Tour-based mode choice modelling as the core of an activity-based travel demand modelling framework: a review of state-of-the-art

ABSTRACT The paper presents a critical review of the methodological approaches used in tour-based mode choice models within the activity-based modelling frameworks. Various components of the activity-based models, such as activity type choice, activity location choice, and activity duration have already matured significantly. However, the mode choice component is often simplified in many ways. Both trip-based and tour-based approaches are used in many cases. However, the tour-based approach is considered to be the most relevant to the activity-based modelling framework. This paper presents a synthesis of the strengths and weaknesses of existing tour-based mode choice models. The previous studies on tour-based mode choice models are grouped into seven categories, ranging from simplified main tour mode to complex dynamic discrete choice models. Besides, challenges with data-hungry models, simulation-based models and static models are discussed elaborately. In conclusion, it proposes a few methodological suggestions for researchers and practitioners for finding an appropriate mode choice modelling framework for activity-based models. In addition, the paper also provides a guideline on how to incorporate automated vehicles and Mobility-as-a-Service within the framework of tour-based mode choice models.

[1]  Md Sami Hasnine,et al.  Making use of elicited confidence ratings of the SP survey in a joint RP-SP model: a case study of commuting mode choices for TDM evaluations , 2020, Transportation Letters.

[2]  Oskar Blom Västberg,et al.  An Activity Based Demand Model for Large Scale Simulations , 2018, ANT/SEIT.

[3]  Joshua Auld,et al.  Framework for the development of the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model , 2009 .

[4]  Khandker Nurul Habib,et al.  An activity-based approach of investigating travel behaviour of older people , 2017 .

[5]  Heckman.  Simple Statistical Models for Discrete Panel Data Developed and Applied to Test the Hypothesis of True State Dependence against the Hypothesis of Spurious State Dependence , 1978 .

[6]  Cinzia Cirillo,et al.  Understanding variability, habit and the effect of long period activity plan in modal choices: a day to day, week to week analysis on panel data , 2014 .

[7]  Suzanne Childress,et al.  Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles , 2015 .

[8]  Juan de Dios Ortúzar,et al.  Modeling Discrete Choices in the Presence of Inertia and Serial Correlation , 2007, Transp. Sci..

[9]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[10]  K. M. Habib,et al.  A joint discrete-continuous model considering budget constraint for the continuous part: application in joint mode and departure time choice modelling , 2013 .

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

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

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

[14]  Ryuichi Kitamura,et al.  AN ACTIVITY-BASED MICROSIMULATION ANALYSIS OF TRANSPORTATION CONTROL MEASURES , 1997 .

[15]  Joffre Swait,et al.  Choice and temporal welfare impacts: incorporating history into discrete choice models , 2004 .

[16]  Peter Vovsha,et al.  Hybrid Discrete Choice Departure-Time and Duration Model for Scheduling Travel Tours , 2004 .

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

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

[19]  Chinh Q. Ho,et al.  Tour-based mode choice of joint household travel patterns on weekend and weekday , 2013, Transportation.

[20]  M. Bradley,et al.  A model for joint choice of daily activity pattern types of household members , 2005 .

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

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

[23]  Khandker Nurul Habib,et al.  Daily activity-travel scheduling behaviour of non-workers in the National Capital Region (NCR) of Canada , 2017 .

[24]  Khandker Nurul Habib,et al.  Modeling commuting mode choice jointly with work start time and work duration , 2012 .

[25]  Khandker Nurul Habib,et al.  A comprehensive utility-based system of activity-travel scheduling options modelling (CUSTOM) for worker's daily activity scheduling processes , 2018 .

[26]  Khandker Nurul Habib,et al.  What about the dynamics in daily travel mode choices? A dynamic discrete choice approach for tour-based mode choice modelling , 2018, Transport Policy.

[27]  Juan de Dios Ortúzar,et al.  Modelling correlation patterns in mode choice models estimated on multiday travel data , 2017 .

[28]  Matthew J. Roorda,et al.  Validation of TASHA: A 24-Hour Activity Scheduling Microsimulation Model , 2008 .

[29]  Abolfazl Mohammadian,et al.  Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model , 2012 .