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Geographic Information Systems for Intermodal Transportation

Methods, Models, and Applications

  • 1st Edition - March 21, 2023
  • Latest edition
  • Author: Eunsu Lee
  • Language: English

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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Description

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.

Key features

  • 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

Readership

Transportation graduate students
Transportation planners and consultants

Table of contents

Preface
Acknowledgments
Section A Transportation network and designing
database

1. Geographic information systems and intermodal
transportation

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

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

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

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

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

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

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
viii Contents
Section C Intermodal network design and modeling

8. Intermodal network facilities

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

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

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

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

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

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

Product details

  • Edition: 1
  • Latest edition
  • Published: March 21, 2023
  • Language: English

About the author

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

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