Geographic Information Systems for Intermodal Transportation: Methods, Models, and Applications
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
San Diego
Elsevier
2023
|
| Online Access: | HWR01 |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (372 Seiten) |
| ISBN: | 9780323901307 |
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| 245 | 1 | 0 | |a Geographic Information Systems for Intermodal Transportation |b Methods, Models, and Applications |
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| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a References | |
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| 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 References |
| ctrlnum | (ZDB-30-PQE)EBC7218178 (ZDB-30-PAD)EBC7218178 (ZDB-89-EBL)EBL7218178 (OCoLC)1373985784 (DE-599)BVBBV048921703 |
| dewey-full | 388.015118 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 388 - Transportation |
| dewey-raw | 388.015118 |
| dewey-search | 388.015118 |
| dewey-sort | 3388.015118 |
| dewey-tens | 380 - Commerce, communications, transportation |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>10826nmm a2200433zc 4500</leader><controlfield tag="001">BV048921703</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230502s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780323901307</subfield><subfield code="9">978-0-323-90130-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC7218178</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PAD)EBC7218178</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL7218178</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1373985784</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048921703</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-2070s</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">388.015118</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lee, Eunsu</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Geographic Information Systems for Intermodal Transportation</subfield><subfield code="b">Methods, Models, and Applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">San Diego</subfield><subfield code="b">Elsevier</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (372 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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. 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| id | DE-604.BV048921703 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:55:17Z |
| indexdate | 2024-07-10T09:49:55Z |
| institution | BVB |
| isbn | 9780323901307 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034185794 |
| oclc_num | 1373985784 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (372 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| record_format | marc |
| spelling | Lee, Eunsu Verfasser aut Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications San Diego Elsevier 2023 ©2023 1 Online-Ressource (372 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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 Erscheint auch als Druck-Ausgabe Lee, Eunsu Geographic Information Systems for Intermodal Transportation San Diego : Elsevier,c2023 9780323901291 |
| spellingShingle | Lee, Eunsu Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications 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 |
| title | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_auth | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_exact_search | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_exact_search_txtP | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_full | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_fullStr | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_full_unstemmed | Geographic Information Systems for Intermodal Transportation Methods, Models, and Applications |
| title_short | Geographic Information Systems for Intermodal Transportation |
| title_sort | geographic information systems for intermodal transportation methods models and applications |
| title_sub | Methods, Models, and Applications |
| work_keys_str_mv | AT leeeunsu geographicinformationsystemsforintermodaltransportationmethodsmodelsandapplications |