At six in the morning, the lights of Hongyadong in Chongqing have not completely faded, the mist in Enshi Grand Canyon in Hubei is just beginning to rise, and the grasslands of Ordos in Inner Mongolia are being moistened by the morning dew. These three seemingly distant geographical coordinates are now quietly connected in the digital world through a dynamic data stream named "Grasslands, Gorges, and Mountain City."

"We monitored that last weekend, over three thousand tourists departing from Ordos had itineraries covering both Enshi Dixin Valley and Chongqing's Ciqikou," the project's technical lead told a reporter in a data command center in Chongqing's Liangjiang New Area, pointing to a real-time scrolling visual map. Light points on the screen flowed like a galaxy, outlining an invisible tourism artery spanning grasslands, gorges, and a mountain city.

This is no coincidence. Over the past year, an analytical model based on cross-regional tourist behavior big data has been quietly changing the cultural tourism collaboration model between the upper and middle reaches of the Yangtze River and the northern grasslands region. The "Grasslands, Gorges, and Mountain City" project is the core driver of this transformation. It is not a specific app or platform but a data sharing and analysis alliance jointly built by the cultural tourism departments, transportation operators, and internet platforms of the three regions.

"Traditional tourism recommendations are about 'guessing what you like,' while what we are doing now is 'knowing what you need,'" the director of the Enshi Prefecture Cultural Tourism Bureau's Data Center showed a reporter an analytical report. By analyzing massive amounts of anonymous data generated by Ordos tourists in searches, bookings, stays, consumption, and social sharing, the system found that grassland tourists showed unusually high interest in the combination of "geological wonders" and "mountain city nightscapes." Consequently, a customized cross-province route of "Grasslands-Gorges-Foggy City" was created, with supporting transportation connections and specialty dining packages launched simultaneously.

The value of big data goes beyond attracting visitors. At the Xiangshawan Scenic Area in Ordos, managers adjusted the traditional grassland Nadam performances to the evening and added a Sichuan-Chongqing flavor snack zone based on data insights showing that Chongqing tourists prefer "summer retreats" and "nighttime activities" during the summer. This extended the average stay time of summer tourists by 1.8 hours. Meanwhile, Chongqing hotpot restaurants, based on feedback from taste data of northern tourists, fine-tuned their spiciness levels and launched a limited-time combo of "grassland lamb + Chongqing hotpot base," which became a hit.

However, behind data connectivity lie complex challenges. "The hardest part is not the technology but breaking down data barriers and building mutual trust," admitted the project coordinator and dean of the Upper Yangtze Cultural Tourism Big Data Research Institute. The three regions adopted a federated learning framework of "data stays local, models run across domains," enabling value circulation while protecting user privacy and local data security. All data is desensitized, and analysis results are used only for macro trend research and public service optimization.

The effects are becoming evident. Latest statistics show that since the "Grasslands, Gorges, and Mountain City" data channel deepened its operations, two-way tourist traffic among the three regions has increased by 34% year-on-year, with per capita tourist spending rising by about 22%. More importantly, it has created off-peak traffic complementarity—when the grasslands enter the low tourist season, it coincides with the Three Gorges red-leaf viewing period. The system intelligently pushes related itineraries, smoothing out seasonal fluctuations.

Standing on the observation deck of Hongyadong, watching the cable cars shuttle between buildings, a tourist from Ordos told the reporter, "I didn't expect big data to understand me so well. It recommended I take the river-crossing cableway in Chongqing, saying we grassland people love this kind of open, moving perspective." This casual remark might be the best footnote to this silent transformation—as the vastness of the grasslands, the depth of the gorges, and the magic of the mountain city are rewoven by lines of code and countless data points, a new, precise, and warm cultural tourism experience is moving from the laboratory into the wider world.

In the future, the "Grasslands, Gorges, and Mountain City" model plans to expand to more provinces. Its ambition extends beyond tourism, aiming to build a cross-regional collaborative development sample based on big data mutual trust. In the wave of the digital economy, data has become the new "soil and water." How to cultivate a symbiotic and prosperous ecosystem on this land—this practice that began with the grasslands, Hubei, and Chongqing—is just beginning.