analytical hierarchy process (a.h.p)

One of the most critical responsibilities of bank managers is liquidity management. The purpose of this study is to design and implement a combined mathematical model of the Analytical Hierarchy Process (AHP) and Goal Programming (GP) for bank liquidity management. Initially, a conceptual model was drawn up, followed by the definition of model variables based on the bank's financial statements. Due to the presence of multiple, conflicting goals and the differing importance of each goal, the GP technique was utilized. The weighted nature of the GP model allowed for the calculation of the importance of ratios affecting the bank's liquidity within the objective function through the Analytical Hierarchy Process. The model was solved, and the analytical results were presented to bank officials. Finally, the effectiveness of the proposed model was validated through a survey of seven main questions related to seven evaluation dimensions from 30 banking experts. Given the similarities in banking systems in the country, with minor modifications, the proposed model and pattern of this research could provide the necessary foundations for efficient liquidity management in other banks as well as help other Iranian banks to enhance their liquidity management efficiency with some adjustments.

There are various systems for ranking universities at the national and international levels which measure universities by different indicators and show their strengths and weaknesses compared to other universities. But the ranking system of the country's universities, which is based on national and international conditions, is more important than ever. Therefore, the main purpose of this research is to design a model for a comparative study and ranking of universities in the country. This research is applied in terms of purpose and is quantitative-qualitative in terms of type. The study population consists of experienced people involved in the development planning of universities in the country. To determine the sample size, the theoretical impregnation method was used. In this research, first, the necessary information for theoretical discussions was collected through deep study and review of related documents including the published scientific resources,  Then, using the content analysis method, criteria and indicators of university assessment were collected, and finally, the task of determining criteria weights and indicators was done by analytical hierarchy process (AHP) method based on expert opinions. Finally, the model was presented to evaluate and rank the universities of Iran. According to the results of this research, seven criteria and 33 concepts were obtained, which, in the end, according to the weights criteria the ranks were rated. The following rankings are related to the quality of research, international credit, social and cultural credibility, the degree of innovation and financial efficiency, the rate of training of experts, and facilities.

Throughout history, human has always been relied on his environment to provide his basic needs. Defining suitable use to optimize utilization of land as well as prevention of land destruction by population increase may be a useful step to achieve the goals of sustainable development. For this manner, it is also necessary to consider the land potential. In order to fulfill the goal of sustainable development it is worth to use the capabilities of GIS to increase the speed and accuracy of the environmental assessment. In this study the capabilities of Taleghan watershed is processed to determine the utility of area. The activities which are accessed are expanding forestry applications, wide ecotourism and urban and rural use. In this research AHP as a powerful multicriteria decision making method was used.

Implementation First, all the necessary information and essential maps were collected. After that based on Makhdoom’s ecological model for Iran, all the layers of each user was evaluated. Then, using fuzzy membership functions each map was fuzzified. Fuzzification of criteria map is the best way to consider the uncertainty lies in the maps.After this step, in order to determine the weight of each criterion by AHP method, questionnaires were designed that the preference of each criterion over the other for different uses was assessed by a number of experts in this field. Implementation of AHP was done in Expert Choice software which results in determining the weight of each criterion. Next, the weights assigned to the criteria maps in ArcGIS software. Finally forbidden area for developing land-uses was added to the process. Limitation layer for forestry uses includes residential and urban lands. The output of layers integration function is a map in which all points of utility construction are expressed numerically between 0-1.

According to the results 16% of the area is appropriate for urban and rural development, 8% for the user "wide ecotourism" and 44% is perfectly suitable for forestry. Also, 70% of the area of urban development, 85% for the user "wide ecotourism" and 12% for forestry has been quite favorable.

The role of line managers is vital and undeniable in realization of the linkage between HRM practices and performance. The specifications of that role have not received sufficient scrutinization in previous local studies. In this study, for the first time, by applying a new theoretical model and a new method, in National Oil and Natural Gas Company, we tried to deeply investigate the role of line managers in HRM black box, identify their challenges in fulfilling their practical roles, and prioritize the importance of each challenge

Regarding the method, current study composed of two separated phases. First, by applying a meta-synthesis approach, known as ''mixed research synthesis'', and by methodological scrutinization of 243 credible articles, we came up with a thorough description of line managers’ status in HRM black box and investigated their functional/practical challenges. Second, by using AHP method, the identified challenges in the first step were prioritized.

