Hao Pang is an Associate Research Scientist at the Texas A&M Transportation Institute (TTI) with over 10 years of experience in travel demand forecasting, model development, and data visualization. He holds a Ph.D. in Community and Regional Planning (transportation focus) from the University of Texas at Austin. Hao has contributed to major enhancements of TexPACK, the integrated travel demand model used by most MPOs in Texas. What’s more, his work bridges the gap between technical analysis and practical communication by designing and developing intuitive, interactive tools that translate complex transportation model outputs into accessible, meaningful insights for a wide range of users.Hao has led and contributed to the development of several innovative, HTML-based reporting and analysis applications and platforms built with open-source technologies such as JavaScript, Python, and JSON. These tools feature dynamic tables, charts, and geospatial maps that are interactive, visually engaging, and easy to interpret. Importantly, they are designed to be fully stand-alone and browser-based, enabling state Departments of Transportation (DOTs), Metropolitan Planning Organizations (MPOs), local planners, and the general public to explore sophisticated modeling results without needing to install or learn specialized transportation software.His visualization tools have been applied in real-world projects and presented at national and international transportation conferences, where they’ve been recognized for enhancing transparency, improving stakeholder communication, and supporting informed decision-making in transportation planning. Hao’s work not only advances the usability of modeling results but also promotes broader engagement with data through accessible, user-friendly platforms.

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