Author = محمود قلعه نویی
Number of Articles: 4
Ranking the Semantic-Identity Challenges of Urban Landscape in the Urban Planning System of Iran

Ranking the Semantic-Identity Challenges of Urban Landscape in the Urban Planning System of Iran

Volume 15, Issue 1, September 2024, Pages 43-57

https://doi.org/10.30475/isau.2024.384163.2025

Hajar Asadpour, Mahmoud Ghalehnoee, Armin Bahramian, Mahmoud Mohammadi

Abstract Extended Abstract
Background and Objectives: The formation of the urban landscape, as a reflection of a city’s culture and identity, involves both objective and subjective dimensions. In recent years, urban planning in Iran has encountered difficulties in managing the urban landscape. The failure to implement urban projects effectively highlights the absence of control and visual guidance regulations, which serve as tools for urban policies, thereby complicating efforts to address urban landscape issues. Comprehensive research has not yet focused on identifying and ranking the semantic-identity challenges of Iran’s urban landscape. Although numerous studies have explored urban landscapes, a comprehensive approach to categorizing, prioritizing, and addressing these challenges has been largely overlooked, forming the basis for this research. The overall goal of this study was to identify and rank the challenges of Iran’s urban landscape based on expert opinions.
Methods: This research adopted a mixed-methods approach, incorporating both qualitative and quantitative components, to thoroughly identify and prioritize the semantic-identity challenges of the urban landscape in Iran. A comprehensive and focused search was conducted across domestic and international databases, as well as reputable publications in landscape architecture, using relevant keywords such as “landscape,” “urban landscape,” “urban image” (visual aspect of landscape), and “historical and contemporary landscape.” A total of 256 articles were collected, and more than 40 domestic and international studies from the past decade were carefully selected for further analysis. Content analysis of these studies was performed to extract the semantic-identity challenges facing Iran’s urban landscape. The identified challenges were categorized using the “Trilogy Analysis model” for a more structured approach. In the third step, expert opinions were gathered by asking a sample group of professionals in fields related to urban landscape (urban planning, architecture, and landscape) to rank the challenges within each category. For ranking, the one-sample t-test and Friedman test were applied using SPSS 24 software. A total of 240 questionnaires were distributed online to experts using the snowball technique, and 118 were completed within seven days.
Findings: “Structural challenges” in the urban landscape primarily relate to urban governance and decision-making processes. These challenges include issues such as the failure to convert urban landscape development plans into actionable outcomes. A major contributing factor to this problem is the inefficiency of regulatory systems. In Iran’s urban planning system, the monitoring and evaluation aspects are often overlooked. Specifically, there are no proper criteria for visual control of the urban landscape, or they are neglected. Additionally, the lack of adjustment in protection programs for historical cities has resulted in significant changes in recent urban developments. In addressing the challenges in the “content and behavioral” sector, attention was also given to the behavior of urban landscape professionals and the general public. Limited public participation in Iran’s urban planning system has long been an issue. The absence of public involvement in the design phase leads to a neglect of the visual and perceptual aspects of the city in the minds of citizens, as well as the cognitive and semantic dimensions of projects. As a result, many urban landscapes fail to establish meaningful connections with users, contributing to a sense of placelessness and lack of identity in cities. Furthermore, a significant challenge in the urban planning system is the absence of a common language between the academic community, professionals, and urban managers, leading to ineffective communication between these groups.
The findings showed no significant differences between the averages. However, based on expert opinions and the one-sample t-test, the three contextual challenges with the highest averages were:
1. Crisis and chaos in the landscape of contemporary cities.
2. Transformation of the cityscape and the loss of balance in the city’s appearance.
3. The disconnection between the historical and contemporary landscapes in cities.
In the category of “structural challenges,” inefficient oversight systems and the lack of evaluation and assessment in implemented plans are identified as the most critical issues. Challenges related to the behavior of professionals and citizens in the urban landscape fall under the content (behavioral) branch. Among these, the disregard for the concept of meaning is a key factor contributing to the phenomenon of placelessness in cities. This issue highlights the need for urban management to focus on the perceptual and visual aspects of citizens, which can be addressed through active public participation in creating the landscape.
Conclusion: This research, which specifically addresses the challenges within a particular area of the urban planning system, will be more effective in resolving issues in this field and can more purposefully determine the path of future actions in the urban landscape. Despite the abundance of studies focused on the urban landscape, a comprehensive examination of the semantic-identity challenges of the urban landscape, addressing both the objective and subjective aspects, has not been sufficiently explored. The findings of this research can be valuable and the results indicate that the three-part classification of 1) content (behavioral) challenges, 2) structural challenges, and 3) contextual challenges ranked in order of importance from first to third. To tackle the issues and challenges of the urban landscape, priority should be given to addressing “behavioral challenges.” Conversely, contextual challenges, such as the lack of sufficient knowledge in the landscape field or the adaptation of global guidelines to local ones, rank last in importance.

