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Reginald G. Golledge - One of the best experts on this subject based on the ideXlab platform.

  • Computational Process modeling of household travel decisions using a geographical information system
    Papers in regional science. Vol. 73 no. 2, 2005
    Co-Authors: Reginald G. Golledge, Mei Po Kwan, Tommy Gärling
    Abstract:

    In this paper the authors show how a Computational Process model (CPM) of a household's interdependent activity/travel decisions, or activity scheduling, can be interfaced with a particular geographic information system (GIS) to describe the basic spatiotemporal pattern of household travel behavior, as well as the changes in travel behavior due to telecommuting. A conceptual framework is proposed as the basis of the CPM interfaced with the geographical information system Arc/Info.

  • Computational Process Modelling of Disaggregate Travel Behaviour
    Advances in Spatial Science, 1997
    Co-Authors: Mei Po Kwan, Reginald G. Golledge
    Abstract:

    It is common for researchers adopting an activity based approach to travel behaviour to differentiate between behaviours that are routinized and behaviours that result from deliberate choice. For example, a significantly large part of work-trip behaviour is routinized; individuals tend to use the same mode for each trip, to leave their home base at approximately the same time, to aim at arriving at approximately the same time at their work place, and to follow the same route and the same path segments that make up that route. Some other trip purposes are similarly routinized such as trips for religious purposes, and trips for medical or health related reasons — routinized in the sense of using the same mode and following the same path, even though the times at which travel may be undertaken might vary because of temporal differences in the scheduling of appointments by health professionals. Other trips such as grocery or food shopping may be routinized to a lesser extent. Instead of choosing a single destination and following a repetitive path to that destination, several alternative destinations may be kept as part of a feasible alternative set. Trip making on any given day then becomes more of a deliberate choice both in terms of selecting a specific destination and in terms of selecting the travel path. Variation can also occur in terms of travel mode. Many other trip purposes fall within the deliberated choice purview. In particular trips for social or recreational purposes, trips to meet with friends, trips undertaken for the purpose of dining away from home, business trips, and so on, all may be scheduled with different episodic intervals or frequencies, different lengths or durations, different destinations, different temporal units, different priorities, different sequences, as well as being undertaken either as single purpose or multiple purpose trips with single stop or multiple stop destinations.

  • Computational Process MODELING OF DISAGGREGATE TRAVEL BEHAVIOR
    1996
    Co-Authors: Mei Po Kwan, Reginald G. Golledge
    Abstract:

    In this paper we review attempts to develop CPM of individual travel behavior. CPM represent a linked set of computer programs together with appropriate databases which are designed to capture the essence of human decision making in different spatial situations. Used primarily for wayfinding and to simulate and predict travel behavior, CPMs bypass the difficult problems of IIA typically attributed to discrete choice models. They also allow greater emphasis on the cognitive components of decision making including cognitive maps, preferences, and departure from utility maximizing and linearity in the considerations of alternative paths and alternative destinations. The CPM illustrated herein focuses on multiperson households and models travel behavior before and after telecommuting takes place in the household° Sets of feasible alternative destinations for travel purposes are derived using GIS procedures such as buffering and path selection. Shortcomings and possible future developments of such models are then discussed.

  • DEFINING THE CRITERIA USED IN PATH SELECTION.
    1995
    Co-Authors: Reginald G. Golledge
    Abstract:

    The purpose of this paper is to examine from a cognitive behavioral point of view the Processes of path selection. This activity is designed to interface with another project concerned with building a GIS based Computational Process Model designed to identify feasible opportunity sets for destination choice and path selection. The project is multi-year in nature, depending in part on the successful completion of laboratory and survey research which is designed to define the criteria used in path selection and to show how sets of prioritized temporal activities can define spatial sets of feasible alternative destinations.

  • Computational-Process modelling of household activity scheduling
    Transportation Research Part B: Methodological, 1994
    Co-Authors: Tommy Gärling, Mei Po Kwan, Reginald G. Golledge
    Abstract:

    Abstract Models of households' travel choices are an important focus of research. For some time, it has been known that such models need to incorporate how travel depends on activity choices. It is argued that production system models constitute an alternative or necessary complementary approach if the goal is to develop models of interdependent activity and travel choices, or activity scheduling, which are based on behavioral science theories of higher cognitive Processes. Several Computational-Process models (CPMs) which implement production systems as computer programs are reviewed. Currently, no encompassing CPM exists but some may be possible to integrate in a descriptive model of activity scheduling.

Tommy Gärling - One of the best experts on this subject based on the ideXlab platform.

  • Computational Process modeling of household travel decisions using a geographical information system
    Papers in regional science. Vol. 73 no. 2, 2005
    Co-Authors: Reginald G. Golledge, Mei Po Kwan, Tommy Gärling
    Abstract:

    In this paper the authors show how a Computational Process model (CPM) of a household's interdependent activity/travel decisions, or activity scheduling, can be interfaced with a particular geographic information system (GIS) to describe the basic spatiotemporal pattern of household travel behavior, as well as the changes in travel behavior due to telecommuting. A conceptual framework is proposed as the basis of the CPM interfaced with the geographical information system Arc/Info.

