An analysis of weekly out-of-home discretionary activity participation and time-use behavior |
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Authors: | Erika Spissu Abdul Rawoof Pinjari Chandra R Bhat Ram M Pendyala Kay W Axhausen |
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Institution: | (1) Department of Civil, Architectural &; Environmental Engineering, The University of Texas at Austin, 1 University Station, C1761, Austin, TX 78712, USA;(2) CRiMM – Dipartimento di Ingegneria del Territorio, University of Cagliari, Via San Giorgio 12, Cagliari, 09124, Italy;(3) Department of Civil &; Environmental Engineering, University of South Florida, 4202 E. Fowler Avenue, ENC 2503, Tampa, FL 33620, USA;(4) Department of Civil and Environmental Engineering, Arizona State University, Room ECG252, Tempe, AZ 85287-5306, USA;(5) IVT ETH - Honggerberg, HIL F 32.3, ETH Zurich, Wolfgang Pauli Strasse 15, 8093 Zurich, Switzerland |
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Abstract: | Activity-travel behavior research has hitherto focused on the modeling and understanding of daily time use and activity patterns
and resulting travel demand. In this particular paper, an analysis and modeling of weekly activity-travel behavior is presented
using a unique multi-week activity-travel behavior data set collected in and around Zurich, Switzerland. The paper focuses
on six categories of discretionary activity participation to understand the determinants of, and the inter-personal and intra-personal
variability in, weekly activity engagement at a detailed level. A panel version of the Mixed Multiple Discrete Continuous
Extreme Value model (MMDCEV) that explicitly accounts for the panel (or repeated-observations) nature of the multi-week activity-travel
behavior data set is developed and estimated on the data set. The model also controls for individual-level unobserved factors
that lead to correlations in activity engagement preferences across different activity types. To our knowledge, this is the
first formulation and application of a panel MMDCEV structure in the econometric literature. The analysis suggests the high
prevalence of intra-personal variability in discretionary activity engagement over a multi-week period along with inter-personal
variability that is typically considered in activity-travel modeling. In addition, the panel MMDCEV model helped identify
the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week
discretionary activity participation.
Erika Spissu
is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo
and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at the University of
Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and
travel demand forecasting.
Abdul Rawoof Pinjari
is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa.
His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting.
He has his Ph.D. from the University of Texas at Austin.
Chandra R. Bhat
is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced
econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and
the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished
Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the
Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel
Behaviour Research.
Ram M. Pendyala
is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona
State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based
microsimulation approaches, and time use. He specializes in integrated land use—transport models, transport policy formulation,
and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior
Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He
has his PhD from the University of California at Davis.
Kay W. Axhausen
is a Professor of Transport Planning at the Swiss Federal Institute of Technology (ETH) Zurich. Prior to his appointment at
ETH, he worked at the Leopold Franzens University of Innsbruck, Imperial College London and the University of Oxford. He has
been involved in the measurement and modelling of travel behaviour for the last 25 years, contributing especially to the literature
on stated preferences, microsimulation of travel behaviour, valuation of travel time and its components, parking behaviour,
activity scheduling and travel diary data collection. |
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Keywords: | Activity-travel behavior Multiweek analysis Inter-personal variability Intra-personal variability Discrete-continuous model Panel data Unobserved factors |
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