Abstract
In this paper carsharing behavior was investigated with regard to a different and little investigated aspect of users’ behavior: modeling the propensity in adhering to a carsharing system. The propensity was modeled within the random utility framework through starting from a stated preferences survey. The main focus was on the investigation and estimation of a set of attributes able to interpret and measure the propensity. In particular, together with socio-economic and activity related attributes, the satisfaction variable (expected maximum utility) was tested in order to interpret the interest towards carsharing in light of the level of service supplied by the other transport modes and of the users’ socio-economic and activity-based characteristics. The satisfaction variable was specifically calibrated on actual mode choice behavior starting from revealed preferences data.
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