Content of book - 'City Logistics - Network Modelling and Intelligent Transport Systems'

By E. Taniguchi, R. G. Thompson, T. Yamada and R. van Duin

Pergamon (http://www.elsevier.nl)

January 2001

ISBN: 0-08-04903-9

Price: DGL 185 (USD 91, Euro 83.95)

260 pages, Hardbound

This book presents the fundamental concepts and general approaches for City Logistics. City Logistics is the process of totally optimising urban logistics activities by considering the social, environmental, economic, financial and energy impacts of urban freight movement. City Logistics initiatives are required to solve urban freight transport problems including high levels of traffic congestion, negative environmental impacts, high energy consumption and a shortage of labour.

This book focuses on modelling City Logistics. Modelling is very important, since estimates of the impacts generated by City Logistics measures are required for evaluating them. It highlights the formulation of mathematical models of vehicle routing and scheduling with Intelligent Transport Systems (ITS), optimal terminal locations and impact estimation by City Logistics measures. Heuristics techniques such as genetic algorithms, simulated annealing and tabu search are also given to identify approximate optimal solution of these combinatorial optimisation problems.

ITS provides powerful tools for efficiently managing and operating vehicle fleets. Sophisticated logistics systems can now be developed by integrating Global Positioning Systems (GPS) and Geographical Information Systems (GIS) in conjunction with application software. In this context, we present a theoretical and practical treatment of modelling City Logistics based on ITS.

The models described in this book should provide useful tools for researchers and city planners for evaluating City Logistics policies or measures to help solve urban freight problems.

CONTENTS

Introduction

1.1 Background

1.2 Fundamental Concepts

1.3 Stakeholders

1.4 Evaluation criteria

1.5 City logistics schemes

1.6 Modelling

1.7 Systems approach

Modelling City Logistics

2.1 A Modelling framework

2.2 The model development process

2.3 Mathematical programming

2.4 Optimisation

2.5 Simulation

2.6 Meta-Heuristic techniques

2.7 Modelling actors' perceptions

City Logistics with ITS

3.1 Fundamental concepts

3.2 Data acquisition

3.3 Data processing

3.4 Information Dissemination

3.5 Geographic information systems

3.6 Effects of e-commerce

3.7 Current ITS applications

3.8 Evaluation issues

Demand and supply models

4.1 Overviews

4.2 Generation

4.3 Distribution

4.4 Mode split

4.5 Assignment

4.6 Simulation models

4.7 Travel times

4.8 Generalised costs

Impact models

5.1 Overview

5.2 Social and economic models

5.3 Environmental models

5.4 Financial models

5.5 Energy consumption models

5.6 Case study (The new underground freight transport system for Tokyo)

Vehicle routing and scheduling

6.1 Overview

6.2 Travelling salesman problems

6.3 Vehicle routing and scheduling with time windows

6.4 Vehicle routing and scheduling with time windows and traffic simulation

Vehicle routing and scheduling with ITS

7.1 Overview

7.2 Probabilistic vehicle routing and scheduling with time windows

7.3 Probabilistic vehicle routing and scheduling with time windows and traffic simulation

7.4 Dynamic vehicle routing and scheduling with real time information

Location of logistics terminals

8.1 Overview

8.2 Size

8.3 Location

8.4 Location with traffic assignment

8.5 Multi-objective optimization

Future perspectives

9.1 Systems view and future developments

9.2 Intermodal transport systems

9.3 Underground freight transport systems

9.4 Virtual freight companies

References 

Source: http://www.citylogistics.org/