Cities are dramatically turning into complex social, economic, and environmental systems. Each urban system is vulnerable when it can not adapt to its changing conditions and critical situations. Therefore, in recent decades, natural disaster response approaches have introduced a new concept of urban resilience to prepare for disaster as much as possible. Is. Despite the recent attention and the abundant use of the concept of resilience in different areas of theoretical and practical limitations of this concept, this study aims to explain the causal pattern of resilience of cities. The present research is based on the descriptive-causal methodology. The statistical sample of the study was compiled by 35 experts and specialists in urban planning. Fuzzy Dumbled Fan was used to achieve the research goal. The findings of this study showed that based on the values ​​of D-R, among the four metrics of urban resilience, the physical criterion with the value (0.943) was the most effective measure of resilience in the city. Also, based on the D + R values, the physical criterion with the value of (896/2) was identified as the most important resiliency criterion in the city.

This research aims to study the impact of temperature and wind in the southern low-pressure system and its associated precipitation in the southern regions of Iran. As The southern low pressure system moves eastward, it crosses the southern regions of Iran, causing medium and heavy rainfall in these areas. In this study, two southern low-pressure systems that caused heavy rainfall on March 11, 2015 and January 17, 2000 in southern Iran were selected, analyzed and simulated using the numerical Weather Research and Forecasting (WRF) model. Since the wind and temperature fields play a significant role in the southern low-pressure systems, four experiments were performed for investigating the effects of temperature and wind on the intensification and weakening of the southern system. The simulation results showed that the simulation for the increased (decreased) temperature caused the weakened (intensified) the southern low pressure in the studied area. This result showed that the vertical structure of the southern low-pressure and its physical characteristics are similar to the mid-latitudes cyclones, and these systems were different from the thermal low pressures. The results of wind speed changes showed that the increased (decreased) wind speed simulation caused an increase (decrease) in relative vorticity, thus the southern low pressure was intensified (weakened). In both cases, the rainfall was decreased by the increased temperature simulation, and decreased temperature caused an increase in rainfall. It was also seen that the increase in wind speed caused the special humidity advection to be increased and then the rainfall increased. Also the amount of rainfall decreased when conditions did not provide for the advection of specific humidity or the wind speed reduced.

The plant community in an area is the most sensitive indicator of climate. A visual comparison of climate and vegetation on a global scale immediately reveals a strong correlation between climatic and vegetation zones and this relationship, of course, are not co-incidental.  The main object of this study is to reveal the spatiotemporal association between climatic factors andvegetation Cover (NDVI) incorporate MODIS and TRMM product in Kohkiloyeh O Boirahmad province of Iran. So that the in this paer we use MOD13Q1  of MODIS product as NDVI layer for study area. MOD11A2 as landsurface temperature and 3B43 TRMM as meanmonthly accumulative rainfall for study area during 2002 to 2012 in 0.25° spatial resolution also were used as climatic factors. We use the correlation and cross-correlation analysis in 0.95 confident level(P_value =0.05) to detection the spatial and temporal association between the NDVI and 2 climatic Factor(LST and rainfall). The results indicated that during winter (December to March) the spatial distribution of NDVI is highly correlated with LST spatial distribution. In these months the pixels which have the high value of NDVI are spatiallyassociated with the pixels which have highest value of LST (6 to 14C°).As can be seen in table 1. Season the spatial correlation among NDVI and LST is so high which is statistical significant in 0.99 confident level  in winter. In transient months such as May, October and November,(temperate months in study region ) the spatial correlation among NDVI and LST is falling to 0.30 to 0.35 which is not statistical significant in 0.95 confident level. Finally in summer season or warm months including Jun to September, we found the minimum spatial association among the NDVI and LST.. In temporal aspect we found that the maximum correlation between NDVI and LST simultaneously appears and not whit lag time. The spatial correlation of NDVI and TRMM monthly accumulative rainfall was statistical significant in spring season (April to Jun) by 1 month lag time in remain months we don’t find any significant correlation between NDVI and rainfall.

