Hsinchu City Launches Upgraded 'Livable Network 3.0' with GeoAI and Cross-City Data Integration

Hsinchu City has launched its "Happy Livable Network 3.0," an upgraded platform designed to provide more intelligent and convenient geographic information services. Following the 2.0 version released in May 2023, which combined 3D mapping with actual transaction prices, the new iteration introduces GeoAI technology and the "AI Pick-a-Reporter" feature.

Mayor Kao Hung-an highlighted the platform's core principles: "easier operation, faster queries." The interface, functional layout, and mobile experience have been comprehensively optimized. The "AI Pick-a-Reporter," a national first, utilizes generative AI to transform the city's mascot into a 24-hour smart service assistant. Users can ask questions in natural language, and the system will quickly locate land parcels and provide relevant property information within 10 seconds, significantly lowering the barrier to accessing geographic data.

Addressing the demand for cross-administrative region land data, Hsinchu City collaborated through the Taoyuan-Hsinchu-Miaoli regional governance platform. With support from Taoyuan City and Miaoli County, the platform now integrates land data from these areas, creating the "GeoLink" platform. This cross-regional integration allows users to access information on land registration, actual transaction prices, land use, and property markets through a single portal.

The service area has expanded from Hsinchu City's approximately 600,000 residents to the 4 million people in the Taoyuan-Hsinchu-Miaoli metropolitan area, a 6.3-fold increase. This expansion aims to build a convenient smart living circle for the region. The upgraded network also enhances the integration of 3D building data, linking city-wide building models with registration, construction, and usage permits to display details like building structure, age, height, and type. By integrating de-identified population data, it visualizes community demographics and property ownership, extending its application beyond simple queries to urban planning, disaster response, social welfare resource allocation, and public construction decision-making.