“…In the US context, examples of the former are the National Personal Travel Survey (which does have data on travel for all purposes, not only the work trip), the American Time Use Survey, and the American Housing Survey; all of these data sets are for national samples and are very sketchy on variables measuring the geographic context of sample individuals. 6 In some cases travel diary data for a metropolitan area are accompanied by detailed spatial data bases describing the nature of the urban environment at a fine spatial scale; the Uppsala Household Travel Survey, collected in 1971 in the days before GIS, was the first to include detailed data on the urban environment (e.g., Hanson and Hanson 1980;Hanson 1982), but the current availability of urban GIS has made including such data as a part of travelactivity studies increasingly feasible (Kwan 2004). Regardless of the data source, however, gender enters analyses in this strand of the literature usually, though not always, as a binary male/female variable in a data matrix, whereas mobility is carefully measured along multiple dimensions (for example, distance and time traveled, mode of travel, linkages among trips, reasons for travel).…”