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Geographic Information Systems for Intermodal Transportation
Methods, Models, and Applications
1st Edition - March 21, 2023
Author: Eunsu Lee
Paperback ISBN:9780323901291
9 7 8 - 0 - 3 2 3 - 9 0 1 2 9 - 1
eBook ISBN:9780323901307
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… Read more
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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
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
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, USA