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Which method is used to determine the weights of factors in a multimodal transportation system?
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Analytic Hierarchy Process (AHP) |
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Because the Analytic Hierarchy Process (AHP) is commonly used to determine the weights of factors in a multimodal transportation system. AHP is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It helps in prioritizing and allocating weights to different factors by comparing them pairwise and aggregating the results to form a comprehensive set of weights.
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Methods for determining weighting factors in multimodal transport systems.
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2 |
What is the primary goal of the Zero-One Goal Programming (ZOGP) used in the study?
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Optimizing route selection by generating the optimal route |
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Because ZOGP is a variant of goal programming where decision variables are binary (0 or 1). It is often used to solve optimization problems where the goal is to select the best route or routes under specific constraints, aiming to find the optimal solution for route selection.
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the Zero-One Goal Programming (ZOGP)
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3 |
In the context of multimodal transportation, what does the 'multimodal' aspect refer to?
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Using multiple modes of transport for a single shipment |
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This involves utilizing different modes of transportation, such as trucks, trains, ships, and airplanes, to move a single shipment from its origin to its destination. The aim is often to optimize the efficiency, cost, and speed of the transportation process.
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the context of multimodal transportation
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4 |
Which risk is NOT directly considered in the optimization model described in the document?
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Market fluctuation risk |
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Typically, Market Fluctuation Risk may not be directly included if the model is more focused on logistical and operational aspects rather than economic or market conditions.
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the optimization model described in the document
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5 |
What is the primary advantage of integrating AHP with ZOGP in the study's methodology?
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Ensuring consistency and reducing bias in decision-making |
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AHP helps in structuring and quantifying subjective judgments by providing a systematic approach to evaluate and prioritize factors, thereby reducing bias and ensuring consistency in decision-making. When combined with ZOGP, which is used for optimization with binary decisions, this integrated approach allows for a more rigorous and balanced evaluation process, improving the reliability and validity of the optimization outcomes.
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AHP
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6 |
Which method is applied to validate the model and results in the document?
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Spearman’s rank correlation |
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Because Spearman’s Rank Correlation is often used to assess the relationship between two variables and validate if the model’s rankings or orderings are consistent with observed data. It is particularly useful for evaluating how well the model's predictions align with actual outcomes in terms of ranking or ordering.
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method is applied to validate the model and results in the document
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What does DEA stand for in the context of the document?
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Data Envelopment Analysis |
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Data Envelopment Analysis is a performance measurement technique used to assess the relative efficiency of decision-making units (DMUs) such as companies, departments, or other entities. It evaluates the efficiency of these units by comparing their input-output ratios and identifying the best-performing units as benchmarks.
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DEA stand for in the context of the document
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8 |
Which type of risk is primarily associated with theft and accidents?
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Security Risk |
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Security risk encompasses threats related to theft, vandalism, and other types of criminal activities, as well as accidents that could compromise the safety and integrity of goods and operations.
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type of risk is primarily associated with theft and accidents
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9 |
What method is used to aggregate risk scores under different criteria into an overall risk score?
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Simple Additive Weighting |
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Simple Additive Weighting (SAW) is a straightforward method for aggregating multiple criteria into a single overall score. It involves assigning weights to each criterion based on its importance and then summing up the weighted scores to get the overall risk score. This method helps in evaluating and comparing different alternatives based on aggregated risk assessments.
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method is used to aggregate risk scores under different criteria into an overall risk score
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10 |
In the risk assessment model, which factor represents the weight of each criterion?
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FAHP Weight |
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FAHP stands for Fuzzy Analytic Hierarchy Process. It is an extension of the Analytic Hierarchy Process (AHP) that incorporates fuzzy logic to handle uncertainty and subjective judgments. The FAHP weight is used to quantify the importance of each criterion in the decision-making process, allowing for a more nuanced and flexible evaluation of the criteria.
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FAHP
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11 |
If the probability rank is 3, impact severity rank is 2, and the route segment ratio is 0.75, what is the risk level (R_ij) according to the formula R_ij = P_ij × C_ij × 4EA_ij?
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4.5 |
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-
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-
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12 |
Given the FAHP weights for two risks as 0.3 and 0.7, and their corresponding DEA scores are 50 and 80, what is the overall risk score using the SAW method?
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74 |
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To calculate the overall risk score using the Simple Additive Weighting (SAW) method with the given FAHP weights and DEA scores, follow these steps:
1.Multiply each FAHP weight by its corresponding DEA score.
2.Sum these weighted scores to get the overall risk score.
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The Simple Additive Weighting (SAW) method with the given FAHP weights and DEA scores
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13 |
What is the primary method used for forecasting landslide occurrences in the document?
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Neural networks |
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Neural Networks are widely used for forecasting landslide occurrences due to their ability to handle complex, non-linear relationships and integrate multiple variables, such as environmental conditions, historical data, and spatial factors. They are particularly effective in modeling patterns and predicting events based on various input features.
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the primary method used for forecasting landslide occurrences in the document
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14 |
What does LST stand for as used in the document?
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Land Surface Temperature |
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Land Surface Temperature is a crucial factor in many environmental and geological studies, including those related to landslide risk, as it can influence soil moisture, vegetation, and other factors relevant to landslide susceptibility.
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Land Surface Temperature
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15 |
Which parameter directly influences the underground water level, as discussed in the document?
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Precipitation volume |
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Precipitation volume, which includes rain and snow, directly influences underground water levels by contributing to groundwater recharge. Increased precipitation leads to higher water infiltration into the ground, thereby affecting the underground water table.
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Precipitation Volume
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16 |
Which technology is highlighted for its use in landslide analysis and prediction in the study?
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Geographic Information Systems (GIS) |
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GIS is extensively used in landslide analysis and prediction due to its ability to analyze spatial data, model terrain, and assess various environmental factors that contribute to landslide risk. It integrates and visualizes data such as topography, soil types, and land use to help predict and manage landslide hazards.
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Geographic Information Systems (GIS)
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17 |
What role does the 'Plasticity Index' play in the context of landslides?
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Indicates the chemical composition of the soil |
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The Plasticity Index (PI) measures the range of moisture content over which soil remains plastic. Soils with high plasticity indices can undergo significant changes in volume when wet, which affects their stability. High plasticity soils tend to expand when wet and shrink when dry, which can contribute to increased susceptibility to landslides, especially when saturated. This characteristic is crucial in assessing the potential for soil failure and landslides in different conditions.
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Plasticity Index
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18 |
Based on the study, what natural events significantly trigger landslides along the Jammu Srinagar National Highway?
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Heavy rainfall and snowfall |
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Because heavy rainfall and snowfall contribute to increased soil saturation, which can destabilize slopes and lead to landslides. The region is known for its steep terrain and heavy precipitation, which makes these factors particularly significant in triggering landslides.
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Natural events significantly trigger landslides along the Jammu Srinagar National Highway
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19 |
Which GIS-based model is NOT mentioned in the study for landslide susceptibility mapping?
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All of the above are mentioned |
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If the study does not include one of these methods, that method would be the answer. Generally, all these models are popular in GIS-based landslide studies, but the specifics may vary based on the study's focus and methodology.
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the study for landslide susceptibility mapping
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20 |
What is the primary purpose of landslide susceptibility maps according to the document?
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Identifying areas prone to landslides for hazard management |
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Landslide susceptibility maps are designed to help identify regions that are at higher risk of landslides based on various factors such as topography, soil type, and historical data. This information is crucial for hazard management, planning, and mitigation efforts to reduce the impact of landslides on communities and infrastructure.
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the primary purpose of landslide susceptibility maps according to the document
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