A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity–Travel Patterns
- 1 January 2005
- journal article
- Published by SAGE Publications in Environment and Planning A: Economy and Space
- Vol. 37 (1), 105-125
- https://doi.org/10.1068/a36214
Abstract
This paper reports the results of an application of the Aurora model to estimate the utility functions underlying activity–duration decisions in daily activity–travel patterns. Multidimensional sequence alignment is used to derive segments for activity–travel diary data, collected in the Amsterdam–Utrecht corridor in the Netherlands. The profiles of the resulting segments are derived from a descriptive analysis of sociodemographic variables. A tailored genetic algorithm is then used to estimate the parameter of an asymmetrical utility function for each of the resulting segments. The results suggest that the utility of activity duration varies between activities and between segments, and hence sociodemographics.Keywords
This publication has 10 references indexed in Scilit:
- Activity pattern similarity: a multidimensional sequence alignment methodTransportation Research Part B: Methodological, 2002
- Multidimensional Sequence Alignment Methods for Activity‐Travel Pattern Analysis: A Comparison of Dynamic Programming and Genetic AlgorithmsGeographical Analysis, 2001
- An analysis of time allocation to in-home and out-of-home discretionary activities across working days and non- working daysTransportation, 1999
- Activity Pattern Analysis by Means of Sequence-Alignment MethodsEnvironment and Planning A: Economy and Space, 1998
- Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural AnalysisArtificial Intelligence Review, 1998
- Duration of trip-making activities by men and womenTransportation, 1996
- The sequenced activity mobility simulator (SAMS): an integrated approach to modeling transportation, land use and air qualityTransportation, 1996
- Temporal stability of travelers' activity choice and home-stay duration: Some empirical evidenceTransportation, 1994
- Genetic Algorithms for Real Parameter OptimizationFoundations of Genetic Algorithms, 1991
- A model of daily time allocation to discretionary out-of-home activities and tripsTransportation Research Part B: Methodological, 1984