UROP Research Mentor Project Submission Portal: Submission #1364
Submission information
Submission Number: 1364
Submission ID: 21416
Submission UUID: 2230a743-827a-40c7-9227-ef9bffb9cdce
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=shYQwLHxHDMnFCwumayKI1hhMBVd5f1yP2rm35mmvEc
Created: Tue, 10/21/2025 - 01:25 PM
Completed: Tue, 10/21/2025 - 01:48 PM
Changed: Tue, 10/21/2025 - 02:11 PM
Remote IP address: 46.110.204.20
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Yuyan Pan
she/her
yp25f@fsu.edu
Post Doc
FAMU-FSU College of Engineering
Florida State University
Additional Research Mentor(s)
Overall Project Details
Hurricane Impact on Urban Mobility: Congestion Detection and Resilience Analysis
Hurricane Evacuation, Urban Mobility, Big Data Analytics, Transportation Resilience, Traffic congestion and Bottleneck Identification
Yes
6
Open to all majors.
On FSU Main Campus
No, the project is remote
Fully Remote
6
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
This project investigates how hurricanes affect traffic flow dynamics and urban mobility systems. Using high-resolution real-world data from INRIX (which will be provided by the supervisor), we aim to understand how congestion emerges, spreads, and recovers during extreme weather events. The study will provide valuable insights into transportation resilience and emergency response. Students will gain hands-on experience in data analytics, Python programming, and interpreting mobility patterns under disaster conditions.
Students will:
Conduct literature reviews on transportation resilience and disaster response.
Process and analyze large-scale INRIX traffic datasets.
Visualize traffic congestion and recovery patterns using Python.
Identify key relationships between storm intensity and mobility impacts.
Contribute to discussions and reports summarizing findings for research dissemination.
Conduct literature reviews on transportation resilience and disaster response.
Process and analyze large-scale INRIX traffic datasets.
Visualize traffic congestion and recovery patterns using Python.
Identify key relationships between storm intensity and mobility impacts.
Contribute to discussions and reports summarizing findings for research dissemination.
Required:
Basic knowledge of data analysis and statistics
Familiarity with Microsoft Excel or Google Sheets
Interest in transportation, urban mobility, or environmental issues
Recommended:
Experience with Python (e.g., pandas, matplotlib, or Jupyter Notebook)
Familiarity with GIS tools or data visualization software
Understanding of basic concepts in transportation systems or urban planning
Basic knowledge of data analysis and statistics
Familiarity with Microsoft Excel or Google Sheets
Interest in transportation, urban mobility, or environmental issues
Recommended:
Experience with Python (e.g., pandas, matplotlib, or Jupyter Notebook)
Familiarity with GIS tools or data visualization software
Understanding of basic concepts in transportation systems or urban planning
My mentoring philosophy is to create a supportive and collaborative environment where students can explore their interests and develop research confidence. I encourage students to think critically, ask questions, and take ownership of their work. I believe in guiding them with patience and constructive feedback, helping them learn from both successes and mistakes. My goal is to help students build strong analytical and communication skills that will benefit their future academic and professional paths.
https://yuyananniepan.github.io/
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No
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UROP Program Elements
Yes
Yes
Yes
Yes
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2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=shYQwLHxHDMnFCwumayKI1hhMBVd5f1yP2rm35mmvEc