نشریه جغرافیا و برنامه ریزی
پیاپی 62 (زمستان 1396)

In a city the price of land and housing from one region to another, Based on the physical and socioeconomic different. The purpose of this study, Analysis of the spatial distribution of land prices And land on urban sustainability indicators is the efficient market. Research method Analytical- Descriptive With the use of data collected through a survey needed to be discussed. The population studied an important loss in district 12 in Tehran. By using Cochran proportional to the population of each district representative was sample of 362 people. Land prices fell in the analysis and efficient market indices Gis in map software is used. review and evaluate the sustainability of neighborhoods of factor analysis and Morris models were used. Spss statistical analysis to examine the association between indicators of the land market efficiency and stability in the region is used. Factor analysis shows that in a physical-functional, Iran neighborhood as the most stable in the last place of an unstable neighborhood and the neighborhood martyr harandi behalf. The social factor also ranked first in terms of stability Darvazehshemiran neighborhood and neighborhood BAHARESTAN numerous volatile neighborhood. In terms of the local economy and local market ranked first in terms of stability bottom of the waterfall is unstable. The relationship between the earth and the efficient market indices Sustainable communities through Pearson correlation showed that A significant relationship between the level of 99% of the land market efficiency and sustainability are areas;

One of the important issues in solving urban problems such as traffic is lack of recognition or evaluation of management solutions in this field. It's clear that through identifying & evaluating various solutions in this field, not only problem solving can be accelerated, but also waste of management costs can be reduced. So, the purpose of the study is identifying & evaluating management & planning solutions in controlling urban traffic in Tabriz metropolis. Kind of research in terms of nature is analytic – comparative, and in terms of goal is practical. Data gathering and its related information is done by library & field methods. In field studies, we have been used Delphi method (using expert's viewpoints) and after final approval of guidelines, the required information has been collected throng providing questionnaire. Data analysis is done by one sample T – test, K – s, Variance analysis and regression (in Spss software). Results from one sample T – test show that the Average amount of studied solutions in order to control traffic is generally higher than the average rate (3.95). Results from regression test also show that people participation approach with beta of 0.360 and smart transportation systems with beta of 0.329 have the most significant effect on traffic control in Tabriz and infrastructure solutions and plans and urban projects with Beta coefficient of 0.160 have had less impact on traffic control of Tabriz.

The sustainable housing Indexs as a plan and a necessary tools have prominent role in rural housing planning for explaining the sustainability of various dimensions such as social, economic and physical of housing. Therefore, supplement of a plan in the sector of rural sustainable housing is required to both recognition and analysis of both various dimensions and components of sustainable housing. So, this paper aims to recognize and analyze the effective factors upon rural housing sustainability and for this goal, the rural area of rurals township of zarindasht has been selected. The method of the research is descriptive-analytic, correlation and the approach is integrated. The statistical population of the research is the households of rurals township of zarindasht. The sample size for the designed questionnaire is determined300 residents using Cochran’s formula and the method of sampling is occasional. The obtained coefficient from Cochran’s formula is 0/74 percent which indicates the high reliability of the research tool. The obtained results from analyzes of the SPSS software show that the five factors of facility - and welfare, economic, building strength, efficiency and harmony with the environment are able to explain 82 percent of the indicators variances of the research and consideration to these factors in the rural housing planning are necessary.

Suitable climate is a natural resource and economic wealth for tourism. It also can be considered as an element which provides some attractions for tourists and thereby can increase the number of tourists and satisfaction. All climate elements are involved in the health, comfort, entertainment and tourist attraction, but some elements such as temperature, relative humidity, sunshine and wind are more important which were studied in this article to indicate the effect of thermal comfort in Tourism attraction in the cities of the Sabalan hillside, which due to their geographical position can be considered as a valuable potential for the development of tourism. This research was a descriptive – analytic one and data collection was done through a library method. In this study, the data and climatic data were collected during the period of 1981-2010 to study the tourism potentials in the Sabalan region. Tourism climate index TCI (Mieczkowski) was used to analyze the data, this index shows climate Tourism for each month of the year in the form of numerical and descriptive index. The results showed that the months of June, July, August and September due to providing best welfare conditions for tourism were the ideal ones. The months of January, February, March, April, November and December had low importance and were in acceptable level but were not so good for tourists. The months of May and October had average conditions for tourism activities. Overall, the best months of the year, June and September and worst months were December, January and February for tourism activities in the cities of the Sabalan hillside.

