# I-Corps: Translation Potential of Artificial Intelligence-Assisted, Data-Informed Urban Planning

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of North Carolina at Charlotte (NC) · $50,000

## Abstract

This I-Corps project focuses on the development of a privacy-preserving video analytics platform that transforms existing urban camera infrastructure into a tool for generating actionable insights on public space usage and mobility patterns. The technology analyzes anonymized visual data to measure foot traffic, dwell times, pedestrian flow, and interactions with urban infrastructure in real time. These insights support data-informed urban planning by revealing how people move through and engage with parks, sidewalks, transit hubs, and commercial corridors. Unlike traditional approaches that rely on manual observation or invasive surveillance methods, this solution prioritizes ethical design, converting raw footage into de-identified, abstract representations such as heatmaps. The platform enables municipal agencies, design firms, and economic development organizations to assess the effectiveness of public infrastructure investments and optimize the use of shared spaces.

This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of an edge-based artificial intelligence system that captures behavioral and mobility trends while excluding facial, demographic, or personally identifiable information. Through direct engagement with urban planners, transportation agencies, business districts, and civil engineering stakeholders

## Key facts

- **NSF award ID:** 2526816
- **Awardee organization:** University of North Carolina at Charlotte (NC)
- **SAM.gov UEI:** JB33DT84JNA5
- **PI:** Hamed Tabkhi
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Big Data Science &Engineering
- **Estimated total:** $50,000
- **Funds obligated:** $50,000
- **Transaction type:** Standard Grant
- **Period:** 06/15/2025 → 05/31/2027

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2526816

## Citation

> US National Science Foundation, Award 2526816, I-Corps: Translation Potential of Artificial Intelligence-Assisted, Data-Informed Urban Planning. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2526816. Licensed CC0.

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