Development of a Public-Focused Real-Time City Footfall and Parking Data Platform

The client faces difficulties in effectively presenting real-time city footfall and parking data to the public. The existing system provides valuable insights but requires redesigning for better accessibility and user engagement, along with identifying the most useful information to support informed decision-making among residents and visitors.

A municipal government seeking to enhance public confidence in city visits and support urban renewal through accessible analytics about foot traffic and parking availability.

• Redesign data presentation interfaces to be more user-friendly, welcoming, and accessible to diverse audiences.
• Conduct user research to identify key citizen needs for city visitation planning, including safety and mobility considerations.
• Develop an integrated web application providing real-time city footfall levels and parking data to help residents plan safer visits, especially during post-pandemic recovery.
• Ensure the platform remains flexible and scalable for future updates and potential expansion to other cities or regions.
• Improve public confidence in urban spaces by delivering transparent and actionable real-time information.

• Dashboard displaying current foot traffic levels in various city areas using visual indicators like heatmaps or graphs.
• Real-time parking availability map with location markers and capacity status.
• User interface designed for accessibility, including responsive layout, clear visuals, and multilingual support.
• User research-driven features to enhance decision-making, such as alerts for low or high footfall, parking shortages, or safety notices.
• Backend data ingestion from city sensors, cameras, and external data sources, with real-time updates and data validation.
• Admin interface for data management, analytics monitoring, and system configuration.

• City sensor and camera systems for foot traffic measurement.
• Parking management systems for live space availability data.
• External APIs for traffic and weather data to provide contextual information.
• User feedback and engagement tools for ongoing research and usability improvements.

• System should support at least 10,000 concurrent users with minimal latency.
• Data updates should be reflected within 30 seconds of sensor input.
• High security standards to protect data integrity and user privacy, including GDPR compliance.
• System availability of 99.9% uptime with disaster recovery measures in place.

The platform aims to significantly enhance public confidence in urban spaces by providing transparent, real-time information, leading to increased foot traffic and economic activity. It is expected to support safer city visits, reduce congestion, and promote urban renewal efforts, with a measurable improvement in visitor decision-making and city resilience during and beyond ongoing public health challenges.