In this study, non-parametric Mann-Kendall test was used to analyze the trend of monthly mean minimum temperature in the Northwest of Iran. For this purpose, the data from 35 synoptic stations in the cold part of year including November, December and January-to-April have been used in the period of 24 years (1987-2010). Kriging interpolation method was used to obtain spatial distribution of mean minimum temperature over study area. The results showed that the minimum temperature in most parts of study area is rising so that in the months of February, March and December respectively in 22, 19 and 17 stations of the 35 stations were determined an increasing trend. While only in April, at 6 weather stations decreased and this parameter is relatively stable in November and January.
Spatial distribution of monthly mean minimum temperature indicated that this element is lower in the mountainous parts of study area (including Northwest and Southeast) and whiles in lowlands (including Northeast and Southwest parts), is higher than its regional average. It was also found that regional minimum temperature and its trend in the Northwest of Iran Does not have the same characteristics in different months, so that this parameter in January and in April increased and decreased in November and December. Finally, in November and December minimum temperature has not substantially changed.

Accurate estimation of watershed runoff has a crucial role in its management. Until now many researchers used different models such as integrated and distributed models, and also artificial intelligent methods to estimate basin runoff. For this purpose in this study for estimation the runoff of Bara-Ariye basin with an area of 112 km2 and average annual rainfall of 306.72mm, two different models namely WetSpa and artificial neural network (ANN) were used. To run of the WetSpa model two categories of information, including raster maps and metrological data and for ANN model only meteorological data were used. The 5 years data were used to simulation runoff of Bara-Ariye basin. The statistical parameters such as correlation coefficient (R2), the square of the standard error of the mean (RMSE) and mean absolute error (MAE) were used for comparison results of two models. The results indicated that the WetSpa model with R2 and RMSE equal to 0.920 and 0.346 m3/s and also ANN model with R2 and RMSE equal to 0.959 and 0.310 m3/s have the ability to simulate runoff of Bara Ariye River. Also using neural network model reduced the error estimation of watershed runoff 11.6% compared with the WetSpa model.

In this research, factors influencing the advancement of local participation culture in tourism development planning in Maku free zone were evaluated.Research method used was descriptive – analytical and practical. The population studied in this research includes people living around Maku free zone with 183,453 persons, among whom 383 persons were chosen based on Cochrane formula. To gather data for the present study, questionnaire was used which is designed based on 38 questions (4 general questions, and 34 special questions); and to determine its validity and reliability, content validity and Cronbach''s alpha coefficient were used. Obtained alpha was 0.824. The Sample population was selected through simple random sampling, cluster sampling and Stratified sampling. To analyze the data, descriptive statistics and inferential statistics (methods such as regression and path analysis) were used. Based on the results obtained from path analysis and conceptual model test, empowerment of local communities resulted in the strengthening of local social capital, and high level of social capital leads to the increase in local participation culture in planning and development of tourism. Furthermore, comprehensive planning of tourism development provides legal framework for the strengthening of social capital and persuasion of investment in social capacity, and facilitates empowerment of local community.

One of the strategies that in most developing countries for economic and cultural development are considered, the development of tourism in deprived areas with potential for tourism development.Due to this, planning is essential in various aspects of tourismand identify suitable areas for tourism in terms of climatic comfort is important in tourism planning. The aim of this study was estimate the climatic comfort of urban and rural areas of Ilam and Kermanshah and planning for the development of tourism.For this, first survey the tourist attractions of these provinces in the fields of cultural-historical and the natural are actionand then Baker index was used to estimate the climatic comfort.For this purpose, the data required of 8 stations surveyed, in the 20-year period (2013-1993) was extracted and analysis necessary.Finally, for zoning bioclimatic conditions, the data transferred to the GIS software and by using Kriging interpolation, the maps were drawn.The results showed that in 3 monthsonly two stations of Sarpolzohab and Dehloran, in April: stations of Dehloran, Islamabad Gharb, Ilam and Sarpolezahab, In May: the stations of Rawansar, Kermanshah, Kangavar, Islamabad Gharb, Ilam and Sarpolezahab, In June: the stations of Rawansar, Kermanshah, Kangavar and Islamabad Gharb, in July; the stations of Kangavar and Kermanshah, in September and October; Rawansar, Kermanshah, Ilam,Kangavar and Islamabad Gharb and, in November, Dehloran the stations, Kangavar, Islamabadgharb, Ilam and Sarpolezahab, and in December: the stations of Dehloran, IslamabadGharb and Sarpolezahab, Have favorable conditions for urban and rural tourism.

