Workshop on a Community Testbed to Support Micromobility Research

Agenda (Tentative)
Friday, June 18th 2021, 09:00am-12:45pm (CDT)

Time Topic
9:00 am – 9:05 am Welcome and Introductions
Murtuza Jadliwala
9:05 am – 9:15 am ScooterLab Overview
Anindya Maiti
9:15 am – 9:30 am ScooterLab Progress
Raveen Wijewickrama
9:30 am – 10:00 am Lightning Talks
Chaired by Anindya Maiti
  • Dr. Dillon Fitch - Current and Future E-Scooter Mode Substitution: Measurements and Outcomes
  • Dr. Mauricio Gomez - IoRT Cloud Survivability Framework for Autonomous Systemss
  • Dr. Terry Benzel - Testbeds for Cybersecurity Experimentation and Tests
  • Mohammad Alattar - Modelling Cyclists' Route Choice Using Strava and OSMnx: A Case Study of The City of Glasgows
  • Dr. Will Barbour - Micromobility Research Efforts in Nashville, TNs
  • Dr. Wenwen Zhang - What Type of Infrastructures Do E-Scooter Riders Prefer? A Route Choice Models
  • Dr. Louis Merlin - A Segment-Level Model of Shared Electric Scooter Origins & Destinationss
  • Dr. Clinton Andrews - Making Micromobility Safers
  • Dr. Kevin Krizek - The Need to Change Streets to Support the 20 Minute City
  • Ray Atkinson - Can Scootershare Work in Suburbia?
  • Dr. Junghwan Kim - The Impacts of Geomasking on Travel Time Estimation Errorss
  • Dr. Jacob Yan - Do E-Scooters Fill Mobility Gaps and Promote Equity? A Spatiotemporal Analysis Using the GBFS Datas
  • Dr. Grant McKenzie - Extracting Mobility Signatures for Actionable Urban Insights
  • Dr. Greg Griffin - Micromobility and Smartphone Internet Access in the US
  • Dr. Murtuza Jadliwala - Security and Safety Challenges in Modern Micromobility Systems
  • 10:00 am – 10:10 am Break  
    10:10 am – 11:10 am Breakout Theme #1:
    development, and deployment.
    Chaired by Murtuza Jadliwala
    Breakout Theme #2:
    Customizable data collection
    and research enabled.
    Chaired by Anindya Maiti
    11:10 am – 11:30 am Graduate Student Poster Session
    Chaired by Raveen Wijewickrama
  • Nitesh Shah - Why Do People Take E-Scooter Trips?
    Big Data & Unsupervised Machine Learning Insights on Temporal & Spatial Usage Patterns
  • Nisha Vinayaga Sureshkanth - Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing
  • Jeffrey Jobe - Bike Share System & User Responses to COVID-19
    11:30 am – 12:30 pm Breakout Theme #3:
    Research data publication
    best practices.
    Chaired by Greg Griffin
    Breakout Theme #4:
    Data analysis and visualization.
    Chaired by Murtuza Jadliwala/Anindya Maiti
    12:30 pm – 12:45 pm Final Remarks
    Greg Griffin