Analysis of the sharing economy effect on sustainability in the transportation sector using fuzzy cognitive mapping

Along with the significant growth of sharing economy in recent years, its effect on economy, society, and environment at level governments, academic communities, researchers has been widely discussed. One main debates is identifying side or negative effects as well positive effects. Studying cause-effect relationship variables affecting sustainability context can provide valuable results for firms. For this purpose, fuzzy cognitive maps have used. Based literature review, economy's essential that affect were identified, using Fuzzy Delphi method, these localized. Snapp Tap30 selected two largest platforms Iranian transportation sector. based aggregated opinions experts inputted to Mental Modeler online software drawn map research. The degree centrality index, i.e., summation input output degree, was used identify most relevant variables. Consequently, incentives make a greater use platform, income drivers, monopoly power platforms, price services, higher service quality private vehicles by passengers, change traffic cities identified greatest stability. Four loops one loop among seven analysis. In final section, some suggestions are presented each loop.