The ‘Smart mobility’ has become an increasingly prevalent discussion topic in the past few years, not just in academic literature but also in cities’ policy and strategy. However,in many cities of the world and in our country, Iran has been associated with problems such as lack of citizen participation and inequality (caused by inefficient urban management). The present study has attempted with an innovative perspective to evaluate the existing infrastructure of mobility indicators (including transport infrastructure, public transport, sustainable transport, ICT) and the social dimensions of these infrastructures including the extent of citizen participation in use. Of these infrastructures) in eleven districts of Shiraz.The research method is descriptive-analytical and based on documentary and origin studies. Data gathering was field study by using a questionnaire. The 5-degree Likert spectrum technique was used to measure the value of indicators of the Smart Mobility. The results show that average smart mobility was higher in regions 1 and 6 than in other regions. the average smart mobility indicators are in 11 and 9 the lowest in other regions. The Urban Smart Mobility variable does not have an appropriate position in Shiraz, and this has not only affected its development process in recent decades, but also poses many challenges for its future development. Accordingly, urban planners should Consider the citizen participation and efficient urban management.

Urban development and air pollution are among the most important issues related to climate. The expansion of urbanization and urban development, population growth, industrial development and excessive use of fossil fuels significantly increased air pollution and it is more than the capacity of the environment. In our country, the emissions of air pollutants in some metropolitan areas have reached a dangerous level, Mashhad is considered to be the most polluted cities of the country in some days of the year. Nitrogen dioxide is one of the indicators of air pollution. In this study, the OMI data and atmospheric parameters such as wind, surface temperature, and horizontal visibility data for the period from 2004 to May 2016 were used to investigate the air pollution in Mashhad. The results show that the maximum (minimum) nitrogen dioxide levels occur in the cold (hot) season. The highest amount of nitrogen dioxide in January is equal to 5.56 × 10¹⁵  molec/cm² and its lowest value in September is 4.18 × 10¹⁵  molec/cm². Standard deviation of nitrogen dioxide also indicates that the greatest changes occur in cold seasons. Also, the results showed that the dominant wind in the city of Mashhad is from the south, and most of the winds are slow. Correlation coefficient of nitrogen dioxide with wind and surface temperature is -0.36 and -0.57, respectively, which shows the higher importance of temperature in nitrogen dioxide changes in Mashhad city. The correlation coefficient of nitrogen dioxide with horizontal visibility is -0.15, which indicates that with increasing nitrogen dioxide contamination, horizontal visibility decreases. Spectral analysis of least squares of the six and twelve-month periods of rotation was observed, they were also statistically significant. After eliminating the significant components of the time series of the average monthly nitrogen dioxide, the trend was calculated. The amount of nitrogen dioxide in each year for Mashhad was 2.41 × 10¹³  molec/cm².

Despite Iran's capabilities in the field of tourism, unfortunately, it has not been able to achieve a worthy position in this industry. One of the factors that can develop and improve the country's tourism industry is the use of effective marketing tools and parameters, including introverted marketing. This research is applied in terms of purpose and descriptive-analytical in terms of method. The statistical population of the study consisted of incoming tourists to hotels and restaurants active in the city of Rasht who were active in social networks. The sample size was estimated to be 384 using the Cochran's formula. The data collection tool was a researcher-made questionnaire whose validity was confirmed as qualitative and quantitative validity and its reliability was confirmed using Cronbach's alpha method and combined reliability. In this study, in order to analyze the research data from the software SPSS and Amose were used. The findings of this study showed that the components of social construction, social listening and online content of introverted marketing have a positive and significant effect on the intention of electronic advertising. The results of this study also showed that the components of introverted marketing, ie social construction, social listening and online content have a positive and significant effect on the selection of tourism destinations. Other results of this study can be the positive and significant effect of advertising intentions on the choice of tourism destinations and also the mediating role of this variable in the relationship between the components of introverted marketing with the selection of tourism destinations.

Today, due to climate change, natural hazards and how to deal with them are among the most important concerns of researchers in environmental planning and crisis management. The purpose of this study is the assessment of the potential flood risk in Sarbaz drainage basin. For this purpose, the databases including elevation, slope, geological characteristics, soil characteristics, precipitation, vegetation, land use, and vector layers of the main channel, streams and drainage densities of the basin were used. By using the questionnaire and experts' opinion as well as hierarchical analysis, the weight of influences of each layer was calculated in basin flooding. Each of these layers was classified based on the flood potential from low to high-risk scale and eventually merged with the weighted overlay model in Geographic Information System. The results showed that main streams, land use, and precipitation are the most important components in the flood risk of the Sarbaz river drainage basin. From the total area of the Sarbaz basin, only 0.5% has a high to extremely high flood potential, and the central areas of the basin have the highest potential for flood due to topography and special hydrographic conditions. In addition, the main river basin districts towards the outlet of the basin as well as parts of the margins of important sub-streams have the highest flood potential. Despite the limited area of the high-risk zone, due to population density and agricultural land, the importance of this area is very high in crisis management.

