Ghost Bike

Ghost Bikes

2017

Lauren Fox (Cultural Anthropology) and Elizabeth Ratliff (Statistics, Global Health) spent ten weeks analyzing and mapping pedestrian, bicycle, and motor vehicle data provided by Durham’s Department of Transportation. This project was a continuation of a seminar on “ghost bikes” taught by Prof. Harris Solomon.

Project Results: After extensive data cleaning and consultation with Transportation planners, the team used QGIS to create an R Shiny app that allows users to view and interact with crash maps, as well as understanding them against a backdrop of variables such as time-of-day, weather conditions, and sociodemographic factors.

The team was able to make a series of data-driven policy recommendation to their community partners.

Partially sponsored by an NSF CAREER Award and by the Franklin Humanities Institute Health Humanities Lab

Click here for the Executive Summary

Faculty Lead: Harris Solomon
Project Manager: Collin Mueller, Ph.D. candidate in Sociology

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Related People

Statistics, Global Health

Cultural Anthropology

Related News

iiD’s Ghost Bikes Data+ team created an interactive website that demonstrates how factors such as the time of day, weather conditions and demographics affect crash risk.

This summer, a team of Duke students partnered with Durham’s Department of Transportation to analyze and map pedestrian, bicycle and motor vehicle crash data.