Stated preference survey experiment design for transit-oriented development modelling
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Date
2012
Authors
Meng, L.
Taylor, M.A.P.
Holyoak, N.
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Conference paper
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Proceedings of the 35th Australasian Transport Research Forum, 2012, pp.1-26
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35th Australasian Transport Research Forum (26 Oct 2012 - 28 Oct 2012 : Perth, Western Australia)
Abstract
Stated preference experiment design for discrete choice modelling has been recognised as an important yet difficult task with regard to the selection of choice alternatives, attributes and their levels. This paper illustrates techniques for stated preference experiment design and data application in discrete choice modelling for transit-oriented development (TOD) study in a rail corridor. Based on analyses of local census data, station observations and focus groups, this experiment design selects major transport modes as alternatives for building a railway station access mode choice model and local house types for building a residential location choice model. Factors that contributed to people's choices were selected as attributes for the models, and the resident's preferences on these attributes were defined as attribute levels. To optimise survey design, this experiment adopted Bayesian efficient design with estimated prior parameters derived from transport experts in the field. These parameters then applied in utilities for testing different types of computing algorithm selections and draws to obtain an optimised efficient design resulting in lower value of D-error and S-estimates. The designed survey was tested in a pilot study and a full scale survey is just starting. Latent Class models, Random Parameters model and Error Component model were derived from pilot data with the comparison of different draws and random parameter distributions. The initial results suggest that the waiting time for bus is a significant contributor for the station access mode choice, while house type, affordability and the distance from home to preferred school are important for residential choice. The distance from home to the railway station is vital for both choices. The empirical experiment showed the suggested design technique has a high potential for being able to provide policy indications for TOD planning.
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Copyright 2012 The Authors