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Abstract for presentation (Poster or Podium) with a Paper in the Conference Proceedings

Data Sensing and Analytics

Prototype Data Dashboard for Multi-Source Transportation and Community Health Data Analytics

Monday, June 17, 2024

1:30 PM - 2:45 PM ET

Room: Galleria

Primary Author(s)

Chengyue Wang

Research Assistant
Department of Civil Engineering, The University of Texas at El Paso, United States

Co-Author(s)

Chengyue Wang

Research Assistant
Department of Civil Engineering, The University of Texas at El Paso, United States
Talha Azfar

Ph.D. Student
Rensselaer Polytechnic Institute
Troy, NY, United States

Presenter(s)

Talha Azfar

Ph.D. Student
Rensselaer Polytechnic Institute
Troy, NY, United States

Co-Author(s)

RK

Ruimin Ke, n/a

Assistant Professor
Rensselaer Polytechnic Institute
Troy, New York, United States

Presenter(s)

RK

Ruimin Ke, n/a

Assistant Professor
Rensselaer Polytechnic Institute
Troy, New York, United States

Submitter(s)

RK

Ruimin Ke

Rensselaer Polytechnic Institute
Troy, New York, United States

Abstract: This study had a primary objective of creating a versatile and scalable data dashboard prototype that highlights transportation and community health data, using El Paso as a case study. The dashboard serves as a centralized hub for various data sources within the city, facilitating visual analysis to uncover the intricate connections between these two crucial domains. It's important to note that the primary aim was not to develop a final product for the city, but rather to establish a proof-of-concept, engage potential users, and conduct scenario analysis. The true impact of this study is expected to extend beyond the creation of the dashboard itself, as it has the potential to influence significant city-wide or regional policy changes based on the valuable insights derived from the comprehensive data analysis. This initiative aims to provide a robust tool for decision-makers and stakeholders to make informed choices that could ultimately benefit the community's transportation and health outcomes.

Learning Objectives:

Attendees can expect to learn the following from this session:

Understand the process of developing a customizable data dashboard prototype for visualizing transportation and community health data.
Explore the potential applications of data integration and visualization in addressing urban policy challenges.
Analyze the impact of insights derived from the dashboard on city-wide or regional policy changes.