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Techno-Cultural Factors Affecting Policy Decision-Making: A Social Network Analysis of South Korea’s Local Spatial Planning Policy

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  • Eun Soo Park

    (Department of Architecture, Sahmyook University, Seoul 01795, Korea)

  • An Yong Lee

    (Department of Smart Factory, Korea Polytechnics, Incheon 21417, Korea)

Abstract

Increasing interest in various local construction forms necessitate examining its link to human life. Construction culture should be adapted and applied to the contemporary context to create a harmonious coexistence with diverse local cultures and to strengthen regional sustainability, avoiding the rigid, one-dimensional local construction development. Thus, this study aims to analyze the factors of influence needed for policy decision-making at the local spatial planning stage, with regional technologies and cultural contents from a convergent perspective taken into consideration. This study derived tangible and intangible policy decision-making factors during the spatial planning stage using text mining analysis. Additionally, social network analysis was also used to seek multi-angle correlations among factors. Through big data analytics, 16 key decision-making contents in the spatial planning stage were derived, with ‘regional development, urban policy’ as most influential. Such a result indicates the need for regional and urban policy engagement with strategic development from a holistic perspective—in view of socio-cultural relations and forms of change—and local perceptions of spatial value and significance affecting decision-making in the local spatial planning stage (LSPS). Understanding the decision-making process in the spatial planning stage requires a holistic approach with both visible technological factors (structure, form, and construction method) and invisible cultural factors (ways of life projected during space formation, zeitgeist, religion, learning, and art) included.

Suggested Citation

  • Eun Soo Park & An Yong Lee, 2020. "Techno-Cultural Factors Affecting Policy Decision-Making: A Social Network Analysis of South Korea’s Local Spatial Planning Policy," IJERPH, MDPI, vol. 17(23), pages 1-24, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:8746-:d:450738
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    References listed on IDEAS

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    1. Wenke Wang & Jue Wang & Kebei Liu & Yenchun Jim Wu, 2020. "Overcoming Barriers to Agriculture Green Technology Diffusion through Stakeholders in China: A Social Network Analysis," IJERPH, MDPI, vol. 17(19), pages 1-22, September.
    2. Andrea Landherr & Bettina Friedl & Julia Heidemann, 2010. "A Critical Review of Centrality Measures in Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(6), pages 371-385, December.
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    1. Dana Rad & Lavinia Denisia Cuc & Ramona Lile & Valentina E. Balas & Cornel Barna & Mioara Florina Pantea & Graziella Corina Bâtcă-Dumitru & Silviu Gabriel Szentesi & Gavril Rad, 2022. "A Cognitive Systems Engineering Approach Using Unsupervised Fuzzy C-Means Technique, Exploratory Factor Analysis and Network Analysis—A Preliminary Statistical Investigation of the Bean Counter Profil," IJERPH, MDPI, vol. 19(19), pages 1-19, October.

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