In this research, effect of environmental forcing like topography, direction and sharpness of slope, shape and trend of topography on wind regime formation have been studied in mountainous stations of gilan. The regime of mountainous winds has major effects on the air conditions in mountain regions. This research had been done using hourly data of wind speed and wind direction and also analysis and fitness of topography conditions with theoretical fundamental of research. So it was observed that Masouleh station is one of the best mountains stations in the subject of mountains climatology. Suitable location of this station in the middle slope caused to affected region by upslope wind and down slope wind (katabatic and anabatic winds). Location of Deylaman station on southern slopes of Alborz Mountains had important effect on wind speed decreasing. Wind occurrence mechanism is Mountain wind type along vallay in Deylaman station. Secondary dominant wind was north-northwest thus daily and seasonal behaviors of wind and location of Caspian Sea and Alborz Mountain represent affecting the region by sea-land breeze system. Jirandeh station’s behavior is as an exclusive mountainous station that indicated deep combination but imperceptible influence of the mountain on atmospheric phenomena in Mountains range. Position of station on southern slope provided appropriate conditions to form slope wind occurrence in this region. However stretching of Totkabon- siahrood valley as a wide valley that is branching of sefidrood valley provided appropriate conditions to influx sea-breeze wind. This condition caused destruction of local mountain wind effects during day and night.

The aim of current study are numerical simulation of the role of the Urmia Lake in climatic parameters in surrounding areas of the Lake. For analysis of climatic impacts of the Lake in Northwestern Iran the synoptic data in 5 station in the west and east of the lake were used. For simulation of the impacts of Urmia Lake in mean temperature and precipitation in surrounding areas the Regional Climate Model (RegCM4) and TAPM model and two time series years include 2003 and 2006 have been used. Then by using the models outputs and observed data performance, the models have been calibrated. For modeling the impacts of the Urmia Lake in climatic elements in surrounding areas, two scenarios were considered. First: Existence of the lake at it’s the maximum extent; two: Aquatic body of Urmia lake removed and substituted by an area having coverage of gravel and sand with a texture of loam and also desert. The results of this study indicate that the RegCM model has a good performance than TAPM in simulation of temperature and precipitation in the North West of Iran. By changing the Lake landuse, precipitation of the region will decrease which in spring is more than other seasons. Another impact of landuse change in northwest of Iran is change in mean temperature. This parameter in cold period of year will decrease and in warm period will increase.

Open the mountains of effort (north-south) as well as its geographical position has caused to the natural environment on the slopes of the mountains efforts (east-west) are different. The difference between natural features could, in the proximity of water catchment area in the long term a major impact on the performance of morphodynamic have some water basins. The most significant of these effects, the phenomenon of regressive erosion in the eastern slopes of the mountains efforts in the area of ​​perplexity, the Parliament, Dgrman cache and Aq tea is occurring and its effects on the ridge area to capture some of the Western slopes overlooking river Ardabil plain obvious, that if this process is to expand the most impact and potential damage to water resources will Ardabil plain and subsequent irreparable consequences. The results showed. On the eastern slopes of the mountains efforts in particular, Dgrman basins cache and Aq tea most regressive erosion is taking place. As the ground levels in 1436 and 1404 and 1405 and 1360 and 1348 and 1350 m events captivity rivers occurred, and, if this is in the not too distant future water resources villages Granny bound, head head, Rpatph and blue Bigelow around Ardabil Airport and even much of the Middle Eastern desertcoming to the Caspian Sea.

