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In addition to diagnostic measures in the early stages of the widespread disease of COVID-19, prevention of the presence of individuals in high-risk environments, along with the proper distribution of population and services, is also effective in controlling the spread of the disease. The epidemic model, is based on population and movement. The aim is to introduce hazardous maps at the outbreak of corona disease and to explain the framework for their preparation and application based on issues related to resident behaviors. This research has been done by the method of logical reasoning and by analytical study of the existing samples, the components that are effective in preparing these maps and updating them. To this end, after the typology of the maps, the results evaluation criteria were validated from the perspective of the outputs. According to the research results, the dynamics of human movement data are key to estimating spatial interactions in these maps; Because of the social distance, staying home, and closing down jobs, fundamental changes occur in individual and group movements. Using different sources of information can be provided, the platform for participation of different groups of users using mapping maps is provided with an active and inactive demographic approach and increased efficiency. The development of such maps is a collaboration between the fields of epidemiology, health, environmental psychology, and public planning and design, especially urban design, to ensure that integrated studies based on the dynamics of location-based behaviors greatly enhance the validity of the maps.

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Applying social capital to refurbish urban streets has meant recognizing opportunities and challenges and shaping processes to its sequences over time. The purpose of the present study is to introduce a strategic framework for applying the potentials and values ​​of social capital in environmental improvement and responsible maintenance and social control of street-related sequences. The main question is that how to transform the role of today's street as an element of neighborhood segregation into a linking element of discrete neighborhoods so as to become a showcase for cultural and social interactions. The method of this research is descriptive-analytical which is in three phases: explaining the relevant conceptual framework for entering the research context, applying it to the research context, analyzing and discussing the objective and subjective findings, Qualitative data analysis is done. The measurement tool is a semi-structured questionnaire, using descriptive statistics and inferential statistics performed by SPSS software were used to evaluate criteria and answer research questions. The research context is Imam Khomeini Street and the neighborhoods adjacent to this street. The sample size was 378 using Cochran formula. Indicators used in this study are invitations, neighborhood personality expression on the street edge, transparency and depth to the street edge, and a sense of belonging and responsible environmental behaviors. The results indicate that the items related to the design of the entrances and the continuation of recreational and tourism activities on the edge and the inner texture of the neighborhoods are of greater importance for identifying street sequences.

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Oil, as a primary source of energy, has a significant impact on promoting economic activities. Oil provides considerable part of the government's revenue sources. The price of oil has always fluctuated over the years due to various reasons including political, social, and economic developments in different countries. Since the price of oil affects different sectors of the economy, including agriculture, through the government budget and the revenue sources of the government, this study investigated the effect of OPEC oil price fluctuations on the value added of the agricultural sector from 1990 to 2019. The Generalized Autoregressive Score (GAS) Model estimated these fluctuations, while the Nonlinear Autoregressive Distributed Lag (NARDL) method estimated the long-term relationships. In addition to OPEC oil price fluctuations, variables such as the consumer price index, employment in the agricultural sector, and the trade openness degree were examined in the model. The results showed a negative effect of OPEC oil price fluctuations on the agricultural sector's value added. Furthermore, the trade openness had a positive effect on the agricultural value added in the long term. Results indicate that oil income is one of the most important issues that decline agricultural sector's value added, and the government should control this negative relation to develop agriculture as a vital part of the economy.