ARTICLE
26 July 2026

Visual Symbols and Information Communication in Linguistic Landscape: A Case Study of Shougang Park

Najie Zhang1* ,  Yan Wang1 ,  Hongjia Wang1 ,  Kaixin Du1 ,  Yuhan Wang1
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1 School of Humanities and Law, North China University of Technology, Beijing 100144, China
CEF 2026 , 4(7), 177–185; https://doi.org/10.26689/CEF.v4i7.16009
© 2026 by the Author. Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Within linguistic landscapes, visual symbols serve as a principal medium for conveying meaning, yet their communicative effectiveness largely depends on observable design properties. Focusing on Shougang Park—a decommissioned Beijing steelworks repurposed as an industrial-heritage site—this study investigates the visual components of on-site signage and their communicative effectiveness. Drawing on Backhaus’s sign-survey procedure with photographic documentation, we coded 154 signs across six dimensions: typeface legibility, layout rationality, icon configuration, color application, image–text relations, and visual symbol standardization. An audience perception survey supplemented the analysis. The overall visual design proves acceptable, yet the analysis identifies four problems: a low icon configuration rate, a relatively high visual-symbol problem rate, suboptimal image–text relations, and inconsistent color clarity. Some visual-symbol designs have furthermore not effectively responded to the spatial character of the industrial heritage. On this basis, the study proposes optimization principles and specific measures, offering a theoretical and practical reference for visual communication design at industrial-heritage spaces.

Keywords
Linguistic landscape
Visual symbols
Information communication
Industrial heritage
Funding
2026 College Students’ Innovation and Entrepreneurship Training Program of North China University of Technology—Innovation Training Project (Beijing Municipal-Level Project) (Project No.: S202610009087)
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