โจทย์ ปรนัย
What is the primary goal of using multimodal transportation in logistics as per the discussed research?

Because reducing costs and risks while ensuring timely delivery improves overall logistics efficiency and benefits both the business and the customers.

This reflects Utilitarianism, because it aims to bring maximum benefit to the greatest number of people — such as companies, suppliers, and consumers — by reducing waste, cost, and delays.

โจทย์ ปรนัย
Which method is primarily used for decision-making in multimodal transportation route selection?

Because combining AHP and ZOGP allows for more effective decision-making by integrating both qualitative and quantitative factors. AHP prioritizes important criteria, and ZOGP uses those priorities to make optimized and goal-oriented decisions. This leads to better accuracy, balance, and efficiency in transportation planning.

This answer reflects Rational Decision-Making Theory, which involves making logical and structured choices based on data, analysis, and clear objectives. By combining AHP (for structured evaluation) and ZOGP (for optimal solutions), the decision-making process becomes systematic, objective, and result-driven.

โจทย์ ปรนัย
According to the case study, what is the primary commodity considered for transportation?

Because pharmaceutical products require high standards of safety, time sensitivity, and temperature control during transportation. The case study emphasizes the need for careful logistics planning, which aligns with the characteristics of pharmaceutical goods.

This reflects the Risk Management Theory, as transporting pharmaceutical products involves minimizing risks related to spoilage, delays, and mishandling. Proper route selection and modal combination reduce those risks and ensure product integrity.

โจทย์ ปรนัย
What is the role of the Analytic Hierarchy Process (AHP) in the multimodal transportation decision support model?

Because AHP is specifically designed to help decision-makers assign relative importance (weights) to multiple criteria—such as cost, time, reliability, and safety—based on expert opinions. It helps break down a complex decision into a structured, logical process.

This theory supports using structured, step-by-step analysis to make decisions. AHP fits this by turning expert judgment into measurable weights, helping organizations make informed, data-based logistics choices.

โจทย์ ปรนัย
Which risk is NOT considered in the list of risks assessed for multimodal transportation route selection?

Because Health Risk is generally not a direct concern in multimodal transportation route selection. Most studies and models focus on logistics-related risks such as freight damage, security, legal compliance, and financial impact — all of which directly affect transport performance and cost.

This aligns with the principle of Logistics Risk Management, which classifies risks based on impact on delivery performance, cost, and compliance. Health risk, unless in a pandemic or medical context, is not typically part of transportation route assessment.

โจทย์ ปรนัย
What does ZOGP stand for, and what is its role in the model?

Because Zero-One Goal Programming (ZOGP) is a mathematical optimization technique used when decisions are binary (i.e., yes/no or 0/1). In multimodal transportation, it’s used to select the best combination of routes or transport modes that satisfy multiple goals — such as cost minimization, on-time delivery, and risk reduction — as much as possible.

Operations Research & Multi-Objective Optimization ZOGP aligns with multi-objective decision-making theory, where multiple goals must be considered under constraints. The “zero-one” aspect means that decision variables are binary: x_i \in \{0,1\} 🔢 Mathematical Form \text{Minimize } \sum (d_i^+ + d_i^-) Subject to: \sum a_{ij}x_j + d_i^- - d_i^+ = g_i \quad \text{(goal constraints)} x_j \in \{0,1\} Where: • x_j: decision variable for selecting a route or mode • g_i: goal for each criterion (e.g., max budget, time limit) • d_i^+, d_i^-: deviation variables (how much under/over the goal)

โจทย์ ปรนัย
Which of the following is NOT a mode of transport discussed in the multimodal transportation case study?

Because the multimodal transportation case study specifically considers the integration of rail, sea, air, and road transport. These are the four core modes commonly analyzed in multimodal logistics systems to optimize cost, speed, reliability, and environmental impact.

This concept involves selecting and linking two or more transportation modes in a single delivery chain to improve performance across different criteria such as time, cost, and risk. Each mode has strengths—e.g., sea is cheap but slow, air is fast but expensive, etc.

โจทย์ ปรนัย
In the context of the AHP used in the study, what does a consistency ratio (CR) less than 0.1 indicate?

Because in the Analytic Hierarchy Process (AHP), a Consistency Ratio (CR) of less than 0.1 (or 10%) indicates that the pairwise comparisons made by the decision-maker are acceptably consistent. This means the logic used to prioritize the criteria is reliable, and the results of the weighting can be trusted.