Suggesting a method for preparing the color palette of the place, an approach to conserve the historic urban landscape (Case study: Jolfa neighborhood in Isfahan)

Suggesting a method for preparing the color palette of the place, an approach to conserve the historic urban landscape (Case study: Jolfa neighborhood in Isfahan)

Volume 13, Issue 1, May 2022, Pages 39-53

https://doi.org/10.30475/isau.2020.231431.1419

Bahareh Tadayon, Mahmoud Ghalehnoee, Reza Abouei

Abstract Extended Abstract
Background and Objectives: The Historic Urban Landscape (HUL) conservation approach is well known as a popular regeneration approach. This approach has developed the historic conservation beyond the immovable heritage area (single buildings and complexes) to all historical and cultural values that may emerge in the historic urban landscape. Landscape color is one of the substantial elements of historical patterns in urban areas, reflecting the local culture in the place’s body. Therefore, it is considered a significant component of the HUL conservation approach. Here, the problem is that the unconscious use of color is neglected in the urban regeneration of historical textures. In addition, the development of the neighboring areas may distort the urban landscape and threaten the character of these unique textures. The historic urban landscape, influenced by the inherent color orders of the local materials, was shaped in compatibility with climatic conditions. However, the HULs are now subject to visual and perceptual damage due to using materials incompatible with natural history. As such, investigating the color studies in different parts of the world and at different scales has been performed considering the specific historical characteristics to decrease these inconsistencies. In recent years, with the development of technology in harvesting, classifying, and preparing, its color palette has also been changed. Regarding the importance of these patterns, as well as the creation of incompatible structures with the local color order, the central question of the current research is how today’s tools can be employed instead of manual and old methods to record and analyze landscape color information, concerning the economic feasibility and reliability in terms of results. Accordingly, this paper aims to introduce a method to prepare the color palette of the place and identify the dominant color codes in the historic urban areas. For this purpose, given the outstanding features of the Jolfa neighborhood in Isfahan, it is chosen as a case study. Located in the historical patterns of Isfahan, having a particular culture, and the existence of unique color patterns, this neighborhood is still considered one of the dynamic neighborhoods in the tourism structure of Isfahan. This neighborhood is different from other parts of Isfahan’s historical textures due to its formed historical characteristics. Even in terms of appropriate samples and patterns of “color orders” and color themes employed in its landscape, it has some noticeable differences from other parts of the historical texture. 
Methods: This paper is conducted using a mixed-methods technique, which follows the systemic approach in terms of research strategies due to the multifaceted nature of the color element in the topics of “psychology,” “culture,” and “visual ecology.” The color system used in the study is the CIELab system. The Lab (i.e., L * a * b) model is the most compatible with the range of human color vision among all color systems. The color space L * a * b or CIELab is a global standard to measure the color, adopted in 1967 by the International Commission on Illumination. The process steps include preparing the color samples, extracting the color codes using SPSS and MATLAB software, and classifying them using the Quick Cluster Analysis Model (k-means).
Findings: According to the findings, five main color categories were achieved based on all color codes. Ultimately, the color codes of the centers of these clusters were obtained as base colors in the color palette of the Jolfa neighborhood. Therefore, the obtained results indicate that this study contains the potential to be widely utilized for analyzing the landscape color and preparing the proposed palette for historic urban texture to accomplish the aims of the (HUL) approach. Furthermore, it can offer the range of color spectrums and their frequencies for comparing the color landscape of historical textures in different samples and periods.
Conclusion: These studies can go beyond the research format and be available as software for those organizations involved in urban management to analyze any new construction compatible with the existing background color. Moreover, identifying and investigating other significant factors in shaping the historic urban landscape can complete the components of this research. These factors can be studied in resources such as studies related to the structure of the components that shape the landscape, the intuitive landscape of the place, the effect of natural context and climate on the urban landscape, etc.