فصلنامه برنامه ریزی توسعه کالبدی
پیاپی 26 (تابستان 1401)

The rural environment is one of the elements of the spatial organization and the landscape of the village with its different physical, functional and semantic dimensions has a special importance and place in the visual organization of the rural environment. Changes in the lifestyle and needs of the villagers in recent years have also intensified and accelerated the process of landscape change. Therefore, the management and planning of these spaces, like a living entity in the suburbs of metropolises, require considerable attention. The present applied research with a descriptive-analytical method is aimed at identifying the indicators of landscape explanation and the extent of its changes in the villages on the outskirts of Mashhad metropolis. To collect data, documentary and field methods (questionnaire and observation) have been used, and data analysis has been done by (Kruskal-Wallis, Wilcoxon and Friedman) tests. The results indicate that among the landscape components, the landscape identity component has changed the most. In fact, the occurrence of physical changes in the villages has caused a decrease in the sense of reminiscence, vitality, freshness, the degree of harmony of different spaces and the fading of local cultural values. Finally, the physical changes have caused "a further change in the identity dimension of the rural landscape". The results of Friedman's test show the highest change in the land use index among all the landscape indices. Therefore, landscape changes should be considered as the most important consequence of land use change.

Rural housing is a physical, social, economic, cultural and environmental phenomenon. Housing has always been linked to the livelihood and economic activity of the family and the village. Livelihood-oriented rural housing has tended to be identified with urban housing in recent years, and the share of livelihood-oriented housing has decreased. The purpose of the present study is to identify the challenges facing the development of livelihood-oriented housing. For this purpose, in the first stage, six townships from six provinces were selected by cluster method, and then 13 villages were selected based on different demographic and socio-economic spectrums. Using systematic random sampling, 332 questionnaires were completed. Field findings showed that the respondents agree more with the influence of structural intervening factors in the formation of livelihood-oriented housing than with human and social factors. Factor analysis also confirmed this issue. Therefore, it is suggested that while modifying the procedures and content of development plans and technical rules and regulations and defining financial support packages, the education of the new rural generation should also be on the agenda.

A safe urban environment with suitable infrastructure to prevent crime and creation of psychological security in people increases the sense of presence in the place and increases the social interactions of citizens in the city. Then all sections of the society will be actively present in urban spaces at night without experiencing fear and crime. In this way, the vitality and livability of the urban space increases. Using the descriptive-analytical method, this article investigates the role of environmental design and urban planning in preventing crimes and improving security in the new city of Hashtgerd with the CPTED approach. Data were collected by documentary and field methods. The statistical population included the citizens of Hashtgerd (49,417 people), of them 380 samples were selected using Cochran's formula. Data analysis was done with TODIM multi-criteria decision making model and path analysis test and DPSIR model with the help of Excel and SPSS software. The findings showed that the status of urban design and planning components effective in improving Hashtgerd city security and crime prevention is acceptable with an average of 3.42. According to the DPSIR model with the weighting coefficients of the Todim model, the indicators of the subcategory of the "impact" component with a score of 0.724 have had the greatest impact on improving security and crime prevention. According to the path analysis test, the "answer" component by emphasizing the design of furniture and urban elements in public environments; making the neighborhood suitable for vulnerable groups; The lighting and legibility of the city, especially at night; and the management and protection of the environment with a direct effect of 0.527 is most related to the promotion of security and prevention of crime in Hashtgerd city.

Due to human activities, the face of the earth is always changing. For the optimal management of natural areas, it is necessary to know the trend and amount of changes in vegetation/land use. Estimating these changes is very important. The purpose of the present research is to monitor land cover changes using satellite images in the Gorganrood watershed in Golestan province. The images of TM sensor in 1987, ETM+ sensor in 2000 and OLI sensor in 2019 were processed and analyzed. After performing geometric and atmospheric corrections, monitoring and classification of images using six change monitoring techniques in Gorganrood basin with an area of 8020 square kilometers were analyzed and the changes occurred in this basin in two time periods, from 1987 to 2000 and 2000 to 2019 was investigated. Change monitoring techniques include red band difference, infrared band difference, PCA difference and standardized PCA difference, change vector analysis and comparison after classification. Statistical methods have been used to determine the threshold. After determining the change threshold, the areas with decreasing, increasing and unaffected changes have been identified. In order to evaluate the accuracy of change monitoring techniques, after the ground impressions obtained through field visits, Google Earth satellite images and aerial photos, the manufacturer's accuracy, the user's accuracy, the total accuracy and the Kappa coefficient were used. The results showed that the standardized PCA1 method had the highest total accuracy and kappa coefficient in both periods. The values of these two parameters are equal to 96.5% and 94% for the first period and 91.5% and 86% for the second period respectively. PCA1 method with overall accuracy and Kappa coefficient equal to 84.5% and 74% for the first period and 89% and 82% for the second period after standardized PCA1 method has the highest level of accuracy among other methods. On the other hand, the near-infrared band difference method had the lowest total accuracy and kappa coefficient in both periods compared to other methods. The results also show that between 1987 and 2019, agricultural lands (rainfed) had the most positive changes. The extension of these lands has mostly been at the price of loss of pastures (due to higher fertility). In the space of 32 years, pastures have also undergone changes and transformations, and the decreasing changes in them can be attributed to the plowing of pastures and their allocation to agriculture.

