Predicting the Likelihood of Using Car-Sharing in the Greater Cairo Metropolitan Area

Abstract

This research investigates the influencing variables that affect the likelihood of choosing car-sharing if it launches in the Greater Cairo Metropolitan Area, Egypt. It adopts a binary logistic regression model to analyze the findings of an online stated preference survey. The results include 419 valid responses with different choice scenarios, which are based on the revealed preference of each respondent. The generated model shows statistical significance for age, car ownership, cost, and buffer time of the current mode of transport, travel time, and leisure trips. In addition, car-sharing experience, public transit, ride-hailing, walking, and biking also have significant effects. The highest-impact attributes are the car-sharing cost and access time, as the combination of setting the fare to 2 EGP per minute and limiting the access time of the shared vehicle to nearly 5 min achieved a likelihood of choosing car-sharing in nearly 77% of the responses.