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Smarter Urban Mobility Systems Around the Pacific Rim. Jerry Walters Fehr & Peers. Virtuous Cycles in City Planning and Operation. How Scale Matters Urban Forms that Reduce Traffic, Energy and Emissions . D ensity D iversity D esign D estinations D istance to Transit D evelopment Scale
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Smarter Urban Mobility SystemsAround the Pacific Rim Jerry Walters Fehr & Peers
How Scale MattersUrban Forms that Reduce Traffic, Energy and Emissions
Density Diversity Design Destinations Distance to Transit Development Scale Demographics Demand Management Dimensions of Urban Form and Vehicle Use
Kunming New Town / Sustainable Objectives • 2,800 acres • 232,300 population • 243,300 jobs • Objectives • Energy efficiency • Emissions and GHG reduction • Economic and fiscal performance • Health and safety
… and Challenges Macro: • Pace of development • Planning and performance mandates • Car culture • Lack of data and models
Kunming Urban Form / Network Form Conventional Network Plan Inter-Connected Network Option
Network Simulation (Ignores benefits of 9% trip reduction and traffic dispersion to parallel routes)
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
Caltrans Smart Mobility Performance Measures • Location Efficiency • Network Management • Multi-Modal Focus • Speed Suitability
Thank You! Jerry Walters Fehr & Peers
Operationalizing Smarter Urban Mobility Systems Jerry Walters Fehr & Peers
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
Lab Work • Bus reliability by route segment • GHG, fuel use at traffic signals, roundabouts, stop signs • Biases/inaccuracies in self-reported journey times
Field Work • Transit ridership optimization • Neighborhood parking management enforcement • Bike station analytics: opportunity effectiveness assessment
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
Next Gen Studies for Smart Mobility • 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
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
A Dozen Data Desires • Higher fidelity traffic flow data • Complete traveler O/D movements by all modes • Operating flow, interactions and incidents among modes • Longitudinal data: before/after stimulus • Land use and employment inventories by parcel • Over-the-net accessibility: time, cost, reliability, uncertainty • * calibrate/ validate
A Dozen Data Desires • GPS verification of household and workplace surveys • Geo-correlation of travel surveys with built context • Transaction data to discern travel purpose • Consistent variable definitions to allow cross-walking data • Consistent sample rates by region • Open data from synthesizers via clients and from big actor data sources • * calibrate/ validate