Official Projection vs. Public Perception: Measuring the Perceptual Discrepancy of Creative Industry Parks in the Industrial Heritage Category Using Large Language Models

Industrial tourism serves as a medium for disseminating industrial culture and strengthening public awareness. Quantifying the discrepancies between official projections and public perceptions is essential for shaping the destination image and enhancing appeal and competitiveness. This study examines five industrial heritage creative industry parks using large language models (LLMs) and multimodal data to address this issue. The results indicate the following: (1) Multimodal data fusion improves feature representation. (2) A clear discrepancy exists between official projections and public perceptions. The official perspective emphasizes the Cultural value of heritage, in contrast to the public’s greater concern with the Service experience perception. Despite this divergence, there is alignment in the recognition of the Creative industry form dimension. (3) Public sentiment regarding the parks is predominantly positive. However, an analysis of negative sentiments reveals that insufficient supporting facilities and poor consumption experience are the primary sources of dissatisfaction. Through large language models and multimodal data, this study proposes a framework for quantifying the gaps between official projections and public perceptions. It also provides practical insights and empirical support for the management and planning of industrial heritage creative industry parks.

Authors

Institutions

Publication Details

Journal
Land
Published
2025-12-04
DOI
https://doi.org/10.3390/land14122371
Citations
1
Primary Topic
Cultural Industries and Urban Development
Type
article
Field-Weighted Citation Impact
6.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Official Projection vs. Public Perception: Measuring the Perceptual Discrepancy of Creative Industry Parks in the Industrial Heritage Category Using Large Language Models

Jingwei Zhao, Bin Hu, Xiaoke Yang
1 citations
Land
Cultural Industries and Urban Development
6.18
article

Official Projection vs. Public Perception: Measuring the Perceptual Discrepancy of Creative Industry Parks in the Industrial Heritage Category Using Large Language Models

Jingwei Zhao, Bin Hu, Xiaoke Yang
article en
1 citations

Abstract

Industrial tourism serves as a medium for disseminating industrial culture and strengthening public awareness. Quantifying the discrepancies between official projections and public perceptions is essential for shaping the destination image and enhancing appeal and competitiveness. This study examines five industrial heritage creative industry parks using large language models (LLMs) and multimodal data to address this issue. The results indicate the following: (1) Multimodal data fusion improves feature representation. (2) A clear discrepancy exists between official projections and public perceptions. The official perspective emphasizes the Cultural value of heritage, in contrast to the public’s greater concern with the Service experience perception. Despite this divergence, there is alignment in the recognition of the Creative industry form dimension. (3) Public sentiment regarding the parks is predominantly positive. However, an analysis of negative sentiments reveals that insufficient supporting facilities and poor consumption experience are the primary sources of dissatisfaction. Through large language models and multimodal data, this study proposes a framework for quantifying the gaps between official projections and public perceptions. It also provides practical insights and empirical support for the management and planning of industrial heritage creative industry parks.

LandVol. 14(12)
China University of Mining and Technology (CN)
Openalex Percentile: Top 3%
Cultural Industries and Urban Development
6.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.