Online Program Home
  My Program

Abstract Details

Activity Number: 50 - Machine Learning and Statistical Inference: Building Breiman's Bridge
Type: Invited
Date/Time: Sunday, July 30, 2017 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #322028 View Presentation
Title: Urban Analytics Using Tree Models
Author(s): Shane Jensen*
Companies: The Wharton School, University of Pennsylvania
Keywords: urban ; regression ; trees

Throughout history there have been many perspectives on the approach to planning cities, with a notable clash between dense, organically­ formed urban spaces and suburban space planned around the automobile. Urban data analysis has been recently improved through publicly available high resolution data, allowing us to empirically investigate urban design principles of the past half­ century. We are currently focussed on the analysis of local neighborhood features, including crime, land use, zoning, business and population demographics. We employ tree-based modeling strategies since the relationships between these factors are potentially non-linear, which complements more traditional linear regression approaches. Philadelphia is an interesting case study for this work, with its rapid urban development in the last decade.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2017 program

Copyright © American Statistical Association