Volume 13, Issue 48 (7-2024)
Haft Hesar J Environ Stud 2024, 13(48): 121-146 |
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Vahidbafandeh M, emani Shamlou J. Analysis of mental imagery in historical urban spaces based on cognitive approaches (Case Study: Arg Street, Mashhad City). Haft Hesar J Environ Stud 2024; 13 (48) :121-146
URL: http://hafthesar.iauh.ac.ir/article-1-2088-en.html
URL: http://hafthesar.iauh.ac.ir/article-1-2088-en.html
1- Master's student in Urban Design, Faculty of Architecture and Urban Planning, Tabriz Islamic Art University, Tabriz, Iran.
2- Department of Urban Planning, Faculty of Architecture and Urban Planning, Tabriz University of Islamic Art, Tabriz, Iran
2- Department of Urban Planning, Faculty of Architecture and Urban Planning, Tabriz University of Islamic Art, Tabriz, Iran
Abstract: (767 Views)
Introduction: "Researchers explored the value of a city's mental imagery, which found a more open space since the 1960s, as a critique against the reductionism of the modern movement. They highlighted the importance of the qualitative aspects of mental landscapes. The imagery of urban spaces, especially those with historical identity and essence, represents the ultimate desirable qualities of the environment. The important question is how urban designers and planners can influence the formation of mental imagery of urban spaces. To answer this question, experts first need a better understanding and analysis of people's minds, which presents a significant challenge. They must examine techniques for analyzing individuals' mental imagery from qualitative and objective perspectives. Researchers must investigate what tools and strategies are essential for accurately understanding a city's imagery and identity, and its significant places against homogenizing forces transforming contemporary cities. This paper emphasizes creating mental imagery of historical urban spaces as an urban cognition philosophy, where multisensory environmental experiences create a meaningful spatial quality. It then addresses the importance of accurate understanding and analysis of mental imagery using various tools. The study aims to identify techniques for evaluating the mental imagery formed from the perceptual realm of residents using their empirical research. This research seeks to understand how the residents of Arg Street in Mashhad perceive its imagery and which methods effectively evaluate it empirically. Examining theoretical principles and methods that researchers empirically used to manage qualitative mental imagery in urban environments is crucial due to the extensive changes and transformations of cities.
Methodology: The research methodology of this study is a mixed qualitative-quantitative approach. In the qualitative part, researchers categorized techniques and tools for analyzing mental imagery. Then, they measured the conceptual model's indicators according to the nature and characteristics of each technique. They conducted semi-structured interviews with various groups of people on Arg Street in Mashhad to capture the analytical layers of their mental imagery. Researchers then performed qualitative analyzes for each method. In the quantitative part, they used Tableau software, a powerful tool for visualizing qualitative data and converting it into spatial information, to process all qualitative outputs.
Results: The results show that in the third sequence of Arg Street, the depth of individuals' mental connection with the environment diminishes. Most sequences fail to evoke memories effectively, and the lack of connection is visible in the software analysis. The absence of familiar places in the third sequence weakens the axis. Overall, the mental imagery at the entrance of the axis in the first sequence significantly influences the initial mental image of the environment and appears very favorable.
Conclusion: The key techniques for evaluating mental imagery analysis include ranking familiar places, multidimensional scaling, assessing individuals' mental color spectrum, recognition operations, evaluating the passage of time, and analyzing missing urban and mental elements.
Methodology: The research methodology of this study is a mixed qualitative-quantitative approach. In the qualitative part, researchers categorized techniques and tools for analyzing mental imagery. Then, they measured the conceptual model's indicators according to the nature and characteristics of each technique. They conducted semi-structured interviews with various groups of people on Arg Street in Mashhad to capture the analytical layers of their mental imagery. Researchers then performed qualitative analyzes for each method. In the quantitative part, they used Tableau software, a powerful tool for visualizing qualitative data and converting it into spatial information, to process all qualitative outputs.
Results: The results show that in the third sequence of Arg Street, the depth of individuals' mental connection with the environment diminishes. Most sequences fail to evoke memories effectively, and the lack of connection is visible in the software analysis. The absence of familiar places in the third sequence weakens the axis. Overall, the mental imagery at the entrance of the axis in the first sequence significantly influences the initial mental image of the environment and appears very favorable.
Conclusion: The key techniques for evaluating mental imagery analysis include ranking familiar places, multidimensional scaling, assessing individuals' mental color spectrum, recognition operations, evaluating the passage of time, and analyzing missing urban and mental elements.
Type of Study: Research |
Received: 2024/08/18 | Accepted: 2024/07/31 | Published: 2024/07/31
Received: 2024/08/18 | Accepted: 2024/07/31 | Published: 2024/07/31
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