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Smarter Urban Mobility Systems Around the Pacific Rim Jerry Walters Fehr & Peers
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Virtuous Cycles in City Planning and Operation Simulate Plan Iterate / Implement Approve Evaluate Analyze Design Build Operate Monitor + Manage
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How Scale Matters Urban Forms that Reduce Traffic, Energy and Emissions
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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
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National Evidence on MXD Travel Generation
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Network Data, Analytics and Simulation
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Kunming-Chenggong New Town
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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
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… and Challenges Macro: Pace of development Planning and performance mandates Car culture Lack of data and models
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Integrated Zoning, Circulation Systems
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Sesame Street Quiz
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Inter-Connected Network OptionConventional Network Plan Kunming Urban Form / Network Form
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Network Simulation (Ignores benefits of 9% trip reduction and traffic dispersion to parallel routes)
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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%)
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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%)
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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
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Location Efficiency Network Management Multi-Modal Focus Speed Suitability Caltrans Smart Mobility Performance Measures
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CAPCOA Best Management Practices
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High Speed Rail Sustainability Evaluation
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Micro/ Macro Analysis of 3-B-L Performance
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Data / Analytics
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Benefits of Sustainable Transport/ Land Use
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Better-Informed Transportation Decisions ASAP Simulate Plan Measure Approve Evaluate Analyze Design Build Operate Manage + Monitor
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Thank You! Jerry Walters Fehr & Peers
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Operationalizing Smarter Urban Mobility Systems Jerry Walters Fehr & Peers
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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
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Lab Work Bus reliability by route segment GHG, fuel use at traffic signals, roundabouts, stop signs Biases/inaccuracies in self- reported journey times
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Field Work Transit ridership optimization Neighborhood parking management enforcement Bike station analytics: opportunity effectiveness assessment
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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
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Next Gen Studies for Smart Mobility
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Why and how people travel –Longitudinal measurement –Traveler demographics, market segmentation –O/D data vs built environment (D’s) –Models with complex AI objective functions Safety studies: –Road, signing and traffic conditions, driver attention
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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
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Data Aggregation and Synthesis Needed
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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
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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
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Multi-Modal Network Simulation - Silicon Valley
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Multi-Modal Network Simulation – Kunming China
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