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

The research has provided case studies in many forms of transportation, including analysis of road, water and air transportation, including costs and opportunity costs, as well as risks such as infrastructure risks, product damage and legal risks. It can be concluded that this study aims to reduce costs and risks to the lowest possible level and deliver products on time and on target.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al., which studied from case studies and used AHP to evaluate the importance of the criteria used in the research, including ZOGP to select the best route under the given constraints.

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

In this research, AHP or Analytic Hierarchy Process was used to define and evaluate the importance of the criteria used in the study, including the weighting of various constraints. ZOGP or Analytic Hierarchy Process was used to select the most suitable path and reduce the risk the most under the specified conditions and criteria.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al., from the Methodology that uses both AHP and ZOGP to collect, analyze and manage data.

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

Referring to the case study of the research, an example was given as "The major commodity is coal (largely for regional power production), which is one of the world's most important natural resources." The examples were given as 3 types of transportation: waterways, railways, and roads.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al., from a case study using AHP to collect, analyze data and perform multi-objective optimization. The details of the five-step conceptual framework for multimodal freight route choice are presented. Then, a ZOGP model is created from the data obtained from AHP and constraints (budget, time and risk).

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

With AHP, they collect, analyze and assess the importance of various criteria by prioritizing them, assessing their importance by comparing them in pairs, and finding their consistency, as well as calculating the relative weights of the criteria.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al., by creating a Comparison Matrix to find the relative weight of each criterion and calculating the Consistency Ratio (CR) value to see if the scoring results are reliable or not.

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

From the 7 risks according to the research, there are risks as follows: 1.Freight Damage Risk 2.Infrastructure and Equipment Risk 3.Operational Risk 4.Security Risk 5.Environmental Risk 6.Law ​​Risk 7.Financial Risk. Of the risks mentioned above, Health risk is not included.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al.

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

ZOGP is a binary goal programming technique used to solve multi-objective decision making problems under various constraints, referring to AHP data from research.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al.

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

From the case study in this research, 3 modes of transportation are mentioned: land transport using trucks, land transport using trains, and water transport using ships, in which air transport is not included.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al., from case study section.

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

From the Methodology by calculating the relationship value that is consistent in the content of AHP.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al., from methodology, citing the text "The acceptance limit of is 0.1 or 10%. If is not less than 0.1, the judgment needs to be carried out on the pairwise comparison again to make a more consistent decision."

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

In this research, ZOGP has input data from AHP that has been collected, analyzed and initially evaluated. Then, ZOGP will compare and re-evaluate by considering 3 main criteria: cost, time and 7 risks as specified.

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al.

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

In the introduction of this research, it is said that "Multimodal transportation is an important development toward making local industry and international trade more efficient and competitive...", leading to the conclusion that the role of multimodal transportation is "necessary" and "promotes the efficiency and competitiveness of local industry and international trade".

The research that supports this idea is the Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak et al. As stated in the introduction of the research: "Multimodal transportation is an important development toward making local industry and international trade more efficient and competitive..."

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

During the heavy rain, there was a lot of water seeping into the soil, which reduced the soil's adhesion and increased the water pressure in the soil's pores, eventually leading to a landslide.

The research that supports this idea is ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas by Mohsin Fayaz et al., from methodology section.

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

The research used GIS-based machine learning models, which are models that are used to assess areas at risk of landslides, in particular, which consist of data collection and modeling from the collected and analyzed data.

The research that supports this idea is ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas by Mohsin Fayaz et al., from methodology and result section

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

Although this research does not directly discuss Land Surface Temperature (LST) and does not directly relate it to underground water level, the TWI index is used to reflect the relationship between soil moisture and groundwater level, which is a factor that is clearly related to landslide occurrence.

The research that supports this idea is ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas by Mohsin Fayaz et al.

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

Threshold values are not fixed constants, but are learned dynamically from data using the DRT model. These values reflect critical conditions under which landslides are statistically likely to occur in the study area.

The research that supports this idea is ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas by Mohsin Fayaz et al.

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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?

May rainfall=April rainfall+(20% of April rainfall) = 150 + (20% * 150) = 150 + 30 = 180 mm

Based on the problem and this equation, May rainfall=April rainfall+(20% of April rainfall).

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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?

By calculating from the equation, the answer is 0.244, which is approximately 0.24 mathematically.

By equation, ratio = slope angle/friction angle (ϕ).

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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?

When the method of thinking is shown according to the equation referenced on the scratch paper, it can be seen that the answer is 1690 kg.

Based on the equation, Weight = Density × Volume where Volume is 1 m^3.

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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 cross-sectional area was calculated to be 110 cm^2 and the total shear force was calculated to be 5 kg.

From the equation, total shear force = shear force per unit area × area.

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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?

When calculated using both equations, the temperature change is 0.4 degrees Celsius and the LST in 2024 is 25.34 degrees Celsius.

From the equation, increased temperature=rate of change×number of years and LST 2024=LST 2020+increased temperature.

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What method does the study use to forecast future landslides?

By integrating both methods, it is possible to obtain a forecast of rainfall and soil water temperature that can be accurately monitored, with other factors such as shear force, slope angle, etc.

The research that supports this idea is ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas by Mohsin Fayaz et al., from "ARIMA is considered an effective model for forecasting. It considers the serial correlation of the data... Heavy precipitation events were recorded from June through September, and most of the landslide events were also recorded during the same period." (Fayaz et al., 2022, Environmental Challenges, Section 4.3.2) and "The forecasted trend shows the LST in the range of 21–33, which can be considered a warning for future landslides... The presence of shallow groundwater strongly influences the soil’s thermal properties." (Fayaz et al., 2022, Section 4.3.1)