caa a22 4500 445890347 CHVBK 20180317145614.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s11116-010-9294-9 doi (NATIONALLICENCE)springer-10.1007/s11116-010-9294-9 Habib Khandker Department of Civil Engineering, University of Toronto, M5S 1A4, Toronto, Canada aut A random utility maximization (RUM) based dynamic activity scheduling model: Application in weekend activity scheduling [Elektronische Daten] [Khandker Habib] The paper presents a modeling framework for dynamic activity scheduling. The modeling framework considers random utility maximization (RUM) assumption for its components in order to capture the joint activity type, location and continuous time expenditure choice tradeoffs over the course of the day. The dynamics of activity scheduling process are modeled by considering the history of activity participation as well as changes in time budget availability over the day. For empirical application, the model is estimated for weekend activity scheduling using a dataset (CHASE) collected in Toronto in 2002-2003. The data set classifies activities into nine general categories. For the empirical model of a 24-h weekend activity scheduling, only activity type and time expenditure choices are considered. The estimated empirical model captures many behavioral details and gives a high degree of fit to the observed weekend scheduling patterns. Some examples of such behavioral details are the effects of time of the day on activity type choice for scheduling and on the corresponding time expenditure; the effects of travel time requirements on activity type choice for scheduling and on the corresponding time expenditure, etc. Among many other findings, the empirical model reveals that on the weekend the utility of scheduling Recreational activities for later in the day and over a longer duration of time is high. It also reveals that on the weekend, Social activity scheduling is not affected by travel time requirements, but longer travel time requirements typically lead to longer-duration social activities. Springer Science+Business Media, LLC., 2010 Travel demand model nationallicence Activity-based model nationallicence Activity scheduling nationallicence RUM nationallicence Discrete-continuous choice nationallicence Transportation Springer US; http://www.springer-ny.com 38/1(2011-01-01), 123-151 0049-4488 38:1<123 2011 38 11116 https://doi.org/10.1007/s11116-010-9294-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11116-010-9294-9 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Habib Khandker Department of Civil Engineering, University of Toronto, M5S 1A4, Toronto, Canada aut NATIONALLICENCE 773 0- Transportation Springer US; http://www.springer-ny.com 38/1(2011-01-01), 123-151 0049-4488 38:1<123 2011 38 11116 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer