I-105 Corridor Sustainability Study (CSS)media.metro.net/about_us/committees/sfs/images/sfs...I-105...
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I-105 Corridor Sustainability Study (CSS)
Metro Streets and Freeways SubcommitteeMarch 21, 2019
Gary Hamrick Cambridge Systematics, Inc.
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I-105 CSS Project History & Background
Funded by Caltrans Sustainable Transportation Planning Grant
Purpose:»Examine multi-modal I-105 corridor »Beyond traditional freeway operations planning »Integrate emerging CTC and Caltrans Corridor
guidelines»Include key corridor stakeholders
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NEW Multi-Modal Corridor Plan Guidelines
Caltrans Corridor Planning Guidebook» To replace Transportation Concept Report (TCR) guidelines» Public draft released in December, 2018» Final draft April 2019
CTC Comprehensive Multi-Modal Corridor Plan Guidelines» California Transportation Commission guidelines for eligibility of
plans and projects under Congested corridors program (SB1)» Final guidelines approved December 5, 2018» Agencies beginning to create plans now (CMCP)
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Project Objectives
Not simply Level of Service for Autos!
» Reduce delay per capita;» Reduce vehicle miles traveled (VMT) per capita;» Improve connectivity between modes;» Increase mode share for transit, walking, and bicycling;» Improve system conditions (preservation);» Improve system efficiency (operations);» Reduce serious and fatal collisions; and» Support Senate Bill 375 and greenhouse gas reduction
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Process
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Evaluate Projects
Stakeholder Input
Develop Evaluation Framework
Assess Existing + Future Conditions Final I-105 Plan
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Significant Stakeholder Outreach EffortProject Develop Team » SCAG, Caltrans, Metro
Technical Advisory Committee» Cities/county» Transit providers» Interest groups
Stakeholder Interviews » Transit providers,» Active transportation groups» Cities
Infographics
Project Website
Online Public Survey6
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Leveraged Available Resources & Tools
SCAG Model
SCAG Land Use and SED
Existing Corridor Microsimulation Model
Metro Mobility Project Matrices
Metro Arterial Performance Measurement Tool
Safety Data (TASAS, SWITRS)
“Big” Transportation Data – INRIX, AirSage, etc.
Environmental Study Data
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Task 1 - Study Area Definition
Purpose: Define Extent of Study Area
Methodology: »SCAG’s regional travel demand model applied
»“Select link” analyses identify travel patterns
»Origins and destinations of trips in the area
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Recommended Project Study Area
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3 Miles around all sides of I-105 Freeway
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Select Link Model Run ResultsFreeway Mainline Segments
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I-105 WB at Crenshaw Blvd
I-105 EB at S. Central Ave
Trip Origins & Destinations
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Select Link Model Run ResultsOn-Ramp Segments
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I-105 On-ramp at S. Croesus Ave.
I-105 On-ramp at Crenshaw Blvd.
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Develop Evaluation Framework
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SCAG RTP/SCS
LA Metro Measure M Framework
Gateway Cities Strategic Transportation Plan
South Bay Mobility Matrix
Caltrans Smart Mobility Framework
Local/Regional/State Performance Measures
Sustainable South Bay
LA Metro Countywide Sustainability Planning Policy
Tie to Metro Planning Goals for Measure M
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Evaluation Framework
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Evaluation Framework
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COMPREHENSIVE BASELINE CONDITIONS ASSESSMENT
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Population Density
• Pockets of high-density residential, most heavily concentrated inSouth LA, Hawthorne, South Gate, and Inglewood
Source: SCAG 2016
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Employment Density
• The western and eastern ends of corridor have the greatest density of employment. Employment mix is similar to County profile
Source: SCAG 2016
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Median Household Income
• Over 50% of Census Tracts have median income below $50K • 21% below federal poverty level
Source: ACS 2015
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% Households with Income Below Poverty Level
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CalEnviroScreen and Communities of Concern
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TRANSPORTATION SYSTEM ANALYSIS
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Freeway Conditions/BottlenecksAM EastboundAM Westbound
• AM peak – eastbound operates very well, westbound slow speeds and congestion.
