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1. Connected Infrastructure – Integration of technology into roads, parking, transit, and utilities to enhance performance and communication.
2. Data-Driven Decision Making – Real-time data collection and analytics support dynamic urban management.
3. Resident-Centered Design – Improves mobility, safety, and quality of life through smarter services and responsive environments.
4. Cross-Sector Coordination – Smart city systems require collaboration between public agencies, private developers, and tech partners.
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1. Intelligent Transportation Systems (ITS) – Planning for adaptive signal controls, smart parking, and real-time traveler info.
2. Sensor-Based Parking & Curb Management – Designing and modeling systems that monitor availability, turnover, and enforcement.
3. Multimodal Integration – Supporting seamless coordination between transit, micromobility, rideshare, and pedestrians.
4. Geospatial & Predictive Analytics – Using GIS, traffic modeling, and sensor data to inform proactive planning.
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1. Pilot Projects & Testbeds – Rolling out smart infrastructure in high-impact zones like downtowns, campuses, or stadium districts.
2. Scalable Infrastructure Planning – Designing systems with flexible frameworks that allow for future expansion.
3. Public Engagement & Transparency – Ensuring community buy-in through dashboards, real-time feedback loops, and equity-driven planning.
4. Resilience & Sustainability – Integrating climate adaptation, energy efficiency, and long-term maintenance into smart infrastructure investments.
