01554351

Component

https://doi.org/10.3141/2502-14

To anticipate the impacts of electric vehicle (EV) charging on grid systems and the effectiveness of demand response measures for load control, it is critical to understand the determinants of EV charging demand. Previous research suggests that these determinants include both observable patent metrics of travel demand and less easily measurable triggers of charging decisions (such as range appraisal or habit). Nevertheless, analyses accounting simultaneously for both aspects are lacking. Data are used from a survey administered to EV drivers participating in the Low Carbon London EV trial to explore charging decision triggers to test their predictive power of observable metrics of charging demand, while controlling for variability in travel patterns. Results show that charging demand is significantly affected by travel pattern metrics as well as charging decision triggers.

01582849

15-5196

English

pp 116–123

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369237

Print

Figures (1) ; References (14) ; Tables (5)

Behavior; Decision making; Demand; Drivers; Electric vehicle charging; Surveys; Travel demand; Travel patterns

London (England)

Energy; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Dec 30 2014 1:44PM

• Assessment of Energy Consumption by Liquefied Natural Gas Carriers and Impact of Improving the Energy Efficiency on Natural Gas Supply Chain
• Considerations to Establish Ground-Borne Noise Criteria to Define Mitigation for Noise-Sensitive Spaces
• Correlation of Noise Measurement Types in the Arizona Quiet Pavement Pilot Program
• Driver Response to Hydrogen Fuel Cell Buses in a Real-World Setting: Study of a Northern California Transit Bus Fleet
• Effect of Improving Vehicle Fuel Efficiency on Fuel Tax Revenue and Greenhouse Gas Emissions
• Electric Vehicle Fast Charger Planning for Metropolitan Planning Organizations: Adapting to Changing Markets and Vehicle Technology
• Evaluating Pavement and Barriers for Noise Mitigation: Applying NCHRP Project 10-76 Methodology to State Project–Based Examples
• Evaluation of Force Density Levels of Light Rail Vehicles
• Experimentation and Innovation in Advance Mitigation: Lessons from California
• Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization
• Greenhouse Gas Impact of Ridership on Sheppard Subway Line, Toronto, Canada
• Implications of Modeling Range and Infrastructure Barriers to Adoption of Battery Electric Vehicles
• Modeling Joint Charging and Parking Choices of Electric Vehicle Drivers: Decentralized Control Approach for Charging Service Providers
• Multistage Optimization of Sustainable Supply Chain of Biofuels
• Policy Making Should Consider Time-Dependent Greenhouse Gas Benefits of Transit-Oriented Smart Growth
• Woody Biomass Supply, Economics, and Biofuel Policy: Maine and Northeastern Forests