I am a geospatial big data and AI nerd who likes to simulate the presence, activity, and movement of people to build mobility twins or digital replicas for smarter, sustainable, and resilient cities.
cityeconomy
Quantifying Community Vibrancy: How Somerset County Leverages CityEconomy and CityEvents AI for Economic Sovereignty The New Frontier of Municipal Intelligence and Economic Resilience The historical management of municipal economic development has long been constrained by a reliance on static indicators and qualitative anecdotes. For decades, county administrators and economic planners
CITYSENSOR
From Pixels to Precision: Perfecting ground truth surveys and elevating urban analytics with Computer Vision AI The Gold Standard of Mobility Intelligence In an era defined by rapid urbanization and the need for resilient civic planning, municipal agencies face a critical mandate: they must deeply understand how people move, interact,
Applying Location-based Big Data for Analyzing Global Events The 2025 Boston Marathon was a spectacular display of endurance, drawing over 30,000 participating runners and hundreds of thousands of spectators lining the 26.2-mile course from Hopkinton to Boylston Street. Taking place on Monday, April 21, 2025—the traditional Patriots&
citydata
About Location-Based Visits and AI Models for Usage Intelligence for Parks, Business Districts, Event Venues Municipal agencies are increasingly turning to GovTech solutions, geospatial artificial intelligence (AI), and location-based data to build smarter, more resilient cities. However, procuring the right technology requires rigorous vetting. At CityData, we welcome the hard
des moines
Estimated and Observed Monthly Visitation for 2022 & Regional Performance: An Analytical Report Executive Summary * Objective: This report presents a detailed analytical model and the resulting estimated monthly visitation counts for 99 parks and trails within the Des Moines Metropolitan Planning Organization (MPO) for the 2022 calendar year. * Data Availability
Events
The New Science of Transforming Mobility Telemetry into Real-World Event Intelligence For decades, urban planners, event organizers, and emergency management directors operated in a world of educated guesses. Understanding human movement traditionally relied on a patchwork of analog methodologies: manual turnstile clicks, scattered ticket sales, post-event surveys, and aerial photography.
citysim
Authored by Dr. Pieter Fourie with Team CityData.AI
Celebrating our 6th consecutive year alongside the industry’s giants—bootstrapped, profitable, and powered by innovation. In the rapidly evolving landscape of the public sector, technology has ceased to be a luxury—it is now the very backbone of effective governance. From small municipalities to sprawling state agencies, government leaders
customers
The Executive Playbook for Rescuing High-Value Customer Engagements Introduction: The High Stakes of Enterprise and Government Churn In the complex ecosystems of enterprise and government contracting, the loss of a customer—or churn—is not a simple line item on a balance sheet. It is a seismic event with compounding
citydata
Establishing a Baseline for Park Visits The estimation of park visitation necessitates a foundational understanding of each park's intrinsic capacity and appeal. The nine park and recreation assets in Kenosha County managed by the county system are not homogenous; they represent a diverse portfolio of recreational infrastructure, natural
crowd
CityData captures, measures, and estimates crowd sizes for large events like fireworks celebrations, farmers markets, music concerts, sporting events, religious events, political rallies and protests. CityData offers two solutions for estimating crowd size. Solution 1: CitySensor CitySensor is a ruggedized hardware sensor connected to an online dashboard for accurate real-time
crowd
CityData has studied, analyzed and evaluated the universe of computer vision AI models so you don't need to! 1. Executive Summary The accurate and automated estimation of crowd sizes, particularly in scenarios involving thousands of individuals captured from aerial platforms such as drones, helicopters, or satellites, presents a