The phase of identification line managers’ practical challenges, led to explanation of many factors which then were categorized into five general challenges. In the factor prioritization phase, "CEO & HR managers support" was determined as the most important challenges, followed by "Knowledge, skill & ability", "commitment to people management". Finally, both factors of "role ambiguity & inconsistent priorities" and "load of work" together were rated as the less important challenges.

When line managers fail in their effective roles in relation to HRM-related duties, the probability of failure in all HRP efforts and subsequently wasting organizational resources will be high. Accordingly, it is essential for CEOs and decision makers to consider line managers’ functional challenges and particularly focus on solutions to overcome them. At the end, in addition to discussion of the findings, future research directions are provided.

The aim of this study was to use of Gray Cluster Analyze (GCA) Method in Site Selection of Sport Places in Cessation Spatial status. The study area of research was three regions 5, 6 and 13 of Isfahan city (Iran) that has 34% of total area and 21% of total population of Isfahan city. For data analyzing was used of Excel, Arc/GIS, Arc/View and Auto Cad software and also coding in MATLAB, and for site selection in cessation spatial was presented a algorithm by Gray Cluster Analyze  Method. Results show that by according to complexity of urban texture and non stable for criteria of site selection of sport places, Gray Cluster Analyze can present valid outcome by controlling all criteria simultaneously, that this issue is impossible in other methods.

Outlining policies for air pollution control in the country began with the adoption of the law on how to prevent air pollution in 1995, and with the enactment of the Clean Air Law in 2017, it has entered a new phase. Despite the various measures taken to implement these policies, the desired results have not yet been achieved. The main reasons for this issue seem to be related to the implementation of such policies. Therefore, since there is a scientific vacuum present in this field, this study aims to design a native model to ensure the implementation of policies which prevent and control air pollution in Iran; this was done by using the Mixed Research Method. Therefore, during the qualitative part of this study, necessary information was collected by examining documents and semi-structured in-depth interviews. Then, in order to extract the elements and components of the model, this information was coded and analyzed using the Thematic Analysis Method at three levels: descriptive, interpretive and macro. The research community includes all official documents and reports and the views of policymakers, executives, and academic elites.Analysis of the qualitative data in the coding process led to the emergence of 90 indicators, 23 components and 7 main dimensions, which in turn presented a network of themes. Thus, a native model, which ensured the implementation of policies preventing and controlling air pollution in Iran, was obtained. In the quantitative part of this research, the dimensions of the model were prioritized using the Analytical Hierarchy Method and it was based on the opinion of elite experts. Their coefficients of importance were determined as follows: policy-making - 0.27, planning and mobilization of resources - 0.2, management and implementation network - 0.19, monitoring and evaluation - 0.13, native capacities 0.09, beneficiaries and target groups - 0.8 and background factors - 0.06.

Floods are one of the biggest global problems, so with the increasing intensity and frequency of floods, global concerns about increased mortality and economic losses due to floods have increased. In this research, using geographic information system (GIS), satellite images, synoptic station data, hierarchical analysis (AHP), and layer integration (WLC) method, flooding potential of Qarah_su catchment modeling Has been. The final flood risk map was prepared based on a combination of climatic and physical factors and elements, i.e., ten factors of vegetation, altitude, flood channel, geology, land use, rainfall, distance from the river, slope, soil, and drainage density. The weight of each criterion was used by the Analytic Hierarchy Process (AHP), and the weighted linear composition (WLC) method was used for spatial modeling and layer integration to prepare the flood potential map. The results of flood risk zoning showed that the 4th class as a high-risk category with 21.7% and the 5th class with a very high flood potential with 8.4%, more in the northern mountainous areas. And are located in the center of the region. In total, about 31% of the catchment area is covered by high to very high-risk flood areas, and because they have the most considerable role in runoff production, they should be given special attention in terms of watershed management. Classes one to three with low to medium flooding potential are located in low-lying areas, slopes, and plains of the center, south, and west of the basin and cover more than 69% of the area.

