Processed dataset for post-event facility optimization in the Chongli ski resort cluster

Description

This dataset contains processed and aggregated data supporting the analysis of post-event facility optimization in the Chongli ski resort cluster. It includes customer requirement frequencies, sentiment proportions, Kano classifications, dynamic weighting results, strategic clustering, and QFD-related mapping outputs. Raw user-generated content is not included due to platform-related restrictions and privacy considerations.

Steps to reproduce

The dataset contains processed and aggregated outputs derived from multi-platform user-generated content related to the Chongli ski resort cluster. Raw user-generated content is not included due to platform-related restrictions and privacy considerations. To reproduce the analytical logic, users may review the customer requirement mapping, sentiment proportions, Kano classifications, dynamic weighting results, strategic clustering matrix, and QFD mapping sheets. The workflow consists of: identifying visitor requirements from cleaned UGC, classifying requirements using sentiment-assisted Kano logic, calculating dynamic priority weights, and translating prioritized requirements into technical characteristics through QFD.

Institutions

• Hebei University of Architecture

  Hebei, Zhangjiakou

Categories

Funders

• 2026 University-level Graduate Student Innovation Fund Program

  Grant ID: XY2026023

Licence