فصلنامه پژوهش های جغرافیایی برنامه ریزی شهری
سال دوازدهم شماره 1 (بهار 1403)

The rapid growth of the urban population and its increasing concentration in metropolitan areas is one of the most obvious developments in the settlements of contemporary Iran. Spatio-temporal population movements have led to complex changes in land cover patterns. This article aims to investigate and analyze the spatial-temporal changes in the urban population and the resulting land cover patterns in the last few decades in the metropolitan area of Isfahan. The research method in this research is descriptive-analytical, and by using the analysis of census data and statistics of urban blocks, as well as the method of classification of Landsat satellite images, it has been done. The findings of the research show that during recent decades, the absolute increase of the urban population has reached the area of 35 km to the area of 25 km of Isfahan city. The results show that the spatial-temporal movement of the urban population in the Isfahan metropolitan area is in the stage of centralization and extensive development. According to the spatio-temporal movement of the urban population, the land cover pattern has also undergone extensive changes. The most important pattern of urban growth resulting from demographic changes in the metropolitan area of Isfahan indicates that the semi-centralized pattern of this region in the 1981s turned into a centralized pattern and was pushed in the 2011s.

Today, new problems in urban planning are considered wicked due to their complexity, uncertainty, and normativity. Despite introducing the wicked problem concept during the last five decades, identifying urban wicked problems and how to encounter them is still an issue at the center of focus and study among urban planning theorists. Therefore, this article aims to develop a framework to identify wicked problems in urban planning. The study’s methodology is a genealogical analysis that examines the phenomena in their historical development and creates a suitable critical position for understanding their current conditions. In this way, the concept of the wicked urban problem has been subjected to genealogical analysis in five stages, including identification, records, discourses, discontinuity analysis, and criticism of the present. According to the proposed framework, wicked urban problems could be identified in two general categories, problem-oriented characteristics and solution-oriented characteristics, which subsequently include features such as uncertainty in definition and configuration, uniqueness, interrelationship and closeness, the impossibility of defining a definitive solution, the inexhaustibility of the encountering process, and the extensive and inevitable consequences of addressing. Meanwhile, the absence of a leading authority, the limited opportunity for encountering, and escalating by those who encounter lead to the emergence of super wicked urban problems. The presented framework to identify wicked problems in urban planning lays the groundwork for a more detailed analysis and, accordingly, more efficient approaches to encounter them for urban planners and policymakers, which will need to be applied and scrutinized in future related thematic and case studies

Nowadays, when societies are moving towards industrialization, it seems that the psychological dimensions of humans are disregarded. Self-actualization can be proposed as a solution to reduce the negative impacts caused by this. This motivation leads to improved psychological health and well-being in humans. It seems that environmental capabilities can be used to pursue self-actualization in people. Considering the mentioned necessity, this study aims to provide effective design components for responding to the self-actualization of residents in residential complexes. In the first step of the research's first phase, which is the document mining method, the sample population was available resources, and in the Delphi method, the sample population was 20 experts. The sample population in the second phase of the research to survey users was 290 residents of residential complexes in Shiraz city. Research was started using document mining and Delphi techniques, and sources were assessed. Then, experts were interviewed, and users were surveyed using the researcher-made questionnaire. Finally, the information obtained from the users' survey was entered into SPSS-23.0, and data analysis was performed using factor analysis and Pearson correlation tests. The findings of factor analysis present the components of creative environment, collective environment, environmental safety, event-able environment, diversity, discoverability, and social interactions as environmental components that are effective in responding to the self-actualization needs of residents of residential complexes, and the results of the correlation test show that all factors are positively and significantly correlated

The present study aims to combine physical, socioeconomic, and traffic criteria to evaluate and analyze the traffic congestion potential of Urmia city. This study is applied and descriptive-analytical, where the required data were collected through library and field studies. To achieve the research goal, 25 indices classified under three physical, socioeconomic, and traffic criteria were selected, and their importance coefficients were calculated using the BWM approach. The BWM questionnaires were distributed among 50 elites in two steps as select the best and worst indices and complete the paired comparison questionnaire to determine the priority of the best index over other indices and the priority of other indices over the worst index). The outputs of the questionnaires were entered into the GAMS software to calculate the indices’ importance coefficients. The “distance from urban cores” and “average land price” indices obtained the highest and lowest weights, respectively. To show the traffic congestion potential of the five districts of Urmia city, the SECA model was implemented in Lingo software with different values of β. The findings divide Urmia city into 5 zones in terms of traffic congestion as very low traffic congestion (13%), low traffic congestion (32%), moderate traffic congestion (21%), high traffic congestion (21%), and very high traffic congestion (15%). The results indicate that District 4 has the highest traffic congestion potential, followed by Districts 5, 1, 3, and 2, respectively

While extensive research has been conducted on the topic of social resilience, the precise dynamics of how a local community acts in crisis situations and the impact of what is known from the scientific literature as indicators of social resilience remain unclear. It appears that in-depth, qualitative, and phenomenological research at the local level can provide a deeper understanding of the dimensions and layers of a community's resilience. This study aims to comprehend the indicators of local community resilience in the face of crisis conditions, drawing on the experiences of the Saadi neighborhood residents in Shiraz during the 2019 flood disaster. To this end, in addition to reviewing the theoretical literature, 20 semi-structured in-depth interviews with local residents were conducted and analyzed using MaxQda software, presenting findings across eight main axes within a theoretical framework comprising 28 significant indicators affecting local social resilience. The research findings highlight the importance of "a sense of identity and belonging to the neighborhood", "internal cohesion of the local community" and "flexibility and creativity of the local community" in enhancing the social resilience of the Saadi neighborhood. Additionally, the weaknesses in "public awareness and culture-building" and "trust in urban management institutions" were evident in this community's response to the crisis. The findings of this study can inform and be applied in decision-making processes, particularly in urban management layers focusing on crisis management at the neighborhood scale.