Combining spatial and temporal dimensions in destination choice models.

Author(s)
Cirillo, C. Cornelis, E. Legrain, L. & Toint, P.L.
Year
Abstract

This paper deals with the question of including travel constraints in a modelled representation of spatial choices. The data source used in this context is Mobel, the Belgian National Mobility Survey held in 1999. Information on socio-demographic characteristics of the household and each individual in the household are available, as well as a one-day travel diary to be filled out by all members of the household. For this paper, only the travel data related to households from the Antwerpen province were retained. To this core data set, level of service data and land-use data variables have been added using a GIS. Usually the choice set is constructed by adding to the chosen alternatives a number of alternatives randomly taken from the entire set of possible alternatives. In the literature there are several approaches to drawing the subset of alternatives from the universal choice set. In the spatial-temporal context, the number of possible destinations is restricted by keeping only those alternatives that are included in the household individual action-space, i.e. the area containing all activity places which are reachable, subject to a set of temporal and spatial constraints. A large number of explanatory variables found significant by other authors will be estimated: level of service variables (in-vehicle travel time, out-of-vehicle travel time and travel cost), level of employment (retail and service employment), and area by land use type. The use of mixed logit made it possible to take into account heterogeneity, state dependency and heteroscedasticity across individuals and across spatial-analytic issues. For the covering abstract see ITRD E126595.

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Publication

Library number
C 33719 (In: C 33295 CD-ROM) /72 / ITRD E126946
Source

In: Proceedings of the European Transport Conference ETC, Strasbourg, France, 8-10 October 2003, 15 p.

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