Measuring and predicting adaptation in multidimensional activity-travel patterns

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[1]  Harry Timmermans,et al.  ALBATROSS: Multiagent, Rule-Based Model of Activity Pattern Decisions , 2000 .

[2]  M. McNally AN ACTIVITY-BASED MICROSIMULATION MODEL FOR TRAVEL DEMAND FORECASTING , 1996 .

[3]  Fred L. Mannering Poisson analysis of commuter flexibility in changing routes and departure times , 1989 .

[4]  M. Ben-Akiva,et al.  A THEORETICAL AND EMPIRICAL MODEL OF TRIP CHAINING BEHAVIOR , 1979 .

[5]  Chandra R. Bhat,et al.  Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends , 1999 .

[6]  Eric I. Pas,et al.  STATE OF THE ART AND RESEARCH OPPORTUNITIES IN TRAVEL DEMAND: ANOTHER PERSPECTIVE , 1985 .

[7]  R. Kitamura An evaluation of activity-based travel analysis , 1988 .

[8]  John Eyles,et al.  The Geography of Everyday Life , 1989 .

[9]  Tommy Gärling,et al.  COMPUTATIONAL PROCESS MODELING OF HOUSEHOLD TRAVEL DECISIONS USING A GEOGRAPHICAL INFORMATION SYSTEM , 2005 .

[10]  Dan Gusfield,et al.  Algorithms on Strings, Trees, and Sequences: Multiple String Comparison – The Holy Grail , 1997 .

[11]  J. O. Huff,et al.  Classification issues in the analysis of complex travel behavior , 1986 .

[12]  J W Polak THE INFLUENCE OF ALTERNATIVE TRAVELLER LEARNING MECHANISMS ON THE DYNAMICS OF TRANSPORT SYSTEMS , 1998 .

[13]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[14]  Ryuichi Kitamura,et al.  The sequenced activity mobility simulator (SAMS): an integrated approach to modeling transportation, land use and air quality , 1996 .

[15]  Eric I. Pas,et al.  A Flexible and Integrated Methodology for Analytical Classification of Daily Travel-Activity Behavior , 1983 .

[16]  Chris Caplice,et al.  DAILY VARIATION OF TRIP CHAINING, SCHEDULING, AND PATH SELECTION BEHAVIOR OF WORK COMMUTERS , 1991 .

[17]  Kay W. Axhausen,et al.  ADAPTING TO CHANGE: SOME EVIDENCE FROM A SIMPLE LEARNING MODEL , 1995 .

[18]  M Dijst,et al.  INDIVIDUAL ACTION SPACE IN THE CITY. , 1997 .

[19]  Chandra R. Bhat,et al.  Continuous Time Representation and Modeling Framework for Analysis of Nonworker Activity-Travel Patterns: Tour and Episode Attributes , 2003 .

[20]  W. W,et al.  A MODEL OF COMPLEX TRAVEL BEHAVIOR: PART II-AN OPERATIONAL MODEL , 2002 .

[21]  T F Golob,et al.  DYNAMIC ANALYSES OF COMPLEX TRAVEL BEHAVIOR USING A SUBSAMPLE OF THE DUTCH NATIONAL MOBILITY PANEL , 1987 .

[22]  Hani S. Mahmassani,et al.  CHARACTERISTICS OF URBAN COMMUTER BEHAVIOR: SWITCHING PROPENSITY AND USE OF INFORMATION , 1990 .

[23]  Alden H. Wright,et al.  Genetic Algorithms for Real Parameter Optimization , 1990, FOGA.

[24]  Chandra R. Bhat,et al.  A conceptual framework of individual activity program generation , 1993 .

[25]  T Garling,et al.  HOUSEHOLD ACTIVITY SCHEDULING , 1989 .

[26]  Barbara Hayes-Roth,et al.  A Cognitive Model of Planning , 1979, Cogn. Sci..

[27]  Dimitris C. Dracopoulos,et al.  Evolutionary Learning Algorithms for Neural Adaptive Control , 1997, Perspectives in Neural Computing.

[28]  Peter Nijkamp,et al.  Transportation and mobility in an era of transition , 1985 .

[29]  Harry Timmermans,et al.  Estimating non-linear utility functions of time use in the context of an activity schedule adaptation model , 2003 .

[30]  G. Syswerda,et al.  Schedule Optimization Using Genetic Algorithms , 1991 .

