Title:
Progress in activity-based analysis
Edition:
1st ed.
Publication Information:
Boston, MA : Elsevier, 2005
ISBN:
9780080445816
General Note:
Papers from a conference held in Maastricht, Netherlands, May 28-31, 2004.
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010105874 | HE336.C5 P76 2005 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
In recent years, transportation research has seen a gradual shift from trip-based, via tour-based to activity-based models, in an effort to capture the true complexity of travel behaviour. This volume reflects an eventful decade of development and application of activity-based models. In three extensive sections, it: reviews a range of approaches to incorporating increased complexity in models; discusses how to obtain the rich data necessary to support complex models; and reports on real applications in action. It is an essential reading for any researcher or practitioner wishing to keep abreast of this key area of transportation research.
Table of Contents
Contents | p. v |
List of Figures | p. ix |
List of Tables | p. xiii |
Preface | p. xvii |
Activity-Based Approaches: Models, Data and Applications | p. xix |
Chapter 1 Contributions to Understanding Joint Relationships among Activity and Travel Variables | p. 1 |
Chapter 2 A Dynamic Programming Approach for the Activity Generation and Scheduling Problem | p. 25 |
Chapter 3 Simulation of Daily Activity Patterns | p. 43 |
Chapter 4 Simulation Daily Activity Patterns through the Identification of Sequential Dependencies | p. 67 |
Chapter 5 Adjustments of Activity Timing and Duration in an Agent-Based Traffic Flow Simulation | p. 91 |
Chapter 6 The Scheduling Agent-Using Sesam to Implement a Generator of Activity Programs | p. 115 |
Chapter 7 Activity-Based Analysis of Travel Demand Using Cognitive Agents | p. 139 |
Chapter 8 Adaptation of Time Use Patterns to Simulated Travel Times in a Travel Demand Model | p. 161 |
Chapter 9 An Integrated Framework for Modelling Short- and Long-Run Household Decision-Making | p. 175 |
Chapter 10 Strategies for Resolving Activity Scheduling Conflicts: An Empirical Analysis | p. 203 |
Chapter 11 Sequential and Simultaneous Choice Structures for Modelling Intra-Household Interactions in Regional Travel Models | p. 223 |
Chapter 12 An Empirical Comparison of Alternative Models of Household Time Allocation | p. 259 |
Chapter 13 Incorporating Latent Determinants in Activity Time Allocation Modelling: Application to Value of Activity Time Estimation | p. 285 |
Chapter 14 An Analysis of Activity Type Classification and Issues Related to the With Whom and For Whom Questions of an Activity Diary | p. 309 |
Chapter 15 Recent Developments in Activity Diary-Based Surveys and Analysis: Some Japanese Case Studies | p. 335 |
Chapter 16 A Data Collection Strategy for Perceived and Observed Flexibility in the Spatio-Temporal Organisation of Household Activities and Associated Travel | p. 355 |
Chapter 17 The Design and Implementation of an Activity Scheduling Survey Using The Internet | p. 373 |
Chapter 18 Activity-Based Travel Forecasting Models in The United States: Progress Since 1995 and Prospects for the Future | p. 389 |
Chapter 19 Two Applications of GIS-Based Activity-Travel Simulators | p. 415 |
Chapter 20 The Relation Between Motives and Frequency of Telework: A Qualitative Study from The Oslo Region on Telework and Transport Effects | p. 437 |
Chapter 21 Changing Travel Characteristics and Activity Travel Patterns of Households Through Telecommuting? | p. 457 |
Chapter 22 Communication and Travel Behaviour: Two Facets of Human Activity Patterns | p. 471 |
Chapter 23 Choices of Activity- and Travel-Change Options for Reduced Car Use | p. 489 |