Building a risk framework for Autonomous Vehicles (AVs) in the U.S. AV risk literature is somewhat disjointed, and I am writing a paper to bridge the gap between developers, legislators, and regulators by explicitly stating all of the necessary elements of an AV risk framework and why they are important.
Gathered survey data about cycling and fleet micromobility vehicle use habits and risk perception in the Ann Arbor, MI community. Currently working on authoring a paper analyzing this data to better understand demographic factors associated with certain use habits or risk taking behaviors and differences in fleet versus personal micromobility vehicle use.
Using Toronto's 2016 Transportation Tomorrow Survey data in conjunction with historical weather data, I am analyzing how seasonal weather impacts urban citizens' transportation mode choices. I will use the results to assess how seasonal weather impacts access to essential services, especially for those without access to cars.
Using a power infrastructure model to predict power outages in the greater Detroit area under different storm scenarios and coupling those results with a SWMM sewage model to predict power outages in the sewage system and how that impacts flooding in basements. I am working to couple these two models in order to automate the process from simulating storms to predicted flooding in basements.
I assisted on a project analyzing potential disparities in drinking water quality in Ann Arbor by analyzing real estate data from CoreLogic and water quality data using an EPANET model for Ann Arbor's water system. I gathered home location, size, age, and value data from CoreLogic to generate clusters and analyzed differences in drinking water quality between clusters based on Ann Arbor's water quality model.