Geographic information systems for intermodal transportation : methods, models, and applications /

Geographic Information Systems for Intermodal Transportation: Methods, Models, Applications examines the basic concepts and applications of Geographic Information Systems for Transportation. The book discusses the unique characteristics of each transportation mode-- highway, railway, waterway and ai...

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Bibliographic Details
Main Author:	Lee, EunSu, 1970- (Author)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands ; Kidlington, Oxford, United Kingdom ; Cambridge, MA, United States : Elsevier, [2023]
Subjects:	Transportation > Mathematical models. Transportation geography. Geographic information systems. Transport > Modèles mathématiques. Géographie des transports. Geographic information systems Transportation geography Transportation > Mathematical models Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Intro
Geographic Information Systems for Intermodal Transportation: Methods, Models, and Applications
Copyright
Dedication
Contents
Preface
Acknowledgments
Section A: Transportation network and designing database
Chapter 1: Geographic information systems and intermodal transportation
1.1. Introduction
1.2. What is GIS?
1.2.1. Geographic
1.2.2. Information
1.2.3. Systems
1.3. Multimodal and intermodal transportation?
1.4. GIS for transportation (GIS-T)
1.5. GIS for intermodal transportation?
1.6. Summary
1.7. Discussions
References
Chapter 2: Network representation and network modeling
2.1. Introduction
2.2. Learning objectives
2.3. Concept and theory
2.3.1. Concept of graph theory
2.3.2. Representations of graphs
2.4. Types of graphs
2.4.1. Complete graph
2.4.2. Subgraph
2.4.3. Regular graph
2.4.4. Bipartite graph and complete bipartite graph
2.4.5. Spanning graph
2.4.6. Isomorphic graph
2.4.7. Planar graph
2.5. Network graph
2.6. Graph to network
2.7. Connectivity of road network
2.8. Network representation
2.9. Discussion
References
Chapter 3: Data modeling and database design
3.1. Learning objectives
3.2. Introduction
3.3. Concept and theory
3.3.1. Data model
3.3.2. Data structure
3.3.3. Data types
3.3.4. File format
3.3.5. Data object
3.3.6. Integrity rules
Domain integrity rules
3.3.7. Operations
3.4. Data models
3.4.1. Conceptual data model
3.4.2. Logical data model
3.4.3. Physical data model
3.5. Data modeling
3.5.1. Database model
3.5.2. Entity relationship model
3.5.3. Spatial data model
3.5.4. Conceptual spatial data model
3.5.5. Logical spatial data model
Vector data model
Overlay
Intersection
Identity
UNION
Spatial JOIN.
Data modeling techniques
3.6. Summary
3.7. Discussion
References
Section B: Network design and modeling
Chapter 4: Roads and highways
4.1. Introduction
4.2. Learning objectives
4.3. Highway network
4.3.1. Factors affecting route choice
4.3.2. Highway functional classification
Minor arterials
Collectors
Local roads
4.3.3. Pavement
4.3.4. Toll
4.3.5. Bridge
4.3.6. Turn
4.4. Vehicle characteristics
4.4.1. Typical truck configurations
Single unit (SU) or straight trucks
Combination trucks
Longer combination vehicles (LCVs)
4.4.2. Freight truck constraint
4.5. Regulation and policy
4.5.1. Speed limit
4.5.2. National freight corridors
4.6. Highway network design
4.6.1. North American Roads (NAR)
4.7. Summary
4.8. Questions and problems
References
Chapter 5: Railways
5.1. Learning objectives
5.2. Introduction
5.3. Railway network characteristics
5.3.1. Track
Track gauge
Standard gauge
Narrow gauge
Broad gauge
Railway
Railway function classification
5.3.2. Classes of carriers
Class I
Shortlines
Switching and terminal
Railway density
Traffic density
5.3.3. Track configuration
Single-track railway
Double-track railway
5.3.4. Railroad freight car
5.3.5. Service
Piggyback
Double stack
Transcontinental railroads
Landbridge
Mini bridge
Unit train
Train ferry
Car float
ExpressRail (on-dock and near-dock service)
5.3.6. Speed limit
5.3.7. Shipping document
Bill of lading
Waybill
Carload waybill sample
Public use waybill
Differential pricing
5.4. Railway network design
5.4.1. National Transportation Atlas Database (NTAD)
5.4.2. North American Rail Network (NARN)
5.5. Summary
5.6. Questions and problems
References
Chapter 6: Waterways.
