大数据+AI在住房租赁的应用

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国务院公布《住房租赁条例》:严禁虚假房源,增加租赁住房供给
Guan Cha Zhe Wang· 2025-07-22 03:48
Core Points - The State Council of China has announced the implementation of the "Housing Rental Regulations," which will take effect on September 15, aiming to standardize the housing rental market and enhance supervision [1][2][3] Group 1: Overall Requirements - The regulations emphasize the need for a combination of market-driven and government-guided approaches to develop the housing rental market, encouraging multiple channels to increase rental housing supply and fostering market-oriented, professional rental enterprises [1][2] Group 2: Standardization of Rental Activities - The regulations stipulate that rental properties must comply with safety and health standards, and non-residential spaces cannot be rented out for living purposes. Both landlords and tenants are required to sign rental contracts under real names [1][3][4] Group 3: Housing Rental Enterprises - Housing rental enterprises must provide accurate and complete property information, establish rental archives, and maintain internal management systems. Those engaged in subleasing must set up regulatory accounts for rental funds [1][5] Group 4: Brokerage Institutions - Brokerage institutions are required to verify and record the identity of clients and property ownership before publishing rental information, and they must provide clear pricing for their services [2][5] Group 5: Supervision and Accountability - Local governments are mandated to establish rental price monitoring mechanisms and implement graded supervision based on credit status for rental enterprises and their personnel. Strict legal responsibilities are outlined for violations by landlords, tenants, rental enterprises, and government officials [2][3] Group 6: Market Opportunities - Experts believe the regulations will help curb issues like false listings and inflated rents, leading to a new phase of institutional operation and quality upgrades in the rental market. The focus will be on revitalizing existing assets and utilizing data and AI to optimize property management and pricing strategies [6]