Choice set generation from GPS data set for grocery shopping location choice modelling in canton Zurich: Comparison with the Swiss Microcensus 2005
Year: 2009
Type: report
Abstract: This paper describes a set of new procedures used to generate choice sets for grocery shopping destination choices observed in a large scale GPS data set.The procedures are a rulebased identification of the shopping trips, defining places from the observed locations using a hierarchical-clustering algorithm and finally a rule-based identification of the place of home and work/education and implicitly with this the imputation of the trip purposes.The GPS traces were collected by volunteers: 2,435 persons in Zurich and 1,086 persons in the smaller city of Winterthur.No socio-demographic information such as age, sex, income, etc. was available for this research, as the data was collected for a different purpose.The choice sets are generated by transport mode used for the shopping trip; car, walking and urban public transport whereas trips by intercity rail and bicycle were excluded since their numbers are too low for an estimation of a destination choice model, the ultimate purpose of the overall project.The results were compared with the Swiss Microcensus (MZ) 2005, the national travel behaviour survey, for time-of-week, time-of-day, duration, duration of the shopping activity.While the quality of the results was high, the comparisons highlight instructive differences resulting from the different data generation process.
Authors: Kawasaki, Tomoya, Axhausen, Kay W.
Institution: Tokyo Institute of Technology
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1561099298