AN ACTIVITY-EPISODE GENERATION MODEL THAT CAPTURES INTERACTIONS BETWEEN HOUSEHOLD HEADS: DEVELOPMENT AND EMPIRICAL ANALYSIS

By Darren M. Scott, Pavlos S. Kanaroglou. 2002

188 citations recorded by the source corpus.

Subfields: Automotive Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/e239d12e586fdc73cee578f2f91ad400690269bf

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In Automotive Engineering

In Transportation

Citations in the corpus

Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence (2004, background): “Potential strategies for gathering such information might include the use of traditional trip diaries (Scott and Kanaroglou, 2002) or random monitoring of roadways to record the incidence of factors that might lead to police stops.”
When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010, background): “The individual is the primary unit of analysis in most activity-based travel studies, but attention recently shifted toward the complex interactions between household members and how this influences activity and travel behaviour (e.g., Schwanen et al., 2007; Schwanen, 2007, 2008a; Srinivasan and Bha”
The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models (2014, background): “(2007), Scott and Axhausen (2006), and LaMondia and Bhat (2011).9 The study by Scott and Kanaroglou (2002) represents an example of three correlated ordered-response outcomes.”
Activity-based Travel Demand Analysis (2011, background): “Joint activity-travel engagement (see, for example, Gliebe and Koppelman, 2002; Scott and Kanaroglou, 2002; and Zhang et al., 2004); and 3.”
Why do you care what other people think? A qualitative investigation of social influence and telecommuting (2011, background): “Social interactions have been studied primarily from an intra-household perspective, to explore issues such as activity-episode generation [2], daily activity-travel patterns [3], and time allocation behavior [4].”
A multidimensional mixed ordered-response model for analyzing weekend activity participation (2005, methodology): “Individuals within households interact to satisfy and meet personal and household maintenance needs (Bhat and Koppelman, 1999; Srinivasan and Bhat, 2004), enjoy companionship and undertake activities jointly (Wen and Koppelman, 2000; Gliebe and Koppelman, 2002; Zhang et al., 2002; Fujii et al., 1999”
A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered-response model (2010, unknown): “Ordered response model systems are used when analyzing ordinal discrete outcome data that may be considered as manifestations of an underlying scale that is endowed with a natural ordering.”