The development of urbanization in accordance with environment is an important issue for sustainability. A correct understanding of the relationship between urbanization and environment is highly vital for the coordinated development of both systems. In recent decades, the expansion of urbanization and manmade infrastructure without taking into account the environmental resources has been increasing. This has led to numerous consequences such as the reduction of environmental resources and the escalation of environmental pollution, and has severely endangered the future of sustainable development in Khorasan Razavi province. In the study at hand, the balance among urbanization and environment subsystems was examined using the coupling coordination degree model in the cities of Khorasan Razavi province. The ranking of cities was done based on the coupling coordination degree scores. Based on the scores of cities in each subsystem, the cities were divided into four areas, namely areas under urbanization pressure, areas under environment pressure, areas under dual pressure, and areas under no pressure, and the relationships between the coupling coordination degree and the areas were compared. The results showed that Gonobad (.66) and Dargaz (.62) cities have achieved the highest balance score and have been classified in the primary balance group. On the other hand, Khoshab (.36), Mahwelat (.38), and Davarzan (.39) cities had the lowest rate of balance and were classified in the average imbalance group. While the majority of the cities located in the areas under double pressure and environment pressure were classified in the low imbalance group, most of the cities located in the areas under no pressure and urbanization pressure were grouped in the near-to-balance category. Overall, based on the calculations made in this study, the coupling coordination degree has been increasing from dual pressure area to area under environmental pressure, then to the area under urbanization pressure, and finally to the area under no pressure.

After the implementation of the contemporary knowledge and innovation spaces as the driver of economic growth and the long-term development of cities and regions, this idea has come under criticisms, especially due to its compliance with capitalist structures. In practice, the problem is that the attractiveness of life, work, and recreation in these spaces is purely accompanied by the consideration of the needs of creative layers of society with a mercantilist view and through sacrificing many primarily qualitative and secondarily contextual indices. Therefore, although these recently found arenas have received positive global attention, they face some challenges. One of these challenges is the low quality of places in the neighborhoods entailing contemporary knowledge and innovation spaces. Therefore, the purpose of this study was the attainment of qualitative factors of the placemaking mechanisms and urban policymaking of contemporary knowledge and innovation spaces as well as the development of the existing conceptual framework to respond to the criticisms in this regard. The research method was the qualitative and quantitative content analysis of the related documentary data and provision of an answer to the nature of the palcemaking factors using unlimited classical meta-analysis of Persian and English resources, including the scientific-research articles, theses and dissertations, books, and reports, and then coding and counting the frequency of the analysis units. At the end, the meta-analysis of the resources led to the identification of 21 conceptual labels for contemporary knowledge and innovation spaces in the form of four dimensions of characteristic, form, performance, and image. Consequently, it seems that consideration of the requirements of placemaking the related spaces – including accessibility, participation, investment, acceptance, social liveliness, dynamism in activities, and integration – can help increase the quality of knowledge and innovation spaces in the contemporary era.

The disasters of recent years indicate that communities and individuals are getting increasingly vulnerable and risks are progressively growing. Nonetheless, the need to reduce risks and vulnerabilities are often ignored up until the occurrence of disasters. In the study at hand, which was done based on the descriptive-analytical method, it was tried to examine and predict the vulnerability perspective of the areas located within District six of Ahvaz metropolis during a potential earthquake based on the main purpose of this study. The theoretical data of the study was collected through library research method. After the extraction of the related indices, the spatial analysis of each index was carried out through fuzzy Delphi method, IHWP vulnerability model, and GIS software analyses. The analysis of the findings illustrated that considering the first and second priorities of the crises management, 15.03 percent of all areas of the district under study are highly vulnerable to earthquake. That is to say, in case of a strong earthquake in the district, they will be vulnerable. The study concluded that the physical qualities of the building are as important as the factors such as land use, population density, and time of earthquake occurrence. These have all effective roles in the vulnerability rate and the rescue activities.

The vulnerability appraisal is one of the prerequisites of risk analysis in disaster management. Vulnerability to earthquake, especially in urban areas, has increased over years due to the existence of complex urban structures and rapid development. In order to take preemptive measures and reduce the damages of earthquake, the determination of vulnerable areas and implementation of necessary measures seem inevitable. Accordingly, the present study set out to examine the vulnerability of Tehran urban blocks via a location-base model. To attain this objective, first the criteria effective on the evaluation of earthquake vulnerability were divided into three groups, namely exposure, sensitivity, and adaptation capability (16 location criteria in general). Using the expert opinions and network analysis model, the importance of each of the criteria was determined. Fuzzy functions and ordered weighted averaging method were used to normalize the criteria map and develop vulnerability maps under various scenarios. Finally, the sensitivity analysis of the criteria was carried out. The results showed that vulnerable population density and average slope were the criteria with the most and least importance, respectively. The vulnerability maps demonstrated that the areas to the north of the area under study are in the vulnerable class under all scenarios. The stability and dependability of the output results were assessed using sensitivity analysis. The results indicated that changing the weight of the criteria does not have a significant effect on the model outputs, a finding that clearly proves the stability of the model.