Geotourism which is one of the tourism branches is economically profitable industry. Economic balance between the different areas, protection of natural heritage, preventing environmental degradation, creating job opportunities, improving the quality of cultural perspectives could be considered as positive consequences in the planning of this type of tourism. The purpose of this research is to investigate the geotourism potential of Rafsanjan County using remote sensing and geographic information system (GIS). In order to reach this purpose satellite image processing, along with field observations surveys and other sources of information such as reports, roads, soil and geology, and topography, maps were utilized. First the effective factors on geotourism were discriminated using study of different literatures and interview with experts. Then the data for these factors were prepared through satellite images, field data, topography and geology maps and their database were created at GIS. Finally the suitable value were assigned to each factors according to the questionnaire and the geotourism potential were determine through analytical hierarchy process (AHP) and weighted overlay model. The results revealed that the AHP and GIS have great efficiency in discriminating potential areas and Rafsanjan country contain relatively good potential for geotourism activities.

Industrial and economic developmentalong with population growth and increased exploitation of natural resources may upset the environmental balance. Inappropriate land use, along withpollution and destruction of natural resources are considered to be serious problems caused by environmental imbalance in many parts of the world. These problems indicate the limited capacity of environment to resist human exploitation of land. Industrial site selectionis considered to be one of the key factors in sustainable regional planning due to the different environmental impacts of industries. Because of the developmentin industrial areas and the existence of numerous mines in GolpayeganCounty, it is necessary to optimize industrialsite selection in accordance with environmental standards and regulations. Therefore, the present studyintegrates hierarchical analysis with multi-criteria evaluation methods to investigate 24 different criteria with the aim ofoptimizing industrial site selection in accordance withenvironmental standards and regulations in GolpayeganCounty.  

In accordance with the rules and regulations of setting up industrial and manufacturing units and similar studies,the conceptual model of Golpayegan county site selection was prepared based on three criteria: physical, biological and socio-economical. Followingthe preparation ofinformation layer for each criterion, spatial analysis ofEuclidean Distance was performed for each of them.Then, information layers produced in the previous steps were standardized using Boolean and fuzzy logic. The integration and overlapping in Boolean method was performed using AND logic.At this stage, all the information layers were entered into TerrSet software and standardized using fuzzy model and membership functions of the software’sfuzzy sets. The real scale (from 0 to 1) was used in this study to determine the membership function.Higher membership value in this range indicates higher utility while lower membership value indicates lower utility. In the present study, AND operator was used to integrate maps.Hierarchical analysis was used to determine the weight of each factor. Afterwards, the maps were integrated using fuzzy overlay method, weighted sum model and weighted linear combination (WLC) method. In this way, a map was produced for the industrial park site selection. Then according to the histogram curve and its breakpoints and also according to the environmental conditions of the region, it was classified into 5 classes.  

An inconsistency rate of 0.04 was calculated in the present study to evaluate the accuracy of judgments made about the weight of the criteria and sub-criteria.Distance from Mouteh Wildlife Refuge, distance from faults, distance from wells and distance from roadswere identified as the most important criteria for assessing the industrial capacity of the region. Maps produced using the Boolean method include two classes of 0 and 1,the valuesin the fuzzy overlay, weighted sum and weighted linear combination methods rangebetween 0 and 1, while they range between 0 and 0.7 in the weighted sum method and between 0 and 0.8 in the weighted Linear combinations method. 2783.5 hectares of the study area have the potential of serving as industrial sites based on the Boolean method, indicating that 1.7% of the study area is suitable for industrial construction. Combining moderate, good and highlysuitable classes using fuzzy overlay method showed that 1769.13 hectares or 1.1% of Golpayeganregionare suitable for industrial site construction. Combining good and highlysuitable classes usingweighted sum method showed that 1758.77 hectares or 1.09% of Golpayeganregionare suitable for industrial site construction. Combining good and highlysuitable classes using weighted linear combination method showed that 1902.78 hectares or 1.18% of Golpayeganregionaresuitable for industrial site construction. No matter which method is used, suitable areas for industrial site constructionare located in the southeastern region of the County and in vicinity of the main road.  

