01590288

Component

https://doi.org/10.3141/2542-15

It is widely recognized that new vehicle and fuel technologies are necessary but not sufficient to meet deep greenhouse gas reduction goals in the United States. Demand management strategies, such as land use, transit, and auto pricing policies, are also needed. These measures, however, have historically faced political challenges and have been difficult to implement. Emerging ridesharing systems now suggest the possibility of a new demand management strategy that may be more politically palatable and reduce the number of vehicle miles traveled (VMT). To date, however, little research has evaluated their potential travel effects, especially on a regional scale. This study used the San Francisco, California, Bay Area activity-based travel demand model to simulate business-as-usual, transit-oriented development, and auto pricing scenarios with and without high, medium, and low ridesharing participation levels. The analysis suggests that relatively large VMT reductions are possible from moderate and high participation levels, but at low participation levels, VMT reductions are negligible. Moderate dynamic ridesharing alone compares favorably, with a 9% reduction in VMT, to transit-oriented development and auto pricing scenarios. The analysis also suggests a potentially promising policy combination: a moderately used regional dynamic ridesharing system with a 10- to 30-cent increase in the per mile cost of auto travel, which together may reduce VMT on the order of 11% to 19%.

01586596

16-4203

English

0000-0003-4333-3393

pp 120–126

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441469

Print

Figures (1) ; References (16) ; Tables (6)

Environmental protection; Ridesharing; Simulation; Travel demand; Vehicle miles of travel

San Francisco Bay Area

Planning and Forecasting; Public Transportation

PRP, TRIS, TRB, ATRI

Jan 12 2016 5:51PM

• Automated Sidewalk Assessment Method for Americans with Disabilities Act Compliance Using Three-Dimensional Mobile Lidar
• Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand
• Car2work: Shared Mobility Concept to Connect Commuters with Workplaces
• Designing an Automated Demand-Responsive Transport System: Fleet Size and Performance Analysis for a Campus–Train Station Service
• Development of an Employer-Based Transportation Demand Management Strategy Evaluation Tool with an Advanced Discrete Choice Model in Its Core
• Negotiation and Coordination in Carpooling: Agent-Based Simulation Model
• Prediction of Benefits of Special Taxi-Pooling Design for Large Transport Terminals: Case Study of Beijing West Railway Station
• Shaping the New Future of Paratransit: An Agenda for Research and Practice
• Spatiotemporal Pattern Analysis of Taxi Trips in New York City
• Transportation Issues of Adults on the Autism Spectrum: Findings from Focus Group Discussions
• Travel Patterns, Needs, and Barriers of Adults with Autism Spectrum Disorder: Report from a Survey
• Trying Out Mobility as a Service: Experiences from a Field Trial and Implications for Understanding Demand
• Understanding Carsharing Risk and Insurance Claims in the United States