How a Hong Kong Luxury Estate Saved Over HK$1 Billion by Replacing Traditional Renovations with Data-Driven Maintenance

Hong Kong's luxury estate Residence Bel-Air saved an estimated HK$1.057 billion in projected renovation costs by replacing the traditional "大維修" (large-scale renovation) model with a data-driven preventive maintenance system called Homegevity™. The program, developed and led by former AsiaWorld-Expo CEO Allen Ha (Ha Wing-on, MH), meant that the estate's 2,775 homeowners collectively avoided roughly HK$380,000 per household in future large-scale renovation expenses .

How Bel-Air saved over HK$1 billion

The breakthrough came from shifting existing management fees already allocated for preventive maintenance into a technology-led program, requiring zero additional spending from owners . The key technologies and methods include:

• Building big data & IoT sensors – Continuous real-time monitoring of structural, mechanical, electrical, civil engineering, façade, and common facility conditions .
• Multiple diagnostic testing methods – Regular health checks across all building systems, identifying issues early before they escalate .
• Lifecycle-based precision maintenance – Repairs and replacements are timed according to each component's actual usage cycle rather than a fixed calendar, eliminating unnecessary wholesale equipment replacement .
• "Building doctor" (樓宇醫生) model – Dedicated professionals continuously monitor building health, analogous to regular medical check-ups for humans, aiming for "long-term immunity" against degradation .

The result: the estate eliminated the need for any disruptive, costly large-scale renovation when buildings reach roughly 30 years of age, a stage where most Hong Kong residential properties face crisis-level repair bills .

The "Homegevity" model explained

Homegevity is a portmanteau of "Home" and "Longevity" (長久安居樂業), coined by Allen Ha, a resident of Bel-Air who was invited by the estate's owners in 2022 to lead the initiative . It is a science-based, technology-driven property asset management framework that turns building maintenance from a reactive, crisis-driven expense into a proactive, data-optimized investment.

Key elements of the model:

• Data-driven decision-making – Every maintenance action is guided by empirical data from sensors, inspections, and diagnostic tools, not by guesswork or fixed schedules .
• Infrastructure-grade tech for residential use – Ha argues that the same sophisticated asset management systems used for major infrastructure projects (airports, exhibition centers) can — and should — be applied to private housing estates .
• Zero incremental cost – The program is funded purely by redirecting existing management fee reserves already earmarked for maintenance, with no additional levy on owners .
• Value preservation & appreciation – Beyond cost avoidance, the model maintains the building in optimal condition, supporting long-term property value and even appreciation .

Scalability and vision

Ha believes Homegevity is most applicable to estates with a building age of 20 years or younger and a wide variety of facility types, and he hopes the model can be introduced at the time of occupancy to preempt deterioration entirely . The initiative was launched publicly in August 2026 alongside a seminar series with Hong Kong University of Science and Technology, aiming to spread the methodology across Hong Kong and other cities facing urban decay .

In short, Bel-Air proved that continuous, tech-enabled precision maintenance can completely eliminate the need for the traditional "big renovation" — saving homeowners over a billion dollars and offering a replicable blueprint for aging buildings city-wide.