| 1 |
What is the primary consideration in route selection for a multimodal transportation system?
|
Transport cost, time, and inherent risks |
|
The transport cost and time as well as the inherent risks must be considered when determining a corrective design plan.
|
Multi-objective Optimization of Freight Route Choices in Multimodal Transportation
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 2 |
Which decision-making approach is utilized to determine the optimal multimodal transportation route in the proposed model?
|
Analytic Hierarchy Process (AHP) and Zero-One Goal Programming (ZOGP) |
|
It utilized the AHP and zero-one goal programing (ZOGP) to solve the optimal route for the multimodal transportation problem.
|
Multi-objective Optimization of Freight Route Choices in Multimodal Transportation
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 3 |
What does AHP stand for in the context of the decision support model?
|
Analytic Hierarchy Process |
|
This paper develops a decision support model using an analytic hierarchy process (AHP) and zero-one goal programing (ZOGP).
|
Multi-objective Optimization of Freight Route Choices in Multimodal Transportation
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 4 |
What is the objective of the zero-one goal programming (ZOGP) in the model?
|
To generate the optimal multimodal transportation route |
|
The ZOGP methodology can be optimized to obtain a multi- modal transportation route.
|
Multi-objective Optimization of Freight Route Choices in Multimodal Transportation
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 5 |
Essay | Explanation: ZOGP is used to generate the optimal route by integrating weights obtained from AHP.
|
The significant weights obtained using the AHP method in the previous phase are added into the objective function of ZOGP. |
|
The objective functions of ZOGP are combined with the weights
from AHP for minimizing the deviation in Eq. (5). The first objective is the transport cost. The second objective is the transport time. The last objectives are the seven multimodal transportation risks. The user could specify the significant weights by using AHP.
|
Multi-objective Optimization of Freight Route Choices in Multimodal Transportation
|
10 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 6 |
What are the main drivers for the increasing focus on multimodal transportation in logistics systems?
|
Environmental concerns, road safety issues, and traffic congestion |
|
Multimodal transportation has become a main focus of logistics systems due to environmental concerns, road safety issues, and traffic congestion.
|
A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 7 |
Why is comprehensive risk analysis considered crucial in the development of multimodal transportation?
|
To identify and analyze potential threats |
|
There are major challenges in the development of multimodal transportation associated with inherent risks and numerous uncertainties.
|
A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 8 |
What is the primary challenge in identifying and prioritizing risks in multimodal transportation?
|
Ambiguity of relevant data |
|
However, identifying and prioritizing risks is more complex because of the ambiguity of the relevant data.
|
A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 9 |
Which methodology is proposed for risk analysis in multimodal transportation in this study?
|
Fuzzy Analytic Hierarchy Process (FAHP) and Data Envelopment Analysis (DEA) |
|
This study proposes the integration of the fuzzy analytic hierarchy process (FAHP) and data envelopment analysis (DEA) for identifying and assessing quantitative risks.
|
A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 10 |
Essay | Discuss the significance of comprehensive risk analysis in the development of multimodal transportation. And explain how the proposed FAHP-DEA methodology contributes to identifying and prioritizing risks in this context.
|
Comprehensive risk manage direct risks from complexity in cost, schedule, scope, and quality control. FAHP can handle the vagueness and subjectivity of human judgments. The DEA method is used to define assessment grades in linguistic terms and to generate the local risk scores. |
|
Risk analysis is a critical process of identifying and analyzing significant issues to help industry mitigate those risks. However, identifying and prioritizing risks is more complex because of the ambiguity of the relevant data.
The presented AHP-ZOGP model has competitive performance compared with other techniques for determining multimodal transportation routes.
|
A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems
|
10 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 11 |
What is the significance of the Jammu-Srinagar National Highway in the context of the region?
|
It serves as a critical road connection between Kashmir valley and the rest of India |
|
The Jammu-Srinagar National Highway is the critical road connection between Kashmir valley and the rest of India.
|
ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 12 |
What are the primary challenges associated with the Jammu-Srinagar National Highway?
|
Landslides and rockslides, particularly in steep slopes and high mountains |
|
It passes through extremely steep slopes and high mountains prone to mass movements, particularly landslides and rockslides.
|
ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 13 |
Why does the highway experience continuous blockades, especially during winters?
|
Frequent snowfall and landslide-prone sites |
|
Many landslide-prone sites along the Highway are responsible for the continuous blockade almost throughout the year but peaking particularly during winters.
|
ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 14 |
What is the objective of the present study regarding the Jammu-Srinagar National Highway?
|
Characterizing factors triggering landslides and assessing future landslide events |
|
The present study aims to characterize various factors and their threshold values responsible for triggering a landslide.
|
ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 15 |
Essay | Discuss the major challenges faced by the Jammu-Srinagar National Highway and how landslides impact the region's economy. Explain the importance of the study in addressing these challenges and proposing effective countermeasures.
|
The major challenge is landslide that damage to life, property, and infrastructure. |
|
This work shall help devise countermeasures for managing the
landslides in the study area locally and shall serve as the guiding framework for using artificial intelligence and machine learning techniques for hazard management in the Himalayas.
|
ARIMA and SPSS statistics based assessment of landslide occurrence in western Himalayas
|
10 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 16 |
What is the primary focus of the research mentioned in the passage?
|
Evaluating economic and environmental damage |
|
The frequency of landslides and related economic and environmental damage has increased in recent decades across the hilly areas of the world, no exception is Bangladesh. Considering the first step in landslide disaster management, different methods have been applied but no methods found as best one.
|
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 17 |
How many machine learning algorithms were used for landslide susceptibility mapping in the research?
|
Three |
|
The research aims to prepare and evaluate landslide susceptibility maps (LSMs) of the Chattogram district using three machine learning algorithms of Logistic Regression (LR), Random forest (RF) and Decision and Regression Tree (DRT).
|
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 18 |
What are the key factors considered for landslide susceptibility mapping in the research?
|
All of the above |
|
Sixteen landslide conditioning factors were determined considering topographic, hydroclimatic, geologic and anthropogenic influence.
|
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 19 |
What percentage of the Chattogram district is identified as highly susceptible to landslides according to the LSMs?
|
9–12% |
|
The LSMs showed that almost 9–12 % of areas of the Chattogram district are highly susceptible to landslides.
|
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 20 |
Essay | Discuss the significance of landslide susceptibility mapping in the context of hazard management. How can the prepared maps be applied at the local scale for effective landslide risk reduction and mitigation in the Chattogram district?
|
The highly susceptible zones cover the Chattogram district’s hill ranges where active morphological processes are dominant. According to susceptibility zones, DRT is the more realistic model followed by LR. The maps can be applied at the local scale for landslide hazard management. |
|
The LSMs showed that almost 9–12 % of areas of the Chattogram district are highly susceptible to landslides. Among the models, LR showed the highest prediction rate and DRT showed the highest success rate. According to susceptibility zones, DRT is the more realistic model followed by LR. The maps can be applied at the local scale for landslide hazard management.
|
GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
|
10 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|