Comparing the results of the present study with similar studies indicates that the Boolean logic finds the least number of suitable areas for industrial park construction and its selected areas must have an appropriate score in all evaluation criteria. Findings indicated that due to the specific characteristicsof the Analytical Hierarchy Process, this method can be useful in the investigation of regional planning issues. It can be concluded that Weighted Sumand WLC are more effective than Boolean and fuzzy overlay methods. Results indicate that all four models located landssuitable for industrial development in the southeastern areas of ​​the County and in vicinity ofits main road, thus these areas should be prioritizedin future planning, policy making and investment for industrial development. Furthermore, given the concentration of agricultural activities in GolpayeganCounty and its numerous tourism capacities, the development of agricultural conversion industries and ecotourism related industries within the predicted authorized areas can be considered as priorities of regional development. Nowadays, sustainable economic development in most countries depends on industrial development. Sustainable development of industries creates more opportunities for social and economic growth. Sinceappropriate site selection for industrial parksharmonize the goals of economic development with the goals of urban development, economic enterprises and environmental objectives, it is considered to be a step toward sustainable development. Achieving such a goal requires a revision of the site selection criteria in accordance with the sustainable development indicators. This increases national and local employment rate and accelerates industrial growth without damaging the environment. .

Population groups are not the same in terms of vulnerabilities in respect of natural hazards occurrence, and women, children and the elderly persons, are more vulnerable than other populations. Gender can also affect the vulnerabilities so that experiences from past disasters have shown that women and girls are more vulnerable to men and boys. On the other hand, women and girls, if they are empowered, can enhance community capacity in the face of natural disasters. The marital status of individuals such as single, married, widowed and divorced also affects the degree of vulnerability of individuals. Therefore, studying the status of vulnerable populations can be crucial in proper planning to prevent and reduce disaster risks and, today, the gender perspective is one of the smartest approaches to manage and reduce disaster risks. The objective of this paper is vulnerability zoning of Tehran in natural disasters with population groups perspective. It considers gender disaggregated data on vulnerable populations including children (girls and boys), women and men (considering their marital status), and elderly persons (elderly women and men).

In this paper, Analytical Hierarchy Process was used to identify and prioritize the vulnerable areas of the city. The proposed method includes constructing a hierarchical structure of criteria and sub-criteria, preparing vulnerability maps based on each sub-criterion, generating a binary comparison matrix, calculating the significance coefficient of criteria and sub-criteria, calculating the consistency ratio and calculating each area vulnerability. Thus, priority urban areas are identified for empowerment and capacity building.

Tehran is a vulnerable city in respect of natural hazards occurrence, and the status of population groups have increased its vulnerability. In this paper, according to the gender disaggregated data on vulnerable population groups in the 22 districts of Tehran, vulnerable districts were identified and prioritized.

Based on the findings, districts 4, 5, 15, and 20 are priority areas that need to be empowered vulnerable populations.

Strategy implementation consists of three stages, which are of utmost importance in strategic management. Despite the importance of strategy implementation, it is less researched and developed than strategy formulation. In addition to scientifically identifying and introducing key and influential factors in the implementation of strategy in Iranian commercial banks, this paper seeks to share and prioritize the impact of these variables. Implications of the implementation and the challenges ahead are also briefly described. The research method is descriptive, and an applied and purposeful result is sought, and in terms of data it is quantitatively qualitative. The research strategy in the qualitative section employs the Grounded Theory, and in the quantitative part uses the Analytical Hierarchy Process. The coding technique used to analyze the qualitative section is based on Strauss and Corbin's Paradigmatic Model; the quantitative section is analyzed based on the paired comparisons and the analysis of the inconsistency rate. The research community consists of experts from commercial banks such as, Mellat Bank, Tejarat Bank, Melli Bank, Sepah Bank, Refah Bank, Mehre Eqtesad Bank and Ayandeh Bank. The sampling method is purposeful judgment accompanied by the Snowball Technique. Data collection tools are employed in the qualitative part of the interviews and document analysis is used in the quantitative part of the questionnaire. The findings of the study reveal 12 main factors, 9 challenges and 5 outcomes for implementing a strategy in the commercial banking sector of Iran. These outcomes are prioritized and allocated according to the importance of each one of them in strategy implementation.

