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Final Project _ UP 430Dec 2016
By: Richa Singh
2
Introduction and Scenario
Distribution Techniques
TDM Techniques Result AnalysisRecommendation and Conclusions
Agenda
3
Regional Characteristics
East central Illinois Economic center of activities
50,000 students, faculties, and staff
University of Illinois
Roadway networksStreet bicycle facilities
CUMTD Pedestrian facilities
Transportation
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Client Logo
4
Scenario
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
10,000 additional employees
Service sector employment boom
Population growth concentrated along urban areas and nearby
villages
Client Logo
5
Projected Land Use
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Existing Proposed_2040
Client Logo
6
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Existing Proposed_2040
Projected Land Use
Client Logo
7
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Existing Proposed_2040
Projected Land Use
Population and Employment Growth Trends for Year 2040 (LRTP)
◼ 2040 LRTP (traditional development) used as main guideline to estimate population growth trends in region
◼ Graph shows population growth of 21.8% between 2010 and 2040
◼ 46.5% Increase in employment
8
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Population Estimation (Trend #1)
◼ Trend #1 mentions population growth to be concentrated along the boundaries of urbanized and nearby small villages.
◼ TAZs mostly from villages of Savoy, St. Joseph, Mahomet and Bondville
◼ TAZs near national highways (I-57, I-74)
9
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Population Increase Distribution_2040
10
Mahomet
Savoy
Tolono
St. Joseph
Bondville
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Notable
employment
increase at
University South
Research Park
Employment Increase Distribution
◼ Per Scenario (Aggressive Growth Trend #1) an additional 10,000 jobs added to University South Research Park (Yahoo, TAZ 59, 61)
◼ Total employment population for year 2040 estimated to be 158,839 (before 148,846)
◼ Employment change increases to 56.3%
◼ Division among TAZs of service, retails and others Followed same proportions (further divisions) as 2010
11
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Population Distribution According to Household Size
12
◼ Distribution of population between household sizes based on existing proportions
◼ Percentages of HH1 and HH2 are far higher than HH3 and HH4.
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
13
Trip Generation Modelling Technique
Land use, population,
economic forecast
Estimate trips to and from each zone
Balance production
and attraction
Balancing Factor
𝐵𝐹 =𝐶𝑇𝑃σ𝐴𝑧
Regional Control Total
𝐶𝑇𝑃 =𝑃𝑧 +𝑃𝑒 −𝐴𝑒
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
2010 2040
Production 2410 12800
Attraction 7000 43500
14
Trip Distribution Modelling Technique
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Link trip production and trip attraction for each zonal pair
Trip lengthTravel
orientation
Magnitude of traffic and passenger volumes
Gravity Model
𝑇𝑖𝑗 =𝑃𝑖 𝐴𝑗𝐹𝑖𝑗𝐾𝑖𝑗σ𝐴𝑘𝐹𝑖𝑘𝐾𝑖𝑘
Production and
Attraction
Production and
Attraction
Production and
Attraction
Mostly concentrated in the villages of Savoy, Mahomet, Rantoul and Bondville.
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
RESULTS
TAZs of extensive increase in the Home bound work and Home bound Shopping trips.
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Research Park
Research Park
%increase in VMT : 10%
%increase in VHT : 2%
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
VMT AND VHT Comparison
0
20
40
60
80
2010 2040
Miles T
ravelled
VMT Ratios
Per HH Per Person
0
0.5
1
1.5
2010 2040
Hours
Tra
velled
VHT Ratios
Per HH Per Person
4800000
5000000
5200000
5400000
5600000
2010 2040
Miles T
ravelled
Total VMT
Total Regional VMT
108500
109000
109500
110000
110500
111000
111500
2010 2040
Hours
Tra
velled
Total VHT
Total Regional VHT
Congested Miles : 2.4Nearly Congested Miles : 3.7
Congested Miles : 8.84Nearly Congested Miles : 14.3
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Level of Congestion Comparison
Congested areas
Nearly Congested areas in Research park
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Traffic Volume Comparison
Increased traffic volumes
Increased traffic volumes
20
Recommendations: Expanding Current CUMTD Bus Lines
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
21
Reduction of Single Occupancy Vehicles
Promote Record Redeem
Next Steps
1 2 3
Green transportation
forms
Prevented emissions and NuRide points
Rewards
Introduction and Scenario
Distribution Techniques
TDM Techniques
Result Analysis
Recommendation and
Conclusions
Free, incentive-based TDM program