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Arterial Vehicle Miles Traveled
• Also looked at delay and level of service on arterial system
Source: Metro, 2016
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Pavement Conditions
69.1%
22.0%
9.0%
Freeway Only
Good Acceptable Poor
14.1%
29.1%56.8%
Arterials + Frwy
Good Acceptable Poor Source: HPMS, 2015
Based on International Roughness Index Data
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I-105 Collisions vs. Other Area Freeways
0.00
0.50
1.00
1.50
2.00
2.50
I-10
SR 1
4
SR 2
2
SR 5
7
SR 6
0
SR 9
1
US
101
I-105
I-110
SR 1
18
SR 1
34
SR 1
70
I-210
I-405
I-605
I-710
LA C
ount
y Av
erag
e
Cal
iforn
ia A
vera
ge
Acci
dent
s pe
r Mill
ion
VMT
Source: Caltrans PeMS and TASAS
• I-105 collision rates near other freeways, but slightly higher, thanLA County average
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Locations of Bicycle and Pedestrian Collisions
Source: SWITRS, 2012-2016
Concentration of bike collisions in middle portion of study area - LA
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Locations of Truck Collisions
Source: SWITRS, 2012-2016
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Municipal and Local Transit Routes
Source: Metro, 2014
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Metro Bus Ridership by Line
Source: Metro, 2017
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Metro Rail Ridership by Station
Source: Metro 2017
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Bicycle Commute Mode Share
• Bike commute mode share close to county average (0.9%)
Source: ACS 2015
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FUTURE BASELINE CONDITIONS
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I-105 Study Area Population Growth, 2040
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• Growth anticipated to be significantly lower than the county average
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I-105 Study Area Employment Growth, 2040
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• Employment increase close to county average with concentrations in Inglewood and near LAX
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Freeway Volume Growth to 2040
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Freeway volumes will only increase about 5% but congestion will increase
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Highway Volume-to-Capacity Ratios, 2012 and 2040
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Arterial Volume Growth to 2040
37
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PROJECT ASSESSMENT &
SCENARIO IDENTIFICATION
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Task 6: Develop and Evaluate Improvement Scenarios
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Project Type # of Projects
Active Transportation Projects 124
Arterial Projects 295
Goods Movement Projects 11
Highway Projects 86
Transit Projects 38
Current Project List
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Project Evaluation Process
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CategorizationQualitative Quantitative
OrganizationEvaluation
Projects assigned to types, subtypes and
implementation timeframes
Project subtypes evaluated based on their
ability to meet each performance objective
Projects evaluated based on ability to address specific deficiencies
Based on composite score across objectives,
each project type organized into top,
middle, and bottom tiers
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Steps 1 and 2: Projects Organized by Subtype and Implementation Period
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Type Subtype Near/ Mid/ Long
Active Transportation
Bikeshare
NearBikeway—Class 2Bikeway—Class 3 or UnspecifiedEducation and PromotionBeautification/ Open SpacePedestrian Improvements1st/ Last MileBikeway—Class 1 or 4
MidBike/ ped Bridges
Complete StreetsNew Sidewalk/ Trail
Arterial
Capacity Enhancement (arterial)
NearIntersection ImprovementState of Good RepairITS / Operational Improvements (arterial)Arterial Corridor Improvement MidBridge and Grade Separation
Goods MovementGoods Movement, Logistics & Technology Mid
Grade Separation and Crossing Projects Long
Highway
ITS / Operational Improvements (highway) NearAuxiliary Lane
Mid
