Why are smart scenic spots not smart? An in-depth interpretation from a cultural and tourism analyst

"Smart scenic spots" have become a hot topic in recent years, but many tourists and industry insiders feel that many scenic spots have only put on the "smart" coat, and there is still a big gap from true intelligence.

I will analyze the reasons why "smart scenic spots are not smart" from the following aspects, and try to propose some solutions:

1. Current situation analysis: common problems

1. "Emphasis on construction, neglect of operation": Many scenic spots have invested a lot of money in building hardware facilities, such as sensors, cameras, networks, etc., but have neglected the construction, operation and maintenance of software platforms, resulting in the inability to effectively integrate and utilize data, and the hardware facilities are just for show.
2. Serious "information island" phenomenon: The internal systems of the scenic spot lack interconnection and data cannot be shared, resulting in a fragmented tourist experience. For example, services such as ticket purchase, tour guide, parking, and catering are independent of each other, and tourists need to frequently switch between different applications, which is very inconvenient.
3. Lack of in-depth mining of tourist needs: Many scenic spots simply move offline services online, and do not use data analysis technology to deeply understand tourist needs and provide personalized and customized services.
4. Neglecting to empower management and services: The goal of building a smart scenic spot is not only to enhance the tourist experience, but also to optimize the management efficiency of the scenic spot and improve the quality of service. However, many scenic spots have not fully considered these aspects in the process of intelligent construction.

2. Constructive solutions: solving problems from the root

1. Change concepts and be tourist-centered: The construction of smart scenic spots must always be guided by the needs of tourists, and the ultimate goal is to enhance the tourist experience, rather than simply pursuing the accumulation of technology.
2. Pay attention to top-level design and build an integrated platform: Overall planning should be carried out in the early stage of construction to avoid "information islands", create a unified platform, integrate internal and external resources of the scenic spot, and achieve data sharing and business collaboration.
3. Use data analysis to provide personalized services: Collect and analyze tourist data, accurately profile tourist groups, provide personalized recommendations, customized routes, intelligent customer service and other services to improve tourist satisfaction.
4. Empower management and services to achieve cost reduction and efficiency increase: Use intelligent means to optimize the management process of scenic spots and improve work efficiency; at the same time, use data analysis to optimize scenic spot services, improve service quality, and achieve cost reduction and efficiency increase.

3. Monitoring and evaluation: ensuring the implementation of intelligence

1. Establish a sound evaluation system: Formulate a scientific and reasonable evaluation index system to conduct a comprehensive evaluation of the construction of smart scenic spots, and find and adjust problems in a timely manner.
2. Strengthen data monitoring and analysis: Real-time monitoring of key indicator data, such as the number of tourists, satisfaction, consumption levels, etc., and use data analysis technology to evaluate the effectiveness of intelligent construction.
3. Continuous optimization and iteration: According to the monitoring and evaluation results, continuously optimize and iterate the smart scenic spot solutions to ensure that the intelligent construction continues to empower the development of the scenic spot.

Summary

The construction of smart scenic spots is a systematic project that requires the joint efforts of scenic spots, governments, technology companies and other parties. Only by truly being tourist-centered, paying attention to top-level design, and being data-driven can we create truly intelligent scenic spots and achieve high-quality development of scenic spots.