Smarter Urban Mobility Systems Around the Pacific Rim Jerry Walters Fehr & Peers
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- Slide 1
- Smarter Urban Mobility Systems Around the Pacific Rim Jerry
Walters Fehr & Peers
- Slide 2
- Virtuous Cycles in City Planning and Operation Simulate Plan
Iterate / Implement Approve Evaluate Analyze Design Build Operate
Monitor + Manage
- Slide 3
- How Scale Matters Urban Forms that Reduce Traffic, Energy and
Emissions
- Slide 4
- Dimensions of Urban Form and Vehicle Use 1.Density 2.Diversity
3.Design 4.Destinations 5.Distance to Transit 6.Development Scale
7.Demographics 8.Demand Management
- Slide 5
- National Evidence on MXD Travel Generation
- Slide 6
- Network Data, Analytics and Simulation
- Slide 7
- Kunming-Chenggong New Town
- Slide 8
- 2,800 acres 232,300 population 243,300 jobs Objectives Energy
efficiency Emissions and GHG reduction Economic and fiscal
performance Health and safety Kunming New Town / Sustainable
Objectives
- Slide 9
- and Challenges Macro: Pace of development Planning and
performance mandates Car culture Lack of data and models
- Slide 10
- Integrated Zoning, Circulation Systems
- Slide 11
- Sesame Street Quiz
- Slide 12
- Inter-Connected Network OptionConventional Network Plan Kunming
Urban Form / Network Form
- Slide 13
- Network Simulation (Ignores benefits of 9% trip reduction and
traffic dispersion to parallel routes)
- Slide 14
- Operational Comparison MeasureStandard ArterialCouplet
Pedestrian Crossing Distance 35.0 meters12.7 meters Min. Pedestrian
Crossing Time 37.3 seconds13.6 seconds Number of Signal Phases 4 to
82 to 5 # of LOS E/F Intersections 4 of 4 (100%)5 of 16 (31%)
- Slide 15
- Sustainability Indicators MeasureStandard ArterialCouplet
East-West Travel Time 8 minutes6 minutes (-25%) Vehicle Hours of
Delay (VHD) 860 VHD640 VHD (-25%) Fuel Consumption 9,100
liters7,500 liters (-18%)
- Slide 16
- California Legislated Mandates AB 32 Greenhouse gas reduction
targets, Cap + Trade SB 97 CEQA requirements for GHG assessment SB
375 - Linkages among: GHG targets regional transportation
sustainable communities strategies SB 732 Grant funding for
sustainable communities SB226 Approval streamlining for infill
development
- Slide 17
- Location Efficiency Network Management Multi-Modal Focus Speed
Suitability Caltrans Smart Mobility Performance Measures
- Slide 18
- CAPCOA Best Management Practices
- Slide 19
- High Speed Rail Sustainability Evaluation
- Slide 20
- Micro/ Macro Analysis of 3-B-L Performance
- Slide 21
- Data / Analytics
- Slide 22
- Benefits of Sustainable Transport/ Land Use
- Slide 23
- Better-Informed Transportation Decisions ASAP Simulate Plan
Measure Approve Evaluate Analyze Design Build Operate Manage +
Monitor
- Slide 24
- Thank You! Jerry Walters Fehr & Peers
- Slide 25
- Operationalizing Smarter Urban Mobility Systems Jerry Walters
Fehr & Peers
- Slide 26
- Goals for Smarter Mobility Systems Decisions ASAP and better
informed Better infrastructure design decisions Accurate impact
assessments of land development User-oriented transit service plans
and station designs Optimal sizing and integration of on-demand
systems Tailored mobility services to optimize TDM
effectiveness
- Slide 27
- Lab Work Bus reliability by route segment GHG, fuel use at
traffic signals, roundabouts, stop signs Biases/inaccuracies in
self- reported journey times
- Slide 28
- Field Work Transit ridership optimization Neighborhood parking
management enforcement Bike station analytics: opportunity
effectiveness assessment
- Slide 29
- Leading-Edge Work Express-lane bottleneck removal through
GPS-calibrated simulation Regional traffic modeling through video
and cell O/D identification Simulation of campus operation,
expansion options
- Slide 30
- Next Gen Studies for Smart Mobility
- Slide 31
- Why and how people travel Longitudinal measurement Traveler
demographics, market segmentation O/D data vs built environment
(Ds) Models with complex AI objective functions Safety studies:
Road, signing and traffic conditions, driver attention
- Slide 32
- Next Gen Studies for Smart Mobility Operational improvements
Traffic queues and delays, simulation models Cruising for parking
Traveler-weighted transit service level Un-served markets Service
availability, traveler characteristics of transit non-users
Demographics of bike-share users, demographics and journey
characteristics of non-users Comprehensive bicyclist route choice
factors, including safety and security
- Slide 33
- Data Aggregation and Synthesis Needed
- Slide 34
- A Dozen Data Desires 1.Higher fidelity traffic flow data
2.Complete traveler O/D movements by all modes 3.Operating flow,
interactions and incidents among modes 4.Longitudinal data:
before/after stimulus 5.Land use and employment inventories by
parcel 6.Over-the-net accessibility: time, cost, reliability,
uncertainty * calibrate/ validate
- Slide 35
- A Dozen Data Desires 7.GPS verification of household and
workplace surveys 8.Geo-correlation of travel surveys with built
context 9.Transaction data to discern travel purpose 10.Consistent
variable definitions to allow cross-walking data 11.Consistent
sample rates by region 12.Open data from synthesizers via clients
and from big actor data sources * calibrate/ validate
- Slide 36
- Multi-Modal Network Simulation - Silicon Valley
- Slide 37
- Multi-Modal Network Simulation Kunming China