StreetLight Data forms M2 Initiative to measure traffic interaction
StreetLight Data forms M2 Initiative to measure traffic interaction
Mobility analytics company StreetLight Data has launched its Multimodal Measurement Initiative (M2 Initiative) to measure the way various modes of travel interact. The company says it is developing new analytics that describe the behaviour of each transportation mode individually.
The project will assess the interaction between trips made by personal vehicles, public transit, walking, biking, commercial trucks and gig economy trips made by on-demand rideshare and delivery drivers.
For the first phase
June 11, 2018
Read time: 2 mins
Mobility analytics company StreetLight Data has launched its Multimodal Measurement Initiative (M2 Initiative) to measure the way various modes of travel interact. The company says it is developing new analytics that describe the behaviour of each transportation mode individually.
The project will assess the interaction between trips made by personal vehicles, public transit, walking, biking, commercial trucks and gig economy trips made by on-demand rideshare and delivery drivers.
For the first phase, the M2 Initiative will focus on bicycle, pedestrian, bus, train and gig economy driving such as ride-hailing apps and delivery applications like Grubhub and Postmates.
Laura Schewel, StreetLight Data’s CEO, says: “We must measure all of these new variables separately and together, in order to effectively manage them.”
StreetLight Data is also building a working group to collaborate on the issue. M2 Initiative partners include providers of mode-specific data sets, public agencies who want to lead in measuring new modes, academic institutions and private transportation firms who are exploring new business models. More information is available at: %$Linker: 2External<?xml version="1.0" encoding="utf-16"?><dictionary />000link-external www.streetlightdata.com/multimodal-measurement-initiativefalsehttps://www.streetlightdata.com/multimodal-measurement-initiative+falsefalse%>.