  • Computational-Process modelling of household activity scheduling
    Transportation Research Part B: Methodological, 1994
    Co-Authors: Tommy Gärling, Mei Po Kwan, Reginald G. Golledge
    Abstract:

    Abstract Models of households' travel choices are an important focus of research. For some time, it has been known that such models need to incorporate how travel depends on activity choices. It is argued that production system models constitute an alternative or necessary complementary approach if the goal is to develop models of interdependent activity and travel choices, or activity scheduling, which are based on behavioral science theories of higher cognitive Processes. Several Computational-Process models (CPMs) which implement production systems as computer programs are reviewed. Currently, no encompassing CPM exists but some may be possible to integrate in a descriptive model of activity scheduling.

  • Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System
    1994
    Co-Authors: Reginald G. Golledge, Mei Po Kwan, Tommy Gärling
    Abstract:

    Household travel behavior entails interdependent deliberate decisions, as well as the execution of routines not preceded by deliberate decisions. Furthermore, travel decisions are dependent on choices to participate in activities. Because of the complexity of the decision-making Process in which individuals are engaged, Computational-Process models (CPMs) are promising means of implementing behavioral principles which unlike other disaggregate modelling approaches do not rely on a utility-maximizing framework. A conceptual framework is proposed as the basis of a CPM interfaced with the geographical information system ARC/INFO. How to model households' travel behavior is illustrated in a case study of a single household in which one member started telecommuting.

  • Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System - eScholarship
    1994
    Co-Authors: Reginald G. Golledge, Mei Po Kwan, Tommy Gärling
    Abstract:

    Household travel behavior entails interdependent deliberate decisions, as well as the execution of routines not preceded by deliberate decisions. Furthermore, travel decisions are dependent on choices to participate in activities. Because of the complexity of the decision-making Process in which individuals are engaged, Computational-Process models (CPMs) are promising means of implementing behavioral principles which unlike other disaggregate modelling approaches do not rely on a utility-maximizing framework. A conceptual framework is proposed as the basis of a CPM interfaced with the geographical information system ARC/INFO. How to model households' travel behavior is illustrated in a case study of a single household in which one member started telecommuting.

  • Computational-Process Modelling of Household Activity Scheduling
    1993
    Co-Authors: Tommy Gärling, Mei Po Kwan, Reginald G. Golledge
    Abstract:

    Models of households' travel choices are an important focus of research. For some time it has been realized that such models need to incorporate how travel depends on activity choices. It is argued that production system models constitute an alternative or necessary complementary approach if the goal is to develop models of interdependent activity and travel choices, or activity scheduling, which are based on behavioral-science theories of higher cognitive Processes. Several Computational-Process models (CPMs) which implement production systems as computer programs are reviewed. Currently, no encompassing CPM exists but some may be possible to integrate in a descriptive model of activity scheduling.

Mei Po Kwan - One of the best experts on this subject based on the ideXlab platform.

  • Computational Process modeling of household travel decisions using a geographical information system
    Papers in regional science. Vol. 73 no. 2, 2005
    Co-Authors: Reginald G. Golledge, Mei Po Kwan, Tommy Gärling
    Abstract:

    In this paper the authors show how a Computational Process model (CPM) of a household's interdependent activity/travel decisions, or activity scheduling, can be interfaced with a particular geographic information system (GIS) to describe the basic spatiotemporal pattern of household travel behavior, as well as the changes in travel behavior due to telecommuting. A conceptual framework is proposed as the basis of the CPM interfaced with the geographical information system Arc/Info.

  • Computational Process Modelling of Disaggregate Travel Behaviour
    Advances in Spatial Science, 1997
    Co-Authors: Mei Po Kwan, Reginald G. Golledge
    Abstract:

    It is common for researchers adopting an activity based approach to travel behaviour to differentiate between behaviours that are routinized and behaviours that result from deliberate choice. For example, a significantly large part of work-trip behaviour is routinized; individuals tend to use the same mode for each trip, to leave their home base at approximately the same time, to aim at arriving at approximately the same time at their work place, and to follow the same route and the same path segments that make up that route. Some other trip purposes are similarly routinized such as trips for religious purposes, and trips for medical or health related reasons — routinized in the sense of using the same mode and following the same path, even though the times at which travel may be undertaken might vary because of temporal differences in the scheduling of appointments by health professionals. Other trips such as grocery or food shopping may be routinized to a lesser extent. Instead of choosing a single destination and following a repetitive path to that destination, several alternative destinations may be kept as part of a feasible alternative set. Trip making on any given day then becomes more of a deliberate choice both in terms of selecting a specific destination and in terms of selecting the travel path. Variation can also occur in terms of travel mode. Many other trip purposes fall within the deliberated choice purview. In particular trips for social or recreational purposes, trips to meet with friends, trips undertaken for the purpose of dining away from home, business trips, and so on, all may be scheduled with different episodic intervals or frequencies, different lengths or durations, different destinations, different temporal units, different priorities, different sequences, as well as being undertaken either as single purpose or multiple purpose trips with single stop or multiple stop destinations.