Developed by Thomas L. Saaty, this rule ensures logical consistency in human judgment when comparing criteria. The formula used: CR = \frac{CI}{RI} • CI = \frac{\lambda_{\text{max}} - n}{n - 1} (Consistency Index) • RI = Random Index (depends on the size of the matrix) • If CR < 0.1, the judgments are consistent enough.

โจทย์ ปรนัย
What is the primary purpose of sensitivity analysis in the context of the ZOGP model used in the study?

Because sensitivity analysis in the context of the Zero-One Goal Programming (ZOGP) model is used to evaluate how changes in input parameters (such as goal priorities, resource limits, or weights) affect the final decision. It helps verify that the solution is stable, reliable, and not overly sensitive to small changes — ensuring the model is robust.

This approach is grounded in decision science and operations research, where a good model must be robust. Sensitivity analysis checks if small changes in the inputs (e.g., cost limits, delivery times) would drastically alter the outcome. If not, the model is considered reliable. \Delta \text{Output} = f(\Delta \text{Input})

โจทย์ ปรนัย
Which of the following best describes the role of multimodal transportation in global trade according to the study?

Because the study highlights that multimodal transportation integrates different transport modes (like sea, rail, air, and road) to optimize cost, speed, reliability, and connectivity, which in turn strengthens both local industries and international trade competitiveness. It enables smoother supply chains, better access to markets, and lower operational costs.

Multimodal transport is part of modern supply chain strategy, allowing for seamless movement across borders. It improves Just-In-Time (JIT) delivery, reduces delays, and enhances responsiveness — all key for global trade competitiveness.

โจทย์ ปรนัย
What is the main natural cause of landslides along the Jammu-Srinagar National Highway?

The Jammu–Srinagar National Highway often experiences landslides due to prolonged and intense rainfall, especially during monsoon seasons. The continuous precipitation causes soil saturation, reducing slope stability and triggering landslides in the mountainous terrain of the region.

Geotechnical Hazard Risk in Mountainous Regions In regions with steep slopes and loose soil, hydrological triggers like rain or snowmelt are the most common natural causes of landslides. This is especially true in the Himalayas and surrounding highway networks.

โจทย์ ปรนัย
According to the article, what technology is used to assess landslide-prone areas along the highway?

The article mentions that Remote Sensing is used to monitor and analyze terrain changes, slope movements, and vegetation cover — all of which are key indicators of landslide risk. Meanwhile, ARIMA (AutoRegressive Integrated Moving Average) modeling is a statistical method used to predict landslide occurrences over time based on historical data, making it useful for forecasting future risks along the Jammu–Srinagar National Highway.

: Geospatial Analysis + Time Series Forecasting • Remote Sensing → ใช้ภาพถ่ายดาวเทียมหรือโดรนดูความเปลี่ยนแปลงของภูมิประเทศ • ARIMA → ใช้คณิตศาสตร์และสถิติคาดการณ์แนวโน้มภัยพิบัติจากข้อมูลย้อนหลัง

โจทย์ ปรนัย
What is the relationship between land surface temperature (LST) and underground water level mentioned in the study?

The study identifies a negative (inverse) relationship between Land Surface Temperature (LST) and underground water level. When underground water is abundant, the LST tends to be lower due to higher soil moisture and evaporative cooling. In contrast, when groundwater levels drop, the land surface becomes drier and hotter, increasing the LST.

Hydrothermal Dynamics in Earth Systems • ดินชื้น = ดูดซับความร้อน → อุณหภูมิพื้นผิวลดลง • ดินแห้ง = ไม่มีน้ำระบายความร้อน → พื้นดินร้อนขึ้น \text{LST} \propto \frac{1}{\text{Groundwater Level}}

โจทย์ ปรนัย
How is the threshold value for landslide triggering determined as per the study?

The study clearly explains that threshold values for landslide triggering are identified using field surveys combined with geotechnical parameters, such as: • Soil moisture content • Slope angle • Soil cohesion and shear strength • Rainfall thresholds These physical and mechanical properties are critical to scientifically determine when a slope is likely to fail.

Slope Stability & Failure Mechanics This approach is grounded in geotechnical engineering, where safety factors are calculated from: \text{Safety Factor (SF)} = \frac{\text{Shear Strength}}{\text{Shear Stress}} When SF < 1 → Landslide likely to occur

โจทย์ ปรนัย
If the mean monthly rainfall in April is 150 mm and it increases by 20% in May, what is the mean monthly rainfall in May?