Spatial patterns of migration in different periods to take a different spatial forms, in a particular time and place so that cities can immigration / high transmittable experience. Unbalanced patterns of immigration and settlement concentrated around particular it usually has important economic, social and political activities are leading to the formation of the spatial arrangement is different from other areas. This paper aims to identify spatial patterns of migration between city and country in 1385 and 1390 and to identify the characteristics and spatial patterns of dominant done. The research method used is descriptive analysis and data on population and housing census used different techniques have been used for analysis.
The results show that the municipalities located in the border areas that are geographically on the periphery of the country has a high origin and the majority of the host city at the center of the country. The area is also the largest area of the country (61 percent of the country) in the city that have high immigration (95 city). 80 city high that only 3% of the area of origin into account. Other city had the lowest dynamics of immigration (78 city). These findings suggest that the center-periphery relations in the country is still in need of policy to achieve regional balance in the country''s planning system.

The growth of urban tourism in different parts of the world and Iran has satisfied part of leisure activity and need of citizens. Therefore, it is an important part of urban management planning. Understanding tourist behavior can help planning and performance, increasing procedure of urban tourism. One of the important factors affecting of tourist behavior is tourist satisfaction that is rooted in the destination image, tourist attitude and tourist motivation. In this research using structural equation modeling relationships between variables in zones 2 and 8 of Tabriz during summer of 2015 is reviewed and paths are tested. AMOS and SPSS software is used in this research. This research is applied and analyzing and questionnaires are used for data collection. Cochran method is used for sample size determination and Chronbach’s alpha has tested the validity and reliability testing of the questionnaire. Results showed that destination image, tourist attitude and motivation have a significant effect on their satisfaction and tourist satisfaction significantly influences on their future behavior. The path coefficient of tourist attitude on tourist satisfaction is 0.599 and is more than twice of the destination image and tourist motivation effect on satisfaction. Effect of the destination image is 0.314 and more than an effect of tourist motivation on tourist satisfaction. Tourist satisfaction has considerable effect on their future behavior with a path coefficientof 1.222.

Following the Iranian government's increasing attention to health care issues, a competitive business environment has been enhanced. This has led to increasing in importance of quality of health care service and levels of customer expectation from health care organizations as a consequence of improve of living standards in Iran. Finding a proper location to establish a new healthcare facility is one of the strategic decisions of managing health care facilities. Aforementioned decision could have a long-term impact on the performance of the health care facilities. Multiple criteria such as governmental requirements, business and competitive factors should be considered concurrently in the facility location decision. In this paper, facility location criteria for a new hospital in Tehran, Mashhad, and Tabriz cities based on the Delphi method and the Porter Diamond Competition Model have been determined. According to the nature of the problem, the analytical network process has been adopted to find the best location via considering a relationship between decision making criteria. Obtained results indicate a selection of Tehran as a best location for establishing a new hospital with a rank of 0.722. The other alternatives include Mashhad and Tabriz are standing in the next positions of the ranking without significant difference with ranks of 0.527 and 0.517, respectively. Infrastructure development and potential tourism opportunities usage are recommended based on the obtained results as a solution to improve the competitive position of Mashhad and Tabriz versus Tehran.

Urban population growth and increasing demand for housing and services in the cities of the country has forced the need for physical development of cities this development in recent decades has been more of external development, and the provision of services and housing has been following by adding to the city's area, that has caused to urban sprawl and deterioration of surroundings and neighboring gardens and agricultures. While that infill development and particularly redevelopment and utilization of land as effective approaches can be considered in reducing damage to the environment and realization of sustainable development of cities. In this regard the aim of this research is to develop a model to identify lands with redevelopment capability and use it to the city of Arak as an example. Therefore, this research tries to answer these questions that how to identify the lands with redevelopment capability? And what are these areas in Arak? For this purpose, an innovative algorithm to identify lands with destruction and redevelopment capability is designed, that urban parts are evaluated on the basis of 8 criteria, construction quality, age of Construction, small lot, permeability, land's price, sponsorship rate, ratio of migration and access to green space. This innovative algorithm has been implemented for example in the city of Arak. The results show that innovative algorithm has nice capability in combination with GIS software and can be used to identify the lands with destruction and redevelopment capability. Also using this algorithm in Arak city lead to identify 4187 pieces with redevelopment capability which has an area of 85.8 hectares and can be used to realization of infill development in Arak city.