نشریه برنامه ریزی توسعه شهری و منطقه ای
پیاپی 13 (تابستان 1399)

The outbreak of the covid-19 virus has faced cities with many challenges. The most important of which is endangering the sustainability and livability of urban neighborhoods. Actions recommended by the World Health Organization to prevent the outbreak of the virus, including physical distancing and home quarantine, have led to Create new mechanisms that have severely affected the livability of neighborhoods. The main purpose of this study is to analyze the impact of the outbreak of covid-19 on the livability indicators and factors of urban neighborhoods based on residents’ views. The methodology of this research is quantitative. This research is conducted using questionnaires of residents in the neighborhoods of District 8 of Tehran and ten basic factors were identified by using exploratory factor analysis, including health and pleasure, recreation and entertainment, housing, transportation, environmental health, security, economy and employment, cultural status, education and identity. Based on residents' views, The outbreak of the covid-19 had the greatest impact on health and pleasure with an explanatory percentage of 8.34. Among the neighborhoods of District 8, Madaen has better met the living needs of the residents based on their views during the outbreak of covid-19. This ranking has been done separately in the neighborhoods of District 8, which represents the priority of intervention of the indicators to improve the livability of the neighborhoods based on residents' views. Finally, based on the priority of each factor and residents' views, suggestions have been made to improve the livability of the neighborhoods during the outbreak of covid-19.

Rising demand for energy and an emphasis on environmental sustainability have revolutionized the energy infrastructure in the environment. At the same time, more distributed energy systems are emerging rapidly. These changes will definitely affect the design, operation and management of buildings. In this article, with the aim of evaluating energy efficiency at the neighborhood scale using the lead model for sustainable development in Yousefabad neighborhood of Tehran's sixth district . The type of applied research and study method is descriptive-analytical. The method of collecting library information and detailed data is in the sixth district of Tehran and data analysis has been done using the lead model. Findings show that Yousefabad neighborhood, in total, the score of the studied area out of 35 possible points has obtained about 20.75 points, which indicates that the situation is approximately approved - half of the points obtained - and with other changes. In the range, energy efficiency increases according to the lead model. Therefore, it is necessary to take measures related to energy with the aim of reducing its consumption and achieving energy efficiency, and with its cultural context, cause the socio-economic prosperity of the citizens' environment and at the same time improve the quality of the environment to conserve natural resources.

Equitable spatial distribution of facilities and resources between urban regions, as one of the most important pillars of desirable urban life, is one of the requirements of establishing a dynamic, coherent and progressive society. Considering importance of the issue of equality in the spatial distribution of facilities and its role in human societies, in the present study, we intend to analyze Tabriz metropolitan areas, in terms of development indicators. Therefore, the present study is descriptive-analytical in nature and in terms of purpose it is an applied type. Required data collected from statistical yearbook, comprehensive plan of 2011 and 2016 as well as other valid data of urban organizations in the form of 58 important indices including data related to economic, social, physical, welfare components , Educational and environmental. For data analysis we used Shannon entropy, coefficient of variation and Promethee technique for weighting, dispersion analysis and level of determination, respectively. ArcGIS software was also used to display the results on the map. The results of the research indicate that there is no balanced development indicators between the regions of Tabriz. As only regions 5 and 2 have higher levels of Economic, social, welfare, physical, environmental and educational indexes, regions 7,3,1 and 4 are among the deprived regions and region 10 is among the most deprived regions with not having the mentioned indicators. Overall, the research results show that the situation in the regions of Tabriz is not consistent with the balanced spatial distribution and requires proper attention and management.

Today, organizational knowledge is the most important asset of any organization that is openly or covertly available to human capital. Establishing knowledge management leads to organizational transformation and productivity increases dramatically. This issue is very important for municipalities, whose performance is directly related to increasing the welfare of citizens and the quality of urban life. This study tries to help the policymakers and implementers in the direction of knowledge management by analyzing the current situation of knowledge management and its establishment in Tehran Municipality. Along with this, 18 employees who are currently dealing with knowledge management in Tehran Municipality were interviewed semi-structured. The data were presented after implementation using the data theory strategy of the Analysis Foundation. The findings were presented within the framework of the Strauss and Corbin model. Findings indicate that despite the formation of the Knowledge Management Steering Committee in Tehran Municipality and the unified communication of regulations for the entire organization, lack of support from senior managers for the implementation of knowledge management, lack of macro-management in managers, high turnover rate, and the like, It has created challenges for the optimal deployment of knowledge management in this important organization with 65,000 manpower. In this regard, it is suggested that while confronting any kind of trial and error, the policy-making body be merged with the knowledge management implementation body in the municipality, and for some related organizational positions in different municipal units, the mission-related to knowledge management be defined.

Internal migration is a mechanisms to adjustment with regional socioeconomic differences and an important basis for planning, but received less attention in demographic literature. Migration is affected by a complex factors of determination that requires some powerful tools to investigating. Gravity model is one of the most important tools that examines these factors with two pure and generalized approaches. The purpose of this article is investigating these factors in Iran based on this model. The required data include the number of inter-provincial migrations and socio-economic variables obtained from the 2016 census of the Statistics Center of Iran and selected based on previous studies. The results showed that the pure gravity model can explain 69% of inter-provincial migration, while in the generalized model this reached 91%. In general, the social network factor and then the distance have the greatest impact on regional migration. Analysis of the effect of push and pull factors showed that push factors are able to explain 53% and pull factors 39% of the migration volume between the two provinces. Therefore, according to the gravity model of inter-provincial migration in Iran, the role of push factors is more than pull factors. As a result, the only way to moderate inter-regional migration would be to create services and facilities for less developed regions and reduce regional differences.

A literature review of urban regeneration theories and the trend of its development, especially with the emphasis on the procedural dimension and institutional aspects of these approaches, in the case of global experiences, shows a change in attitude and actors involved in this process. The purpose of this study is to design a top levels model for the urban regeneration management process based on the urban regeneration governance approach. A qualitative method (meta-synthesis) was used to answer the research question. The 7-step meta-synthesis based on Sandelowski & Barroso model was performed. During the research process and selection of entry and exit protocols, from 9189 identified documents (paper. report.book.etc), finally, 46 documents were analyzed using latent content analysis strategy, and 57 initial codes, 14 concepts, and 5 categories were extracted. Then, to calculate the reliability of the codes, the kappa coefficient formula was used, the value was calculated 0.787. Shannon's entropy formula was also used to prioritize the research codes. Finally, after completing the research steps based on the integrated approach of the PCF framework, The Golden Cycle, Porter Value Chain, and 8 urban regeneration Governance, the framework was designed.