[31]  Chris Caplice,et al.  Aspects of commuting behavior: Preferred arrival time, use of information and switching propensity , 1992 .

[32]  Frank S. Koppelman,et al.  Integrated Model System of Stop Generation and Tour Formation for Analysis of Activity and Travel Patterns , 1999 .

[33]  Harry J. P. Timmermans,et al.  Modelling Perception Updating of Travel Times in the Context of Departure Time Choice Under ITS , 2004, J. Intell. Transp. Syst..

[34]  E. I. Pas TIME IN TRAVEL CHOICE MODELING: FROM RELATIVE OBSCURITY TO CENTER STAGE. , 1998 .

[35]  Ta Theo Arentze,et al.  Modeling Effects of Anticipated Time Pressure on Execution of Activity Programs , 2001 .

[36]  D Damm,et al.  A Theory of Activity Scheduling Behavior , 1981 .

[37]  Torsten Hägerstraand WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[38]  F. J. Richards A Flexible Growth Function for Empirical Use , 1959 .

[39]  B. Lenntorp Paths in space-time environments : a time-geographic study of movement possibilities of individuals , 1976 .

[40]  Dan Gusfield,et al.  Algorithms on Strings, Trees, and Sequences: The Importance of (Sub)sequence Comparison in Molecular Biology , 1997 .

[41]  Hjp Harry Timmermans,et al.  Pairwise Conjoint Analysis of Activity Engagement Choice , 2000 .

[42]  S. Hanson THE DETERMINANTS OF DAILY TRAVEL-ACTIVITY PATTERNS: RELATIVE LOCATION AND SOCIODEMOGRAPHIC FACTORS , 1982 .

[43]  Hani S. Mahmassani,et al.  Experiments with departure time choice dynamics of urban commuters , 1986 .

[44]  Dick Ettema,et al.  Theories and models of activity patterns , 1997 .

[45]  S. Fujii,et al.  TWO COMPUTATIONAL PROCESS MODELS OF ACTIVITY-TRAVEL CHOICE. , 1998 .

[46]  M. McNally,et al.  Travel/activity analysis: Pattern recognition, classification and interpretation , 1985 .

[47]  D. Lipman,et al.  The multiple sequence alignment problem in biology , 1988 .

[48]  T. Arentze,et al.  A model of multi-purpose shopping trip behavior , 1993 .

[49]  Girish N. Punj,et al.  Cluster Analysis in Marketing Research: Review and Suggestions for Application , 1983 .

[50]  Ryuichi Kitamura,et al.  Activity-based Travel Analysis , 1985 .

[51]  M. Wedel,et al.  Market Segmentation: Conceptual and Methodological Foundations , 1997 .

[52]  Chandra R. Bhat,et al.  Recent Methodological Advances Relevant to Activity and Travel Behavior Analysis , 2002 .

[53]  J. Gower A General Coefficient of Similarity and Some of Its Properties , 1971 .

[54]  Satoshi Fujii,et al.  Drivers’ Learning and Network Behavior: Dynamic Analysis of the Driver-Network System as a Complex System , 1999 .

[55]  T. Arentze,et al.  Modeling Individuals’ Activity-Travel Rescheduling Heuristics: Theory and Numerical Experiments , 2002 .

[56]  Ryuichi Kitamura,et al.  Micro-simulation of daily activity-travel patterns for travel demand forecasting , 2000 .

[57]  A. Pred,et al.  Social Reproduction and the Time-Geography of Everyday Life , 1981 .

[58]  A. Chin Influences on commuter trip departure time decisions in Singapore , 1990 .

[59]  M. Gupta,et al.  Learning and adaptation , 1975, 1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes.

[60]  H. Mahmassani,et al.  TRIP TIME PERCEPTION AND JUDGMENT PROCESSES IN TRIPMAKER DECISIONS UNDER REAL-TIME TRAFFIC INFORMATION , 2002 .

[61]  Mogens Fosgerau PETRA — An Activity-based Approach to Travel Demand Analysis , 2002 .

[62]  Donggen Wang,et al.  A stated choice approach to developing multi-faceted models of activity behavior , 2000 .

[63]  J. Gower Some distance properties of latent root and vector methods used in multivariate analysis , 1966 .

[64]  Yasunori Iida,et al.  Experimental analysis of dynamic route choice behavior , 1992 .

