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灵隐寺免票需要规则与信用共建
Jing Ji Guan Cha Wang· 2026-01-29 05:55
Core Viewpoint - The Hangzhou Lingyin Feilai Peak Scenic Area will implement a free admission policy starting December 1, 2025, allowing online reservations for entry, reflecting the city's commitment to equitable access to public resources [1] Group 1: Current Situation - The free admission policy has been operational for two months, showing overall good performance but also revealing issues such as a high no-show rate among visitors [1] - Data indicates that 380,000 reservations have been made with an average no-show rate of nearly 20%, with a notable increase in daily no-shows, exemplified by 22,000 no-shows on January 3, exceeding one-third of the daily capacity [1] Group 2: Management Response - The management has not wavered in its commitment to free admission and has quickly optimized the reservation system by adjusting the cancellation deadline to 5 PM the day before entry [2] - A penalty system has been introduced where a single no-show results in a 30-day suspension of the reservation account, with cumulative penalties for multiple no-shows [2] Group 3: Systemic Challenges - The introduction of an online waiting list replaces on-site registration, aiming to streamline the process and reduce chaos at the venue [3] - The reasons for no-shows are multifaceted, including the low decision cost associated with free admission, but also the inherent uncertainties in travel plans due to various factors [3] Group 4: Social Contract and Public Responsibility - Making a reservation establishes a social contract between the individual and the management, where fulfilling the reservation is a matter of credit rather than monetary cost [4] - The initial operational phase of the free admission policy has incurred adjustment costs, but the focus is on creating a mechanism for identifying and addressing issues promptly [4] Group 5: Broader Implications - The trend of cities opening quality public spaces and cultural resources for free is seen as a significant social advancement, necessitating a shift from traditional control to a service-oriented approach [4] - Successful public policy requires not only a benevolent intent but also comprehensive and adaptable implementation strategies, supported by robust rules and collective civic responsibility [4]
不能滑向“懒政”歧途
Ren Min Ri Bao· 2026-01-23 06:31
Core Viewpoint - The implementation of appointment systems, while intended to enhance efficiency and improve user experience, has led to new challenges and inconveniences in practice [1][2]. Group 1: Positive Aspects of Appointment Systems - Appointment systems serve as an important tool for optimizing supply and demand, effectively reducing information gaps and long queues, thereby improving the utilization of public resources and enhancing user experience [1]. - The upcoming cancellation of appointment requirements for most tourist attractions in Beijing, except for major sites like the Forbidden City and the National Museum, aims to better meet the expectations of citizens and tourists [2]. Group 2: Challenges and Issues - Some locations have adopted a one-size-fits-all approach to appointment systems, leading to ineffective implementations, such as symbolic QR code scanning at low-traffic venues and blanket online booking requirements that disadvantage those unfamiliar with technology [1]. - Rigid rules, such as "full reservations only," have eliminated on-site access, failing to accommodate diverse and urgent needs of the public [1][2]. Group 3: Recommendations for Improvement - To enhance the effectiveness of appointment systems, it is essential to tailor approaches based on the specific functions and capacities of different venues, ensuring a balance between efficiency and user experience [2]. - Implementing a dual-track system of "online reservations + offline access" for essential services can provide flexibility for vulnerable groups, such as the elderly and those with urgent needs [2]. - Continuous innovation and optimization of appointment systems are necessary, including exploring mechanisms for waitlisting and establishing credit constraints for frequent no-shows [2].