Capturing correlation with a mixed recursive logit model for activity-travel scheduling

Representing activity-travel scheduling decisions as path choices in a time-space network is an emerging approach in the literature. In this paper, we model choices of activity, location, timing an ...

[1]  Soora Rasouli,et al.  Activity-based models of travel demand: promises, progress and prospects , 2014 .

[2]  C. Bhat Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .

[3]  Hjp Harry Timmermans,et al.  Incorporating space-time constraints and activity-travel time profiles in a multi-state supernetwork approach to individual activity-travel scheduling , 2013 .

[4]  Hjp Harry Timmermans,et al.  A learning-based transportation oriented simulation system , 2004 .

[5]  Tien Mai,et al.  A decomposition method for estimating recursive logit based route choice models , 2016, EURO J. Transp. Logist..

[6]  Feixiong Liao,et al.  Modeling duration choice in space–time multi-state supernetworks for individual activity-travel scheduling , 2016 .

[7]  Michel Bierlaire,et al.  Capturing correlation with subnetworks in route choice models , 2007 .

[8]  Cinzia Cirillo,et al.  Dynamic model of activity-type choice and scheduling , 2010 .

[9]  K. Axhausen,et al.  Habitual travel behaviour: Evidence from a six-week travel diary , 2003 .

[10]  Jean-Patrick Lebacque,et al.  A cross entropy based multiagent approach for multiclass activity chain modeling and simulation , 2013 .

[11]  Moshe Ben-Akiva,et al.  Sampling of alternatives in Logit Mixture models , 2013 .

[12]  Anders Karlström,et al.  Reconciling User Benefit and Time-Geography-Based Individual Accessibility Measures , 2014 .

[13]  Tien Mai,et al.  A misspecification test for logit based route choice models , 2015 .

[14]  Moshe Ben-Akiva,et al.  PII: S0965-8564(99)00043-9 , 2000 .

[15]  Moshe Ben-Akiva,et al.  Moving from trip-based to activity-based measures of accessibility , 2006 .

[16]  M. Bierlaire,et al.  Sampling of Alternatives for Route Choice Modeling , 2009 .

[17]  Chandra R. Bhat,et al.  Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions , 2011 .

[18]  K. Train Discrete Choice Methods with Simulation , 2003 .

[19]  K. Train,et al.  Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level , 1998, Review of Economics and Statistics.

[20]  Matthew J. Roorda,et al.  A tour-based model of travel mode choice , 2005 .

[21]  Chandra R. Bhat,et al.  Activity-based Travel Demand Analysis , 2011 .

[22]  Tien Mai,et al.  A nested recursive logit model for route choice analysis , 2015 .

[23]  Xiaoning Zhu,et al.  Cross-nested logit model for the joint choice of residential location, travel mode, and departure time , 2013 .

[24]  Anders Karlström,et al.  A link based network route choice model with unrestricted choice set , 2013 .

[25]  Matthew J. Roorda,et al.  Prototype Model of Household Activity-Travel Scheduling , 2003 .

[26]  Yoram Shiftan,et al.  The use of activity-based modeling to analyze the effect of land-use policies on travel behavior , 2008 .

[27]  Tien Mai,et al.  Bike route choice modeling using GPS data without choice sets of paths , 2017 .

[28]  James J. Wang,et al.  Timing utility of daily activities and its impact on travel , 1996 .

[29]  Tien Mai A method of integrating correlation structures for a generalized recursive route choice model , 2016 .

[30]  Joel Freedman,et al.  Development of Microsimulation Activity-Based Model for San Francisco: Destination and Mode Choice Models , 2001 .

[31]  P. Toint,et al.  Application of an Adaptive Monte Carlo Algorithm to Mixed Logit Estimation , 2006 .

[32]  Mark Bradley,et al.  A MODEL FOR TIME OF DAY AND MODE CHOICE USING ERROR COMPONENTS LOGIC , 2003 .

[33]  Catherine Morency,et al.  Integrating parking behaviour in activity-based travel demand modelling: Investigation of the relationship between parking type choice and activity scheduling process , 2009 .

[34]  Michel Bierlaire,et al.  On The Overspecification of Multinomial and Nested Logit Models Due to Alternative Specific Constants , 1997, Transp. Sci..

[35]  Chandra R. Bhat,et al.  Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns , 2004 .

[36]  Chandra R. Bhat,et al.  A MIXED SPATIALLY CORRELATED LOGIT MODEL: FORMULATION AND APPLICATION TO RESIDENTIAL CHOICE MODELING , 2004 .

[37]  Chandra R. Bhat,et al.  ACCOMMODATING FLEXIBLE SUBSTITUTION PATTERNS IN MULTI-DIMENSIONAL CHOICE MODELING: FORMULATION AND APPLICATION TO TRAVEL MODE AND DEPARTURE TIME CHOICE , 1998 .

[38]  Khandker M. Nurul Habib,et al.  A random utility maximization (RUM) based dynamic activity scheduling model: Application in weekend activity scheduling , 2011 .

[39]  Andrew Daly,et al.  On the development of time period and mode choice models for use in large scale modelling forecasting systems , 2007 .

[40]  M. Bradley,et al.  SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution , 2010 .

[41]  A. Daly,et al.  Flexible substitution patterns in models of mode and time of day choice: new evidence from the UK and the Netherlands , 2007 .

[42]  C. Bhat Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model , 2001 .

[43]  Haijun Huang,et al.  Dynamic activity-travel assignment in multi-state supernetworks under transport and location capacity constraints , 2015 .