[65]  Satoshi Fujii,et al.  Drivers’ Route Choice Rules and Network Behavior: Do Drivers Become Rational and Homogeneous Through Learning? , 2001 .

[66]  Donggen Wang,et al.  Conjoint-Based Model of Activity Engagement, Timing, Scheduling, and Stop Pattern Formation , 2000 .

[67]  M. A. McClure,et al.  Comparative analysis of multiple protein-sequence alignment methods. , 1994, Molecular biology and evolution.

[68]  Ta Theo Arentze,et al.  A Position-Sensitive Sequence-Alignment Method Illustrated for Space–Time Activity-Diary Data , 2001 .

[69]  J. Richardson,et al.  Simultaneous comparison of three protein sequences. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[70]  E. I. Pas The Effect of Selected Sociodemographic Characteristics on Daily Travel-Activity Behavior , 1984 .

[71]  Ryuichi Kitamura,et al.  Application of an Activity-Based Travel-Demand Model Incorporating a Rule-Based Algorithm , 1998 .

[72]  N. Thrift,et al.  On the Determination of Social Action in Space and Time , 1983 .

[73]  Victor J. Rayward-Smith,et al.  Modern Heuristic Search Methods , 1996 .

[74]  Pat Burnett,et al.  THE ANALYSIS OF TRAVEL AS AN EXAMPLE OF COMPLEX HUMAN BEHAVIOR IN SPATIALLY-CONSTRAINED SITUATIONS: DEFINITION AND MEASUREMENT ISSUES , 1982 .

[75]  W T Watterson,et al.  LINKED SIMULATION OF LAND USE AND TRANSPORTATION SYSTEMS: DEVELOPMENTS AND EXPERIENCE IN THE PUGET SOUND REGION. IN: TRANSPORTATION PLANNING METHODS APPLICATIONS. PROCEEDINGS, THIRD NATIONAL CONFERENCE, DALLAS, TEXAS, APRIL 22-26, 1991 , 1991 .

[76]  Tommy Gärling,et al.  Computer Simulation of Household Activity Scheduling , 1998 .

[77]  Ryuichi Kitamura,et al.  Incorporating trip chaining into analysis of destination choice , 1984 .

[78]  W.W. Recker,et al.  A MODEL OF COMPLEX TRAVEL BEHAVIOR: PART I. THEORETICAL DEVELOPMENT , 1985 .

[79]  Dan Boneh,et al.  On genetic algorithms , 1995, COLT '95.

[80]  Eric I. Pas,et al.  Travel-Activity Behavior in Time and Space: Methods for Representation and Analysis , 1985 .

[81]  Harry Timmermans,et al.  Identifying purchase-history sensitive shopper segments using scanner panel data and sequence alignment methods , 2003 .

[82]  Frank S. Koppelman,et al.  An examination of the determinants of day-to-day variability in individuals' urban travel behavior , 1986 .

[83]  Eric I. Pas ANALYTICALLY DERIVED CLASSIFICATIONS OF DAILY TRAVEL-ACTIVITY BEHAVIOR: DESCRIPTION, EVALUATION, AND INTERPRETATION , 1982 .

[84]  Francisco Herrera,et al.  Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis , 1998, Artificial Intelligence Review.

[85]  Mei-Po Kwan,et al.  GISICAS: AN ACTIVITY-BASED TRAVEL DECISION SUPPORT SYSTEM USING A GIS-INTERFACED COMPUTATIONAL-PROCESS MODEL. , 1997 .

[86]  Ta Theo Arentze,et al.  Experiences with developing ALBATROSS: a learning-based transportation oriented simulation system , 1998 .

[87]  Hjp Harry Timmermans,et al.  Vacation behavior using a sequence alignment method , 2002 .

[88]  Harry Timmermans,et al.  Sequence alignment method , 2000 .

[89]  S. Arnold A Test for Clusters , 1979 .

[90]  Harry Timmermans,et al.  A THEORY AND SIMULATION MODEL OF ACTIVITY-TRAVEL RESCHEDULING BEHAVIOR , 2001 .

[91]  J. Strathman,et al.  Effects of household structure and selected travel characteristics on trip chaining , 1994 .

[92]  H. Timmermans,et al.  Correlates of tourist vacation behavior: a combination of CHAID and loglinear logit analysis. , 1999 .