6.1. Introduction
6.2. Learning objectives
6.3. Body of water
6.3.1. Waters of the United States
6.3.2. Jurisdiction waters
6.3.3. Nonjurisdictional waters
6.4. Navigable waters
6.4.1. Waterway
Waterways
6.4.2. US Marine Highways
Methods:
Locations:
6.4.3. International waterways
6.5. Harbor
6.5.1. Definition and scope
6.5.2. Facilities and management in a harbor
6.5.3. Channels and waterways
6.5.4. Waterway facilities
6.6. Waterway network design
6.6.1. Waters of the United States
6.6.1.1. TIGER hydrography linear and areas
6.6.1.2. Coastal lines
6.6.1.3. Water lines
6.6.2. Navigable waterway lines
6.6.3. Locks
6.7. Summary
6.8. Questions and problems
References
Chapter 7: Skyways
7.1. Introduction
7.2. Learning objectives
7.3. Aviation intermodal characteristics
7.4. Airport infrastructure
7.4.1. Runway
Element 1 of the Code is as follows
Element 2 of the Code
7.4.2. Cargo handling facility
7.4.3. Hours of operation
7.5. Aircraft
7.5.1. Structure of an aircraft cargo space
7.5.2. By size
7.5.3. By type of traffic
7.5.4. Types of aircraft utilized for air cargo: Aircraft and payload
7.6. Unit load devices
7.7. Service
7.7.1. Types of service
7.7.2. Service class
7.7.3. Policy
7.8. Aviation intermodal route design
7.8.1. Airports
7.8.2. Airlines
CODESHARE
7.8.3. International_Report_Freight
Using Excel:
7.8.4. Runway (polygon)
7.8.5. Runway (polyline)
7.8.6. Routes
7.9. Questions and problems
References
Section C: Intermodal network design and modeling
Chapter 8: Intermodal network facilities
8.1. Learning objectives
8.2. Introduction
8.3. Roads and highway facilities
8.3.1. Toll
8.3.2. Bridge
Vertical clearance of a bridge
Weight limit on bridge.
8.3.3. Tunnel
8.3.4. Truck parking and stops
8.4. Border crossing (point of entry) in North America
8.5. Railway facilities
8.5.1. Railroad bridge
8.5.2. Yard
8.6. Dams and locks
8.7. Summary
8.8. Questions and problems
References
Chapter 9: Intermodal network design and management
9.1. Learning objectives
9.2. Introduction
9.3. Facility types by functions
9.3.1. Storage
9.3.2. Warehouse
9.3.3. Yard
9.3.4. Distribution center
9.3.5. Cross-docking facility
9.4. Facility types by combination of modes
9.4.1. Truck-water (or road-water) intermodal terminal
9.4.2. Intermodal freight rail facilities: COFC and COFC/TOFC
9.4.3. Intermodal freight facility: Marine roll-on-roll-off
Layer 1: RORO terminal
Layer 2: North American Railway Lines
9.4.4. Intermodal freight facility: Pipeline
9.4.5. Intermodal freight facilities: Air-to-truck
9.5. Summary
9.6. Questions and problems
References
Chapter 10: Routing problem
10.1. Learning objectives
10.2. Introduction
10.3. Shortest path algorithm
10.3.1. Dijkstras shortest path algorithm
Pseudo codes
10.3.2. Integer and linear programming
10.4. Maximal flow model
10.4.1. Graph
10.4.2. Integer linear program
10.4.3. Data structure
10.5. Vehicle routing problem
10.5.1. Vehicle routing problem
10.5.2. Vehicle routing problem with time windows (VRPT)
10.5.3. Multiple depot vehicle routing problems (MDVRP)
10.5.4. Vehicle routing problem with backhauls (VRPB)
10.5.5. Period vehicle routing problem (PVRP)
10.5.6. Heterogeneous fleet vehicle routing problem (HVRP)
10.6. VRP algorithms
10.6.1. Saving algorithm
10.6.2. Sweeping algorithm
10.7. Summary
10.8. Questions and problems
References
Chapter 11: Mode choice
11.1. Learning objectives
11.2. Introduction.
11.3. Regression model
11.3.1. Definitions
11.3.2. Assumptions for a regression analysis
Normality assumption
Linearity assumption
Independence assumption
Homoscedasticity assumption
11.3.3. Models
11.3.4. Example
Simple regression
Estimate
P-value and R2
Estimate
P-value and R2
11.4. Logit choice model
11.4.1. Definition
11.4.2. Model
Step 1. Developing logistic response function
Step 2. Computing the odds and odds ratio
Step 3. Taking log on both sides
11.4.3. Example
11.5. Multinomial logit model
11.5.1. Definition
11.5.2. Model
11.6. Nested logit model
11.6.1. Definition
11.6.2. Model
11.7. Summary
11.8. Questions and problems
References
Section D: Advances in intermodal transportation network
Chapter 12: Spatial analysis
12.1. Learning objectives
12.2. Introduction
12.3. Detour
12.3.1. Origin-destination matrix
12.3.2. Detour matrix
12.3.3. Detour index
12.3.4. Detour length
12.4. Facility location
12.4.1. Process of spatial analysis
12.4.2. Definition
12.4.3. Minimum facility location
12.5. Clustering: P-median problem
12.6. Spatial interaction: Gravity model
12.7. Buffer analysis: Service area
12.8. Summary
12.9. Questions and problems
References
Chapter 13: Trends and Advances
13.1. Introduction
13.2. Learning objectives
13.3. Open source
13.3.1. Open-source GIS
13.3.2. Benefits of open source
13.4. Emerging data sources
13.4.1. Sensors: Internet of Things (IoT)
Transportation management: Visibility and tracking
Facility management: Terminals, distribution centers, and warehouses
13.4.2. Automatic identification system (AIS)
13.4.3. Artificial intelligence and machine learning
Machine learning
13.5. Big data
13.6. Summary
13.7. Questions and problems.