131 citations · 142 across the 5 of their papers we have counts for
5 papers
A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area
Paul Waddell, Arezoo Besharati-Zadeh
Urban transportation and land use models have used theory and statistical modeling methods to develop model systems that are useful in planning applications. Machine learning metho…
Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning
Pavan Yedavalli, Krishna Kumar, Paul Waddell
Abrupt changes in the environment, such as unforeseen events due to climate change, have triggered massive and precipitous changes in human mobility. The ability to quickly predict…
Architecture for Modular Microsimulation of Real Estate Markets and Transportation
Paul Waddell, Ignacio Garcia-Dorado, Samuel M. Maurer +4
Integrating land use, travel demand, and traffic models represents a gold standard for regional planning, but is rarely achieved in a meaningful way, especially at the scale of dis…
An Integrated Pipeline Architecture for Modeling Urban Land Use, Travel Demand, and Traffic Assignment
Paul Waddell, Geoff Boeing, Max Gardner +1
Integrating land use, travel demand, and traffic models represents a gold standard for regional planning, but is rarely achieved in a meaningful way, especially at the scale of dis…
New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings
Geoff Boeing, Paul Waddell
Current sources of data on rental housing - such as the census or commercial databases that focus on large apartment complexes - do not reflect recent market activity or the full s…