Paul Waddell, Arezoo Besharati-Zadeh
arXiv 26 Nov 2020 · Econometrics · 3 citations (OpenAlex)
arXiv:2011.14924 · PDF · DOI · OpenAlex · Extracted main text
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 methods have been considered too 'black box', lacking interpretability, and their use has been limited within the land use and transportation modeling literature. We present a use case in which predictive accuracy is of primary importance, and compare the use of random forest regression to multiple regression using ordinary least squares, to predict rents per square foot in the San Francisco Bay Area using a large volume of rental listings scraped from the Craigslist website. We find that we are able to obtain useful predictions from both models using almost exclusively local accessibility variables, though the predictive accuracy of the random forest model is substantially higher.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Leo Breiman (2001) Random forests | 0.843 | 3 | 3 | 100% |
| 2 | Geoff Boeing and Paul Waddell (2017) New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings self | 0.644 | 2 | 2 | 100% |
| 3 | Marjan Ceh, Milan Kilibarda, Anka Lisec, and Branislav Bajat (2018) Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments | 0.405 | 1 | 1 | 100% |
| 4 | Ulrike Grömping (2009) Variable Importance Assessment in Regression: Linear Regression versus Random Forest | 0.405 | 1 | 1 | 100% |
| 5 | Kelvin J. Lancaster (1966) A New Approach to Consumer Theory | 0.405 | 1 | 1 | 100% |
| 6 | Geoff Boeing (2017) OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks | 0.405 | 1 | 1 | 100% |
| 7 | Leo Breiman, J. H. (Jerome H.) Friedman, Richard A. Olshen, and Char… Classification and regression trees | 0.405 | 1 | 1 | 100% |
| 8 | Fletcher Foti, Paul Waddell, and Dennis Luxen (2012) A generalized computational framework for accessibility: from the pedestrian to the metropolitan scale self | 0.405 | 1 | 1 | 100% |
| 9 | Robert Gillingham and David Lund (1970) A Hedonic Approach to Rent Determination | 0.405 | 1 | 1 | 100% |
| 10 | William H Greene (2002) Econometric Analysis | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 16 scored citations.