Student Mobility Behavior

by Rodrigo Mesa/Satish Ukkusuri

Collecting and analyzing student mobility behaviors in a college campus (course project)

(i) Collecting student geo-location data for 4 weeks (initially) using OpenPaths, (ii) Formatting and distributing information among students (iii) Dividing students into groups, (iv) Each group is asked to present a methodology and discussion to answer the following questions (iv.a) Data Visualization: How to visualize these data? (iv.b) Semantic Place Detection: How to describe the places where activities take place using the dataset?(iv.c) Modal Preferences: How to find the transportation mode used by an individual based on the observed data? (iv.d) Discovering Mobility Patterns. Are there mobility patterns in the movements on the dataset? (v) Each group is asked to propose a new research question that can be solved using the data-set, present a methodology to answer it, and discuss the corresponding findings. (vi) Each group makes a presentation of the project to the other classmates and delivers a final report.

OpenPaths data will be used as an input for the models proposed by the students in their projects (as shown in the "Project Description" section). Likewise, it will be a source of motivation to find interesting research questions that could be solved with these data.

The use and distribution of the data-set will be supervised by prof. Satish Ukkusuri (Purdue University) which will delegate access to his immediate assistants. This group of researchers (governed by the regulations of Purdue University) will be the only with direct access to the data-set and will ensure no unauthorized access to OpenPaths data by monitoring every action associated with the data-set. Specifically, the data will be stored in a secure password-protected hard drive

We are an active research group working on mobility patterns and transportation network modeling at Purdue University. This project will help University students to understand the value of collecting mobility data from ubiquitous devices using OpenPaths. The results of the initial academic experiment will be used to write a research paper that will be present it in a related conference. Likewise, this methodology will be presented in workshops so that other researchers can replicate it.