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Umfang: 1 online resource (372 pages)

ISBN: 9780323901307

Inhalt: 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 airway-as well as the combined intermodal transportation network. The book shows how GIS generates vehicle routes and shorted paths, develops transportation demand models, analyzes spatial data, and how three-dimensional modelling is applied to the intermodal transportation. Includes real-world case studies from diverse situations Provides step-by-steps insights using data to deliver effective outputs for all stakeholders Presents models and practices for using GIS techniques to solve intermodal transportation problems Includes learnings tools such as chapter objectives, discussion questions and a glossary.

Anmerkung: 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. , References.

Weitere Ausg.: Print version: Lee, Eunsu Geographic Information Systems for Intermodal Transportation San Diego : Elsevier,c2023 ISBN 9780323901291

Sprache: Englisch