Critical EV decision inputs available on demand
Analyze parking and drive-by volume vs. current capacity
Trip volume at precise locations by time of day and day of week, trip distances + demographic overlay to identify cohorts likely to own EVs in the future.
Analyze grid demand based on incremental EV usage
Granular analytics, revealing peak parking times + miles driven on subsequent trip, both critical inputs to charging predictions.
Analyze personal vehicle and commercial truck activity
Evaluate infrastructure portfolios that span personal and commercial charging, using one integrated platform for personal and truck traffic.
Combine our mobility metrics to evaluate zones for new EV infrastructure
Number of trips, trip type, trip length, trip duration
Day of week, time of day for all trip metrics
Charger locations, charger types
Travel purpose, residency, demographics
Partnering with Siemens to help cities plan EV deployment
EV Charger Site Selection in Silicon Valley
StreetLight’s empirical data informs a powerful dashboard that lets city planners visualize traveler demographics and where trips start and end throughout this Silicon Valley city.READ CASE STUDY
4 Ways StreetLight’s Metrics Inform EV Charger Site Selection
Review the ways StreetLight can inform your EV charging deployment: From macro- and micro-site selection to planning for grid demand and educating the community.READ THE BLOG