Reports of the World Tourism Organization indicate that tourism has become one of the largest industries in the world. What is important in tourism is its role not only in economic issues such as employment and profitability, but also in urban sustainable development. Moreover, tourism plays an important role in answering on one of the most important needs of human, which is the need to security, mental peace, recreation and entertainment that can be meet by going to the natural environment and spending some times there. In this context, the present research is aimed to identify zones with high potential for tourism in Abardeh rural district of Mashhad city, a region which has high tourism potential. The research method was descriptive– analytical with the practical aim which was performed by using documentary and survey data.Also, Analytical Hierarchy Process (AHP) was used to analyze data. Therefore, factors affecting zoning were gathered by using the Delphi method, and the variables were weighted based on the AHP method using Expert Choice software. At the end of this research, layers were integrated based on the weight of each criterion in GIS software by using overlay functions, and the value of each zone was obtained based on the all effective factors ,and also their weight, and all zones were then divided into three groups namely areas with high, medium and low potentials. The results showed that just 15% of the existing lands in Abardeh rural district have high tourism potential. So, for promotion tourism in this region, it is necessary to suggest tourist attraction land uses based on the potential of each zone.

Cities are the most important targets of an enemy invasion because of the high population density and the place of capital accumulation. Accordingly, this study seeks to rank the vulnerability of the five regions of Urmia city against the dangers of unexpected events and war based on passive defense principles by investigating and identifying effective indicators. This research, based on its purpose, is an applied research and according to the method of work, has an analytical nature. In this study, after studying and analyzing the related documents and resources of passive defense, 14 indicators that are related to some principles of passive defense including principles of dispersal, hardening and localization were selected and then hierarchical analysis process method was used for giving weight to the indices. For performing spatial analyses, index data layers were first digitized and edited in GIS software and by converting data layers into raster and classifying them, the calculated coefficient of significance (via hierarchical analysis method) was multiplied in each index and by using the weighted sum of the indices, the vulnerability was measured in the five districts of Urmia city. In the final step, the vulnerability of the five regions of Urmia city was ranked according to the TOPSIS model. The results indicate that the vulnerability of the five regions of Urmia city are from top to bottom, respectively, regions five, one, three, four and two and also in most of the cases, they are associated with weaknesses in the principle of dispersal, hardening and localization.

The purpose of this study is to investigate the strengths and weaknesses, opportunities and threats of sustainability of adaptation policies with regard to sustainability indicators. In terms of methodological process, this study was conducted in two consecutive stages. The first stage of this research involves identification and extraction a list of strengths, weaknesses, opportunities and threats to climate change adaptation policies in agriculture based on a qualitative research paradigm and utilizing focused group techniques and interview with 17 experts from Ministery of Agriculture Jihad. In the second stage of the research, Analytical Hierarchy Process (AHP) method was conducted to compare pairs of criteria and sub-criteria with respect to the main goal of sustainability of policies as well as pair-wise comparison of each set of alternatives into four classes of strengths, weaknesses, opportunities and threats. Data were analyzed by Expert Choice software. After determining the weight of each criterion and sub-criterion, the alternative priorities were identified as four components of strength, weakness, opportunity and threat. The results showed that environmental, economic and social criteria were the most important to achieve sustainability of policies, respectively. Also in environmental criteria, “non-emission of greenhouse gas”, in economic criteria, “helping to diversify farmers' income” and in social criteria, “attention to social participation” were identified as the most important sub-criteria.

