Joshua Harrington Davidson

(he/him/his)

  • Visiting Instructor of Data Science

Areas of Study

Education

  • BA, Oberlin College, 2012

  • MCP, University of Pennsylvania, 2017

Biography

Joshua Davidson is Visiting Instructor of Data Science at Oberlin College and a doctoral candidate in the Department of City and Regional Planning at the University of Pennsylvania. Josh teaches on the topics of data science, geographic information systems/spatial analysis, quantitative methods, and transportation justice. His research focuses on three major topic areas: transportation equity, the geography of urban transportation, and the application of advanced spatial/statistical methods. He has recently published papers that look at the effect of the Covid-19 pandemic on bikeshare use across diverse populations, the opportunities afforded by new transit service for social interaction, and the use of machine learning approaches to analyze equity issues in existing transportation networks. He is currently conducting a study on the effect of residential displacement on commute patterns for low-income households.  

  • Data Science

  • Spatial Analysis/GIS

  • Quantitative Methods

  • Transportation Geography

  • Spatial Justice

  • Davidson, J., Nam, S., Karam, S., Karoma, F., Kim, E., and Ryerson, M. (2022). “New Equity Inputs to Prioritize Bikeshare Infrastructure Allocation: Learning from the COVID-19 Period,” Transportation Research Record: Journal of the Transportation Research Board (June). https://doi.org/10.1177/03611981221098390.

  • Davidson, J., Lee, S., Kim, E., Nam, S., and Ryerson, M. (2022). “New Route, New Faces?: Measuring Changes in the Exposure to Diversity on Transit using Social Interaction Potential,” Journal of Transport & Health 24 (March). https://doi.org/10.1016/j.jth.2022.101336.  

  • Davidson, J., Feiglin, I. and Ryerson, M. (2021). “Spatially-Oriented Data, Methods, and Models to Plan Transit for Reverse Commuters.” Transportation Research Part D: Transport and Environment 100 (November). https://doi.org/10.1016/j.trd.2021.103051.

  • Davidson, J., and Ryerson, M. (2021). “Modeling Regional Disparity and the Reverse Commute.” Transportation Research Part A: Policy and Practice 150 (August): 124–39. https://doi.org/10.1016/j.tra.2021.06.005.

  • Dwight D. Eisenhower Transportation Fellowship, Federal Highway Administration

  • University Transportation Center Student of the Year (CM2), U.S. Department of Transportation

Fall 2022

Space, Place, and Transportation Justice — FYSP 082

Spring 2023

Introduction to Data Science — CSCI 144

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