Doctoral student creates open-source tool for localized urban data collection
Henry Levesque, a doctoral student at the University of Cincinnati, is developing an open-source system to gather highly detailed environmental information for specific neighborhoods.
New approach to smart city data
Levesque argues that large-scale datasets often lack the detail needed to understand how people experience a place. His research centers on a low-cost system that allows individuals to collect information about their immediate surroundings. This platform uses inexpensive, off-the-shelf components to gather data at a much smaller scale than traditional methods.
Focus on specific environmental questions
The tool is designed to answer questions regarding temperature on a particular block or conditions along a sidewalk. Levesque stated that users do not need an entire city dataset if they only want data for a specific intersection. Instead, he enables people to create their own datasets with better granularity for local analysis.
Reported by one outlet
Only one outlet has published this. Nothing here has been checked against a second report, so read it as that outlet's account and follow the link below for the original.
Reported by
1 independent outlet. Headline as published. Links open the original report.