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,et al. 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 .