OPTIMIZING TOURISM FACTORY DESIGN: A STRATEGIC FRAMEWORK FOR ENHANCING VISITOR EXPERIENCE THROUGH SPATIAL ZONING AND VISUAL GRAPH ANALYSIS
DS 136: Proceedings of the Asia Design and Innovation Conference (ADIC) 2024
Year: 2024
Editor: Yong Se Kim; Yutaka Nomaguchi; Chun-Hsien Chen; Xiangyang Xin; Linna Hu; Meng Wang
Author: Yum, Joosun; Hung, Yu-Hsiu; Lee, Ji-Hyun
Series: Other endorsed
Institution: Korea Advanced Institute of Science and Technology, National Cheng Kung University
Page(s): 379-389
Abstract
This study aims to enhance visitor experience in factory tours by developing a strategic framework for spatial design, using the Hwa Meei "Eye Fun Vision" tourism factory as a case study. The research employs expert consensus techniques, such as the Delphi method, and space syntax analysis to identify key spatial elements and optimize the layout of factory tour spaces. The findings highlight the importance of spatial zoning, connectivity, and visitor engagement in creating effective and memorable factory tours. Through case analysis of major factory tours in South Korea, Taiwan, Japan, Germany, and the United States, the study identifies critical zones such as introduction, history, manufacture, activity, and sales. A Visual Graph Analysis (VGA) of the Hwa Meei tour space further reveals how visual connectivity and integration can enhance visitor flow and interaction. The results show that strategically arranged zones, with interactive elements and well-designed movement paths, significantly improve visitor engagement. The study offers practical recommendations for applying this spatial design framework to various industries, promoting the growth of industrial tourism. This research contributes to the field by providing a structured approach to factory tour design, combining both expert insights and data-driven spatial analysis to create visitor-centric, educational, and brand-enhancing experiences.
Keywords: Tourism Factory, Industrial Tourism, Spatial Zoning, Visual Graph Analysis, Factory Tour Design