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Geographic Information Systems for Intermodal Transportation
Methods, Models, and Applications
- 1st Edition - March 21, 2023
- Author: Eunsu Lee
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 1 2 9 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 1 3 0 - 7
Geographic Information Systems for Intermodal Transportation: Methods, Models, Applications examines the basic concepts and applications of Geographic Information Systems for Tr… Read more
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Request a sales quoteGeographic 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
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- Acknowledgments
- Section A: Transportation network and designing database
- 1: Geographic information systems and intermodal transportation
- Abstract
- 1.1: Introduction
- 1.2: What is GIS?
- 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
- 2: Network representation and network modeling
- Abstract
- 2.1: Introduction
- 2.2: Learning objectives
- 2.3: Concept and theory
- 2.4: Types of graphs
- 2.5: Network graph
- 2.6: Graph to network
- 2.7: Connectivity of road network
- 2.8: Network representation
- 2.9: Discussion
- References
- 3: Data modeling and database design
- Abstract
- 3.1: Learning objectives
- 3.2: Introduction
- 3.3: Concept and theory
- 3.4: Data models
- 3.5: Data modeling
- 3.6: Summary
- 3.7: Discussion
- References
- Section B: Network design and modeling
- 4: Roads and highways
- Abstract
- 4.1: Introduction
- 4.2: Learning objectives
- 4.3: Highway network
- 4.4: Vehicle characteristics
- 4.5: Regulation and policy
- 4.6: Highway network design
- 4.7: Summary
- 4.8: Questions and problems
- References
- 5: Railways
- Abstract
- 5.1: Learning objectives
- 5.2: Introduction
- 5.3: Railway network characteristics
- 5.4: Railway network design
- 5.5: Summary
- 5.6: Questions and problems
- References
- 6: Waterways
- Abstract
- 6.1: Introduction
- 6.2: Learning objectives
- 6.3: Body of water
- 6.4: Navigable waters
- 6.5: Harbor
- 6.6: Waterway network design
- 6.7: Summary
- 6.8: Questions and problems
- References
- 7: Skyways
- Abstract
- 7.1: Introduction
- 7.2: Learning objectives
- 7.3: Aviation intermodal characteristics
- 7.4: Airport infrastructure
- 7.5: Aircraft
- 7.6: Unit load devices
- 7.7: Service
- 7.8: Aviation intermodal route design
- 7.9: Questions and problems
- References
- Section C: Intermodal network design and modeling
- 8: Intermodal network facilities
- Abstract
- 8.1: Learning objectives
- 8.2: Introduction
- 8.3: Roads and highway facilities
- 8.4: Border crossing (point of entry) in North America
- 8.5: Railway facilities
- 8.6: Dams and locks
- 8.7: Summary
- 8.8: Questions and problems
- References
- 9: Intermodal network design and management
- Abstract
- 9.1: Learning objectives
- 9.2: Introduction
- 9.3: Facility types by functions
- 9.4: Facility types by combination of modes
- 9.5: Summary
- 9.6: Questions and problems
- References
- 10: Routing problem
- Abstract
- 10.1: Learning objectives
- 10.2: Introduction
- 10.3: Shortest path algorithm
- 10.4: Maximal flow model
- 10.5: Vehicle routing problem
- 10.6: VRP algorithms
- 10.7: Summary
- 10.8: Questions and problems
- References
- 11: Mode choice
- Abstract
- 11.1: Learning objectives
- 11.2: Introduction
- 11.3: Regression model
- 11.4: Logit choice model
- 11.5: Multinomial logit model
- 11.6: Nested logit model
- 11.7: Summary
- 11.8: Questions and problems
- References
- Section D: Advances in intermodal transportation network
- 12: Spatial analysis
- Abstract
- 12.1: Learning objectives
- 12.2: Introduction
- 12.3: Detour
- 12.4: 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
- 13: Trends and Advances
- Abstract
- 13.1: Introduction
- 13.2: Learning objectives
- 13.3: Open source
- 13.4: Emerging data sources
- 13.5: Big data
- 13.6: Summary
- 13.7: Questions and problems
- References
- Index
- No. of pages: 370
- Language: English
- Edition: 1
- Published: March 21, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780323901291
- eBook ISBN: 9780323901307
EL
Eunsu Lee
EunSu Lee, Associate New Jersey City University, teaches courses at the undergraduate and graduate level in Supply Chain Management, Logistics, Transportation Management, Transportation Systems Modeling, Transportation Planning and Environmental Compliance, and GIS for Transportation. He holds professional certifications in Geographic Information Systems, Certified Production and Inventory Management, and Supply Chain. His articles have appeared in numerous journals including Transportation Research Record: Journal of Transportation Research Board, Journal of Transportation Research Forum, ISPRS International Journal of Geo-Information, and Management Research Review. He is an active member in TRB’s Standing Committee on Visualization in Transportation.
Affiliations and expertise
Associate Professor, School of Business, New Jersey City University, Jersey City, NJ, USARead Geographic Information Systems for Intermodal Transportation on ScienceDirect