Managing Director, C2SMART Center
Shri Iyer serves as the Managing Director for the C2SMART Center. He oversees the operations of the center as well as agency outreach and strategic planning of the center. Prior to joining C2SMART, Shri worked at MTA New York City Transit on promoting data-driven policy and analysis within the agency. He is also experienced in working with other agencies in the New York area, and brings with him extensive knowledge of the regional transportation system. His main interest is in harnessing innovation in the tech industry and research towards solving problems in transportation and cities.
New York University, Robert F. Wagner School of Public Service 2020
Master of Public Administration, Public Service Leaders
Rutgers University 2009
Master of Science, Civil (Transportation) Engineering
Rutgers University 2007
Bachelor of Science, Civil Engineering
Rutgers University, RITS Lab
From: June 2007 to March 2013
MTA New York City Transit
Principal Transportation Planner
From: March 2013 to July 2017
Impact of COVID-19 behavioral inertia on reopening strategies for New York City transit
This research was led by Joseph Chow, deputy director of the C2SMART University Transportation Center at NYU Tandon. Co-authors included Kaan Ozbay, Director, and Shri Iyer, Managing Director of C2SMART. Chow and Ozbay are professors in the department of Civil and Urban Engineering.
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and raised new challenges for public transit. Cities are grappling with what policies can be effective for a phased reopening shaped by social distancing.
The C2SMART researchers used a baseline model for pre-COVID conditions to create a new model representing travel behavior during the COVID-19 pandemic. They achieved this both by recalibrating the population agendas to include work-from-home, and by re-estimating the mode choice model (to fit observed traffic and transit ridership data) for the Center’s MATsim-NYC platform, a multi-agent simulation test bed for evaluating emerging transportation technologies and policies. They then analyzed the increase in car traffic due to the phased reopen plan guided by the state government of New York.
Analyzing four reopening phases and two reopening scenarios (with and without transit capacity restrictions), they found that a reopening with 100% transit capacity may only see as much as 73% of pre-COVID ridership and an increase in the number of car trips by as much as 142% of pre-pandemic levels. They also discovered that limiting transit capacity to 50% would decrease transit ridership further from 73% to 64% while increasing car trips to as much as 143% of pre-pandemic levels.
They noted that, while the increase appears small, the impact on consumer surplus is disproportionately large due to already increased traffic congestion. Many of the trips also get shifted to other modes like micromobility.
The findings imply that a transit capacity restriction policy during reopening needs to be accompanied by (1) support for micromobility modes, particularly in non-Manhattan boroughs, and (2) congestion alleviation policies that focus on reducing traffic in Manhattan, such as cordon-based pricing.
- Joseph Chow,
- Kaan Ozbay,
- Shri Iyer