Open Data portal containing housing data from realtor.com and additional city information. Users can choose to view aggregated housing data from the realtor.com residential listings database or market analysis metrics from realtor.com market hotness index. We enrich this data with US Census demographic data and geometric shp files. Users can… read more
Community Hub for Smart Mobility (CHSM)
The goal of this project is to develop, implement, and evaluate a Community Hub for Smart Mobility (CHSM) to solve the job/housing mismatch in US cities. The research team will focus on Georgian Acres, a historically under-resourced neighborhood in northeast Austin, Texas and work with multiple civic partners to address… read more
Austin AI Housing Analysis
A lack of affordable housing is a major problem in US cities from the Bay Area to Boston. Austin is no exception. In 2015, the Austin-Round Rock metropolitan area was named one of the most economically segregated areas in the country. With more people moving to the region – roughly… read more
AI Image Generation for Architecture Design
This project allows users to create unique images depicting architecture and design to assist with the idea creation process. Architects often need to create novel, never-before-seen designs for buildings, landscapes, and interiors. With so many existing buildings in the world, it can be difficult to come up with truly unique… read more
UIL Researchers @ Global Sandpit
The UKRI Trustworthy Autonomous Systems Programme is the UK’s flagship multi-disciplinary research programme that looks to address the challenge of developing best practices for the design, operation, and governance of trusted and trustworthy autonomous systems for the benefit of society. One of its goals is to establish international collaborations that… read more
Making the most out of sparse data: the case of travel demand calibration
Urban traffic simulators are used by cities worldwide to inform their transportation planning and operations. We discuss the main challenges in the calibration of inputs for stochastic microscopic urban traffic simulators. In particular, we focus on the calibration of travel demand or origin-destination matrices (ODs). The problem is underdetermined, we… read more
Making the most out of sparse data: the case of travel demand calibration
Urban traffic simulators are used by cities worldwide to inform their transportation planning and operations. We discuss the main challenges in the calibration of inputs for stochastic microscopic urban traffic simulators. In particular, we focus on the calibration of travel demand or origin-destination matrices (ODs). The problem is underdetermined, we… read more
Active Fire Incident Map
This project provides active fire incidents of every major city on an interactive map. The tracker is updated in almost real-time from all over the nation. This live tracker updates with the latest smoke runoff from each fire, keeping you well informed and out of danger, as well as keeps… read more
An Intersectional Take on the Future of Mobility
Urban life has been increasingly grounded in mobilities as technological advances induce faster, cheaper, and more seamless mobility options. However, people’s experiences of such advances are shaped by their race, gender, class, other socially constructed dimensions, and the intersections of these dimensions. Despite the growing popularity of intersectionality lens, quantitative… read more
An Intersectional Take on the Future of Mobility
Urban life has been increasingly grounded in mobilities as technological advances induce faster, cheaper, and more seamless mobility options. However, people’s experiences of such advances are shaped by their race, gender, class, other socially constructed dimensions, and the intersections of these dimensions. Despite the growing popularity of intersectionality lens, quantitative… read more
