双城生活“深”得“港”心

Core Insights - The implementation of the "one visa multiple entries" policy has significantly increased cross-border travel between Shenzhen and Hong Kong, with over 2.24 billion trips recorded this year, a 14.16% increase year-on-year [1][2] - The policy allows Shenzhen residents to travel to Hong Kong unlimited times within a year, enhancing tourism and cross-border consumption [2] - The introduction of smart border control technologies, such as facial recognition, has improved the efficiency of border crossings, with a 30% increase in processing speed compared to traditional methods [9][10] Group 1: Policy Impact - The "one visa multiple entries" policy was officially implemented in December 2024, allowing Shenzhen residents to visit Hong Kong multiple times within a year, with each stay not exceeding 7 days [2] - As of now, 141.7 million "one visa multiple entries" have been issued, indicating strong demand and a boost in cross-border tourism [2] - The policy has led to a notable increase in both inbound and outbound tourism, with Hong Kong's hotel occupancy rates exceeding 90% during holidays and retail and dining revenues growing by over 20% [3][4] Group 2: Cross-Border Economic Activity - The cross-border economic interaction has evolved from a one-way shopping trend to a two-way consumption model, creating a unique cross-border commercial and living circle [4] - The increase in cross-border travel has stimulated local economies, with Shenzhen's shopping options attracting many Hong Kong residents [3][4] - The establishment of the Lok Ma Chau Loop and the development of the Hong Kong-Shenzhen Innovation and Technology Park have further facilitated economic collaboration between the two regions [5][7] Group 3: Technological Advancements - The introduction of the "one channel" for cross-border personnel has reduced the customs clearance time by approximately 40%, benefiting nearly 100 research institutions and over a thousand researchers [7] - The smart border control system at Shenzhen Bay has processed over 10 million travelers using facial recognition technology, enhancing the travel experience [9][10] - A new data management platform has been developed to predict and manage cross-border traffic, achieving a 95% accuracy rate in passenger flow predictions [11]