One of the main tasks of urban and regional planners is the allocation of land to various urban uses, taking into account the role and function of the city, the city's economy, as well as the impact of interoperability of the users on each other. The topic of optimal location of therapeutic use is considered with consideration of effective parameters and factors in this research. According to the current situation in Shirvan, there are 3 clinics in Shirvan that their distribution and location seems to be inappropriate. Therefore, for prospective plans and according to the horizontal development of the city, assessment of these bases it is also a good idea to suggest places to establish clinics. This research is aimed at finding optimal location of clinics in Shirvan city by providing appropriate model. The research method is descriptive-analytical. In the first stage, identification and investigation of the effective factors on site selection of databases was investigated. Then using Arc GIS software, after completing the data gathering steps, preparing information layers, classifying and evaluating the layers, and weighing and overlapping the information layers were designed to prioritize the lands of the city of Shirvan for the establishment of clinics. The results showed that the clinics focus on the eastern side of the city, and central and western parts of the city are severely restricted in terms of access to clinics, and the population of 83,000 people in the city is only 28136 people in The standard radius of clinics is standard; in other words, about 75% of the population of the city is outside the standard radius of clinics and the radius of access to clinics is not suitable for citizens of the city. The city of Shirvan needs another hospital that is located in a location on the western side of the city.

The irregular exploitation of groundwater aquifers in Shahriyar Plain has caused the drop of ground-water level in the region. Artificial nourishment of aquifers can increase the size of ground-water storage, reduce its level drop, and also prevent the advance of brine and drying of the aqueducts. In this study, we tried to integrate GIS and Boolean logic in order to identify the best areas for artificial recharge in Shahriar Plain. So, the seven factors (slope, permeability, thickness of alluvium, portability, both drop zones, land use and electrical conductivity) of water samples were specified in GIS and then respective maps were prepared. Then, using the acquired weight of each layer, maps for each weighted factors of locating were integrated. Using Boolean logic, final maps were prepared in two classes: suitable and unsuitable. Finally, the best place for the implementation of artificial recharge of aquifers in the region was identified. Results indicated that the suitable regions mostly lie in areas with slopes less than 3 % and that they are mostly near Chitgar river.

The purpose of this study was to investigate the factors affecting housing prices in the Laleh Park district of Tehran. In this study, the data of all real estate traded in the first six months of the year 2016 was used in the study area. Information about the physical properties of the residential units trained is collected from the Real Estate Market Information System of Iran and is used to obtain information on the accessibility features of residential units traded using ARC GIS software. Multivariate regression analysis has also been used to investigate the factors affecting housing prices. The results of this study showed that the physical factors of housing are more effective than the access factors in the housing prices in this district . Among the selected features, the variables of residential area, parking, and skeletal type had the most positive effect on the price of housing in the area under study. On the other hand, some of the features, such as the distance from the residential unit to the nearest main street, the residential unit to the nearest educational user, the residential unit distance to the nearest health care provider, and the residential unit's age, had a negative effect on the housing price in the Laleh Park district .

The importance of retail in the marketing process has become weaker with the development of shopping centers today, The growth of shopping malls in the metropolitan areas of Iran has been increasing over the past few years and there is no longer competition for retailers. Therefore, surveying the behavior of consumers in their shopping centers is a competitive strategy for the owners of these industries in order to compete with retailers and other shopping centers. The statistical population in this research is Shopping centers of Tehran, Isfahan, Alborz and Mazandaran. The method of selecting shopping centers based on artificial intelligence studies has been done through genetic algorithm. The criteria for choosing the centers are optimal according to the principles of urban management. Using a conceptual model through structural equations of partial least squares, using the Smart PLS software, the statistical population of the study was 384 people. The results showed that the variables of beauty, escape, role play, comfort, brand identity, social responsibility, and impunity affect consumers' behavior in shopping centers, The results of this study have been able to provide a native model with respect to the structures of shopping centers in Iran.                                                            

