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Modelling multiple occurrences of activities during a day: an extension of the MDCEV model

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References

2019Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application965 cited
1984Discrete/Continuous Models of Consumer Demand777 cited
2007The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions484 cited
2004Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns400 cited
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1999Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends172 cited
2009Framework for the development of the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model141 cited
2009A multiple discrete–continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays128 cited
2000Identifying Decision Structures Underlying Activity Patterns: An Exploration of Data Mining Algorithms74 cited
1998Behavioural Assumptions Overlooked in Travel-Choice Modelling69 cited
2018We want it all: experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning

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40 cited

2016Modeling the activity profiles of a population37 cited

2017Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary data35 cited

2017Relationship between well-being and daily time use of elderly: evidence from the disabilities and use of time survey29 cited

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