  • Computational Process MODELING OF DISAGGREGATE TRAVEL BEHAVIOR
    1996
    Co-Authors: Mei Po Kwan, Reginald G. Golledge
    Abstract:

    In this paper we review attempts to develop CPM of individual travel behavior. CPM represent a linked set of computer programs together with appropriate databases which are designed to capture the essence of human decision making in different spatial situations. Used primarily for wayfinding and to simulate and predict travel behavior, CPMs bypass the difficult problems of IIA typically attributed to discrete choice models. They also allow greater emphasis on the cognitive components of decision making including cognitive maps, preferences, and departure from utility maximizing and linearity in the considerations of alternative paths and alternative destinations. The CPM illustrated herein focuses on multiperson households and models travel behavior before and after telecommuting takes place in the household° Sets of feasible alternative destinations for travel purposes are derived using GIS procedures such as buffering and path selection. Shortcomings and possible future developments of such models are then discussed.

  • Computational-Process modelling of household activity scheduling
    Transportation Research Part B: Methodological, 1994
    Co-Authors: Tommy Gärling, Mei Po Kwan, Reginald G. Golledge
    Abstract:

    Abstract Models of households' travel choices are an important focus of research. For some time, it has been known that such models need to incorporate how travel depends on activity choices. It is argued that production system models constitute an alternative or necessary complementary approach if the goal is to develop models of interdependent activity and travel choices, or activity scheduling, which are based on behavioral science theories of higher cognitive Processes. Several Computational-Process models (CPMs) which implement production systems as computer programs are reviewed. Currently, no encompassing CPM exists but some may be possible to integrate in a descriptive model of activity scheduling.

  • Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System
    1994
    Co-Authors: Reginald G. Golledge, Mei Po Kwan, Tommy Gärling
    Abstract:

    Household travel behavior entails interdependent deliberate decisions, as well as the execution of routines not preceded by deliberate decisions. Furthermore, travel decisions are dependent on choices to participate in activities. Because of the complexity of the decision-making Process in which individuals are engaged, Computational-Process models (CPMs) are promising means of implementing behavioral principles which unlike other disaggregate modelling approaches do not rely on a utility-maximizing framework. A conceptual framework is proposed as the basis of a CPM interfaced with the geographical information system ARC/INFO. How to model households' travel behavior is illustrated in a case study of a single household in which one member started telecommuting.

Pawel Wocjan - One of the best experts on this subject based on the ideXlab platform.

  • Hamiltonian quantum cellular automata in one dimension
    Physical Review A, 2008
    Co-Authors: Daniel Nagaj, Pawel Wocjan
    Abstract:

    We construct a simple translationally invariant, nearest-neighbor Hamiltonian on a chain of ten-dimensional qudits that makes it possible to realize universal quantum computing without any external control during the Computational Process. We only require the ability to prepare an initial Computational basis state that encodes both the quantum circuit and its input. The Computational Process is then carried out by the autonomous Hamiltonian time evolution. After a time polynomially long in the size of the quantum circuit has passed, the result of the computation is obtained with high probability by measuring a few qudits in the Computational basis. This result also implies that there cannot exist efficient classical simulation methods for generic translationally invariant nearest-neighbor Hamiltonians on qudit chains, unless quantum computers can be efficiently simulated by classical computers (or, put in complexity theoretic terms, unless $\mathrm{BPP}=\mathrm{BQP}$).

J. Hallam - One of the best experts on this subject based on the ideXlab platform.

  • Modelling mode-switching systems as the limit of discrete Computational Processes
    IEE Colloquium on Hybrid Control for Real-Time Systems, 1996
    Co-Authors: M.d. Westhead, J. Hallam
    Abstract:

    This paper presents a theoretical outline of a new formalism for mode switching or hybrid systems in which continuous dynamics are represented as the limit of a discrete Computational Process. Mode switching systems are systems which are composed of continuous modes switched between by discrete transitions. Most existing mode switching formalisms treat their continuous and discrete components as distinct types of Process. This new approach brings the two together and provides a platform for the investigation of the transition between continuous change and discrete events.

  • ICRA - Modeling hybrid systems as the limit of discrete Computational Processes
    Proceedings of IEEE International Conference on Robotics and Automation, 1
    Co-Authors: M.d. Westhead, J. Hallam
    Abstract:

    This paper outlines a new formalism for hybrid systems in which continuous dynamics are represented as the limit of a discrete Computational Process. Hybrid systems are systems which are composed of continuous and discrete components. Such systems often arise in robotics where operations in the continuous real world are controlled by a discrete software system. Most existing hybrid formalisms treat their continuous and discrete components as distinct types of Process. This new approach brings the two together and provides a platform for the investigation of the transition between continuous change and discrete events.