[93]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[94]  Fred L. Mannering,et al.  Occurence, frequency, and duration of commuters' work-to-home departure delay , 1990 .

[95]  E. I. Pas Weekly travel-activity behavior , 1988 .

[96]  Michael Fox,et al.  Transport planning and the human activity approach , 1995 .

[97]  Moshe Ben-Akiva,et al.  Dynamic network models and driver information systems , 1991 .

[98]  Kay W. Axhausen,et al.  The Development of a Unified Modeling Framework for the Household Activity-Travel Scheduling Process , 1999 .

[99]  S. Hanson,et al.  UNDERSTANDING COMPLEX TRAVEL BEHAVIOR: MEASUREMENT ISSUES. IN: NEW HORIZONS IN TRAVEL-BEHAVIOR RESEARCH , 1981 .

[100]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[101]  T. Arentze,et al.  New Activity Diary Format: Design and Limited Empirical Evidence , 2001 .

[102]  Stephan Krygsman,et al.  Activity and Travel Choice(s) in Multimodal Public Transport Systems , 1998 .

[103]  R. Kitamura A model of daily time allocation to discretionary out-of-home activities and trips , 1984 .

[104]  Chandra R. Bhat,et al.  A retrospective and prospective survey of time-use research , 1999 .

[105]  Ta Theo Arentze,et al.  Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations , 2000 .

[106]  Ta Theo Arentze,et al.  Analysing space-time behaviour: new approaches to old problems , 2002 .

[107]  Tzay Y. Young,et al.  Classification, Estimation and Pattern Recognition , 1974 .

[108]  Hjp Harry Timmermans,et al.  Multidimensional sequence alignment methods for activity-travel pattern analysis : a comparison of dynamic programming and genetic algorithms , 2010 .

[109]  Muzaffer Uysal,et al.  Travel Motivations of Japanese Overseas Travelers: A Factor-Cluster Segmentation Approach , 1995 .

[110]  Ryuichi Kitamura,et al.  Route Choice Model with Inductive Learning , 2000 .

[111]  Ta Theo Arentze,et al.  Pattern Recognition in Complex Activity Travel Patterns: Comparison of Euclidean Distance, Signal-Processing Theoretical, and Multidimensional Sequence Alignment Methods , 2001 .

[112]  Hjp Harry Timmermans,et al.  Assessing Urban Context-Induced Change in Individual Activity Travel Patterns: Case Study of New Railway Station , 2001 .

[113]  G. V. Kass An Exploratory Technique for Investigating Large Quantities of Categorical Data , 1980 .

[114]  Ta Theo Arentze,et al.  Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment , 2003 .

[115]  Woodrow Barfield,et al.  Statistical analysis of commuters' route, mode, and departure time flexibility , 1994 .

[116]  Sean T. Doherty,et al.  Should we abandon activity type analysis , 2003 .

[117]  S. Fujii,et al.  A DISCRETE-CONTINUOUS ANALYSIS OF TIME ALLOCATION TO TWO TYPES OF DISCRETIONARY ACTIVITIES WHICH ACCOUNTS FOR UNOBSERVED HETEROGENEITY , 1996 .

[118]  Hjp Harry Timmermans,et al.  A Stated Choice Model of Sequential Mode and Destination Choice Behaviour for Shopping Trips , 1996 .

[119]  Dinesh Gopinath,et al.  Travel demand model system for the information era , 1996 .

[120]  E. Miller,et al.  A computerized household activity scheduling survey , 2000 .

[121]  A. Pred 'THE CHOREOGRAPHY OF EXISTENCE: COMMENTS ON HAGERSTRAND'S TIME-GEOGRAPHY AND ITS USEFULNESS , 1977 .

[122]  G D Schuler,et al.  A workbench for multiple alignment construction and analysis , 1991, Proteins.

[123]  Hani S. Mahmassani,et al.  EXPERIMENTAL INVESTIGATION OF ROUTE AND DEPARTURE TIME CHOICE DYNAMICS OF URBAN COMMUTERS , 1988 .

[124]  Tommy Gärling,et al.  The role of anticipated time pressure in activity scheduling , 1999 .

[125]  K. Axhausen,et al.  Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems , 1992 .

[126]  S Gregory Hatcher,et al.  DAILY VARIABILITY OF ROUTE AND TRIP SCHEDULING DECISIONS FOR THE EVENING COMMUTE , 1992 .