In public organizations such as municipalities, the design and deployment of a performance and control assessment system can lead to the proper management of urban managers on the road to achieving goals, tasks, strategies and development plans and urban development, in accordance with the quality, cost and time desired. Therefore, this article attempts to study the satisfaction of urban performance in urban services by using the views of citizens of the city of Farouj. For this assessment, using theoretical studies, 21 types of urban services were selected in three sections: Technical, Public and Cultural Services. At the next stage, the questionnaire was designed based on these services. Then, 400 questionnaires were distributed among the citizens of the case study city. In the next step, 380 questionnaires were completely and correctly collected and entered into SPSS software. Finally, the results of the study were analyzed by statistical tests. The results of the research indicate that the average satisfaction rate of public services in the city of Farouj is 3.53, which can be said that the level of citizens' compliance with this service is in the middle level. The average satisfaction rate of technical services in the city of Farouj has been calculated to be 3.31, and the average satisfaction rate of cultural services in city of Farouj has been calculated to be equal to 3.5. The results of statistical analysis indicate that the level of significance is more than 0.05 in relation to four of the urban services. This means that in terms of the services of sports spaces, the collection and disposal of surface water, the quality of leisure travelers and the respect of the clients, the level of satisfaction of citizens is equal to the average. In relation to two indicators of pedestrian quality and public participation, the mean difference with the statistical test was calculated to be 0.16 and -0.19 respectively, which indicates that the satisfaction of these services is lower than the limit on average. In other indicators, citizens' satisfaction is above average

Today, the huge economic damage of natural hazards, especially of the micro-organisms, to human societies has led the concept of economic sustainability to mitigate the effects of crises to become an important area in crisis management. The purpose of this study was to investigate the role of environmental hazards (effluents) on Ahwaz economy. This research can be considered as a type of applied-development research, and is a descriptive-analytical study in a correlation manner. The population of the study consisted of all residents of Ahwaz, in 1395, there were no more than 1302000 people. The sample size was 384, based on the Cochran formula, and randomly available. To investigate the data, the structural equation path analysis was used in Amos18 software. The results indicated that the microprocesses had an effect on the economy of Ahwaz with a coefficient of 0.31 and a significant level of 0.002. Also, the effect of fiery gradients was 0.73, and the significance level of 0.000 on the tax, the microguns, with the coefficient of influence 0.45 and the significance of 0.000 per facility, the effects of the micrographs with the coefficient of 0.55, and the significance of 0.000 on the housing, With a coefficient of influence of 0.17 and a significant amount of 0.008 on transportation. Accordingly, microblogging has the most impact on finance with a coefficient of 0.73, and transportation with a coefficient of influence of 0.17 has had the least effect.

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 .