Many factors, including cultural factors, currents and schools of thought, and patterns of urbanization in the world are influential in the physical structure of a city. The physical structure of the city is the result of all the forces that give rise to the formation and formation of a settlement and has an objective and mental appearance. The growth and development of cities, due to various events in all historical periods, has been declining and rising. Nowadays, knowledge of the physical structure of the city and the reasons that govern its spatial expansion in different periods is necessary to control its expansion and is one of the important factors influencing the success of urban planners and designers. This study was written with the aim of identifying and prioritizing cultural factors affecting the physical structure of the city with emphasis on indigenous architecture. The present research is applied in terms of purpose and descriptive-analytical in terms of method. Library and field methods were used to collect information. The statistical population of the study consisted of experts and specialists in architecture and urban planning, with a sample size of 30 people. In order to achieve the objectives of this study, the fuzzy Delphi technique and the BMW model were used. The results of fuzzy Delphi technique confirmed the identified factors and sub-factors. The results of the BMW model showed that among the identified factors, the privacy factor with a final score of 0.298 in the first place, the security quality factor with a final score of 0.273 in the second place, the nature connection factor and social interactions with a final score of 220 / 0 is in the third place and the hierarchical factor is in the fourth place with a final score of 0.209.

The purpose of this study is to investigate and analyze turbulence, fluctuations and jumps of Iranian regions. For this purpose, environmental data has been gathered in two parts. In the first part of the data, the results of the interpolation of the daily precipitation observations of 1434 stations of climate and climate were used from the beginning of 1340 to 1383. After the formation of a database to identify the Iranian regions, a cluster analysis was used on average data and annual and monthly rainfall variation coefficients. Silhouette analysis has been used to validate the Iranian rainy areas. In order to investigate disturbances, mutations and fluctuations in Iran's rainy areas, this study was carried out. The results of cluster analysis indicate that Iran's peripheral areas are divided into six classes. In the meantime, the Caspian region (area 4) has the highest rainfall and the lowest coefficient of variation. The distribution of rainfall regime in each of the six areas shows that Iran's precipitation regime is more frequent in winter and spring and sometimes in autumn. Investigation and analysis of rainfall turmoil has shown that rainfall, except in the 4th district (Caspian region), in other areas of distribution of rainfall occurred along with disturbance. Although most disturbances occur in the zagros area, the highest sequence of disturbances is related to the fifth load region. The least sequence of disturbances occurred in the central and eastern part of the country. The results of mutation analysis and fluctuations indicate that rainfall disturbances, except in the early years of precipitation regions two and five in other regions of the other regions, have no significant mutation, while short-term fluctuations of 3-5 years on rainfall Each of the six domains has dominated.

Livestock farming is one of the most important activities in rural areasand most villagers, along with agriculture and horticulture, are engaged in animal husbandry (Livestock storage) and some products of the villagers in the agriculture and horticulture sector are devoted to livestock feeding, and others are consumed or sold, such as lob bits, live meat and etc. The purpose of this research is to analyze the effects of livestock economics on sustainable rural development. The present research is applied in terms of purpose and is descriptive-analytical in terms of its nature and method. Library and field studies have been used to collect data. The study area is East Gavdoul District in the Malekan County. According to the census of this region, there were 2306 households and 7468 inhabitants in 2016. According to the Cochran formula, 283 households were selected as the statistical sample of the research. This sample was randomly selected from households with livelihood economics. To analyze data on inferential statistics, one-sample t-test,  regression,  analysis and performance diagrams were used. The results of this study showed that there is a positive and meaningful relationship between livestock economy and sustainable rural development with a correlation of 0.400 and significance level of 0.30; So, for the dimensions of livestock economics,  the economic sector with the impact of 0.743 and the social sector with the impact of 0.355 have the most impact on the sustainable rural development in the region. Also, the physical section with an impact value of 0.176 has had the lowest level of impact on sustainable rural development in the region. The general results of the research show that the economic sector with 0.41% and the social sector with 0.31% have a positive effect on the development and expansion of the livestock economy of the area.