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.
Highlights
IntroductionThe sharing economy has accomplished a lot of success in various sectors, including the transportation field
Over the past years, the sharing economy has accomplished a lot of success in various sectors, including the transportation field
The developed Binary Logistic Regression (BLR) model focuses on the impact of the significant explanatory variables on the likelihood of choosing car-sharing if it launches in the Greater Cairo Metropolitan Area (GCMA)
Summary
The sharing economy has accomplished a lot of success in various sectors, including the transportation field. Car-sharing, which is the main target of this research, is a term used for a business model where the user is not a passenger, but a driver who shares the car It could be operated by companies or organizations that provide numerous vehicles for their members to share. It is a subscription-based service that provides its subscribers the access to use any car of its fleet of automobiles for short periods of time—hours or minutes—and get billed only for their usage according to time or traveled distance [1]. Many studies across the world affirmed the positive effect of car-sharing on reducing the ownership of personal cars [3,4]
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