正值暑期旅游旺季，各景区热门打卡点排队拍照问题成为关注焦点，在一些人气高的打卡地排队拍照，少则等待半小时，多则两三小时，有不少游客反映， 这让原本轻松愉快的旅游体验大打折扣。为此，一些景区推出了"限时拍照"措施。有的限时30秒，有的限1分钟，有的限5分钟。这些措施也引发了广泛热 议，支持者称限时拍照可提升打卡点流通效率，缩短游客等待时间。但也有一些游客认为，限时拍照违背自由体验的初衷，尤其限制了摄影爱好者的创作。 景区的此类尝试能否真正破解难题？在"满足游客体验"与"保障景区秩序"的两难抉择之间又该如何平衡？ 限时5分钟拍照 南昌八一广场设拍摄区 暑期，国内旅游市场升温，热门打卡点排队拍照成常态，为了能够有效提高打卡点的流通效率，近日，南昌八一广场专门设置了"C位"的拍摄区域，区域内 限时5分钟拍照。南昌市广场事务中心八一广场管理所所长汪祖斌向记者表示，围出了一块区域供游客排队有序免费拍照打卡，旁边还设有五分钟倒计时显 示屏。现在人流量多，每天高峰时段游客都需要排队进去。 南昌市广场事务中心八一广场管理所所长 汪祖斌：我们在高峰时间段晚上的7点到11点，在地铁八一广场站的2号和3号出口之间，围了一个约为40平 ...

Core Viewpoint - The article discusses the implementation of "time-limited photo" measures at popular tourist spots in China to manage long queues and enhance visitor experience during the peak summer travel season [1][5][12]. Group 1: Tourist Experience and Management Measures - Popular tourist destinations in China are experiencing high visitor volumes, leading to long wait times for photo opportunities, sometimes exceeding two hours [1]. - To address this issue, various scenic spots have introduced "time-limited photo" policies, with time limits ranging from 30 seconds to 5 minutes, aimed at improving the flow of visitors and reducing wait times [1][10]. - The management at Nanchang's Bayi Square has created a designated photo area with a 5-minute limit, supported by staff to maintain order and assist visitors [2][5]. Group 2: Public Reception and Feedback - Many citizens have expressed positive feedback regarding the designated photo areas, appreciating the organized approach that reduces wait times and improves the overall experience [5]. - However, some visitors have voiced concerns that these time limits may hinder creative expression, particularly for photography enthusiasts [1][12]. Group 3: Broader Implications and Future Considerations - The introduction of "time-limited photo" measures reflects a broader challenge for tourist attractions in balancing visitor satisfaction with operational efficiency [12]. - Experts suggest that these measures should be data-driven and adaptable, allowing for adjustments based on real-time visitor flow and peak times to optimize the experience further [12][13].