Forest fires, whether of human or natural origin, are one of the most important challenges in recent years as a crisis. The aim of this study is to prepare a fire potential map using the geographic information system in the forests of rural areas of Asalem city in order to manage these areas for the executive departments. In this paper, zoning of fire hazard was investigated by spatial analysis method and using fuzzy hierarchical process and GIS. Using digital-elevation model, slope, geographical directions, altitude maps were prepared and then type of vegetation, roads, rural settlements and farmlands were mapped. In order to rank and weighting the effective criteria in the occurrence of fire through the method of fuzzy AHP, first 30 questionnaires were distributed among fire experts in the study areas. And they were weighed in the AHP fuzzy. Then the weighted layers were evaluated according to the Raster calculator order in GIS and using fuzzy membership functions. Forest fire risk zone mapping were classified into five classes of areas with very high potential to very low potential. From the total of the study area, the area of very high fire risk is equal to 7170 hectares and the area of very low fire risk is 6908 hectares. The results showed that after the fieldwork, the areas with fire history in previous years were completely matched with the final potential map. 48% of the fires occurred were in areas with high and very high potential.

Drought is one of the most complex and unknown natural disasters that causes irreparable economic, social and environmental damages to rural settlements. The purpose of the present study is to evaluate the vulnerability of rural settlements to drought using the Coopras model in the villages located in the drought areas of Darab township. First, the drought areas of the township were determined using the rainfall statistics of 10 rain gauge stations based on the SPI (Standardized precipitation Index) model. Then, using Shannon's entropy model, 19 vulnerability variables were investigated in drought zones. Finally, using the multi-criteria decision-making model of Coopras, the ranking of the villages located in the study area was done. The results show that drought has had the greatest impact on the variables of destruction of surface and underground water sources, reduction of per capita income of farmers, abandonment of agricultural lands due to drought and migration of villagers. The results related to the ranking of the villages affected by drought show that the villages of Daulat-Abad, Darnganeh, Shahrak-Bostan and Bahadoran were the most vulnerable to the phenomenon of drought and the villages of Tal-Bargah, Junan, Nasravan and Qala Naw were less vulnerable than the surrounding villages.

According to the chaos theory, there is a pattern of order within disorder and chaos. The city also acts as a complex and chaotic system that will try to achieve a new order with the arrival of disorder. "Covid-19 phenomenon" can also be considered as a chaos, disorder and shock on human civilization and creating an alien and unfamiliar situation in cities. In order to deal with this new and unusual virus, the conventional and existing methods of governance and management in our cities will not work, and a new urban order (smart governance) and new and targeted methods of management and governance should be examined and selected. The existing chaos and disorder should be moved towards self-order, self-organization, sustainable and reasonable development and excellence in the future. In the present study, to examine and identify the indicators and sub-indicators involved in the new urban order or smart urban governance and prioritize their role in reducing the harmful effects of Corona and its impact on progress, sustainable development and excellence in the city of Semnan with a confirmatory factor analysis model and SEM modeling is done with AMOS. It is also possible to turn "smart citizens" into a big opportunity in the post-corona era, along with smart urban infrastructure. After identifying and prioritizing the indicators and sub-indicators involved in this new urban order, a sample of 22 people including elites and experts in various fields of urban planning and smart city, urban planning and urban management was selected. A number of 38 questionnaires were also distributed among the residents of Semnan in order to confirm the validity and reliability of the questionnaire. Then, based on the sample size, the main questionnaire was delivered to 721 people. After analyzing the questionnaires, the smart governance variables were examined and prioritized using exploratory factor analysis in statistical software. Then, the extracted components were named and in the next step, the structural validity of the research was tested using confirmatory factor analysis in AMOS. The statistical relationship between the variables and its indicators was confirmed. In the final model of the research, using model fit tests, the relationships between variables and the influence of independent and dependent variables were confirmed. Based on the results, "smart citizens and smart infrastructure" will be the most important and influential variable of smart governance in Semnan city. The next positions will be for smart economy, smart life, smart mobility and smart environment, respectively. The findings indicate that the importance of the smart citizen index with 32.239% of explained variance is more significant than other factors. "Smart Citizens of Semnan" will be the first factor to achieving smart governance in Semnan. Making citizens smarter requires education, infrastructure and targeted planning. To achieve intelligent governance, people must be educated. By raising awareness, building culture, and creating infrastructures and encouraging citizens to use services and know modern technologies, it will cause sustainable and reasonable development and excellence of the city.

The village is the first form of human collective life in a natural arena that has special economic, social-cultural, and physical characteristics. With changes in the activities and characteristics of rural settlements through the expansion of physical space, increase in population and changes in functions, some of them undergo profound transformation. Over time, they experience special physical conditions and gradually become inclined towards urban functions, and the activities also change from agriculture to industry and services. The present study was conducted with the aim of measuring agricultural land use changes and its physical-spatial consequences in Khammam district. The applied method is descriptive-analytical. Data and information have been collected by observation, documentary and field methods. GIS software is used for data analysis. Then, the changes in agricultural land use from 1996 to 2016 have been extracted, compared and analyzed in three classes of agriculture, man-made and barren space. The findings indicate that a significant area of productive land in the studied villages has been changed in favor of other uses. Field observations and questionnaire outputs also indicate that a large area of agricultural land, especially in the target villages of tourism, has been converted into second homes, tourist towns and residential complexes. Also, Most of the effects of tourism are on garden and agricultural lands.