Social Sciences: Transportation Planning

Department: Urban and Environmental Planning

Supervising Faculty Member: Andrew Mondschein

Specialization: Transportation Planning

Research Focus: This research project demonstrates a smart, connected cities approach to transportation system planning and design, using mobile, wearable sensing of environmental data to allow community members to actively participate in making urban mobility healthier and more sustainable.  Based in the City of Charlottesville, local residents will capture environmental data such as air quality and light levels as they travel using sensor technology, and these data will be used to develop person-level and community-level exposure analyses.  The results used to inform planning, design, and capital spending on transportation systems in the City.

Position Description: The undergraduate research assistant will work on two aspects of the project: (1) coordinating the public outreach component of the project, assisting with participant recruitment and usage of sensing equipment, and (2) the development and testing mobile environmental sensing equipment based on small-scale computer platforms (eg. Raspberry Pi or Arduino).

Required skills: Interest in community-based research and new sensing technologies, comfort interacting with community members, intellectual curiosity and self-motivation.

Computer software: Python programming language is helpful but not required.

Training/certification: Training received in coding would be helpful but is not a requirement.

What you will learn: Research in a community-based context, technical and intellectual experience with urban sensing and Smart Cities/Internet of Things, development of coding skills, research-oriented writing