The problem states that the mean monthly rainfall in April is 150 mm and it increases by 20% in May. 20% of 150 is: 150 \times 0.20 = 30 So, the mean monthly rainfall in May becomes: 150 + 30 = 180 \text{ mm}

Percentage Increase Formula is used here, which is a basic concept in mathematics and data interpretation: \text{New Value} = \text{Original Value} + \left(\frac{\text{Percentage Increase}}{100} \times \text{Original Value} \right) This is often applied in climatology, statistics, and environmental studies to observe trends or changes in rainfall, temperature, or other environmental data.

โจทย์ ปรนัย
Given that the slope angle in a studied section is 45 degrees and the friction angle (phi) is 11 degrees, what is the ratio of friction angle to slope angle?

We are asked to find the ratio of the friction angle (ϕ) to the slope angle (θ). \text{Friction angle} = 11^\circ,\quad \text{Slope angle} = 45^\circ \text{Ratio} = \frac{11}{45} \approx 0.2444 \approx \boxed{0.24}

การหา “อัตราส่วน” คือการนำค่าหนึ่งไปหารอีกค่า: \text{Ratio} = \frac{\text{Friction Angle (ϕ)}}{\text{Slope Angle (θ)}} ใช้ในการวิเคราะห์เสถียรภาพของลาดชัน (Slope Stability Analysis) ถ้าอัตราส่วนต่ำมาก → มีแนวโน้มถล่มสูง

โจทย์ ปรนัย
If the specific gravity of soil is 2.74 and the natural density is 1.69 kg/cm³, what is the approximate weight of 1 cubic meter of soil?

The natural density of soil is given as 1.69 kg/cm³ — but in real geotechnical contexts, this is typically 1.69 g/cm³, which is equivalent to: 1.69 \, \text{g/cm}^3 = 1.69 \times 1000 = \boxed{1690 \, \text{kg/m}^3} So, the weight of 1 cubic meter of soil is: \text{Weight} = \text{Density} \times \text{Volume} = 1690 \, \text{kg/m}^3 \times 1 \, \text{m}^3 = \boxed{1690 \, \text{kg}}

Weight = Density × Volume And the conversion: 1 \, \text{g/cm}^3 = 1000 \, \text{kg/m}^3 This is commonly used in geotechnical engineering to calculate earthwork, load-bearing, and slope stability parameters.

โจทย์ ปรนัย
Assuming that the direct shear of soil is 0.05 kg/cm², how much shear force is exerted on a 10 cm x 10 cm area?

The shear stress is given as: \text{Shear stress} = 0.05 \, \text{kg/cm}^2 The area is: 10 \, \text{cm} \times 10 \, \text{cm} = 100 \, \text{cm}^2 Then, shear force is calculated by: \text{Shear force} = \text{Shear stress} \times \text{Area} = 0.05 \times 100 = \boxed{5 \, \text{kg}}

\text{Shear Force} = \tau \times A Where: • \tau = Shear stress (kg/cm²) • A = Area (cm²)

โจทย์ ปรนัย
If the rate of land surface temperature change is 0.1°C per year starting at 24.94°C in 2020, what will be the LST in 2024?

Initial LST in 2020 = 24.94°C • Rate of change = +0.1°C per year • Time elapsed = 2024 − 2020 = 4 years Now, calculate the increase: 0.1^\circ C \times 4 = 0.4^\circ C Then add to the original: 24.94^\circ C + 0.4^\circ C = \boxed{25.34^\circ C}

\text{LST}{\text{future}} = \text{LST}{\text{start}} + (\text{Rate} \times \text{Years}) This is a linear growth model often used in climate studies to project temperature trends.

โจทย์ ปรนัย
What method does the study use to forecast future landslides?

The study specifically states that it uses ARIMA (AutoRegressive Integrated Moving Average) and SPSS (Statistical Package for the Social Sciences) as the forecasting tools for predicting future landslides. These methods: • Analyze historical data trends • Incorporate time series modeling • Provide quantitative forecasts based on real data patterns

ARIMA Model Used for time-series forecasting, especially where the data shows trends, cycles, or seasonality. It models: \text{Future Value} = \text{Past Values (AR)} + \text{Differencing (I)} + \text{Past Errors (MA)} SPSS A statistical software used to process and visualize large data sets, including output from ARIMA modeling.