Informed Urban Transport Systems

Informed Urban Transport Systems

Classic and Emerging Mobility Methods toward Smart Cities

1st Edition - July 25, 2018

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  • Author: Joseph Chow
  • Paperback ISBN: 9780128136133
  • eBook ISBN: 9780128136140

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Informed Urban Transport Systems examines how information gathered from new technologies can be used for optimal planning and operation in urban settings. Transportation researchers, and those from related disciplines, such as artificial intelligence, energy, applied mathematics, electrical engineering and environmental science will benefit from the book’s deep dive into the transportation domain, allowing for smarter technological solutions for modern transportation problems. The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve. Readers will learn from, and be able to interpret, the information and data collected from modern mobile and sensor technologies and understand how to use system optimization strategies using this information. The book concludes with an evaluation of the social and system impacts of modern transportation systems.

Key Features

  • Takes a fresh look at transportation systems analysis and design, with an emphasis on urban systems and information/data use
  • Serves as a focal point for those in artificial intelligence and environmental science seeking to solve modern transportation problems
  • Examines current analytical innovations that focus on capturing, predicting, visualizing and controlling mobility patterns
  • Provides an overview of the transportation systems benefitting from modern technologies, such as public transport, freight services and shared mobility service models, such as bike sharing, peer-to-peer ride sharing and shared taxis


Transportation system professionals, and urban planning researchers and practitioners. Non-transportation researchers, such as computer science, energy, economics, environmental science, and electrical engineering, interested in transportation. State and federal transportation and urban policy decisions makers, and planners

Table of Contents

  • Part A: Fundamentals

    1. Urban Transport Systems

    1.1 Introduction

    1.2 Urban Transport Systems (UTS): Definitions

    1.3 Examples of the Need for UTS Engineers

    1.4 Manheim-Florian-Gaudry (MFG) Framework

    1.5 A Simulation Tool for Evaluating UTS: MATSim

    1.6 Use Case Motivations for Book Chapters

    Research and Design Challenges

    2. Monitoring Mobility in Smart Cities

    2.1 Introduction

    2.2 Smart Cities, Big Data, and the Internet of Things

    2.3 Monitoring Mobility

    2.4 Time Geography

    2.5 Travel Momentum Fields (TMFs)

    2.6 TMF: Transport Route Projections

    2.7 TMF: Before-After Analysis

    Research and Design Challenges

    Part B: Evaluation of Informed Systems

    3. Network Equilibrium Under Congestion

    3.1 The Need to Evaluate Congestion Effects

    3.2 User Equilibrium in Road Networks

    3.3 Fixed Route Transit Assignment

    3.4 Other Equilibria

    3.5 Transport Systems as Two-Sided Markets

    Research and Design Challenges

    4. Market Schedule Equilibrium for Multimodal Systems

    4.1 The Need to Evaluate Activity Scheduling Behavior

    4.2 Complexity of Activity Scheduling

    4.3 A Model of User Activity Scheduling Behavior

    4.4 Market Schedule Equilibrium for a Transport System

    4.5 Urban Freight Activity Analysis

    Research and Design Challenges

    Part C Learning From Public Information

    5. Inverse Transportation Problems

    5.1 Introduction

    5.2 Machine Learning Applications in Urban Transport

    5.3 Inverse Transportation Problems

    5.4 Multiagent Inverse Transportation Problems

    5.5 Network Learning

    Research and Design Challenges

    6. Privacy in Learning

    6.1 Introduction

    6.2 User Privacy

    6.3 Operator Competitive Privacy Control

    6.4 Network Learning With Privacy Awareness

    Research and Design Challenges

    Part D Design of Informed Systems

    7. Network Design

    7.1 Introduction

    7.2 Network Design Problems

    7.3 Bilevel Network Design

    7.4 Network Design Under Coexisting Systems

    Research and Design Challenges

    8. Network Portfolio Management

    8.1 Introduction

    8.2 Decision-Making Under Uncertainty

    8.3 Optimal Timing Under Uncertainty: Real Options Methods

    8.4 Operating Mode Switching Under Uncertainty

    8.5 Sequential Network Design and Timing

Product details

  • No. of pages: 490
  • Language: English
  • Copyright: © Elsevier 2018
  • Published: July 25, 2018
  • Imprint: Elsevier
  • Paperback ISBN: 9780128136133
  • eBook ISBN: 9780128136140

About the Author

Joseph Chow

Joseph Chow is an Assistant Professor in the Department of Civil & Urban Engineering and Center for Urban ITS at NYU, New York, NY. He also heads BUILT@NYU, the Behavioral Urban Informatics, Logistics, and Transport Laboratory. His research expertise lies in transportation systems, with emphasis on multimodal networks, behavioral urban logistics, smart cities, and transport economics. He is the elected Vice Chair of the Urban Transportation SIG at INFORMS Transportation Science & Logistics Society, and an appointed member of TRB’s Editorial Board for the Committee on Transportation Network Modeling. He has been published in many journals, including Elsevier’s Transportation Research Part C: Emerging Technologies, Transportation Research Part B: Methodological, Transportation Research Part E: Logistics and Transportation Review, Transportation Research Part A: Policy and Practice, and Journal of Transport Geography

Affiliations and Expertise

Assistant Professor, Department of Civil and Urban Engineering and Deputy Director, C2SMART University Transportation Center, Behavioral Urban Informatics, Logistics and Transport Lab, Tandon School of Engineering, New York University, NY, USA

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