Strategy implementation is one of the most important stages of strategic management. However, implementation is less than compiled. The purpose of this paper is to explain the applied model of strategy implementation in commercial banks, which includes identifying, prioritizing its effective variables, describing the process, how it is implemented and examining the implications and challenges of implementation. The research method is applied, result-oriented, descriptive, quantitative-qualitative. The research strategy in the qualitative part is the Grounded Theory and in the quantitative part, the Analytical Hierarchy Process. The qualitative analysis method is based on the Strauss and Corbin paradigm coding and in the quantitative part is based on pairwise comparisons and inconsistency rate analysis. The community, the commercial bank experts and the sample, comprises 46 managers and experts of 11 commercial banks (private and public). Sampling method is purposeful judgment with snowball technique and its tools in qualitative part of interview and document analysis and in quantitative part of questionnaire. As a result of the study, a model was designed in the form of 105 initial codes, 33 concepts and 5 main categories as causal variables, contextual, barriers (intervention), process and its consequences and design and validation (priority), Each is determined.

Unsustainable use of natural heritage leads to their destruction. Nowadays, rivers, as one of the most vital natural heritage, have been used unsustainably. Generally, rivers have the ability to attract tourists in the long run. Therefore, a sustainable tourism approach can help improve rivers' conditions while attracting tourists. With the descriptive-analytical method and the purpose of analyzing the environmental aspects affecting sustainable tourism realization, Zarjub River, located in Rasht, was evaluated. Subsequently, through the analytical hierarchy process and a survey of 25 local experts, the importance of environmental criteria and sub-criteria was determined. In order to assess the current status of the Zarjub River according to the criteria and sub-criteria, available statistics and questionnaire tool were used. In this regard, 400 citizens, 25 local experts, and 20 municipal officials were surveyed. Statistical analysis was performed using SPSS. Then, according to the importance and the current status of the criteria and sub-criteria, an integrated analysis was carried out. All criteria and sub-criteria are in the second, third and fourth areas. The criteria in the second area are more effective in realizing sustainable tourism because of their high importance and unfavorable status quo. The SWOT strategies were ranked with the VIKOR method, based on the criteria and sub-criteria and with the help of 25 native experts. Among the strategies presented, the strategy of "strengthening the tourism aspect of the river in all seasons, based on the principles of sustainability" was ranked first in terms of importance.

