This paper describes the estimation of a nested logit model of parking location choice using revealed preference data. These data concerned the behavior of drivers going to work in a central business district. The model's nested structure acknowledges the relatively greater similarity among off-street and among on-street alternatives on their own. Each individual parking facility and surface lot is represented as a distinct off-street alternative. Areas of on-street parking constitute on-street alternatives. Special parking provided by employers is also represented separately. A variety of attributes other than money cost and separation from final destination were considered for the model's utility functions. Both the proposed nested structure and the inclusion of measures representing various attributes other than money cost and separation from final destination were found to be appropriate.
