Team: Sean Qian (Pittsburgh PI, CMU), Jiachao Liu (CMU), Tao Tao (CMU), collaborating with LACI, NREL, USC

Funding source: NSF, US DOE

Start/End time: 2021-2024

 

The project team will develop the modeling tools and end user survey research to integrate with computer vision/occupancy detection technologies/tools deployed in curb management pilot demonstrations in Santa Monica’s ZEDZ, the Los Angeles Zero Emissions Curb Pilot, and Pittsburgh Curb Pricing Pilot. Moreover, this period will focus on the development of foundational stakeholder relationships that will inform project metrics and feedback throughout the project. The team will utilize pilot results and other data to model meso- and macro-system impacts. NREL will leverage the Mobility Energy Productivity (MEP)[1] and related metrics to assess the pilots’ impacts, especially in identified DAC and EJ areas. These models, along with coordination with local government partners and community-based organizations (CBOs), will help with scale up location selection and identify curb management strategies for testing.  A projected 200 cameras will be installed in Pittsburgh and LA areas, including control and treatment curbs.

 

[1] MEP enables a holistic view of potential improvements to community mobility from curb management and zero emission delivery such as: reduced travel times; improved access to jobs; reduced energy use; and more affordable access to goods and services at the curb.