Extended Abstract Introduction Earthquakes and landslides are the most harmful natural disasters that have synchronization and time and space correlation with each other. This study was carried out in seismic zone affected by Arasbaran earthquake (Qaradagh), in which there were a lot of casualties and destruction. On 11 August 2012, the Varzeghan twin Earthquakes [Mw 6.4 and 6.2] struck Varzeghan, Ahar and Heris region in NW of Iran. It killed more than 306 people and a large number of people were injured and has caused increment in slope instability, and transformation of geomorphic processes into risk factors. Methodology In this research, landslide susceptibility was zonated by using two models of analytic network process (ANP) and logistic regression in Qoshadagh fault system and an appropriate model was introduced. Our analysis of geohazards distribution allowed evaluation of geomorphic, climate- hydrologic, human-land use and morphologic controls on earthquake-induced-land sliding, process mechanisms, and hazard process chains, particularly where they affected local populations. For this study, both the Sentinel-2A MSI and Landsat-8 OLI data (2017) were used. Fourteen effective factors of landslide (Lithology, Land use, Fault, DEM, Climate, Aspect, TWI, SPI, Slope, Road, River, Rain, LS & Soil) were generated in ArcGIS, and then weight of each factor was determined in Super Decisions software, and final zonation maps were regained from ArcGIS afterward. Results and discussion After preparing the standard maps and options, the network analysis method (ANP) and logistic regression were used to investigate the susceptibility of land slides. In order to implement the network analysis process, the related criteria layers were developed in ArcGIS software. Then, in the SuperDisign software environment, the main model of the network analysis process was designed based on completed questionnaires by the experts. Then, a logistic regression model was used to analyze the spatial relationship between the land slide event and the effective factors in this event. The maps related to the factors affecting the land slides of the study area, which are independent variables in the land slide event, were introduced into Idrisi-Selva software and processed for logistic regression modeling. Landslide distribution layers in the area were also converted to the binary map 0 and 1 by the Calculator Image function. This means that the slip pixels on the map are shown with the number 1 (slipping) of non-slip pixels with 0 (no slip). Finally, after entering the data into the logistic regression model, the coefficients of the model are extracted using the effective parameters in the Idrisi-Selva software. Distance from the fault and precipitation factors had the most, and Land Use Factor had the least effect on landslide occurrences. Occurrence of 62.2% and 71.1% of landslides in high and very high risk classes in ANP and logistic regression, respectively, indicated an acceptable accuracy for landslide prediction maps. Validation results of methods with ROC index showed that AUC of the maps in model was 85.52%, and in analytic network model it was 81.35%, with a standard error of 0.06; while both represented a very good predictive capability Conclusion The purpose of the present study was to study the ability of this model in comparison to other methods, in addition to modeling the sensitivity of Earthquake-Induced-Landslides using the network analysis method (ANP). Therefore, effective factors in the field of scaling were identified and in the Super Decision software environment, the weight of each factor was determined. Then, the weights received in ArcGIS software environment were converted to the final map of the zoning of the landslide. Accordingly, among the fourteen effective factors in the occurrence of landslides in the area, the distance from the fault has the most effective factor in the two models (ANP) and (LR) and has the highest coefficient of effect on land-slip occurrence while land use in Both models have the lowest coefficient. As expected, the main faults, in particular the fault and the fault lines, and interspersed with the twin Arasbaran earthquakes, as well as the northern and northeastern slopes, are more susceptible to instability. The map of the model implementation categorized the susceptibility of earth sculpting in 5 classes with very low, moderate, high and very sensitive sensitivity. Very high and high risk classes have been shown to be 6.6% and 13.4% of the area of the region, prone to hazardous landslides. These results show a high correlation and correlation with the model implemented in the logistic regression method, which is 5.8% and 17.7%, respectively. The occurrence of 62.2% and 71.1% of landslides in high and very high risk classes, respectively, in ANP and logistic regression, indicate the acceptable accuracy of predicted maps for landslide. The results indicate that ANP methods and logistic regression are accurate in the study of landslide in the area affected by the Arasbaran earthquake. Logistic Regression model had better results. Using these methods together and comparing them with regard to the dependencies of landslip issues can be very useful for identifying areas prone to landslide. As suggested, these methods have acceptable results in analyzing the sensitivity to landslides. The highest density of landslides, even old landslides, are not accidental in the two-axis seismic centers with magnitudes of 6.4 and 6.2 in 2012, indicating a history of seismicity and high tectonic activity in the area. Keywords: Analytical Hierarchy Process, Logistic Regression, Landslide hazard zonation, Arasbaran earthquake, Qoshadagh Fault Zone.

One of the most important goals of urbanization is providing safety and security for its inhabitants. So, the safety of the city to protect citizens as well as public and private property against natural and abnormal disasters by adopting new methods, is necessary at all levels. Cities as gathering centers of physical and human capitals are often the target of enemies.  Due to the presence of vital land uses in the city, each region is important hence, the planning to reduce damages, create safety and related sustainability there, is one of the most important actions. Accordingly, passive defense is important in policy making as well. In many cases, converting the crisis of war and disasters into tragedy is the inefficiency of urbanism condition from the defensive point of view. Therefore, it is essential to assess the vulnerability and create appropriate solutions to reduce such damages. The case study, here, is the second municipal area of Shiraz, which in this research is divided into zones, after studying 14 effective indexes of urban texture’s vulnerability. Using the analytical hierarchy process (AHP) and geographic information system (GIS), the vulnerability level of the second city area has been determined as: low, medium and high. The research findings show that 7.2%, 43.7% and 49.08% of the second area were in low, medium and high risk zones, respectively. Areas 6 and 13 in low risk zones, Areas 1, 4, 5, 7, 10 and 12 in the middle zone, as well as Areas 2, 3, 8, 9, 11 and 14, are in high risk zone. Priorities of planning and the crisis management are provided taking into account the structural consideration of the city and its level of vulnerability.