Presentation is loading. Please wait.

Presentation is loading. Please wait.

2018/5/14 QUANTIFYING PHYSICAL ACTIVITY USING AN ACTIVITY-BASED TRAVEL DEMAND MODEL My topic today is---READ Question try to address is- READ I want to.

Similar presentations


Presentation on theme: "2018/5/14 QUANTIFYING PHYSICAL ACTIVITY USING AN ACTIVITY-BASED TRAVEL DEMAND MODEL My topic today is---READ Question try to address is- READ I want to."— Presentation transcript:

1 2018/5/14 QUANTIFYING PHYSICAL ACTIVITY USING AN ACTIVITY-BASED TRAVEL DEMAND MODEL My topic today is---READ Question try to address is- READ I want to acknowledge: SANDAG co-authors--Names PB, RSG, and Hood Transportation Consulting who worked on various parts of the model. TRB Planning Applications Conference – May 15, 2017 Wu Sun, Yun Ma, and Clint Daniels ABM Project Update

2 California SB 375

3 SANDAG Health Atlas

4 SANDAG Mode Choice Nesting
5/14/2018 SANDAG Mode Choice Nesting Choice Auto Drive alone GP(1) Pay(2) Shared ride 2 GP(3) HOV(4) Pay(5) Shared ride 3+ GP(6) HOV(7) Pay(8) Non-motorized Walk(9) bicycle(10) Transit Walk access Local bus(11) Express bus(12) BRT(13) LRT(14) Commuter rail(15) PNR access Local bus(16) Express bus(17) BRT(18) LRT(19) Commuter rail(20) KNR access Local bus(21) Express bus(22) BRT(23) LRT(24) Commuter rail(25) School Bus(26) ABM mode choice structure-26 Modes. Modes involved physical activities: Walk Bike Walk access to 5 transit line haul modes Walk and bike activities Walk to transit activities

5 DRAFT - FOR EXPERT PANEL REVIEW ONLY
Scope of Work & Schedule Develop Software Develop Bicycle Count Dataset Revise and Recalibrate Mode Choice Models Calibrate Bicycle Route Choice Model Perform Sensitivity Tests Prepare Documentation Build Supply Representation A 7 month tight project: 7 TASKS Build network: 2010-model base year, consistent with ABM 2012-RTP base year Software: bicycle and ped route choices ABM mode choices changes Count: Compare model estimated results with observed counts Talk more later Sensitivity tests: 2 sensitivity tests Uptown/north park projects as test case DRAFT - FOR EXPERT PANEL REVIEW ONLY

6 Existing Bikeways Facility Type Miles % of Total
Class I: Off-Street Path 159.3 11.9% Class II: On-Street Lane 890.2 66.4% Class III: On-Street Signed Route 243.9 18.2% Freeway Shoulders 47.4 3.5% TOTALS 1,340.8 100% There are approximately 1,340 miles of existing bicycleway in the region. Class I, II, III, read. Picture. Class II predominate type 66% of total Class III 18% Class I 12% (SKIP) Although bicycles are allowed on a few select freeway shoulders, this plan does not propose to include those facilities in the regional bicycle network. (SKIP) The plan propose two new facility types: Cycle track: like II but with physical barrier Bike boulevard: like III but with traffic calming and other treatments. (SKIP) Build out of the regional bicycle network will result in miles of new Class I facility, 51.6 miles of new enhanced Class II facility, 27.2 miles of new enhanced Class III, 34.2 miles of bicycle boulevard, and 8.3 miles of cycle track. The estimated cost for build out of the regional bicycle network is $419 million (SKIP).

7 Non-Motorized Impedance
1 Walk from MGRA 1 to TAP. Blue line: straight line based, with scaling factor. Yellow line: the improved with a real walking path. Only possible with an all street network. All street network: talk more later. TAP Improved walk access path to TAP Current walk access path to TAP

8 + Bicycle Network Off street path SANGIS all street network
On street lane + On street signed route bicycle routes All street link

9 Bicycle Path Choice Variable Coef. Source Distance terms
Distance, total (mi.) –0.858 Monterey Distance on class I bicycle paths 0.610 Portland Distance on class II bicycle lanes 0.314 Distance on class III bicycle routes 0.085 Distance on arterials without bicycle lanes –1.050 Distance on “cycle track” class II bicycle lanes 0.120 None Distance on “boulevard” class III bicycle routes 0.430 Distance wrong way –3.445 San Francisco Cumulative gain in elevation, ignoring declines (ft.) –0.010 Turns, total –0.083 Traffic signals, excluding right turns and through T junctions –0.040 Un-signalized left turns from principal arterial –0.360 Un-signalized left turns from minor arterial –0.150 Un-signalized crossings of / left turns onto principal arterial –0.480 Un-signalized crossings of / left turns onto minor arterial –0.100 Access of interstate, freeway, or expressway Constrained Log of path size 1.000 Distance terms by facility type Gain in elevation These are the variables included in the bike path choice utility function. Think about these as the factors that affects a biker’s choice of which bike route to take. Distance terms by facility types Positive gain in elevation Number of turns Signal related variables. From various places: San Francisco Portland Monterey Signal

10 Count Locations 7 clusters 78 locations Urban Regional

11 Quantifying Physical Activity (1)
5/14/2018 Quantifying Physical Activity (1) Physical activity measures Daily average time spent on physical activity per capita % population engaging in physical activity (>20min) Quantification relies on: Walk impedance (MGRA pairs) Bike impedance (MGRA and TAZ pairs) Walk to transit stop impedance (MGRA to TAP)

12 Quantifying Physical Activity (2)
5/14/2018 Quantifying Physical Activity (2) Impedance is perceived time that accounts for cumulative elevation gain Physical activity calculation is database driven

13 Physical Activity in the Plan

14 5/14/2018 Conclusions Integrated ABM/AT model allows modeling walk, bike, and walk-to-transit trips explicitly Physical activity is a quantitative performance measure in San Diego Forward For future work add a bike-to-transit mode apply this methodology in social equality analysis An advanced model platform with: full set of mode choices an all street network a micro zone system (MGRA) full integrated between ABM and AT models Physical activity is a standard PM in San Diego Forward Add bike to transit model to fully account for transportation related physical activities


Download ppt "2018/5/14 QUANTIFYING PHYSICAL ACTIVITY USING AN ACTIVITY-BASED TRAVEL DEMAND MODEL My topic today is---READ Question try to address is- READ I want to."

Similar presentations


Ads by Google