert grams per mile of emissions to pounds per mile of
Factor: emissions
Conversion
Factor:
453.60
453.60
Results:
Daily Emissions [NPK * UP * (TLW - TLPR) * EFB * 2 trips/day] / Conversion
Reduction=
Factor
Daily Emission Reduction
(lbs/day) =
14.36
4.79
Daily Emission Reduction
(tons/day) =
0.01
0.00
NOX
VOC
Source: The Texas Guide to Accepted Mobile Source Emission Reduction Strategies, Texas Transportation Institute, August 2007
Local assumptions are calculated from data generated by the Dallas-Fort Worth Regional Travel Model, and from professional judgment of the
North Central Texas Council of Governments staff.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
Green - Emission Factors
8.1 Park and Ride
6/17/2016
DRAFT
11.0 Bicycle and Pedestrian Programs
11.1 Bicycle and Pedestrian Lanes or Paths
Strategy: Replacement of vehicle trips and VMT with bicycle and
pedestrian travel.
Description: A wide variety of bicycle and pedestrian projects are available to
practitioners for implementation in air quality mitigation efforts.
Funding for these types of programs has increased dramatically
under ISTEA and TEA-21. Examples of such projects include
(but are not limited to): reallocation of right-of-way to
accommodate bicycles and pedestrians, new trails, median
refuges at key intersections, improved connections between
residential areas and transit stops.
Project Year: 2017
Project
Description:
Application: Areas where travel distances (residential/work or retail sites, for
example) are short enough for bicycle/ pedestrian travel to be
practical.
Variables:
EFB: Speed-based running exhaust emission factor for participants'
trip before participating in the bike/pedestrian program (NO x or
VOC) (grams/mile) (assume 34 mph, LDV and arterial roadway
types)
TEFAUTO: Auto trip-end emission factor (NOx or VOC) (grams/trip)
TLB: Average auto trip length before implementation (miles)
Project Code:
Source
MOVES2014
EFB:
NOX
0.15
VOC
0.05
MOVES2014
TEFAUTO:
0.67
0.80
COG default
TLB:
1.00
1.00
NBW :
2,292.00
2,292.00
Conversion
Factor:
453.6
453.6
BP team
NBW : Number of trips utilizing the bike/pedestrian facility
Where,
NBW is calculated using bike needs indices (BNI) and
pedestrian needs indices (PNI). The BNI is determined by the
percentage of total trips that are five miles or less, employment
density, population density, and medium income. Each of the
Transportation Analysis Process (TAP) zones within the DallasFort Worth Metropolitan Planning Area are ranked for each
factor of the BNI and PNI. These rankings are compared against
the regional value to generate an "index-to-region" score. Indexto-region scores greater than 1.00 indicate higher than average
levels, and scores lower than 1.00 indicate lower than average
levels. A ranking weight is then applied to each index-to-region
score and summed for each TAP zone. The TAP zone area,
population, and scores are compared against a site-specific
radius for each bike/pedestrian facility to quantify the number of
facility users (NBW) above, with exceptions. Natural and
manmade barriers are also considered, including rivers,
highways, and other incompatible land uses and street patterns.
Conversion Factor: Convert grams per mile of emissions to pounds per mile of
emissions
Results:
Daily Emissions Reduction = (NBW * TLB * EFB) + (NBW * TEFAUTO)/ Conversion
Factor
NOX
VOC
Daily Emission
Reduction
(lbs/day) =
4.14
4.29
Daily Emission
Reduction
(tons/day) =
0.00
0.00
Source: The Texas Guide to Accepted Mobile Source Emission Reduction Strategies, August 2007
Final Units of measure: grams/day.
Shading denotes input variables specific to the project. Other variables are either standard for the program or calculated using these inputs.
Blue - Project Specific Input
Yellow - Assumptions
Green - Emission Factors
11.1 Bike Peds
6/17/2016