A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Evaluation of activity constrained choice sets to shopping destination choice modelling
Abstract Recent research indicates that the constraints on an individual's freedom to move through space and time, have an important influence on his likelihood to participate in various activities, and on the amount of time he budgets to them. To date, commonly used transportation planning processes have failed to incorporate the time budget concept into the various planning and policy evaluation stages. It seems as well, that one of the drawbacks of the disaggregate modelling process is its neglect of the effect of temporal constraints on an individual's choice process. The temporal constraints affect the size of choice sets of individuals and thus influence the probabilities of selection of the available alternatives. The core of this paper is to demonstrate how individual specific constraint choice sets can be defined in a destination choice model, and how they can be applied for improving accuracy in prediction. Emphasis is placed on the additional capabilities provided by the incorporation of the choice set definitions, both in terms of improved prediction accuracy, and in terms of evaluating policies, which affect the constraints on activity scheduling. A model is developed which uses knowledge concerning the constraints on shopping travel to generate choice sets of retail locations for consumers. This is done by calculating the maximum amounts of time which these constraints allow an individual to be at various retail outlets. Locations which cannot be reached while open are removed from the choice set. This model was applied to data from the Tel Aviv Metropolitan Area. The results show that applying choice set restrictions yields a modest improvement in the accuracy of prediction of shopping destination choice. Exploratory analyses indicate that by further restricting choice sets in an appropriate amnner, it may be possible to achieve substantial improvement in prediction accuracy.
Evaluation of activity constrained choice sets to shopping destination choice modelling
Abstract Recent research indicates that the constraints on an individual's freedom to move through space and time, have an important influence on his likelihood to participate in various activities, and on the amount of time he budgets to them. To date, commonly used transportation planning processes have failed to incorporate the time budget concept into the various planning and policy evaluation stages. It seems as well, that one of the drawbacks of the disaggregate modelling process is its neglect of the effect of temporal constraints on an individual's choice process. The temporal constraints affect the size of choice sets of individuals and thus influence the probabilities of selection of the available alternatives. The core of this paper is to demonstrate how individual specific constraint choice sets can be defined in a destination choice model, and how they can be applied for improving accuracy in prediction. Emphasis is placed on the additional capabilities provided by the incorporation of the choice set definitions, both in terms of improved prediction accuracy, and in terms of evaluating policies, which affect the constraints on activity scheduling. A model is developed which uses knowledge concerning the constraints on shopping travel to generate choice sets of retail locations for consumers. This is done by calculating the maximum amounts of time which these constraints allow an individual to be at various retail outlets. Locations which cannot be reached while open are removed from the choice set. This model was applied to data from the Tel Aviv Metropolitan Area. The results show that applying choice set restrictions yields a modest improvement in the accuracy of prediction of shopping destination choice. Exploratory analyses indicate that by further restricting choice sets in an appropriate amnner, it may be possible to achieve substantial improvement in prediction accuracy.
Evaluation of activity constrained choice sets to shopping destination choice modelling
Landau, Uzi (author) / Prashker, Joseph N. (author) / Alpern, Bernard (author)
Transportation Research Part A: General ; 16 ; 199-207
1981-08-24
9 pages
Article (Journal)
Electronic Resource
English
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