HOV/HOT/ Express LanesIntegrated Corridor ManagementInterchange EnhancementRamp ImprovementsSoundwalls
Major Capacity Enhancement (highway) Long
Transit
Bus Replacement/ Transit Maintenance/ Transit Operations NearNew Bus Metrolink Commuter Rail Program Enhancements
MidNew BRTTransit Centers/ Park and Ride/ Bus stations/ Bus stopsNew Rail Long
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Step 3: Active Transportation Project Type (Low, Medium, High)
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Type Subtype
Act
ive
Tran
spo
rtat
ion
Bikeshare
Bikeway—Class 2
Bikeway—Class 3
Education and Promotion
Beautification/ Open Space
Pedestrian Improvements
1st/ Last Mile
Bikeway—Class 1 or 4
Bike/ ped Bridges
Complete Streets
New Sidewalk/ Trail
2 0 1 1 1 0 0 0 0 0 1 1 1 0 1 1 1 1 2 2 1 1
0 0 1 1 1 0 0 0 0 0 1 1 1 0 2 2 1 1 2 2 1 1
0 0 1 1 0 0 0 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1
0 0 1 1 0 0 0 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 1 1 1 0
0 0 1 1 1 0 0 0 0 0 1 1 1 0 2 2 1 1 2 1 1 1
2 0 2 2 1 0 0 0 0 0 1 1 2 0 2 2 1 1 2 2 1 1
0 0 2 1 1 0 1 0 0 0 1 1 1 0 2 2 1 1 3 3 1 1
0 0 1 1 1 0 0 1 0 0 1 1 1 0 2 2 1 1 1 1 1 1
1 0 2 2 2 0 1 1 0 0 1 1 2 0 2 2 1 1 1 1 1 1
0 0 2 1 1 0 1 0 0 0 1 1 1 0 1 1 1 1 3 1 1 1
Mobility & Connectivity SO
GR Accessibility
& EquitySustainability
Safe
ty
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GIS Locational Analysis; Projects Receive Detailed Score
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Type Extra Scoring
Active Transportation
Within a half mile of a BRT or rail station
Intersects a CalEnviroScreen disadvantaged Census tract
Intersects a quarter-mile buffer around schools, intersects a half-mile buffer around hospitals and medical centers, intersects a commercial center
ArterialProject on east/ west corridor
Vehicle hours of delay > 1,000
VMT over 150,000 miles
Transit
Employment Density >15 jobs per acre, intersects a commercial center
Intersects a CalEnviroScreen disadvantaged Census tract
Population density > 20,000 people per square mile
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Final Evaluation: Summary of Results
73
36
10
161
48
7
51
34
5
Near Mid Long
Low Tier Medium Tier High Tier
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Active Transportation Projects (eastern)
45
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Highway Projects (western)
46
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Arterial Projects (eastern)
47
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Transit Projects (eastern)
48
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SUMMARY
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Areas of SuccessClear Goals and Purpose» Study Area agreed upon up front» Objectives and performance measures developed early» Objectives and performance measures tied to regional goals
Leverage available resources» Utilize existing datasets to minimize cost and time » Use existing planning studies to identify deficiencies and project
ideas
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Areas of Success
Engage stakeholders early and often» TAC valuable for identifying deficiencies & project ideas;» One-on-one interviews very valuable;
Quantitative and qualitative evaluation techniques» Projects can meet objectives based on;
– the type of improvement; –GIS / locational data valuable to assess specific
deficiencies
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Key Challenges
Community Engagement» Public interest difficult at “plan” level;» People mostly care about what affects them NOW;
Project Identification» Study Area can be too large for some modes and too small for
others;
Benefits Evaluation» How to determine if project provides mobility benefits in Study Area?» What level of evaluation can you accomplish?
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Key Challenges
Project Evaluation » Limited data to evaluate some projects, » Qualitative analysis can be limiting unless tied to specific
corridor deficiencies
Project Prioritization» Balancing competing multi-modal goals
– (e.g. truck throughput and bicyclist safety) » How to develop project scenarios;
–Time frame (short, medium, long)–Effectiveness (high, medium, low)–Ranking (1 to X)?
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